Edited & Conference Books – Jupiter Publications Consortium https://jpc.in.net Best Publishing House in India Thu, 18 Jun 2026 10:17:07 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 https://i0.wp.com/jpc.in.net/wp-content/uploads/2023/07/logo-Copy.png?fit=32%2C32&ssl=1 Edited & Conference Books – Jupiter Publications Consortium https://jpc.in.net 32 32 221206694 Data, Design, and Development Goals Digital Transformation for Sustainability https://jpc.in.net/product/data-design-and-development-goals-digital-transformation-for-sustainability/ https://jpc.in.net/product/data-design-and-development-goals-digital-transformation-for-sustainability/#respond Thu, 18 Jun 2026 09:58:05 +0000 https://jpc.in.net/?post_type=product&p=25668

Data, Design, and Development Goals: Digital Transformation for Sustainability is an interdisciplinary edited academic volume that explores how digital transformation, data-driven systems, artificial intelligence, design thinking, smart technologies, and sustainable innovation contribute to the achievement of the Sustainable Development Goals.

Edited by: Mrs. S. Bhuvaneshwari
Publisher: Jupiter Publications Consortium India
ISBN: 978-93-86388-49-0
DOI: 10.47715/978-93-86388-49-0
Price: Rs.400/-

Digital Transformation Sustainability SDGs Artificial Intelligence Smart Cities Digital Governance Climate Action
]]>

Data, Design, and Development Goals

Digital Transformation for Sustainability is an interdisciplinary edited academic volume that examines how data-driven systems, digital innovation, artificial intelligence, design thinking, smart technologies, and sustainable governance can support the achievement of the Sustainable Development Goals.

Edited by Mrs. S. Bhuvaneshwari, this volume brings together scholarly chapters on poverty reduction, food security, health and well-being, quality education, gender equality, clean water, renewable energy, economic growth, smart cities, circular economy, climate action, urban digital twins, terrestrial ecosystems, intelligent governance, global partnerships, and India’s SDG progress.

  • Editor: Mrs. S. Bhuvaneshwari
  • Publisher: Jupiter Publications Consortium India
  • Edition: First Edition
  • Date of Publication: 15th June 2026
  • ISBN: 978-93-86388-49-0
  • DOI: 10.47715/978-93-86388-49-0
  • Price: Rs.400/-

Product Description

Data, Design, and Development Goals: Digital Transformation for Sustainability explores the relationship between emerging digital technologies and sustainable development. It presents SDG-focused academic chapters that connect data analytics, artificial intelligence, smart systems, digital governance, sustainable design, and development policy.

The book highlights how digital transformation can move beyond technical modernization and become a catalyst for inclusive growth, efficient institutions, smart infrastructure, climate responsiveness, responsible consumption, environmental sustainability, and social equity. It is designed for students, researchers, educators, policymakers, sustainability professionals, and technology practitioners.

Book Details

Title
Data, Design, and Development Goals
Subtitle
Digital Transformation for Sustainability
Editor
Mrs. S. Bhuvaneshwari
Publisher
Jupiter Publications Consortium India
Edition
First Edition
Date of Publication
15th June 2026
ISBN
978-93-86388-49-0
Price
Rs.400/-
No. of Pages
282
Subject Area
Digital Transformation, Sustainability, Sustainable Development Goals
Publisher Email
director@jpc.in.net

About the Volume

This edited academic volume brings together interdisciplinary perspectives on the relationship between data-driven systems, digital innovation, design thinking, and the Sustainable Development Goals. The book examines how digital transformation can contribute to inclusive growth, resilient institutions, smart infrastructure, sustainable cities, health, education, climate action, responsible consumption, and global partnerships.

The chapters are arranged around SDG-focused themes and demonstrate how emerging technologies, analytics, artificial intelligence, digital governance, smart systems, and sustainable design approaches can be applied to contemporary developmental challenges.

Core Themes

Digital Transformation
Sustainable Development Goals
Artificial Intelligence
Data Analytics
Design Thinking
Smart Cities
Digital Governance
Climate Action
Renewable Energy
Circular Economy
Urban Digital Twins
Sustainable Development

Key Features

  • Interdisciplinary academic treatment of digital transformation and sustainability.
  • SDG-focused chapters covering social, economic, environmental, institutional, and technological dimensions.
  • Coverage of artificial intelligence, data analytics, digital governance, smart systems, renewable energy, and urban digital twins.
  • Useful for students, faculty members, researchers, policymakers, and development professionals.
  • Includes chapter-wise discussions on poverty, hunger, health, education, gender equality, climate action, governance, and partnerships.
  • Connects sustainable development challenges with digital innovation and design-based solutions.
  • Suitable for courses in sustainability, digital transformation, data science, public policy, computer science, and development studies.
  • Includes contributors list, glossary, abbreviations, editor profile, and structured chapter organization.

Who Should Read This Book?

  • Undergraduate and postgraduate students
  • Research scholars
  • Faculty members and academic professionals
  • Computer science and data science learners
  • Management and public policy students
  • Sustainability researchers
  • Technology and innovation professionals
  • Policy planners and development practitioners
  • Smart city and digital governance professionals
  • Readers interested in SDGs and sustainable digital transformation

About the Editor

Mrs. S. Bhuvaneshwari

Mrs. S. Bhuvaneshwari, M.Sc., M.Phil., (Ph.D. Pursuing), is currently working as an Assistant Professor in the Department of Computer Science at Dr. M.G.R. Educational and Research Institute, Maduravoyal, Chennai, Tamil Nadu, India.

Her research areas include Data Mining in Machine Learning and Deep Learning. She is also an active member of the Institute of Green Engineers (IGEN), where she works toward the United Nations Sustainable Development Goals, improved decision-making, and sustainable innovation.

Editorial Focus

The editor has brought together academic contributions that connect technology, sustainability, data, design, governance, and development goals. The volume reflects an interdisciplinary vision for applying digital transformation to real-world sustainability challenges.

Contributors

Dr. Ramani R.
M. Sindhuja
Ms. K. Suganya
S. S. Aljaswana
Dr. G. Nandhini
S. Tamil Selvi
Dr. D. Usha
L. Rajalakshmi
Dr. Vaidehi
S. Bhuvaneshwari
Dr. S. Nirmala Sugirtha Rajini
S. Sangeetha
A. Florence
R. Meera
Ms. Selvarani
Mrs. K. Anitha
Dr. R. Usha Nandhini
Dr. G. Grace Jebakani Sweety
Mr. U. Mohan
S. Bakyalakshmi
D. Vijayalakshmi
M. Suwithra
Dr. A. R. Arunachalam
Mr. Adit
Dr. P. Subburethina Bharathi

Table of Contents

Chapter 1: GOAL 1 – No Poverty by 2030: Building a Better Future for All

Author: Dr. Ramani R.
Page: 1

Chapter 2: GOAL 2 – The Cost of Nourishment: Analysing the Impact of Food Price Inflation and Supply Chain Friction on Achieving SDG 2

Author: M. Sindhuja
Page: 15

Chapter 3: GOAL 3 – Good Health and Well-Being: Ensuring Healthy Lives and Promoting Well-Being for All

Author: Ms. K. Suganya
Page: 26

Chapter 4: GOAL 4 – The Comprehensive Architecture of SDG 4

Author: S. S. Aljaswana
Page: 40

Chapter 5: GOAL 5 – Advancing Gender Equality and Women’s Empowerment

Author: Dr. G. Nandhini
Page: 57

Chapter 6: GOAL 6 – AI-Driven Smart Water Management for Sustainable Cities

Authors: S. Tamil Selvi and Dr. D. Usha
Page: 75

Chapter 7: GOAL 7 – Hybrid LSTM-XGBoost Model for Renewable Energy Forecasting

Authors: L. Rajalakshmi and Dr. Vaidehi
Page: 86

Chapter 8: GOAL 8 – Hybrid ARIMA-LSTM Model for Stock Price Prediction

Authors: S. Bhuvaneshwari and Dr. S. Nirmala Sugirtha Rajini
Page: 101

Chapter 9: GOAL 9 – Vision Image Processing

Authors: S. Sangeetha and Dr. S. Nirmala Sugirtha Rajini
Page: 112

Chapter 10: GOAL 10 – Impact of Digital Transformation toward Sustainable Development

Authors: A. Florence and R. Meera
Page: 123

Chapter 11: GOAL 11 – Strategic Frameworks for Sustainable Cities and Communities

Authors: Ms. Selvarani and Mrs. K. Anitha
Page: 137

Chapter 12: GOAL 12 – Circular Economy, Sustainable Living, and Digital Transformation

Author: Dr. R. Usha Nandhini
Page: 149

Chapter 13: GOAL 13 – Climate Change Mitigation and Global Sustainability

Author: Dr. G. Grace Jebakani Sweety
Page: 172

Chapter 14: GOAL 14 – Urban Digital Twins Integration in Smart City Development

Author: Mr. U. Mohan
Page: 187

Chapter 15: GOAL 15 – Life on Land: Beyond Conservation and Terrestrial Ecosystems

Authors: S. Bakyalakshmi and D. Vijayalakshmi
Page: 205

Chapter 16: GOAL 16 – Artificial Intelligence, Justice, Peace, and Robust Institutions

Authors: M. Suwithra and Dr. A. R. Arunachalam
Page: 227

Chapter 17: GOAL 17 – Beyond Insolvency and the G20 Common Framework

Author: Mr. Adit
Page: 240

Chapter 18: GOAL 18 – The Indian Context of Sustainable Development

Author: Dr. P. Subburethina Bharathi
Page: 248

Chapter-wise Abstracts and Keywords

Chapter 1 – No Poverty by 2030

Author: Dr. Ramani R.

Abstract: This chapter discusses SDG 1 and the mission to end poverty in all its forms by 2030. It explains the causes and effects of poverty, including unemployment, lack of education, inequality, poor healthcare, climate change, and political instability.

Keywords: No Poverty, SDG 1, Social Protection, Education, Employment, Financial Inclusion, Poverty Reduction.

Chapter 2 – Food Price Inflation and Supply Chain Friction

Author: Mrs. M. Sindhuja

Abstract: This chapter examines how food price inflation and supply chain disruption affect the achievement of SDG 2. It focuses on food security, global food commodity prices, hunger, nutrition, and the need for resilient food systems.

Keywords: Zero Hunger, SDG 2, Food Price Inflation, Supply Chain Friction, Food Security, Nutrition.

Chapter 3 – Good Health and Well-Being

Author: Ms. K. Suganya

Abstract: This chapter focuses on SDG 3 and discusses public health, disease prevention, mental health, healthcare access, universal health coverage, digital health, and resilient healthcare systems.

Keywords: Health, Well-Being, Healthcare, Public Health, Mental Health, Disease Prevention, Universal Health Coverage.

Chapter 4 – Quality Education and Global Educational Disparities

Author: S. S. Aljaswana

Abstract: This chapter analyzes educational disparities, institutional barriers, financial bottlenecks, marginalized learners, and multi-sectoral strategies required to achieve inclusive and equitable quality education under SDG 4.

Keywords: SDG 4, Quality Education, Educational Disparities, Human Capital, Inclusive Education.

Chapter 5 – Gender Equality and Women’s Empowerment

Author: Dr. G. Nandhini

Abstract: This chapter examines gender equality as a foundation for sustainable development, social justice, economic progress, education, healthcare, political participation, and women’s empowerment.

Keywords: Gender Equality, Women Empowerment, Gender-Based Violence, Economic Empowerment, SDG 5.

Chapter 6 – AI-Driven Smart Water Management

Authors: S. Tamil Selvi and Dr. D. Usha

Abstract: This chapter explores artificial intelligence, Internet of Things, and deep learning for water demand forecasting, leakage detection, and efficient smart water management.

Keywords: SDG 6, Smart Water Management, Artificial Intelligence, Deep Learning, LSTM, Leakage Detection, IoT.

Chapter 7 – Renewable Energy Forecasting

Authors: L. Rajalakshmi and Dr. Vaidehi

Abstract: This chapter studies renewable energy forecasting through a hybrid LSTM-XGBoost model and connects clean energy forecasting, smart grids, and sustainable development with SDG 7.

Keywords: Renewable Energy, SDG 7, LSTM, XGBoost, Smart Grid, Energy Forecasting, Deep Learning.

Chapter 8 – Stock Price Prediction and Financial Stability

Authors: S. Bhuvaneshwari and Dr. S. Nirmala Sugirtha Rajini

Abstract: This chapter examines stock price prediction using a hybrid ARIMA-LSTM model and connects financial forecasting with economic stability and SDG 8.

Keywords: Stock Price Prediction, Hybrid ARIMA-LSTM, Hyperparameter Optimization, Financial Stability, SDG 8.

Chapter 9 – Vision Image Processing

Authors: S. Sangeetha and Dr. S. Nirmala Sugirtha Rajini

Abstract: This chapter discusses vision image processing, machine learning, smart devices, IoT, visual data analysis, and digital transformation in modern technological systems.

Keywords: Vision Image Processing, Machine Learning, IoT, Image Analysis, Smart Devices, Digital Transformation.

Chapter 10 – Digital Transformation and Sustainable Development

Authors: A. Florence and R. Meera

Abstract: This chapter studies how digital transformation supports sustainability, efficiency, stakeholder engagement, governance, competitiveness, and long-term organizational development.

Keywords: Digital Transformation, Sustainable Development, Digital Technology, Stakeholders, Economy, Governance.

Chapter 11 – Sustainable Cities and Communities

Authors: Ms. Selvarani and Mrs. K. Anitha

Abstract: This chapter explores strategic frameworks for sustainable cities, smart infrastructure, urban planning, ecological responsibility, social inclusion, and community resilience.

Keywords: Sustainable Cities, SDG 11, Smart Infrastructure, Urban Planning, Community Resilience.

Chapter 12 – Circular Economy and Sustainable Living

Author: Dr. R. Usha Nandhini

Abstract: This chapter examines circular economy principles, sustainable living, responsible consumption, production, AI-enabled sustainability, waste management, and SDG 12 implementation in India.

Keywords: Circular Economy, Sustainable Living, SDG 12, Responsible Consumption, Digital Transformation, Waste Management.

Chapter 13 – Climate Change Mitigation

Author: Dr. G. Grace Jebakani Sweety

Abstract: This chapter examines climate change, global warming, greenhouse gases, mitigation, adaptation, awareness, renewable energy, and environmental protection under SDG 13.

Keywords: Climate Action, Global Warming, Greenhouse Gases, Sustainability, Paris Agreement, Renewable Energy, SDG 13.

Chapter 14 – Urban Digital Twins

Author: Mr. U. Mohan

Abstract: This chapter explores Urban Digital Twins and their role in smart city development, sustainability, urban planning, artificial intelligence, data integration, and edge computing.

Keywords: Urban Digital Twins, Artificial Intelligence, Smart Cities, Sustainable Urban Planning, Data Integration, Edge Computing.

Chapter 15 – Life on Land

Authors: S. Bakyalakshmi and D. Vijayalakshmi

Abstract: This chapter focuses on terrestrial ecosystems, biodiversity, land degradation, desertification, ecosystem services, conservation, environmental policy, and SDG 15.

Keywords: SDG 15, Terrestrial Ecosystems, Land Degradation, Desertification, Biodiversity, Environmental Policy.

Chapter 16 – AI, Justice, Peace, and Institutions

Authors: M. Suwithra and Dr. A. R. Arunachalam

Abstract: This chapter examines the role of AI in strengthening peace, justice, governance, institutional transparency, accountability, digital governance, blockchain, and citizen participation.

Keywords: AI, SDG 16, Governance, Peace, Justice, Strong Institutions, Blockchain, Transparency, Accountability.

Chapter 17 – G20 Common Framework and SDG 17

Author: Mr. Adit

Abstract: This chapter critically examines the G20 Common Framework for Debt Treatment, sovereign debt distress, debt restructuring, international cooperation, private sector holdouts, and debt sustainability.

Keywords: G20 Common Framework, SDG 17, Sovereign Debt Distress, Debt Sustainability, Geopolitical Friction.

Chapter 18 – The Indian Context of Sustainable Development

Author: Dr. P. Subburethina Bharathi

Abstract: This chapter examines India’s approach to SDG implementation through NITI Aayog, MoSPI, the National Indicator Framework, SDG India Index, Aspirational Districts Programme, clean energy, digital infrastructure, and localized governance.

Keywords: Sustainable Development Goals, SDG India Index, NITI Aayog, Localization, Indian Development, SDG Monitoring.

Glossary Highlights

Digital Transformation
Sustainability
Sustainable Development Goals
Data-Driven Decision-Making
Artificial Intelligence
Social Protection
Financial Inclusion
Smart Cities
Digital Governance
Circular Economy
Climate Action
Renewable Energy

Abbreviations Used

AI
Artificial Intelligence
ARIMA
AutoRegressive Integrated Moving Average
DT
Digital Transformation
IoT
Internet of Things
LSTM
Long Short-Term Memory
SDG
Sustainable Development Goal
UN
United Nations
XGBoost
Extreme Gradient Boosting

How to Use This Book

Readers may approach this volume chapter by chapter to understand the wider relationship between digital transformation and the Sustainable Development Goals. They may also select individual SDG chapters based on academic, research, teaching, or professional interest.

Instructors may use this book as discussion material for courses in sustainability, digital transformation, data science, computer science, public policy, management, governance, and interdisciplinary development studies.

Citation Format

Bhuvaneshwari, S. (Ed.). (2026). Data, Design, and Development Goals: Digital Transformation for Sustainability. Jupiter Publications Consortium India. ISBN: 978-93-86388-49-0. DOI: 10.47715/978-93-86388-49-0

Copyright and Disclaimer

Copyright in each chapter remains with the respective author(s), unless otherwise assigned by written agreement. Copyright in the editorial arrangement, front matter, and compilation belongs to the editor and publisher as applicable. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means without prior written permission from the publisher and/or the concerned rights holder.

The views expressed in the chapters are those of the contributing authors. The editor and publisher are not responsible for any errors, omissions, interpretations, or consequences arising from the use of information contained in this volume.

Publisher Information

Jupiter Publications Consortium India
22/102 Second St., Venkatesa Nagar, Virugambakkam,
Chennai – 600092, Tamil Nadu, India

Phone: +91 9790911374, 9962578190
Email: director@jpc.in.net
Website: www.jpc.in.net

Suggested Product Tags

Digital Transformation
Sustainable Development Goals
Sustainability
Artificial Intelligence
Data Analytics
Smart Cities
Digital Governance
Climate Action
Circular Economy
Renewable Energy

]]>
https://jpc.in.net/product/data-design-and-development-goals-digital-transformation-for-sustainability/feed/ 0 25668
Anthology of Prose, Poetry and Fiction https://jpc.in.net/product/anthology-of-prose-poetry-and-fiction/ https://jpc.in.net/product/anthology-of-prose-poetry-and-fiction/#respond Fri, 12 Jun 2026 11:57:54 +0000 https://jpc.in.net/?post_type=product&p=25635

Anthology of Prose, Poetry and Fiction

A complete undergraduate English course book designed to develop reading, vocabulary, comprehension, grammar, speaking and writing skills through selected prose, poetry and fiction.

This learner-friendly academic volume connects literary appreciation with practical English language development, making it useful for students, teachers, English departments and college libraries.

Edited by: Dr. M. Suchitra Reddy
Publisher: Jupiter Publications Consortium
ISBN: 978-93-86388-46-9
DOI: 10.47715/978-93-86388-46-9
Price: Rs.400/-

Undergraduate English Prose Poetry Fiction Grammar Vocabulary Communication Skills Course Book

Published by Jupiter Publications Consortium, Chennai, Tamil Nadu, India.

]]>

Anthology of Prose, Poetry and Fiction

Anthology of Prose, Poetry and Fiction is a refined undergraduate English course book designed to strengthen language learning through selected prose, poetry and fiction. It brings together literary appreciation, grammar, vocabulary, comprehension, speaking practice and written expression in one structured academic volume.

Prepared for undergraduate learners, this course book uses literature not merely as reading material, but as a practical foundation for communication, expression and critical understanding. The book is suitable for classroom teaching, guided academic practice and independent learning.

A Complete English Course Book for Undergraduate Learners

This academic course book is designed to help learners understand and use English effectively in academic, social and communicative contexts. It connects literary reading with language development, enabling students to read thoughtfully, speak confidently and write with greater clarity.

Each lesson follows a learner-friendly sequence: pre-reading activity, author introduction, lesson overview, main text, glossary, comprehension questions, vocabulary enrichment and language development tasks. This structure makes the book highly useful for both teachers and students.

Course Book
Undergraduate English
Literature-Based Learning
Grammar Practice
Communication Skills

Why This Book Stands Out

Literature-Based Language Learning

The book uses prose, poetry and fiction to make English learning meaningful, reflective and enjoyable for undergraduate learners.

Student-Friendly Lesson Design

Every chapter follows a clear academic structure with pre-reading tasks, summaries, glossaries, questions and practical language activities.

Communication-Oriented Approach

The selections help students improve reading, speaking, vocabulary, comprehension and written expression for academic and real-life use.

Useful for Classroom Teaching

Teachers can use the book as a complete course manual for undergraduate English instruction, discussion, assignments and assessment preparation.

Course Design and Pedagogical Value

Pre-Reading Engagement

The lessons begin with reflective questions that prepare students to connect personal experience with the theme of the text.

Contextual Understanding

Author introductions and lesson summaries help learners understand the background, purpose and central idea of each selection.

Vocabulary Development

Glossaries and word-based activities support vocabulary growth and help students understand difficult expressions in context.

Language Practice

Grammar, comprehension and writing tasks provide practical reinforcement for classroom learning and examination preparation.

Book Details

Title
Anthology of Prose, Poetry and Fiction
Subtitle
English Course Book for Undergraduate Learners: Part I & II
Editor
Dr. M. Suchitra Reddy
Institution
R. B. V. R. R. Women’s College, Narayanaguda, Hyderabad
Publisher
Jupiter Publications Consortium
Place of Publication
Chennai, Tamil Nadu, India
ISBN
978-93-86388-46-9
Price
Rs.400/-
Date of Publication
05.06.2026
Edition
Academic Course-Book Edition
Subject Area
Undergraduate English Language and Literature

Key Academic Themes

Undergraduate English
Prose
Poetry
Fiction
Grammar
Vocabulary
Comprehension
Communication Skills
Literary Appreciation
Self-Learning
Classroom Teaching
Academic English

Learning Outcomes

  • Develop effective reading comprehension through literary texts.
  • Improve vocabulary through contextual usage and glossaries.
  • Understand prose, poetry and fiction as forms of expression.
  • Strengthen grammar through structured language activities.
  • Build confidence in speaking and written communication.
  • Analyse themes, tone, style, character and literary meaning.
  • Prepare for classroom discussion, assignments and examinations.
  • Encourage independent learning through guided exercises.

Recommended For

Undergraduate Students

Suitable for learners studying English as a course paper and seeking improvement in reading, comprehension, grammar and communication skills.

English Teachers

Useful for teachers handling prose, poetry, fiction, grammar and language development in undergraduate classrooms.

Autonomous Colleges

A helpful course-book model for institutions preparing learner-centred English materials for undergraduate programmes.

Libraries and Departments

A valuable addition to college libraries, English departments and academic resource centres.

Academic and Classroom Use

The book can be used as a primary course text for undergraduate English classes, bridge courses, foundation English programmes, communication skills sessions and classroom-based literary appreciation modules.

Its chapter-wise design allows teachers to conduct reading activities, vocabulary work, grammar practice, comprehension discussion and short writing exercises in a systematic manner. Students benefit from the gradual movement from text understanding to language application.

Table of Contents

Front Matter

Publication Details
Foreword

Part I: Introduction

Introduces learners to English language development through selected prose, poetry and grammar-based activities.

Chapter 1: Spoken English and Broken English

A reflective prose selection on speech, pronunciation, intelligibility and the idea that English differs across speakers and situations.

Chapter 2: On Saying Please

A lesson on politeness, civility, good manners and the social value of courteous communication.

Chapter 3: Ode to Autumn

A poetic selection that introduces learners to nature, imagery, season and poetic beauty.

Chapter 4: A Psalm of Life

A motivational poem that encourages purposeful living, courage, action and optimism.

Chapter 5: Where the Mind Is Without Fear

A powerful poem on freedom, truth, reason, courage and national awakening.

Chapter 6: Girls

A socially relevant lesson that encourages reflection on gender, childhood, family attitudes and society.

Appendix

Supplementary language practice for grammar, vocabulary and written expression.

Part II: Introduction

Extends the learner’s engagement with prose, poetry, confidence-building, communication and literary appreciation.

Chapter 7: Shyness My Shield

A reflective selection on shyness, silence, public speaking and self-development.

Chapter 8: Good Manners

A lesson on respectful conduct, good behaviour and social discipline in public and personal life.

Chapter 9: The Solitary Reaper

A lyrical poem on music, rural life, imagination, memory and emotional response.

Chapter 10: Mirror

A poetic selection that supports discussion on reflection, truth, perception and self-image.

Chapter 11: Curious Mishaps

A literary selection that explores curiosity, observation, sudden incidents and poetic response.

Chapter 12: When You Dread Failure

A motivating prose lesson on fear, failure, perseverance and constructive response to setbacks.

About the Editor

Dr. M. Suchitra Reddy

Head and Assistant Professor, Department of English and Foreign Languages, R. B. V. R. R. Women’s College.

Editorial Vision

The book reflects a learner-centred approach to English teaching by combining literary selections with practical language development activities for undergraduate learners.

A Practical Course Book for Confident English Learning

This book is suitable for students, teachers, English departments and academic institutions looking for a structured, accessible and literature-based English course book. It supports meaningful reading, classroom discussion, vocabulary growth, grammar practice and communicative confidence.

Recommended Citation

Suchitra Reddy, M. (Ed.). (2026). Anthology of Prose, Poetry and Fiction: English Course Book for Undergraduate Learners: Part I & II. Chennai, Tamil Nadu, India: Jupiter Publications Consortium. ISBN: 978-93-86388-46-9. DOI: 10.47715/978-93-86388-46-9.

Publication Rights

Copyright © 2026 Jupiter Publications Consortium. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means without prior written permission of the publisher, except for fair dealing, academic quotation and uses otherwise permitted by law.

]]>
https://jpc.in.net/product/anthology-of-prose-poetry-and-fiction/feed/ 0 25635
Beyond the Audit: A Legal Framework of Taxation https://jpc.in.net/product/beyond-the-audit-a-legal-framework-of-taxation/ https://jpc.in.net/product/beyond-the-audit-a-legal-framework-of-taxation/#respond Wed, 20 May 2026 14:00:58 +0000 https://jpc.in.net/?post_type=product&p=25622 https//:www.doi.org/10.47715/978-93-86388-69-8 No.of.Pages: 338 (Includes Front Matters)]]>




Beyond the Audit: A Legal Framework of Taxation



Edited Academic Volume · Indian Taxation Law

Beyond the Audit

A Legal Framework of Taxation

A scholarly edited book examining taxation as a legal framework shaped by constitutional principles, administrative institutions, digital transformation, economic policy, fiscal federalism, taxpayer rights, and regulatory reform.

Edited by
Prof. (Dr.) V.J. Praneshwaran; Dr. Seema Surendran; Ms. Nirmala R. Harish

Front cover of Beyond the Audit: A Legal Framework of Taxation

Publication Details

Book Information

Title
Beyond the Audit
Subtitle
A Legal Framework of Taxation
Editors
Prof. (Dr.) V.J. Praneshwaran; Dr. Seema Surendran; Ms. Nirmala R. Harish
Publisher
Jupiter Publications Consortium India
Publisher Address
22/102 Second St., Venkatesa Nagar, Virugambakkam, Chennai – 600092, Tamil Nadu, India
Phone
+91 9790911374, 9962578190
Edition
First edition
Published on
12.05.2026
ISBN
978-93-86388-69-8
Pages
338 pages, including front matter

Scope and Purpose

About the Volume

Beyond the Audit: A Legal Framework of Taxation is an edited academic volume that examines taxation law as a dynamic field of legal, economic, constitutional, and administrative governance. The volume brings together research contributions on selected contemporary issues in Indian taxation, with particular attention to the changing nature of tax compliance, fiscal federalism, digital taxation, taxpayer rights, and regulatory reform.

The book moves beyond the traditional understanding of taxation as a technical process of assessment, filing, and audit. It explores taxation as a legal framework that affects businesses, individuals, governments, and markets. The chapters analyse both direct and indirect tax questions, including income tax administration, advance tax, taxation of virtual digital assets, intellectual property rights, ancestral property, angel tax, customs duties, and cross-border tax disputes.

A significant part of the volume focuses on the Goods and Services Tax regime. The chapters examine the dual GST structure, GST Council federalism, reverse charge mechanism, GST 2.0 reforms, digital service exports, border carbon taxation, and the compliance burden on MSMEs. These discussions highlight how GST has reshaped Indian fiscal governance while continuing to raise important questions of equity, administrative efficiency, and taxpayer convenience.

The volume also engages with emerging challenges in tax administration, including artificial intelligence, faceless assessment, digital compliance systems, privacy concerns in tax investigations, and the use of technology in revenue enforcement. These chapters demonstrate how modern taxation increasingly intersects with data governance, constitutional rights, and institutional accountability.

01

Direct Taxation

Income tax administration, advance tax, angel tax, virtual digital assets, intellectual property taxation, ancestral property, and investigatory powers.

02

Indirect Taxation

GST, dual GST, GST Council federalism, reverse charge mechanism, export of digital services, MSME compliance, and customs enforcement.

03

Emerging Governance

Artificial intelligence, faceless assessment, data privacy, carbon taxation, fiscal federalism, and digital compliance ecosystems.

Editorial Note

Preface

Beyond the Audit: A Legal Framework of Taxation is an edited academic volume that brings together student scholarship on contemporary issues in Indian taxation law. The title reflects the central purpose of the book: to move beyond a narrow understanding of taxation as assessment, audit, and collection, and to examine taxation as a legal framework shaped by constitutional principles, administrative institutions, economic policy, technological change, and taxpayer rights.

The chapters in this volume engage with a wide range of themes across direct and indirect taxation. They examine the constitutional foundations of taxation, the legislative structure of income tax, the Goods and Services Tax regime, the dual GST model, GST Council federalism, reverse charge, digital services, GST 2.0 reforms, MSME compliance burdens, and the principle of equity in digital taxation. The book also includes focused studies on advance tax and SME liquidity, angel tax, virtual digital assets, intellectual property taxation, ancestral property, double taxation avoidance agreements, customs duties and smuggling, border carbon taxation, artificial intelligence in tax administration, and privacy concerns in tax investigations.

Collectively, these contributions show that taxation law is no longer limited to conventional questions of liability and exemption. It increasingly intersects with digital governance, cross-border commerce, environmental regulation, data privacy, fiscal federalism, startup financing, and the formalisation of small businesses. The volume therefore seeks to present taxation as a dynamic field of public law and economic governance, where statutory interpretation, administrative efficiency, and fairness must constantly be balanced.

The chapters have been arranged alphabetically by contributor name for consistency and ease of reference. This editorial choice allows each contribution to stand independently while preserving a coherent structure for readers. The formatting of the book follows a compact US Trade size layout suitable for print publication and digital circulation.

Reader Guide

How to Use This Edited Book

This edited book is designed as a scholarly reference for readers interested in contemporary developments in Indian taxation law. The chapters may be read independently or as part of a broader study of the relationship between taxation, constitutional governance, economic policy, digital administration, and taxpayer rights.

Readers who are new to taxation law may begin with the chapters dealing with the constitutional foundations of taxation, the structure of income tax law, and the Goods and Services Tax framework. Readers interested in indirect taxation may focus on GST, dual GST, GST Council federalism, GST 2.0 reforms, MSME compliance, digital taxation, reverse charge mechanism, export of digital services, customs duties, and border carbon taxation. Readers interested in direct taxation may refer to chapters on income tax administration, advance tax, angel tax, virtual digital assets, intellectual property rights, ancestral property, and investigatory powers under income tax law.

Each chapter contains an abstract, keywords, substantive discussion, conclusion, and references. The abstract provides a quick overview of the chapter’s scope and argument. The keywords identify the principal themes covered. The references may be used for further research and academic writing.

Academic Leadership

About the Editors

Prof. (Dr.) V.J. Praneshwaran

Director, School of Legal Studies, CMR University

Prof. (Dr.) V.J. Praneshwaran graduated in Law and completed LL.M. in Constitutional Law, M.Phil. in Law, and Ph.D. from Bangalore University. With experience in legal practice, client counselling, and teaching, his academic and professional experience spans over 23 years. His doctoral research examined laws relating to armed forces and the protection of human rights in India. He contributes to legal literacy, legal education, and legal awareness initiatives and serves as a patron in Legal Aid Trust, a registered NGO.

Dr. Seema Surendran

Professor, School of Legal Studies, CMR University

Dr. Seema Surendran has over 25 years of teaching experience. She specialises in International Law, Environmental Law, Corporate Law, Intellectual Property Law, and Criminal Law. She has served in various academic roles across institutions including KLE Society’s Law College, Amity Law School, Vivekananda Institute of Professional Studies, Sri Kengal Hanumanthaiah Law College, and BMS College of Law. She is presently Professor at CMR School of Legal Studies, CMR University, Bangalore.

Ms. Nirmala R. Harish

Assistant Professor, CMR School of Legal Studies

Ms. Nirmala R. Harish graduated in Bachelor of Business Management from Mount Carmel College and LL.B. from CMR University School of Legal Studies in 2020, securing a gold medal. She completed LL.M. in Constitutional Law from CMR University School of Legal Studies. With over four years of experience as an Assistant Professor, her areas of interest include Criminal Law and Constitutional Law. She has cleared UGC-NET and holds certifications in Child Rights, Data Privacy, and Human Rights.

Acknowledgement

Editorial Acknowledgement

The editors express their sincere gratitude to all the contributors whose research papers form the foundation of this edited volume, Beyond the Audit: A Legal Framework of Taxation. Their engagement with contemporary issues in taxation law has made this collection academically meaningful and relevant.

The editors are grateful to CMR University School of Legal Studies for encouraging legal research and academic writing among students. The institutional support and scholarly environment provided by the University have contributed significantly to the preparation of this volume.

Sincere thanks are due to Jupiter Publications Consortium India for their support in publishing this volume and for assisting in its production. The editors also thank the technical and publishing team for their contribution to layout, design, and final preparation.

Chapter List

Contents

  1. 01Assessment and Collection of Customs Duty in India: Legal Framework and Administrative Challengesp. 1
  2. 02Rethinking Agricultural Income Exemption in India: Judicial Interpretation and Emerging Tax Policy Challengesp. 13
  3. 03A Comparative Analysis of the Income Tax Act, 1961 and the Income Tax Act, 2025p. 27
  4. 04Set-Off and Carry Forward of Losses under the Income Tax Regimes of Germany and the United Kingdomp. 46
  5. 05One Nation, One Tax: Myth or Reality? A Critical Study of the Goods and Services Tax in Indiap. 62
  6. 06Digitalisation of Income Tax Administration in India: Legal, Technological, and Practical Perspectivesp. 73
  7. 07An Analysis of the Dual GST Structure and Its Impact on Tax Administrationp. 90
  8. 08Taxation under the Indian Constitution: Legislative Structure and Judicial Influence in Income Tax Lawp. 102
  9. 09Impact of India’s VDA Tax Policy on Cross-Border Crypto Capital Flowsp. 119
  10. 10An Analysis on the 122nd Constitutional Amendment and Its Impact on Centre-State Powers in GSTp. 126
  11. 11Tax Compliance and Technology: Role of Artificial Intelligence in Indian Tax Systemp. 134
  12. 12A Constitutional Conundrum: A Comparative Analysis of the Right to Privacy and Investigatory Overreach under the Income Tax Acts of 1961 and 2025p. 144
  13. 13Taxation of Ancestral Property in India: Legal Framework and Income Tax Implicationsp. 160
  14. 14A Critical Analysis of Cross-Border Tax Disputes under Double Taxation Avoidance Agreementsp. 170
  15. 15High Customs Duties and Smuggling in India: Enforcement Failure or Policy Miscalculation?p. 187
  16. 16GST 2.0 Reforms and Ease of Doing Businessp. 196
  17. 17Taxation of Intellectual Property Rights in India: A Legal and Judicial Analysisp. 210
  18. 18A Comprehensive Analysis on Abolition of Angel Tax in Indiap. 221
  19. 19Understanding the Reverse Charge Mechanism in India: A Legal and Practical Analysis under GSTp. 237
  20. 20Reconciling Border Carbon Taxes with India’s GST Framework for a Green Transitionp. 249
  21. 21Export of Digital Services under GST: Place of Supply Rules and the Limits of Consumption-Based Taxationp. 267
  22. 22Pay as You Earn Pitfalls: Advance Tax Estimation Errors and SME Liquidity Crunch in Indiap. 278
  23. 23GST and the Principle of Equity: Compliance Burden on MSMEs in the Era of Digital Taxationp. 286
  24. 24Customs Enforcement and Trade Regulation: A Critical Appraisal of Prohibited and Restricted Goodsp. 299

Research Contributions

Chapter Abstracts and Keywords

Each chapter entry below includes the chapter title, contributor name, starting page, full abstract, and keywords.

Chapter 01 · Page 1
Assessment and Collection of Customs Duty in India: Legal Framework and Administrative Challenges
Aditi Singh

Abstract

Customs duty constitutes an essential component of India’s fiscal and regulatory framework governing international trade. Apart from serving as a significant source of governmental revenue, customs duties perform a broader economic function by regulating imports and exports, protecting domestic industries, and ensuring compliance with international trade commitments. The legal regime governing customs duties in India is primarily contained in the Customs Act, 1962 and the Customs Tariff Act, 1975, supplemented by rules, notifications, circulars issued by administrative authorities, and interpretations provided by judicial bodies. Over the past decade, India has undertaken substantial reforms in customs administration aimed at enhancing trade facilitation and improving the efficiency of duty assessment and collection. Mechanisms such as selfassessment, electronic filing of bills of entry, risk management systems, and faceless assessment have transformed the functioning of customs authorities and significantly reduced procedural delays. At the same time, the customs administration continues to encounter complex challenges, particularly in matters concerning valuation disputes, classification of goods under the Harmonised System of Nomenclature (HSN), procedural inconsistencies across ports, and the exercise of discretionary powers by customs officers. Judicial interpretation has played a crucial role in shaping the contours of customs law by clarifying statutory provisions relating to valuation, classification, reassessment, and refund of duties. Courts have frequently intervened to ensure procedural fairness and to prevent arbitrary exercise of administrative authority. Despite ongoing reforms, issues relating to administrative efficiency, legal certainty, and consistency in application of customs law remain significant concerns. This paper undertakes a doctrinal and analytical examination of the statutory framework governing the assessment and collection of customs duty in India. It analyses the legislative provisions, administrative mechanisms, and judicial decisions that structure the customs regime. The study further identifies key administrative challenges faced by customs authorities and suggests measures to enhance transparency, efficiency, and uniformity in the implementation of customs law.

Keywords

Customs DutyAssessmentCustoms AdministrationValuation of GoodsTrade FacilitationCBICInternational Trade Regulation

Chapter 02 · Page 13
Rethinking Agricultural Income Exemption in India: Judicial Interpretation and Emerging Tax Policy Challenges
Afeefa Fathima

Abstract

On the basis of federal principles, the exemption of agricultural revenue from Union taxation has been an exceptional feature of the Indian fiscal and constitutional framework. The exemption was originally conceived as a measure of protection of the interests of the farming community, as well as the maintenance of fiscal autonomy of the states, though the economic situation has given rise to an important question of the continued validity of the exemption. The legal analysis of the provision has become necessary with the rise of the commercialisation of agriculture, the growth of agribusiness enterprises, as well as the misuse of the exemption of agricultural revenue as a means of tax evasion. The current essay is a critical analysis of whether the current legal and constitutional framework is successful in maintaining a balance between the original rationale of the provision and the modern concept of equality, revenue protection, and the concept of justice in taxation, with particular emphasis on Section 2(1A) of the Income Tax Act of 1961, constitutional provisions, and the attendant mechanisms of partial integration. In addition to this, new issues such as abuse, administrative constraints, and enforcement are addressed by the paper. The paper also explores significant legal interpretations that are essential to the understanding of agricultural revenue, particularly with regards to cultivation, association with land, and agricultural enterprise structure. The paper identifies doctrinal uncertainties and policy issues with regards to preventing abuse while ensuring that legitimate agricultural activity is protected, as well as bringing it in conformity with economic realities.

Keywords

Agricultural incomeTax exemptionJudicial interpretationIncome-tax Act1961Tax policy challenges.

Chapter 03 · Page 27
A Comparative Analysis of the Income Tax Act, 1961 and the Income Tax Act, 2025
Aishwarya Rajeev

Abstract

The Income Tax Act, 1961 is the foundation of India’s direct tax system. Over time, it evolved through continuous amendments and judicial interpretation, and eventually became lengthy, complex, and difficult to navigate. The expansion of provisions relating to transfer pricing, presumptive taxation, and dispute resolution led to interpretational challenges and increased litigation. To address this, the Government introduced the Income Tax Act, 2025 to simplify and restructure the framework while maintaining continuity. This paper compares the Income Tax Act, 1961 and the Income Tax Act, 2025, examining structural, substantive, and procedural changes across various heads of income. It focuses on the reorganisation of the statute, reduction of provisions, and the shift of concepts, along with key reforms relating to residential status, significant economic presence, salary, house property, business income, capital gains, presumptive taxation, and loss set-off, as well as international taxation and transfer pricing. The study also compares procedural and administrative changes, including reassessment timelines, the expanded scope of “information,” dispute resolution, and increased reliance on digital systems such as search and seizure and electronic record-keeping. It finds that while the 2025 Act improves clarity, reduces redundancy, and enhances accessibility, it largely retains the substantive framework of the 1961 Act.

Keywords

Income Tax Act1961Income Tax Act2025tax law reformtax yearpresumptive taxationcapital gainsreassessmenttransfer pricing.

Chapter 04 · Page 46
Set-Off and Carry Forward of Losses under the Income Tax Regimes of Germany and the United Kingdom
Anamitra G Nambiar

Abstract

The principles controlling the set-off and carry-forward of losses are critical components of current income tax systems, which seek to tax net economic capability rather than total receipts. Both Germany and the United Kingdom have established systems for correcting business and capital losses, although their approaches range in scope and flexibility. Losses can be offset horizontally across income categories and vertically across assessment periods under the German income tax scheme using loss carry-back and carry-forward provisions. Germany allows a modest loss carry-back and a broad carry-forward mechanism, subject to quantitative restrictions, representing a compromise between taxpayer relief and revenue protection. In contrast, the United Kingdom takes a more flexible approach, notably for trading losses, allowing set-off against overall income, profits from the same trade, and, in some situations, collective relief. The UK similarly enables indefinite carry forward of losses, albeit post-reform regulations limit the amount of loss utilisation in a particular year. While both jurisdictions emphasize fiscal neutrality and economic continuity, Germany prioritizes anti-abuse safeguards, whereas the UK prioritizes flexibility and business continuity. A comparative research demonstrates how different tax policy objectives shape the design of loss relief measures, influencing compliance behavior and investment decisions in each jurisdiction.

Keywords

Set-off of lossesCarry forward of lossesIncome taxGermanyUnited KingdomComparative tax lawLoss relief.

Chapter 05 · Page 62
One Nation, One Tax: Myth or Reality? A Critical Study of the Goods and Services Tax in India
Anushka Acharya

Abstract

The Goods and Services Tax (GST), introduced in India with the One Hundred and First Constitutional Amendment Act in 2016, was meant to be a big change in how indirect taxes are collected. Its goal was to have a single tax system across the country, which is called “One Nation, One Tax.” By combining many different taxes that were collected by both the central and state governments, GST aimed to make the tax system uniform, stop the extra tax charges that happen when taxes are added on top of each other, and help the economy work better as a whole. The reform also aimed to promote cooperative federalism by having both the central government and the states share responsibility for managing finances together. However, despite its unifying objective, the practical functioning of GST presents several challenges. The presence of several tax rates, complicated rules for following laws, regular changes in tax rates, and having two separate systems for managing taxes have led to worries about how much real consistency there actually is in the system. Moreover, the disputes between the Centre and the States regarding revenue autonomy and decision-making within the GST Council have raised concerns about the effectiveness of consensus-based governance. This paper looks closely at whether the GST in India has actually made the idea of a single national tax a real thing or if it is still just a goal that has not been achieved. The study looks at the legal setup, the way the system is organized, and how courts have handled things to check what has been done well and what is still missing with the GST, and it gives ideas on changes needed to make a real, unified system for indirect taxes.

Keywords

Goods and Services TaxOne Nation One TaxCooperative FederalismGST CouncilIndirect Tax ReformConstitutional AmendmentFiscal Federalism.

Chapter 06 · Page 73
Digitalisation of Income Tax Administration in India: Legal, Technological, and Practical Perspectives
Chetna Pal

Abstract

Digitalisation has significantly transformed the income tax administration system in India by introducing electronic filing of returns and an automated refund mechanism. The objective of this study is to examine how e-filing and digital refund processes have improved efficiency, transparency, and taxpayer convenience. The research explains the evolution of e-filing of income tax returns, the use of online portals, and the role of Aadhaar and PAN in ensuring secure and accurate filing. It also analyses the refund mechanism, including processing through the Centralised Processing Centre (CPC), timelines for refunds, and modes of refund such as direct bank transfer. The research highlights the benefits of digitalisation, such as reduction in paperwork, faster processing of returns, and minimisation of human interference. At the same time, it discusses practical challenges faced by taxpayers, including technical errors, portal glitches, mismatch of data, and delays in refunds. Relevant legal provisions and administrative guidelines are referred to for better understanding of the system. The research concludes that digitalisation of income tax administration has strengthened tax governance and voluntary compliance, but continuous technological upgrades, taxpayer awareness, and grievance redressal mechanisms are necessary to make the system more inclusive and effective.

Keywords

DigitalisationE-filing of income tax returnsIncome tax refundsCPCTax administrationPAN and Aadhaar.

Chapter 07 · Page 90
An Analysis of the Dual GST Structure and Its Impact on Tax Administration
Deekshith V Reddy

Abstract

The introduction of the Goods and Services Tax (GST) in India brought a major change to the country’s indirect tax system by introducing a dual GST structure. Under this system, both the Central and State governments have the power to levy and collect tax at the same time through Central GST (CGST) and State GST (SGST). This paper examines the dual GST framework and studies its impact on tax administration in India. It focuses on how the sharing of taxing powers between the Centre and the States has affected administrative efficiency, coordination between governments, taxpayer compliance, and revenue collection. The dual GST system helps protect fiscal federalism by allowing States to maintain their taxing authority. However, it has also created certain administrative difficulties. These include overlapping jurisdiction of tax authorities, higher compliance requirements for taxpayers, and challenges in sharing information between the Centre and the States. The paper also analyses the role of institutions such as the GST Council and the common GST Network (GSTN) in reducing these problems and improving coordination. Overall, the study finds that although the dual GST structure has faced initial and operational challenges, it has promoted cooperative federalism and contributed to the modernization and transparency of tax administration in India.

Keywords

Dual GSTTax AdministrationCGST and SGSTFiscal FederalismGST CouncilCooperative FederalismIndirect Tax Reform.

Chapter 08 · Page 102
Taxation under the Indian Constitution: Legislative Structure and Judicial Influence in Income Tax Law
Gaana N

Abstract

Income taxation in India rests on a carefully designed constitutional and legislative structure that seeks to balance the State’s need to raise revenue with fundamental principles of legality, equality and fairness. Anchored in Articles 14, 246 and 265 of the Constitution of India, this framework defines the scope of taxing power, distributes legislative competence between the Union and the States and reinforces the basic rule that no tax can be imposed without clear authority of law. Yet, despite this seemingly stable constitutional foundation, income tax law in India has been marked by persistent disputes, interpretative uncertainty and a high volume of litigation. This paper traces the historical development of income taxation leading up to the enactment of the Incometax Act, 1961 and explores the trajectory of legislative reform through successive Finance Acts. The paper examines the dual tax regime under Section 115BAC and how courts have influenced income tax policy in practice. By analysing judicial decisions on issues such as the interpretation of exemption provisions and the distinction between taxes and fees, it highlights how inconsistent judicial outcomes and expansive appellate intervention have contributed to doctrinal uncertainty. This uncertainty, in turn, affects both taxpayers and revenue authorities by weakening predictability and increasing avoidable litigation. The paper concludes by arguing that a principled, restrained and coherent approach to judicial review—aligned with constitutional mandates and informed by comparative best practices—is essential to strengthen tax certainty, administrative efficiency and fairness within India’s income tax regime.

Keywords

Fiscal federalismRule of law in taxationJudicial review of tax lawsLegislative designTax litigation.

Chapter 09 · Page 119
Impact of India’s VDA Tax Policy on Cross-Border Crypto Capital Flows
Ganavi M C

Abstract

The introduction of the Virtual Digital Asset (VDA) tax regime through the Finance Act, 2022 marked a significant shift in India’s approach toward cryptocurrency regulation. Under this framework, income arising from the transfer of cryptocurrencies and other digital assets is taxed at a flat rate of 30%, without allowing deductions for expenses or set-off of losses. Additionally, a 1% Tax Deducted at Source (TDS) is imposed on transactions exceeding the prescribed threshold to enhance transparency and ensure reporting of crypto transactions within the formal tax system. While the policy was introduced with the objective of strengthening tax compliance and bringing digital assets under regulatory oversight, its implementation has generated considerable debate. Industry observations indicate a decline in trading volumes on Indian exchanges following the introduction of the 30% tax and 1% TDS. At the same time, there are concerns that investors are increasingly shifting to offshore platforms that offer comparatively lower tax burdens and more flexible compliance environments. Such trends raise important questions about cross-border crypto capital flows, potential revenue leakage, and the long-term implications for India’s digital asset ecosystem. This paper focuses on critically analysing whether India’s current VDA tax regime has unintentionally accelerated cross-border capital migration. It examines structural issues such as the high flat tax rate, denial of loss set-off, and the transaction-based 1% TDS, which may collectively increase compliance burdens and discourage domestic participation. The paper evaluates whether the existing framework strikes an appropriate balance between regulation and growth, or whether it risks undermining India’s competitiveness in the global digital asset market.

Keywords

Virtual Digital Assets (VDA)Cryptocurrency TaxationCrossBorder Capital FlowsCapital MigrationTax Deducted at Source (TDS)Digital Economy Regulation.

Chapter 10 · Page 126
An Analysis on the 122nd Constitutional Amendment and Its Impact on Centre-State Powers in GST
Hima Bindu S.K

Abstract

The 122nd Constitutional Amendment Bill of 2014 made it possible to bring in Goods and Services Tax, herein referred to as GST, which is a form of taxation imposed on the supply of goods and services. In 2016, the proposed bill ultimately resulted in the enactment of the 101st Constitutional Amendment Act. Under the GST system, taxation powers are exercised jointly by the Central and State Governments. The main objective of introducing the GST was to improve relations between the Centre and States. Prior to the implementation of the GST, the existing taxation system led to numerous issues. After it was introduced, India had a single taxation system. The GST brings several benefits, such as simplifying the tax framework, establishing a nationwide market, and fostering economic unity. However, there are also some drawbacks, such as the States having control over sales tax and entry tax compared to the Central Government. This paper looks at the legal aspects of the 122nd Constitutional Amendment. It also addresses the challenges and examines the impact of the GST on the power distribution between central and state governments. The paper offers recommendations for enhancing the effectiveness of the GST over time.

Keywords

GSTTax regimeCentre-state powers122nd Constitutional AmendmentCooperative Federalism.

Chapter 11 · Page 134
Tax Compliance and Technology: Role of Artificial Intelligence in Indian Tax System
Jyoti S.T

Abstract

The increasing use of technology in tax administration has fundamentally altered the landscape of tax compliance in India. Artificial Intelligence (AI) has become a crucial instrument in strengthening transparency, efficiency, and accountability within the Indian tax system. This paper examines the application of AI in tax administration, focusing on faceless assessment, e-filing systems, and AI-based tax scrutiny. Faceless assessment mechanisms have reduced human interaction and discretionary powers, thereby promoting fairness and minimizing corruption. The expansion of e-filing systems has streamlined compliance procedures and improved taxpayer accessibility. Additionally, AI-driven data analytics enable tax authorities to identify high-risk cases, detect tax evasion, and enhance enforcement efficiency. However, the growing reliance on AI raises concerns relating to data privacy, algorithmic bias, and excessive state surveillance. This study critically analyses the benefits and risks associated with AI-enabled tax governance and examines the evolving framework of digital taxation in India. The paper concludes by assessing the future of AI-driven tax compliance, emphasizing the need for a balanced approach that ensures effective tax administration while protecting taxpayer rights.

Keywords

Artificial intelligenceTaxE-filingTaxpayersFaceless assessment.

Chapter 12 · Page 144
A Constitutional Conundrum: A Comparative Analysis of the Right to Privacy and Investigatory Overreach under the Income Tax Acts of 1961 and 2025
Kailesh Kumar S

Abstract

The transition from the legacy Income Tax Act, 1961 to the newly enacted Income Tax Act, 2025 marks a paradigm shift in India’s fiscal administration, precipitating intense debate over state search and seizure powers. This paper offers a critical comparative analysis of the investigatory mechanisms under both statutes, evaluated specifically through the intersections of Indian Constitutional Law and Human Rights Law. While the 1961 Act relied heavily on traditional physical searches— often scrutinized for administrative overreach and procedural lapses— the 2025 Act introduces sweeping provisions granting tax authorities unprecedented, coercive access to the “Virtual Digital Space.” This modernization, intended to combat sophisticated digital tax evasion, triggers a profound controversy regarding the fundamental right to privacy protected under Article 21 of the Constitution. Applying the principles of the interpretation of statutes, this research interrogates how the legislative shift from tangible asset seizure to digital data extraction—including mandatory password overrides and cloud decryption—recalibrates the balance of power between sovereign tax authorities and individual liberties. The study tests these newly expanded administrative discretions against the doctrine of proportionality established in the landmark Puttaswamy judgment. Ultimately, the paper argues that while the 1961 regime struggled with archaic procedural flaws, the 2025 Act’s failure to codify stringent dataminimization and judicial pre-authorization protocols risks institutionalizing disproportionate state surveillance. The research concludes by proposing vital statutory safeguards to ensure that the modernization of tax compliance does not systematically erode the foundational human rights of the taxpayer.

Keywords

Income Tax Act 2025Income Tax Act 1961Right to PrivacyArticle 21Administrative LawStatutory InterpretationHuman RightsSearch and Seizure.

Chapter 13 · Page 160
Taxation of Ancestral Property in India: Legal Framework and Income Tax Implications
Muskaan Rizwanulla

Abstract

The taxation of ancestral property in India represents a significant convergence of personal inheritance laws and statutory tax provisions. Under Hindu law, particularly the Mitakshara system, ancestral property is held within a Hindu Undivided Family (HUF), where coparceners acquire rights by birth. The Income Tax Act, 1961 recognizes the HUF as a distinct taxable entity, thereby creating specific implications for income derived from such property, including rental income, business profits, and capital gains. This paper examines the legal framework governing ancestral property, focusing on the Hindu Succession Act, 1956 and relevant judicial interpretations that define coparcenary rights and partition. It further analyzes the tax treatment of ancestral property, including issues related to total and partial partition, assessment of income, and classification disputes. The study also highlights practical challenges in tax planning and compliance, emphasizing the need for coherence between traditional property laws and modern taxation systems.

Keywords

Ancestral PropertyHindu Undivided Family (HUF)Income Tax ActCoparcenaryPartitionCapital GainsTaxation LawHindu Succession Act.

Chapter 14 · Page 170
A Critical Analysis of Cross-Border Tax Disputes under Double Taxation Avoidance Agreements
Nandini K. T

Abstract

The rapid expansion of global trade and cross-border investment has made double taxation a persistent challenge for businesses and individuals operating internationally. When the same income is taxed in more than one jurisdiction, it creates uncertainty, increases costs, and discourages investment. Double Taxation Avoidance Agreements (DTAAs) were developed to address this issue by clearly allocating taxing rights between source and residence countries, thereby reducing fiscal conflicts and promoting economic cooperation. This paper examines the conceptual foundations and structural framework of DTAAs, with particular focus on key provisions relating to Permanent Establishment (PE), capital gains taxation, and dispute resolution. It gives special attention to the landmark decision in Vodafone International Holdings BV v. Union of India, which significantly influenced India’s approach to indirect transfer taxation and treaty interpretation. The case highlighted the delicate balance between a state’s right to prevent tax avoidance and its obligation to honor treaty commitments, especially in the context of treaty shopping and cross-border tax planning. The study also traces the evolution of international tax norms through the Model Convention developed by the Organisation for Economic Cooperation and Development (OECD), building upon earlier efforts of the League of Nations, and examines how these frameworks have shaped India’s growing DTAA network, including its treaty with France. Ultimately, the paper argues that sustainable treaty design must carefully balance revenue protection with investment certainty, ensuring fairness, clarity, and predictability in cross-border taxation.

Keywords

Cross-Border TaxationPermanent EstablishmentTreaty ShoppingTax SovereigntyForeign Direct Investment (FDI).

Chapter 15 · Page 187
High Customs Duties and Smuggling in India: Enforcement Failure or Policy Miscalculation?
Ponnacca D

Abstract

Customs duty is extremely important for the Indian economy, trade, government finance, and domestic industry. It propels the economy and helps keep domestic businesses protected. Despite strict legislative enforcement mechanisms against smuggling, smuggled goods continue to remain a major problem. This paper examines whether high customs duties in India make import and export trade economically expensive and thereby incentivize illegal trade. It studies the legal structure governing border trade, goods, and customs duties in India under the Customs Act, 1962 and the Customs Tariff Act, 1975. It also analyses the enforcement role of customs authorities and the Central Board of Indirect Taxes and Customs. Despite raids and seizures, smuggling continues. Economic factors such as price differences between domestic and foreign markets, high profit margins, tax avoidance, and high customs duties on goods like gold, electronics, and luxury items continue to create incentives for smuggling. Finally, the study examines whether rationalisation of customs duties, together with improved technological enforcement, may be a more effective long-term solution than merely strengthening border controls.

Keywords

Customs dutySmugglingTax evasionCustoms lawTrade regulationEnforcement mechanismDuty rationalisation.

Chapter 16 · Page 196
GST 2.0 Reforms and Ease of Doing Business
Preksha Kaushal

Abstract

This paper discusses how the recent GST changes, namely digital automation, slab rationalization, and simplifying compliance, have affected the competitiveness and ease of doing business in India for companies. Though GST was introduced in 2017 with the objective of indirect tax simplification, challenges such as complicated compliance processes, varied tax rates, and time delays in receiving Input Tax Credit (ITC) continued to affect businesses, particularly MSMEs. Survey data of 170 Maharashtra enterprises and expert opinions are used to evaluate the impact of these policies on the efficiency of companies. The findings reveal that the three variables positively affect competitiveness and ease of doing business. The strongest of these is digital automation, with r = 0.70, which implies that technology-based methods of compliance significantly reduce administrative burdens. The results also reveal that compliance time is reduced significantly, along with better management of working capital through faster refunds and automatic ITC verification. The findings of the study show that GST rationalization may promote transparency, compliance cost reduction, and competitiveness of Indian businesses, particularly MSMEs.

Keywords

GST 2.0ease of doing businessdigital automationslab rationalizationcompliance simplificationMSMEs.

Chapter 17 · Page 210
Taxation of Intellectual Property Rights in India: A Legal and Judicial Analysis
Sai Indira G

Abstract

Intellectual Property Rights have gained significant economic value in India and are producing income through licensing, assignment, and other forms of economic exploitation. This paper discusses taxation on income earned from Intellectual Property Rights under the Indian legal framework, mainly governed by the Income-tax Act, 1961. The paper studies the tax treatment of intellectual property in India, especially in cases where income is generated from Intellectual Property Rights. It discusses the meaning of royalty as defined in Section 9(1)(vi) of the Income-tax Act, 1961, as this provision forms the basis for taxing income earned from intellectual properties. It also discusses the tax implications of intangible assets by analysing depreciation under Section 32(1)(ii), as well as expenses related to procuring patents, copyrights, and know-how under Sections 35A and 35AB. The paper further examines the tax implications of income generated from Intellectual Property Rights under Sections 80QQA, 80QQB, 80RRB, and the erstwhile Section 80-O, as well as the tax incentives on income generated from patent rights under Section 115BBF. Finally, the paper briefly examines the tax treatment of intellectual properties under the Central Goods and Services Tax Act, 2017, especially the crucial difference between licensing and assigning an intellectual property right.

Keywords

Intellectual Property RightsRoyaltyIncome-tax Act1961Capital and Revenue ExpenditureGST and IPR.

Chapter 18 · Page 221
A Comprehensive Analysis on Abolition of Angel Tax in India
Shreyash N

Abstract

The decision to abolish the angel tax in the Union Budget 2024–25 marks a significant turning point in India’s approach to startup taxation. Introduced in 2012 under Section 56(2)(viib) of the Income-tax Act, 1961, the provision was originally designed to curb money laundering by taxing the excess share premium received by unlisted companies over their fair market value. Although well-intentioned, the measure gradually became a source of anxiety and uncertainty for startups seeking early-stage funding. What was meant to prevent misuse of shell companies increasingly came to be viewed as a barrier to genuine capital formation. The expansion of the provision to cover non-resident investors in 2023 further deepened concerns about regulatory overreach, valuation disputes, and its potential chilling effect on foreign investment. This paper examines the evolution, implementation, and economic consequences of the angel tax regime, and evaluates the implications of its proposed removal under the Finance Bill, 2024. It also considers the unresolved questions surrounding pending proceedings and the broader regulatory landscape. While the abolition is likely to improve investor confidence and strengthen India’s startup ecosystem, it also raises legitimate concerns about financial transparency and the risk of misuse. The paper argues that eliminating the tax should not mean abandoning oversight. Instead, India must adopt a more balanced compliance framework—one that supports innovation and entrepreneurship while safeguarding against abuse. Ultimately, the reform reflects a larger policy challenge: aligning regulatory vigilance with the demands of a rapidly evolving innovation-driven economy.

Keywords

Startup RegulationCapital FormationShare PremiumAntiMoney Laundering.

Chapter 19 · Page 237
Understanding the Reverse Charge Mechanism in India: A Legal and Practical Analysis under GST
Surabhi Jain

Abstract

One of the most significant new ideas that the Goods and Services Tax (GST) has brought to India’s indirect tax system is the Reverse Charge Mechanism (RCM). Under RCM, taxes are paid by the recipient of goods or services rather than the supplier. In order to increase tax compliance, prevent tax leakage, and include unorganized industries in the tax system, this strategy was implemented. However, taxpayers now face a number of legal and administrative obstacles as a result of its actual implementation. The purpose of this study is to investigate both the actual operation of the Reverse Charge Mechanism under GST in India and its legal structure. The statutory provisions relating to RCM under the Central Goods and Services Tax Act, 2017, as well as relevant regulations and public notifications, are discussed in this article. It also explains the kinds of transactions that are covered by RCM, such as purchases of particular goods and services and supplies from unregistered individuals. The article places emphasis on the RCM compliance requirements, including the availability of input tax credit, tax payment, return filing, and registration. Additionally, the paper looks at real-world obstacles that businesses face, such as an increased compliance burden, cash-flow issues, unclear classification, and frequent notification changes. Judicial interpretations and departmental clarifications are also briefly examined in order to understand the practical application of RCM regulations. The paper concludes with recommendations for streamlining RCM provisions and improving compliance in order to maintain effective tax administration.

Keywords

Reverse Charge MechanismGoods and Services TaxIndirect Taxation in IndiaTax ComplianceInput Tax CreditGST Law and Practice.

Chapter 20 · Page 249
Reconciling Border Carbon Taxes with India’s GST Framework for a Green Transition
Suriyavel R

Abstract

India’s Goods and Services Tax reform has been widely celebrated as a milestone of fiscal unification, and rightly so. However, this paper argues that the same reform, in consolidating over seventeen levies into a single framework, quietly demolished something India now urgently needs: a constitutionally secure home for carbon pricing. As the European Union’s Carbon Border Adjustment Mechanism enters its definitive phase in January 2026, Indian steel and aluminium exporters face a projected 20–35% additional fiscal burden, not because India lacks environmental ambition, but because its post-GST institutional architecture cannot express that ambition in a form the world will recognize and credit. This paper diagnoses a tripartite “jurisdictional deadlock” within India’s dual GST framework, one that leaves Parliament, the States, and the GST Council each without a clean constitutional mandate to impose a sector-specific carbon tax. It then proposes an “E-GST” model: a Green Cess embedded within Article 279A’s cooperative federalism architecture, calibrated to the EU Emissions Trading System price, verified through the Bureau of Energy Efficiency, and distributed through a tripartite revenue formula designed to overcome the political economy obstacles that have defeated earlier environmental levies. The paper argues that this framework is simultaneously constitutionally valid, CBAM-compliant, WTO-compatible, and federally equitable, and that all three legislative steps required to operationalize it are achievable without a constitutional amendment, using institutional channels that cooperative federalism has already constructed.

Keywords

Carbon Border Adjustment MechanismGSTCarbon TaxationCooperative FederalismArticle 279AGreen EconomyWTO CompatibilityE-GST Framework.

Chapter 21 · Page 267
Export of Digital Services under GST: Place of Supply Rules and the Limits of Consumption-Based Taxation
Suvidha KS

Abstract

The concept of consumption-based taxation is the basis of Goods and Services Tax (GST) in India, which assumes that the event of taxation occurs in the area in which the consumption of goods and services occurs, whereas exports will have a nil rate. As a result of an increase in the cross-border supply of digital services such as software-as-a-service, cloud-based computing, and online platforms, the principal underlying assumption has been put into question based on the framework of GST legal jurisdiction. The purpose of this paper is to investigate how the Integrated Goods and Services Tax Act, 2017 applies to cross-border transactions involving the consumption of digital services when such digital services also meet the legal definition of export, by providing a jurisdictional and territorial reference point based on “place of supply” among items identified as “intermediary” of a supplier and seller to the end user. This is creating an improper tax liability where the service consumption occurs outside India. The research uses a doctrinal approach based on legislative provisions, administrative practice, judicial interpretation, and policy. It also identifies issues through empirical research related to these same issues and demonstrates that the application of GST principles does not meet the intended purpose of consumption-based taxation.

Keywords

Goods and Services TaxPlace of SupplyExport of ServicesDigital ServicesConsumption-Based Taxation.

Chapter 22 · Page 278
Pay as You Earn Pitfalls: Advance Tax Estimation Errors and SME Liquidity Crunch in India
Viruthagirishwaran R

Abstract

Sections 207–219 of the Income-tax Act, 1961 mandate quarterly advance tax payments where tax liability exceeds Rs. 10,000, with the objective of ensuring a steady flow of revenue to the State. This paper investigates how India’s “pay-as-you-earn” advance tax regime has contributed to estimation errors and liquidity stress for small and medium enterprises during the period 2018–2025. India’s advance income tax regime during 2018–2025 has affected both the timing of tax payments and the effectiveness of investments, particularly for businesses facing cash-flow constraints such as small and medium enterprises. During this period, advance tax became increasingly important in direct tax collection, even as tax deducted at source, self-assessment tax, and regular assessment tax played different roles in revenue mobilization. This paper examines recent developments in self-assessment and preassessment collection of direct tax in India. From 2018 to 2025, SMEs gradually faced stress under the tax regime. Income volatility after GST implementation, pandemic-induced shocks, and digital-compliance transitions made accurate income estimation difficult, leading to frequent underpayment and overpayment, exposure to interest under Sections 234B and 234C, and persistent cash-flow pressures. The Indian SME experience during 2018–2025 suggests that the current advance tax system treats the cash flow of businesses with variable income as a form of “liquidity tax.” This paper argues that advance tax regulations should be adjusted through safer harbours aligned with commercial reality, greater flexibility in payment deferral for smaller entities, and reforms that do not erode the investment and growth potential of the SME sector.

Keywords

Income-tax ActSMEsAdvance TaxDirect TaxIncome VolatilityGSTLiquidity Tax.

Chapter 23 · Page 286
GST and the Principle of Equity: Compliance Burden on MSMEs in the Era of Digital Taxation
Yogashree M

Abstract

The Goods and Services Tax (GST) was introduced in India with the objective of creating a fair and uniform indirect tax system based on established principles of taxation, particularly the principle of equity. Equity in taxation requires that taxpayers are treated fairly and that the tax burden is proportionate to their capacity to comply. However, the increasing reliance on digital compliance mechanisms under GST has raised serious concerns for Micro, Small and Medium Enterprises (MSMEs). This paper examines whether the present GST framework truly upholds the principle of equity in practice. It highlights how frequent procedural changes, mandatory e-invoicing, complex return filing requirements, and technological barriers have placed a disproportionate compliance burden on MSMEs when compared to large corporations. The study also analyses how penalties, interest provisions, and systemdriven defaults often impact small businesses more severely. By examining recent policy trends and practical challenges faced by MSMEs, the paper identifies key loopholes in GST implementation and suggests reforms to ensure that digital taxation does not undermine fairness and justice in the tax system.

Keywords

GSTPrinciple of EquityMSMEsDigital TaxationTax Compliance.

Chapter 24 · Page 299
Customs Enforcement and Trade Regulation: A Critical Appraisal of Prohibited and Restricted Goods
Darshan C P

Abstract

The Customs Act, 1962 is the initial law and legislative framework that regulates the importation and exportation of the goods within the territorial borders of India. At the heart of this framework are two categories of doctrinal goods of prohibition and restricted goods, the conceptual demarcation, regulatory treatment, and enforcement implications of which have far-reaching implications on trade law, constitutional rights, and international commerce. In this chapter, a detailed doctrinal examination of Sections 2(33), 11, 111, 112, 113, 114, 115, 122, 123, 124, 125 and 126 of the Customs Act, 1962 has been done. This chapter, by analysing some of the landmark judicial cases involving the Supreme Court, High Courts and the Customs, Excise and Service Tax Appellate Tribunal (CESTAT), helps clarify the changing judicial interpretation of prohibition and restriction, the constitutional aspects of custodial interference in trade, and the modern challenges of e-commerce, digital smuggling and AI-enhanced risk-based enforcement. The chapter ends with a critical assessment of the customs enforcement paradigm in India against the norms of World Trade Organization (WTO), Basel Convention, and the framework of international customs cooperation.

Keywords

Customs Act 1962Prohibited GoodsRestricted GoodsConfiscationSection 11Section 111Section 125SmugglingCESTATWTOTrade ProhibitionRisk-Based Enforcement.

Reference Support

Glossary

Advance Tax

A system under the Income-tax Act, 1961 requiring taxpayers to pay tax in instalments during the financial year when estimated tax liability exceeds the prescribed threshold.

Angel Tax

A tax formerly imposed under Section 56(2)(viib) of the Income-tax Act, 1961 on excess share premium received by certain closely held companies above fair market value.

Artificial Intelligence

Technology that enables machines or software systems to analyse data, identify patterns, and support automated decision-making, including in tax scrutiny and compliance systems.

Assessment

The process by which tax authorities determine taxable income, tax liability, deductions, exemptions, and the compliance position of a taxpayer.

Carbon Border Adjustment Mechanism

A fiscal mechanism used to impose carbon costs on imported goods based on embedded emissions, intended to prevent carbon leakage and equalise climate-related tax burdens.

Capital Gains

Profits arising from the transfer of a capital asset, including land, buildings, securities, or certain intangible assets, taxable under the Income-tax Act, 1961.

Central Goods and Services Tax

The component of GST levied by the Central Government on intra-State supplies of goods or services.

Compliance Burden

The administrative, financial, technological, and procedural effort required from taxpayers to comply with tax laws and reporting obligations.

Consumption-Based Taxation

A taxation principle under which tax is imposed at the place where goods or services are consumed rather than where they are produced.

Customs Duty

A tax levied on goods imported into or exported from India under customs law.

Digital Services

Services supplied through electronic or digital networks, including SaaS, cloud computing, online platforms, digital marketplaces, and remote technology services.

Double Taxation Avoidance Agreement

A treaty between two countries designed to prevent the same income from being taxed twice and to allocate taxing rights between jurisdictions.

Dual GST

The GST model followed in India under which both the Centre and the States levy GST simultaneously on the same taxable supply.

E-Filing

The electronic filing of tax returns, forms, declarations, and other statutory documents through an online tax portal.

E-Invoicing

A system under GST where specified taxpayers generate invoices electronically through a prescribed platform for real-time reporting and validation.

Export of Services

A supply of service where the supplier is located in India, the recipient is located outside India, the place of supply is outside India, payment is received in permitted foreign exchange or Indian rupees, and the supplier and recipient are not merely establishments of the same person.

Faceless Assessment

A digital tax assessment system that reduces direct interaction between taxpayers and tax officers by using electronic communication and centralised allocation of cases.

Fair Market Value

The value that an asset or share would ordinarily fetch in an open market transaction between willing parties.

Fiscal Federalism

The constitutional and financial arrangement governing distribution of taxing powers, revenue, and fiscal responsibilities between the Centre and the States.

Goods and Services Tax

A destination-based indirect tax levied on the supply of goods and services in India.

GST Council

The constitutional body established under Article 279A of the Constitution of India to make recommendations on GST rates, exemptions, procedures, and related matters.

Hindu Undivided Family

A distinct taxable entity under the Income-tax Act, 1961 consisting of persons lineally descended from a common ancestor and governed by Hindu law principles.

Input Tax Credit

Credit available to a registered taxpayer for GST paid on purchases, which may be used to offset GST payable on outward supplies.

Integrated Goods and Services Tax

The GST component levied on inter-State supplies, imports, and certain cross-border transactions.

Intellectual Property Rights

Legal rights over creations of the mind, including patents, copyrights, trademarks, designs, know-how, and other intangible assets.

MSME

Micro, Small and Medium Enterprise, classified in India on the basis of investment and turnover thresholds.

Reverse Charge Mechanism

A GST mechanism under which the recipient of goods or services is liable to pay tax instead of the supplier.

Virtual Digital Asset

A digital representation of value, including cryptocurrency and certain digital tokens, regulated for tax purposes under the Income-tax Act, 1961.

Zero-Rated Supply

A supply under GST on which output tax is not charged, while input tax credit or refund remains available, typically including exports and supplies to Special Economic Zones.

Reference Support

List of Abbreviations

  • AIArtificial Intelligence
  • AOAssessing Officer
  • AYAssessment Year
  • BEEBureau of Energy Efficiency
  • CBAMCarbon Border Adjustment Mechanism
  • CBDTCentral Board of Direct Taxes
  • CBICCentral Board of Indirect Taxes and Customs
  • CENVATCentral Value Added Tax
  • CGSTCentral Goods and Services Tax
  • CIICost Inflation Index
  • CPCCentralised Processing Centre
  • DCFDiscounted Cash Flow
  • DINDocument Identification Number
  • DPIITDepartment for Promotion of Industry and Internal Trade
  • DRIDirectorate of Revenue Intelligence
  • DTAADouble Taxation Avoidance Agreement
  • EVCElectronic Verification Code
  • FDIForeign Direct Investment
  • FMVFair Market Value
  • FYFinancial Year
  • GATTGeneral Agreement on Tariffs and Trade
  • GDPGross Domestic Product
  • GSTGoods and Services Tax
  • GSTNGoods and Services Tax Network
  • HUFHindu Undivided Family
  • IGSTIntegrated Goods and Services Tax
  • IPIntellectual Property
  • IPRIntellectual Property Rights
  • ITIncome Tax
  • ITCInput Tax Credit
  • ITRIncome Tax Return
  • LDCLower Deduction Certificate
  • LOBLimitation on Benefits
  • MAPMutual Agreement Procedure
  • MSMEMicro, Small and Medium Enterprise
  • NAVNet Asset Value
  • NRINon-Resident Indian
  • OECDOrganisation for Economic Co-operation and Development
  • OIDAROnline Information Database Access and Retrieval
  • PANPermanent Account Number
  • PEPermanent Establishment
  • RCMReverse Charge Mechanism
  • RBIReserve Bank of India
  • SaaSSoftware as a Service
  • SEZSpecial Economic Zone
  • SGSTState Goods and Services Tax
  • SMESmall and Medium Enterprise
  • TDSTax Deducted at Source
  • TIEATax Information Exchange Agreement
  • UCCUniform Civil Code
  • VATValue Added Tax
  • VCLTVienna Convention on the Law of Treaties
  • VDAVirtual Digital Asset
  • WTOWorld Trade Organization



]]>
https://jpc.in.net/product/beyond-the-audit-a-legal-framework-of-taxation/feed/ 0 25622
AI and Data Analytics in Business https://jpc.in.net/product/ai-and-data-analytics-in-business/ https://jpc.in.net/product/ai-and-data-analytics-in-business/#respond Tue, 12 May 2026 17:47:06 +0000 https://jpc.in.net/?post_type=product&p=25592 Title: AI and Data Analytics in Business
Book Type: Edited Book
Editors: S. Mohan Kumar, A. Shajin Nargunam, Hemalatha Arunachalam, and Duraisamy Balaganesh
Publisher: Jupiter Publications Consortium
Publisher Address: 22/102 Second Street, Virugambakkam, Chennai–600092, Tamil Nadu, India
E-ISBN: 978-93-86388-70-4
DOI: https://doi.org/10.47715/978-93-86388-70-4
Edition: First Edition
Published On: 12th May, 2026
Number of Pages: 312
Access Type: Full Open Access Volume
Publisher Website: https://www.jpc.in.net
Publisher Email: director@jpc.in.net
Phone: +91 97909 11374 | 99625 78190]]>

Open Access Edited Book • First Edition • 2026

AI and Data Analytics in Business

A scholarly edited volume on artificial intelligence, big data analytics, personalization,
digital retail, customer intelligence, recommender systems, predictive analytics,
mobile commerce, and responsible data-driven business transformation.

E-ISBN: 978-93-86388-70-4
Publisher: Jupiter Publications Consortium
Published: 12th May, 2026
Pages: 312

AI and Data Analytics in Business Book Cover

Product Description

AI and Data Analytics in Business is a scholarly edited book that examines the transformative role of artificial intelligence, big data analytics, business analytics, predictive modelling, customer intelligence, personalization, recommender systems, mobile commerce, and
digital experience design in contemporary business environments. The book focuses particularly on how analytics and personalization are reshaping digital retail, customer engagement, satisfaction, loyalty, and sustainable value creation.

This edited volume brings together conceptual, analytical, and practice-oriented perspectives on AI-driven business analytics, behavioural targeting, predictive customer retention, loyalty programs, recommender systems, cross-selling techniques, behavioural segmentation, re al-time engagement, customer-centric e-commerce design, co-creation, and ubiquitous mobile commerce experiences. It explains how organizations can convert large-scale customer data into meaningful insights and use those insights for faster decision-making, personalized service delivery, improved marketing performance, customer loyalty, and competitive advantage.

The book also addresses important ethical and managerial concerns associated with AI and analytics, including data privacy, algorithmic transparency, responsible personalization, customer autonomy, fairness, explainability, digital trust, and AI governance. By combining theoretical discussion with practical frameworks, metrics, tables, and figures, the book provides a useful academic and professional
reference for understanding the analytics-personalization nexus in modern business. This book is suitable for academics, researchers, students, digital marketers, business analysts, retail professionals, technology managers, customer experience leaders, policy-oriented readers, and practitioners interested in artificial intelligence, business analytics, digital retail, e-commerce, and data-driven customer engagement.

About the Book

AI and Data Analytics in Business examines the pivotal role of analytics and personalization in shaping consumer behaviour in digital retail. The volume highlights how the integration of artificial intelligence, big data, marketing analytics, customer intelligence, and
digital experience design enables e-commerce platforms to deliver hyper-personalized experiences, improve engagement, and strengthen customer loyalty.

The edited book brings together conceptual, empirical, and practice-oriented perspectives on recommendation systems, predictive analytics, behavioural segmentation, social influence, mobile commerce, and customer-centric design. It also addresses emerging challenges related to privacy, ethics, algorithmic trust, consumer autonomy, and the psychological implications of data-driven shopping environments. The volume is intended for academics, researchers, students, digital marketers, business analysts, retail professionals, technology managers, and policy-oriented readers who seek to understand how analytics and personalization jointly influence satisfaction, loyalty, and value creation in contemporary
digital retail.

Book Keywords

  • Artificial Intelligence
  • Data Analytics
  • Business Analytics
  • Big Data
  • Digital Retail
  • Predictive Analytics
  • Customer Retention
  • Recommender Systems
  • Behavioural Segmentation
  • Mobile Commerce
  • Customer-Centric Design
  • Personalization
  • E-Commerce
  • Customer Loyalty
  • AI Governance
  • Responsible Analytics

Publication Details

Title AI and Data Analytics in Business
Book Type Edited Book
Editors S. Mohan Kumar; A. Shajin Nargunam; Hemalatha Arunachalam; Duraisamy Balaganesh
Publisher Jupiter Publications Consortium
Publisher Address 22/102 Second Street, Virugambakkam, Chennai–600092, Tamil Nadu, India
Phone +91 97909 11374 | 99625 78190
Email director@jpc.in.net
Website https://www.jpc.in.net
E-ISBN 978-93-86388-70-4
Book DOI
https://doi.org/10.47715/978-93-86388-70-4
Edition First Edition
Published On 12th May, 2026
Number of Pages 312
Access Type Full Open Access Volume

Book and Chapter DOI URLs

Editors

Prof. (Dr.) S. Mohan Kumar

Professor & Dean

Indra Ganesan College of Engineering (Autonomous)

Affiliated to Anna University

Chennai, Tamil Nadu, India

Prof. Dr. A. Shajin Nargunam

Pro Vice-Chancellor (Acad.)

Noor Islam Centre for Higher Education (NICHE)

Deemed-to-be-University

Nagercoil, Tamil Nadu, India

Dr. Hemalatha Arunachalam

Accounting and Finance Officer

ZSC Enterprises

Atlanta, Georgia

United States of America

Dr. Duraisamy Balaganesh

Vice-Dean

Faculty of Computer Science and Informatics

Berlin School of Business and Innovation

Germany

Chapters Included in the Book

The edited book contains seven chapters covering AI-driven decision-making, big data analytics,
predictive retention, recommender systems, behavioural segmentation, customer-centric e-commerce
design, and mobile commerce.

Individual Chapter Abstracts and Keywords

AI-Driven Business Analytics and Its Role in Reducing Decision-Making Time for Strategic Leaders

Author: R. Sakthivel
Professor, Government Arts College, Tiruppur, Tamil Nadu, India

Abstract

Artificial intelligence is reshaping business analytics by reducing the time required to collect evidence, interpret complex signals, evaluate strategic alternatives, and convert insights into executive action. This chapter examines how AI-driven business analytics supports strategic leaders who must make timely decisions under uncertainty, competitive pressure, and information overload. It explains the technological foundations of AI analytics, including machine learning, predictive modeling, natural-language interfaces, simulation, optimization, and decision intelligence, while also assessing the organizational conditions that determine whether these technologies create reliable value.

The chapter argues that decision-time reduction is not achieved through automation alone. It depends on data quality, analytics architecture, leadership sponsorship, organizational readiness, AI literacy, human oversight, governance, explainability, and adoption routines. A sociotechnical perspective is used to connect AI capabilities with decision processes, human judgment, organizational culture, and ethical accountability. The chapter also presents practical formulas, evaluation metrics, implementation frameworks, tables, and figures that can guide organizations in measuring decision-cycle improvement and managing AI risks. It concludes that AI-driven analytics can accelerate strategic decisions when it is implemented as a governed decision system rather than as a standalone technology tool.

Keywords

Artificial intelligence
Business analytics
Strategic decision-making
Decision speed
Organizational readiness
AI governance

Big Data Analytics and Behavioural Targeting in Digital Retail

Author: G. Senthil Velan
Assistant Professor, Department of Computer Science and Engineering, Dr. M. G. R Educational and Research Institute,
Chennai, Tamil Nadu, India

Abstract

This chapter examines how big data analytics reshapes digital retail by converting large volumes of behavioural, transactional, contextual, and operational data into targeted decisions. Digital retailers now observe the customer journey through search queries, clicks, dwell time, baskets, payments, returns, loyalty records, service interactions, mobile location signals, and social responses. These signals do not
have value because they are numerous. They become commercially useful when they are governed, integrated, interpreted, and converted into timely interventions that improve customer relevance while protecting trust. The chapter explains the main data sources used in retail analytics, the architecture required to transform raw event streams into actionable insights, and the analytical methods behind segmentation, propensity modelling, recommender systems, dynamic offers, and customer lifetime value management. It also considers
the organisational and ethical conditions that determine whether behavioural targeting strengthens or damages customer relationships. Particular attention is given to privacy, consent, fairness, explainability, experimentation, measurement, and accountability. The chapter argues that behavioural targeting should be understood not as a narrow advertising technique but as a decision system operating across merchandising, marketing, pricing, service design, and fulfilment. Retailers that combine analytical sophistication with disciplined governance are better placed to deliver personalised experiences that are useful, measurable, and legitimate.

Keywords

Big data analytics
Behavioural targeting
Digital retail
Customer journey
Customer segmentation
Recommender systems
Data governance
Customer trust

Predictive Analytics for Customer Retention and Loyalty Programs

Authors: J. Jerlin Violet and H. Josiah

Abstract

Predictive analytics has become central to customer retention and loyalty program management because firms must identify which customers are likely to leave, which customers are likely to grow, and which interventions can preserve long-term relationship value. This chapter examines how predictive analytics transforms retention from a reactive activity into a proactive decision system. It discusses retention and loyalty concepts, customer data foundations, feature engineering, churn prediction, customer lifetime value modeling, predictive segmentation, personalized retention strategy, loyalty program design, business impact measurement, and responsible governance. The chapter emphasizes that retention analytics is not simply a technical modeling exercise; it is a managerial capability that connects data, models, customer experience, marketing action, and financial performance. Special attention is given to churn probability, lifetime value, reward propensity, next-best-action logic, experimentation, privacy, fairness, and explainability. A practical implementation roadmap is offered for organizations seeking to strengthen customer loyalty while protecting trust and avoiding excessive or inappropriate targeting.

Keywords

Predictive analytics
Customer retention
Churn prediction
Loyalty programs
Customer lifetime value
Personalization
Retention governance

Recommender Systems and Cross-Selling Techniques in Online Retail

Authors: H. Josiah and J. Jerlin Violet

Abstract

Online retail platforms depend on recommender systems to convert high-volume behavioral data into personalized product discovery, basket expansion, and cross-selling opportunities. This chapter examines the technical and managerial foundations of recommender systems in online retail, with special emphasis on collaborative filtering, content-based filtering, hybrid models, association rules, deep learning, graph learning, contextual personalization, and large language model supported recommendation. The discussion connects algorithmic design with business outcomes such as conversion, average order value, customer lifetime value, retention, and customer experience. It also explains how cross-selling differs from upselling and how both strategies can be operationalized through product affinity, basket analysis, sequential purchase prediction, and real-time ranking. The chapter further addresses evaluation metrics, experimentation, data governance, privacy, fairness, explainability, cold-start mitigation, and deployment architecture. By integrating formulas, tables, implementation considerations, and figure placeholders, the chapter provides a complete academic and practical framework for understanding how modern online retailers design, evaluate, and govern recommender systems that improve commercial performance while preserving customer trust.

Keywords

Recommender systems
Cross-selling
Online retail
Collaborative filtering
Personalization
Customer lifetime value

Behavioral Segmentation and Real-Time Engagement Strategies in Smart Retail

Author: Archana Kumari
Department of Information Technology, Indra Ganesan College of Engineering, Tiruchirappalli, Tamil Nadu–620012

Abstract

Smart retail has moved beyond static demographic targeting toward behavior-centric decision making in which retailers observe how customers browse, search, compare, purchase, return, and respond across digital and physical channels. This chapter examines how behavioral segmentation and real-time engagement strategies enable retailers to convert continuous customer signals into timely, context-aware actions that improve relevance, loyalty, and commercial performance.

It discusses the data foundation of smart retail, major segmentation methods, dynamic segment refresh, next-best-action orchestration, omnichannel engagement, experimentation, privacy-aware activation, and managerial implementation issues. Special attention is given to the integration of rule-based approaches, machine learning, feature stores, event streams, customer data platforms, and responsible governance practices. The chapter argues that effective smart retail is not simply about collecting more data; it is about transforming
behavioral evidence into trusted, explainable, and measurable interventions delivered at the right time through the right channel. A conceptual and practical roadmap is offered for retailers seeking to design scalable behavioral segmentation systems and real-time engagement programs that are simultaneously customer-centric, operationally feasible, and economically valuable.

Keywords

Behavioral segmentation
Smart retail
Real-time engagement
Omnichannel personalization
Customer data platform
Retail analytics

Customer-Centric Design in E-Commerce: From Personalization to Co-Creation

Author: G. Umadevi
Professor, Computer Science and Engineering, University of Engineering and Management, Jaipur, Rajasthan, India

Abstract

Customer-centric design in e-commerce has evolved from simple interface optimization and product display logic to sophisticated, data-enabled systems that personalize content, anticipate needs, orchestrate journeys, and invite customers to participate in value creation. This chapter examines the conceptual, analytical, technological, and managerial foundations of customer-centric design in e-commerce, tracing the movement from personalization to co-creation.

It explains how retailers and digital platforms use customer insight, experience design, segmentation, recommendation systems, generative artificial intelligence, journey analytics, and participatory mechanisms to deliver relevant, trustworthy, and inclusive experiences. The chapter also analyzes how co-creation extends the scope of design by incorporating customer feedback, customization choices, community interaction, and innovation input into digital commerce strategy.

In addition, the chapter discusses measurement frameworks, key performance indicators, ethical and privacy considerations, and implementation challenges in designing responsive and responsible e-commerce systems.  Eight figures, multiple tables, and practical formulas are used to illustrate the architecture, workflow, evaluation logic, and governance requirements of customer-centric e-commerce. The chapter concludes that the next stage of digital commerce depends on combining personalization efficiency with participatory design, transparency, and ongoing learning so that firms can create sustainable value for both businesses and customers.

Keywords

Customer-centric design
E-commerce
Personalization
Co-creation
Customer experience
Recommendation systems
Digital commerce
Journey analytics
Generative AI
Privacy

Mobile Commerce and the Optimization of Ubiquitous Customer Experiences

Author: D. Shanthi Revathi
Head & Associate Professor in Business Administration, SAS School of Arts and Science,
Paiyanoor, Chennai–603104, Tamil Nadu, India

Abstract

Mobile commerce has transformed retail from a channel-specific activity into a ubiquitous customer experience in which consumers discover, evaluate, purchase, pay, receive service, and remain loyal through mobile devices. This chapter examines how mobile commerce optimizes customer experience through context-aware design, mobile applications, wallets, location services, real-time analytics, artificial intelligence, and omnichannel integration.

It explains how mobile customer data, behavioral signals, payment infrastructure, app design, push notifications, and journey analytics combine to create experiences that are seamless, secure, personalized, and available at the moment of need. The chapter also discusses how retailers and digital platforms can reduce friction across onboarding, search, checkout, fulfillment, service, and loyalty stages. Special attention is given to mobile personalization, secure payment architecture, app engagement, privacy, fraud monitoring, and trust governance.

Tables, formulas, and high-resolution figures are used to connect theoretical concepts with managerial implementation. The chapter argues that mobile commerce success is not merely a function of screen size or app availability; it depends on the firm’s ability to integrate contextual intelligence, customer-centered design, operational reliability, and responsible data use into a continuous mobile experience system.

Keywords

Mobile commerce
Ubiquitous customer experience
Mobile personalization
App engagement
Mobile payments
Location-based services
Customer journey optimization
M-commerce analytics
Privacy
Trust

Contributors

Dr. R. Sakthivel

Professor, Government Arts College, Tiruppur, Tamil Nadu, India

Contributed Chapter: Chapter 1, “AI-Driven Business Analytics and Its Role in Reducing Decision-Making Time for Strategic Leaders”

Dr. G. Senthil Velan

Assistant Professor, Department of Computer Science and Engineering, Dr. M. G. R Educational and Research Institute, Chennai, Tamil Nadu, India

Contributed Chapter: Chapter 2, “Big Data Analytics and Behavioural Targeting in Digital Retail”

Dr. J. Jerlin Violet

Assistant Professor & Head, Department of Business Administration, St. Thomas College of Arts and Science, Koyambedu, Chennai

Email: drjerlinviolet@gmail.com

ORCID iD: 0009-0007-6462-1761

Contributed Chapters: Chapter 3, “Predictive Analytics for Customer Retention and Loyalty Programs”; Chapter 4, “Recommender Systems and Cross-Selling Techniques in Online Retail”

Dr. H. Josiah

Head of the Department, Department of Business Administration, T.J.S. College of Arts and Science, Peruvoyal, Near Red Hills, Chennai–601206

Email: hjosiah2000@gmail.com

ORCID iD: 0009-0007-6462-1761

Contributed Chapters: Chapter 3, “Predictive Analytics for Customer Retention and Loyalty Programs”; Chapter 4, “Recommender Systems and Cross-Selling Techniques in Online Retail”

Dr. Archana Kumari

Department of Information Technology, Indra Ganesan College of Engineering, Tiruchirappalli, Tamil Nadu–620012

Email: dr.archanakumari.p@gmail.com

Contributed Chapter: Chapter 5, “Behavioral Segmentation and Real-Time Engagement Strategies in Smart Retail”

Dr. G. Umadevi

Professor, Computer Science and Engineering, University of Engineering and Management, Jaipur, Rajasthan, India

Contributed Chapter: Chapter 6, “Customer-Centric Design in E-Commerce: From Personalization to Co-Creation”

Dr. D. Shanthi Revathi

Head & Associate Professor in Business Administration, SAS School of Arts and Science, Paiyanoor, Chennai–603104, Tamil Nadu, India

Contributed Chapter: Chapter 7, “Mobile Commerce and the Optimization of Ubiquitous Customer Experiences”

How to Use This Edited Book

AI and Data Analytics in Business has been designed as a structured academic and professional resource for understanding how analytics, artificial intelligence, personalization, and digital technologies are reshaping customer satisfaction and loyalty in digital retail. The chapters may be read sequentially as a complete progression from analytics foundations to customer experience design, mobile commerce, and responsible digital retailing. Readers may also consult individual chapters selectively according to their research, teaching, professional, or implementation needs.

The opening chapters establish the analytical foundation of the volume. Chapter 1 introduces AI-driven business analytics and explains how artificial intelligence supports faster and more informed strategic decision-making. Chapter 2 extends the discussion to big data analytics and behavioural targeting in digital retail, showing how large-scale customer data can be transformed into segmentation, targeting, and personalized engagement. Chapter 3 focuses on predictive analytics for customer retention and loyalty programs, emphasizing how firms can identify churn risk, design retention strategies, and strengthen long-term customer relationships.

The middle chapters examine personalization and customer engagement mechanisms in greater depth. Chapter 4 discusses recommender systems and cross-selling techniques in online retail, providing insight into collaborative filtering, content-based recommendation, hybrid systems, basket analysis, and recommendation evaluation. Chapter 5 addresses behavioural segmentation and real-time engagement strategies in smart retail, explaining how customer signals can be converted into next-best actions, omnichannel interventions, and timely customer engagement. Chapter 6 develops the theme of customer-centric design by tracing the movement from personalization to
co-creation in e-commerce.

Chapter 7 focuses on mobile commerce and the optimization of ubiquitous customer experiences. It explains how mobile applications, mobile payments, contextual intelligence, location-based services, push notifications, artificial intelligence, and omnichannel integration contribute to seamless and secure customer experiences. Together, these chapters provide a multi-dimensional understanding of how digital retailers can move from data collection to customer insight, from customer insight to personalization, and from personalization to loyalty and sustainable value creation.

For students and academic readers, this book can be used as a learning text for courses in e-commerce, digital marketing, retail analytics, business analytics, artificial intelligence in management, customer relationship management, and information systems. For researchers, the volume offers a consolidated view of current themes in analytics-enabled digital retail. For practitioners and managers, the book may be used as a strategic guide for designing data-driven retail initiatives.

For policy-oriented and ethics-focused readers, the volume also provides insight into the governance challenges of data-driven retail. Although the book emphasizes commercial innovation, it also recognizes that analytics and personalization must be implemented responsibly. Issues such as privacy, consent, fairness, transparency, algorithmic accountability, customer autonomy, and digital trust should be considered alongside business performance.

Open Access, Copyright and Responsibility Statements

Open Access Statement

This edited book is published as a full open access volume. Readers may freely read, download, copy, print, share, and cite the chapters for academic, teaching, research, and scholarly communication purposes, provided that proper attribution is given to the authors, editors, title of the book, publisher, and publication details.

No subscription fee, access fee, or paywall is required to access this book. Open access availability is intended to support wider academic dissemination, research visibility, teaching use, and knowledge sharing.

Copyright Notice

Copyright © 2026 by the editors, authors, and publisher. The copyright of individual chapters remains with the respective chapter authors, while the edited volume is published and distributed by Jupiter Publications Consortium.

Although this book is made available as a full open access publication, proper citation and acknowledgement are required for all academic and professional use. Reproduction, redistribution, translation, adaptation, or reuse of substantial parts of the work for commercial purposes should be carried out only with appropriate acknowledgement and, where required, with permission from the publisher or the respective copyright holder.

Author Responsibility Statement

The views, interpretations, findings, arguments, and conclusions expressed in the individual chapters are those of the respective authors and do not necessarily reflect the views of the editors or publisher. The authors are responsible for the originality, accuracy, citation integrity, permissions, ethical compliance, and scholarly quality of their respective chapters.

Disclaimer

The editors and publisher have taken reasonable care in the preparation and publication of this edited volume. However, they shall not be held responsible for errors, omissions, copyright issues, reference inaccuracies, data misinterpretation, or consequences arising from the use of the material contained in this book.

Suggested Product Tags

  • Artificial Intelligence
  • AI
  • Data Analytics
  • Business Analytics
  • Big Data Analytics
  • Digital Retail
  • E-Commerce
  • Mobile Commerce
  • Predictive Analytics
  • Customer Analytics
  • Customer Retention
  • Customer Loyalty
  • Loyalty Programs
  • Recommender Systems
  • Recommendation Engines
  • Cross-Selling
  • Behavioural Segmentation
  • Behavioral Segmentation
  • Real-Time Engagement
  • Smart Retail
  • Customer Experience
  • Customer-Centric Design
  • Personalization
  • Co-Creation
  • Digital Marketing
  • Marketing Analytics
  • Retail Analytics
  • Machine Learning
  • AI Governance
  • Responsible AI
  • Responsible Analytics
  • Data Governance
  • Digital Transformation
  • Customer Intelligence
  • Online Retail
  • Strategic Decision-Making
  • Decision Intelligence
  • Jupiter Publications Consortium
  • Open Access Book
  • Edited Book

Suggested Citation

Mohan Kumar, S., Shajin Nargunam, A., Arunachalam, H., & Balaganesh, D. (Eds.). (2026).
AI and Data Analytics in Business. Jupiter Publications Consortium.

https://doi.org/10.47715/978-93-86388-70-4

]]>
https://jpc.in.net/product/ai-and-data-analytics-in-business/feed/ 0 25592
Contours of Constitutional Power Essays on Governance and Accountability in India https://jpc.in.net/product/contours-of-constitutional-power-essays-on-governance-and-accountability-in-india/ https://jpc.in.net/product/contours-of-constitutional-power-essays-on-governance-and-accountability-in-india/#respond Mon, 27 Apr 2026 14:44:54 +0000 https://jpc.in.net/?post_type=product&p=25573

Contours of Constitutional Power : Essays on Governance and Accountability in India

Edited by Prof. (Dr.) V.J. Praneshwaran and Dr. Vidya Selvamony CMR University, School of Legal Studies, Bengaluru
Published by: Jupiter Publications Consortium
Published on : 16 April 2026
ISBN: 978-93-86388-75-9
Price: ₹400/-
]]>

About the Book

Contours of Constitutional Power: Essays on Governance and Accountability in India is a scholarly edited collection examining the constitutional distribution, exercise, and control of public power in India. The volume brings together essays on federalism, executive authority, parliamentary privilege, electoral accountability, emergency powers, judicial innovation, and democratic institutional design.

Book Information

TitleContours of Constitutional Power
SubtitleEssays on Governance and Accountability in India
EditorsProf. (Dr.) V.J. Praneshwaran; Dr. Vidya Selvamony
PublisherJupiter Publications Consortium
Published On16 April 2026
ISBN978-93-86388-75-9
Price₹400/-

Key Themes

Constitutional Law
Governance
Accountability
Indian Federalism
Public Law
Emergency Powers
Election Commission of India
Judicial Review
Parliamentary Privilege
Suo Motu Jurisdiction

Editors

Prof. (Dr.) V.J. Praneshwaran

Director, CMR University, School of Legal Studies, Bengaluru

Prof. (Dr.) V.J. Praneshwaran is a legal academic with extensive experience in legal practice, client counselling, teaching, and legal education. He holds an LL.M. in Constitutional Law, M.Phil. in Law, and Ph.D. from Bangalore University.

Dr. Vidya Selvamony

Advocate & Visiting Faculty, CMR University, School of Legal Studies, Bengaluru

Adv. (Dr.) Vidya Selvamony is a legal scholar, practicing advocate, visiting faculty member, and social reformer with more than 25 years of experience in the legal field.

Table of Contents

1. Executive Lawmaking through Ordinances in India

Author: Ms. Maddi Vandana Reddy

2. Parliamentary Privileges in India

Author: Ms. Gnaneshwari G

3. The Indian President and Federal Balance

Author: Ms. Vega Shree S

4. Reimagining Federal Balance: Doctrine of Pith and Substance

Author: Mr. Basavaraja

5. Revisiting Gubernatorial Discretion in India

Author: Mr. Gopinath Deshi

6. Reimagining Federalism: Local Self-Government

Author: Mr. Syed Suhail

7. Trade, Commerce and Fiscal Power under Part XIII

Author: Ms. Sairaab Shafi Shora

8. Legal Immunity of Election Commissioners in India

Author: Ms. Ziana George

9. Independence of the Election Commission of India

Author: Mr. Kumar Raj

10. Constitutional Safeguards Against Emergency Powers

Author: Mr. Ajith Kumar V

11. Article 356 and President’s Rule in India

Author: Mr. Beireizi Khithie

12. Financial Emergency under Article 360

Author: Ms. Vaishnavi R

13. Supreme Court’s Suo Motu Jurisdiction in India

Author: Ms. Razan Fatima Dawood

Suggested Citation

Praneshwaran, V. J., & Selvamony, V. (Eds.). (2026). Contours of Constitutional Power: Essays on Governance and Accountability in India. Jupiter Publications Consortium. https://doi.org/10.47715/978-93-86388-75-9

Rights & Permissions

Copyright © 2026 Jupiter Publications Consortium. All rights reserved. No part of this publication may be reproduced, stored, transmitted, distributed, or circulated in any form or by any means without prior written permission of the publisher, except as permitted by law.

]]>
https://jpc.in.net/product/contours-of-constitutional-power-essays-on-governance-and-accountability-in-india/feed/ 0 25573
Comparative Public Law: Rights, Governance and Justice https://jpc.in.net/product/comparative-public-law-rights-governance-and-justice/ https://jpc.in.net/product/comparative-public-law-rights-governance-and-justice/#respond Sun, 26 Apr 2026 09:19:17 +0000 https://jpc.in.net/?post_type=product&p=25559 Title: Comparative Public Law: Rights, Governance and Justice
Editors: Prof. (Dr.) V.J. Praneshwaran, Dr. Seema Surendran, Ms. Nirmala R. Harish
Publisher: Jupiter Publications Consortium
Year: 2026
ISBN: 978-93-86388-95-7
DOI: https://www.doi.org/10.47715/978-93-86388-95-7
Price: ₹450/-]]>

Premium Edited Academic Collection · 2026

Comparative Public Law: Rights, Governance and Justice

A vibrant and authoritative edited collection exploring constitutional design,
rights protection, democratic governance, public institutions, criminal justice,
accountability, and comparative constitutional thought.

Expertly Edited By
Prof. (Dr.) V.J. Praneshwaran
Dr. Seema Surendran
Ms. Nirmala R. Harish

31
Research Chapters
10+
Jurisdictions
6
Major Themes
2026
Published Edition

A colorful intellectual journey through rights, governance, and justice

Comparative Public Law: Rights, Governance and Justice is a refined edited academic collection devoted to the comparative study of public law across constitutional systems. It brings together thirty-one scholarly contributions on rights, governance, institutional design, accountability, justice, and public power. The volume examines how constitutional democracies address recurring legal questions:
how power should be distributed, how rights should be protected, how courts should review state action, how criminal justice should protect both victims and accused persons, and how accountability institutions can preserve public trust. With comparative engagement across India, the United States, the United Kingdom, Canada, Brazil, Germany, France, Norway, Denmark, and South Korea, this book offers a strong academic resource for legal scholarship, postgraduate study, classroom discussion, and public law research.

A dynamic, comparative, and research-rich academic contribution

The book is designed to be more than a collection of chapters. It is a structured
comparative conversation on constitutional systems, public institutions, rights,
criminal justice, and democratic accountability.

Comparative Depth

Places multiple jurisdictions in conversation to reveal shared constitutional concerns and distinct institutional responses.

Current Public Law Issues

Addresses emergency powers, federalism, judicial review, hate speech, sedition, corruption, domestic violence, and economic offences.

Research Utility

Useful for LL.M. students, Ph.D. scholars, law teachers, researchers, practitioners, and institutional libraries.

Global Comparative Reach

Jurisdictions Featured in the Volume

The collection brings together constitutional and public law perspectives from
multiple democratic and institutional traditions.

India
United States
United Kingdom
Canada
Brazil
Germany
France
Norway
Denmark
South Korea

Six powerful streams of public law scholarship

01

Constitutional Structure

Emergency powers, constitutional asymmetry, federalism, sovereignty, unitary and federal government, and parliamentary and presidential systems.

02

Rights and Liberties

Fundamental rights, freedom of expression, hate speech, sedition, domestic violence, individual liberty, and constitutional limits on state power.

03

Judicial Power

Judicial interpretation, judicial review, due process, constitutionalism, basic structure doctrine, and the role of courts in public law.

04

Criminal Justice

Victims’ rights, rights of accused persons, presumption of innocence, juvenile bail, plea bargaining, human rights, and procedural fairness.

05

Accountability Institutions

Lokayukta, ombudsman institutions, whistleblower protection, administrative checks, anti-corruption law, and public integrity.

06

Economic and Regulatory Justice

Corporate criminal liability, economic offences, delegated legislation, welfare administration, financial misconduct, and regulatory governance.

Read it chapter-wise, theme-wise, or research-wise

Readers interested in constitutional structure may begin with emergency powers, federalism, asymmetry, sovereignty, separation of powers, judicial review, and delegated legislation.

Readers focused on rights and justice may turn to chapters on victims and accused persons, human rights of accused persons, domestic violence, juvenile bail, freedom of expression, hate speech, sedition, and fundamental rights.

Researchers working on accountability and integrity may focus on Lokayukta, ombudsman institutions, whistleblower protection, administrative checks, anti-corruption law, corporate liability, and economic offences.

Edited by experienced legal academics

The volume reflects the academic guidance of editors associated with CMR School
of Legal Studies, CMR University.

VP

Prof. (Dr.) V.J. Praneshwaran

Director, School of Legal Studies, CMR University

Prof. (Dr.) V.J. Praneshwaran holds LL.M. in Constitutional Law, M.Phil. in Law, and Ph.D. from Bangalore University. With over 23 years of distinguished experience in legal practice, client counselling, teaching, legal literacy, and academic leadership, he brings strong constitutional and human rights expertise to the volume.

SS

Dr. Seema Surendran

Professor, School of Legal Studies, CMR University

Dr. Seema Surendran has over 25 years of teaching experience. Her areas of specialisation include International Law, Environmental Law, Corporate Law, Intellectual Property Law, and Criminal Law. She has held senior academic roles and contributed widely to legal scholarship.

NH

Ms. Nirmala R. Harish

Assistant Professor, CMR School of Legal Studies

Ms. Nirmala R. Harish holds LL.B. and LL.M. specialising in Constitutional Law from CMR University School of Legal Studies. A Gold Medal recipient and UGC-NET qualified academic, her areas of interest include Criminal Law and Constitutional Law.

Thirty-one scholarly contributions in one authoritative collection

Each chapter is a focused comparative study addressing rights, governance,
institutions, accountability, constitutional doctrine, criminal justice, and public law.

01

National Emergency Implementation and Its Effects: A Study of United States of America and India

Preethi V

Starts at page 1

A comparative study of emergency powers, constitutional safeguards, executive authority, national security, and civil liberty.

02

Constitutional Amendments Affecting Asymmetry: A Critical Study

Paul Johnson J

Starts at page 10

Explores constitutional amendments, asymmetrical federalism, regional identity, autonomy, and national integration.

03

Position of Victims and Accused in the Criminal Justice Systems of the USA and UK: A Comparative Study

Rahul Reddy. J

Starts at page 17

Compares victim rights, accused protections, due process, fair trial guarantees, and criminal justice reforms.

04

Lokayukta as the State Ombudsman in India: A Study with Special Reference to Karnataka and Kerala

Rajpoorani Bharat. T

Starts at page 24

Analyses Lokayukta institutions, corruption control, maladministration, public accountability, and state-level governance.

05

Unitary Form of Government: A Comparative Analysis of India and Brazil

Ravitheja V.K.

Starts at page 36

Studies unitary and federal governance features through a comparative analysis of India and Brazil.

06

A Comparative Analysis of Judicial Interpretation in Adversarial and Inquisitorial Systems

Razan Fatima Dawood

Starts at page 44

Examines judicial interpretation, court reasoning, legal procedure, and adjudicatory models.

07

Separation of Powers in India: A Comparative Constitutional Study

Sana Erum Siddiqui

Starts at page 53

Investigates the separation of powers as a constitutional safeguard against concentration of authority.

08

Whistleblower Protection Laws: A Comparative Analysis of India and the United States

Selvin John

Starts at page 64

Highlights whistleblower protection, public interest disclosure, institutional accountability, and anti-corruption governance.

09

Federalism and Sovereignty: A Comparative Study of India and U S

Shayestha Tabassum

Starts at page 72

Explores federal power distribution, sovereignty, constitutional authority, and centre-state relations.

10

Human Rights Approach to Accused of Crime: A Comparative Study

Syed Suhail K Z

Starts at page 79

Frames accused persons’ rights within human rights principles, constitutional democracy, and criminal process.

11

Judicial Review as Constitutionalism’s Guardian: India’s Basic Structure Doctrine vs. UK’s Parliamentary Sovereignty Limits

Saiethi Pravin Phadte

Starts at page 88

Compares judicial review, constitutionalism, basic structure doctrine, and parliamentary sovereignty.

12

The Ombudsman Institution: A Comparative Study of Norway and Denmark

Sairaab Shafi Shora

Starts at page 101

Studies ombudsman institutions as tools of administrative accountability, citizen protection, and good governance.

13

A Comparative Study of Fundamental Rights in India and the UK

Sakthi Eswar S

Starts at page 113

Compares constitutional protection of fundamental rights in India and the United Kingdom.

14

Separation of Powers and Economic Governance: A Comparative Study of India and the United Kingdom

Sanjana G L

Starts at page 120

Studies the connection between institutional structure, constitutional power, and economic governance.

15

State Responsibility and Domestic Violence: A Comparative Study of India and UK

Sherlin Jacob

Starts at page 131

Examines domestic violence as a public law, human rights, and state responsibility concern.

16

Freedom of Expression in Constitutional Democracies: A Comparative Study of India and the United Kingdom

Shri Sanjay R

Starts at page 141

Analyses free expression, democratic liberty, constitutional restrictions, and comparative speech protections.

17

Checks and Balances on the Administrative Mechanisms in India and the United States: An Analysis

Sithara

Starts at page 147

Explores administrative checks, oversight, accountability, and institutional restraint in India and the United States.

18

Corporate Criminal Liability: A Comparative Study of India and Germany

Sreetesha Roy Chowdhury

Starts at page 159

Compares corporate accountability, financial misconduct, criminal responsibility, and regulatory enforcement.

19

Parliamentary and Presidential Forms of Government: A Comparative Analysis of India and the United States

Suman. M

Starts at page 168

Contrasts parliamentary and presidential systems through executive accountability and constitutional design.

20

Juvenile Bail in India and the United Kingdom: A Comparative Public Law Analysis

Surabhi S

Starts at page 176

Studies juvenile bail through personal liberty, rehabilitation, child justice, and protective criminal jurisprudence.

21

Federalism: A Comparative Study Between India and Canada

Swathi

Starts at page 185

Compares federal power-sharing, constitutional structure, and centre-regional governance in India and Canada.

22

Judicial Review and Due Process Comparative Study of India and USA

Tejaswini D. Naidu

Starts at page 198

Examines judicial review and due process as safeguards against arbitrary exercise of state power.

23

Corruption and Legal Challenges: Lokayukta as the State Ombudsman in Rajasthan

Thelma Letitia Dcunha

Starts at page 208

Studies corruption control and the role of the Lokayukta in Rajasthan’s accountability framework.

24

Plea Bargaining and Its Effect: A Study of India and the USA

Vega Shree S

Starts at page 219

Compares plea bargaining as a tool of negotiated justice, criminal process efficiency, and case resolution.

25

Delegated Legislation as a Tool of Welfare Administration: A Comparative Study of France and India

Vaishnavi R

Starts at page 230

Explores delegated legislation in welfare administration, public governance, and regulatory decision-making.

26

Criminalisation of Economic Offences: A Comparative Public Law Analysis of India and the United States

Maddi Vandana Reddy

Starts at page 238

Studies economic offences, financial misconduct, market regulation, technological change, and public law enforcement.

27

Plea Bargaining as a Part of Criminal Law System: A Comparative Study of India and UK

Varsha Kiran Prabhu

Starts at page 250

Compares plea bargaining in India and the UK as a response to trial delays and criminal case backlog.

28

Freedom of Speech and Hate Speech in India and the USA: A Comparative Analysis

Wasim Abdulla

Starts at page 260

Compares expressive liberty, constitutional free speech protection, and hate speech regulation.

29

Nobody is Guilty Until Proven. Position of Accused in Criminal Justice System in India: A Legal Study

C. Lalhmangaihzuala

Starts at page 268

Studies the presumption of innocence and the legal position of accused persons in Indian criminal justice.

30

Corruption as a White-Collar Crime: A Comparative Study of Anti-Corruption Laws in India and South Korea

Selva Punitha V

Starts at page 278

Compares anti-corruption law, white-collar crime, public integrity, and governance reform.

31

Sedition and Criminal Justice: A Comparative Study of India and United Kingdom

Ziana George

Starts at page 287

Examines sedition, state security, dissent, freedom of expression, and criminal justice.

A rich glossary of constitutional and public law ideas

The volume engages with key legal ideas used in comparative constitutional law,
administrative law, criminal justice, governance, and accountability studies.

Comparative Public Law
Constitutionalism
Rule of Law
Federalism
Asymmetrical Federalism
Basic Structure Doctrine
Judicial Review
Due Process
Separation of Powers
Checks and Balances
Fundamental Rights
Emergency Powers
Ombudsman
Lokayukta
Whistleblower
Public Integrity
Corporate Criminal Liability
Plea Bargaining
Presumption of Innocence
Domestic Violence
Hate Speech
Sedition

A valuable reference for academic and professional readers

Law Students
LL.M. Researchers
Ph.D. Scholars
Constitutional Law Teachers
Legal Practitioners
Public Policy Analysts
Governance Researchers
University Libraries

Acquire a colorful, rigorous, and contemporary collection on rights,
governance, institutions, and justice.

This edited volume is a strong addition for university libraries, postgraduate
classrooms, legal research centres, public law scholars, and readers interested
in comparative constitutional governance.

]]>
https://jpc.in.net/product/comparative-public-law-rights-governance-and-justice/feed/ 0 25559
Artificial Intelligence in E-Commerce: Sentiment Analysis, Personalization and Impulse Buying Behaviour https://jpc.in.net/product/artificial-intelligence-in-e-commerce-sentiment-analysis-personalization-and-impulse-buying-behaviour/ https://jpc.in.net/product/artificial-intelligence-in-e-commerce-sentiment-analysis-personalization-and-impulse-buying-behaviour/#respond Thu, 16 Apr 2026 16:59:18 +0000 https://jpc.in.net/?post_type=product&p=25552 Artificial Intelligence in E-Commerce: Sentiment Analysis, Personalization and Impulse Buying Behaviour K. Sindhuri Publisher: Jupiter Publications Consortium Edition: First E-Book Edition Language: English Format: Digital download and online Published Date: 16-04-2026 ISBN: 978-93-86388-66-7 DOI: http://www.doi.org/10.47715/978-93-86388-66-7 Number of Pages: 214 Issuing Authority: Indian ISBN Agency (RRRNA)]]>

Artificial Intelligence in E-Commerce: Sentiment Analysis, Personalization and Impulse Buying Behaviour is a scholarly edited volume by K. Sindhuri, published by Jupiter Publications Consortium in 2026. This digital academic publication brings together research and analysis on the growing impact of artificial intelligence in e-commerce, with particular emphasis on sentiment analysis, personalization, impulse buying behaviour, consumer trust, privacy, predictive analytics, and intelligent digital business strategy.

Designed as an academic and practical resource, this volume is ideal for students, teachers, researchers, academicians, and professionals interested in the evolving role of artificial intelligence in digital commerce. It examines how AI-driven systems are transforming online marketplaces by enabling more relevant customer experiences, stronger consumer insight, improved decision-making, and more responsive marketing and service models.

The book covers a wide range of contemporary themes, including AI-powered personalization, sentiment analysis, predictive marketing, dynamic pricing, consumer trust, data protection, privacy, ethical AI practices, feedback analytics, and service innovation. It offers a broad perspective on the relationship between technology, commerce, and consumer behaviour in the digital economy.

This volume is valuable for higher education, research, academic libraries, and professionals seeking deeper insight into AI-enabled commerce, digital consumer ecosystems, and the future of intelligent retail transformation.

Editor: K. Sindhuri
Publisher: Jupiter Publications Consortium
Published: 16-04-2026
Format: Digital Download / Online
Language: English
Pages: 214
ISBN: 978-93-86388-66-7
DOI: 10.47715/978-93-86388-66-7

How to Cite

APA 7th:
Sindhuri, K. (Ed.). (2026). Artificial Intelligence in E-Commerce: Sentiment Analysis, Personalization and Impulse Buying Behaviour. Jupiter Publications Consortium. https://doi.org/10.47715/978-93-86388-66-7

MLA 9th:
Sindhuri, K., editor. Artificial Intelligence in E-Commerce: Sentiment Analysis, Personalization and Impulse Buying Behaviour. Jupiter Publications Consortium, 2026. DOI: 10.47715/978-93-86388-66-7.

Chicago 17th:
Sindhuri, K., ed. Artificial Intelligence in E-Commerce: Sentiment Analysis, Personalization and Impulse Buying Behaviour. Chennai: Jupiter Publications Consortium, 2026. https://doi.org/10.47715/978-93-86388-66-7.

Harvard:
Sindhuri, K. (ed.) 2026, Artificial Intelligence in E-Commerce: Sentiment Analysis, Personalization and Impulse Buying Behaviour, Jupiter Publications Consortium, Chennai. Available at: https://doi.org/10.47715/978-93-86388-66-7.

]]>
https://jpc.in.net/product/artificial-intelligence-in-e-commerce-sentiment-analysis-personalization-and-impulse-buying-behaviour/feed/ 0 25552
Mind to Market: The Journey of Intellectual Property https://jpc.in.net/product/mind-to-market-the-journey-of-intellectual-property/ https://jpc.in.net/product/mind-to-market-the-journey-of-intellectual-property/#respond Sat, 29 Nov 2025 14:01:15 +0000 https://jpc.in.net/?post_type=product&p=25495 Seema Surendran Nirmala R Harish

PUBLICATION INFORMATION ISBN: 978-93-86388-92-6 DOI: https://doi.org/10.47715/978-93-86388-92-6 Volume: I Edition: First First Published: 14th November 2025 No. of pages: 362 Price: Rs.475/- © 2025 Jupiter Publications Consortium All rights reserved worldwide.

PUBLISHER Jupiter Publications Consortium 22/102, Second Street, Virugambakkam Chennai – 600 092, India director@jpc.in.net | www.jpc.in.net

]]>
Preface

In an era where ideas fuel economies and innovation drives progress, Intellectual Property (IP) law stands as the cornerstone of creative and technological advancement. From groundbreaking pharmaceuticals to viral digital content, IP rights protect human ingenuity, ensuring that creators reap the rewards of their labour while fostering a competitive marketplace. As we navigate the complexities of globalization and rapid digital transformation, the framework of IP law faces unprecedented challenges that demand urgent reform and robust enforcement. At its core, IP law encompasses patents, copyrights, trademarks, and trade secrets—mechanisms designed to balance individual incentives with public benefit. Patents, for instance, grant inventors exclusive rights for a limited period, spurring research and development in fields like biotechnology and artificial intelligence. Copyrights safeguard artistic expressions, from literature to software code, enabling creators to monetize their work. Trademarks build brand trust, while trade secrets preserve competitive edges in industries reliant on proprietary knowledge. The digital revolution has exposed vulnerabilities, and emerging technologies like generative AI complicate matters further. Enforcement gaps exacerbate these issues, especially in developing economies where weak judicial systems and lax border controls allow counterfeit goods to flood markets. Despite progressive legislation, in many countries the challenges persist. In an increasingly interconnected world, the relevance of IP law transcends national boundaries. The globalization of trade, the digitization of creative works, and the rise of transnational innovation ecosystems have made the international dimension of IP law more critical than ever before. India’s IP architecture is anchored in robust statutes: the Patents Act, 1970 (amended in 2005 to comply with TRIPS); the Copyright Act, 1957 (updated in 2012); the Trademarks Act, 1999; and the Designs Act, 2000. The establishment of the Intellectual Property Appellate Board (IPAB)—now merged into commercial courts post-2021—and the creation of specialized IP divisions in High Courts reflect institutional progress. The National IPR Policy of 2016 further signalled intent, emphasizing this commitment.
This book is a response to the growing need for clarity, awareness, and strategic understanding of IPR. The book brings together a collection of articles that explore the multifaceted world of Intellectual Property Law—from foundational principles to contemporary challenges. Each contribution reflects a unique perspective, offering critical insights into the legal frameworks governing copyrights, patents, trademarks, geographical indications, and trade secrets. It further delves into the pressing questions addressing intellectual property law, exploring contemporary trends. The book covers various facets of IP, particularly in the light of ongoing challenges and its implementation.

Editors
Dr. Seema Surendran
Ms. Nirmala R Harish

]]>
https://jpc.in.net/product/mind-to-market-the-journey-of-intellectual-property/feed/ 0 25495
AI in Business Analytics and Decision-Making https://jpc.in.net/product/ai-in-business-analytics-and-decision-making/ https://jpc.in.net/product/ai-in-business-analytics-and-decision-making/#respond Sat, 29 Nov 2025 05:07:32 +0000 https://jpc.in.net/?post_type=product&p=25489 S. Mohan Kumar G. Balakrishnan Joseph Bamidele Awotunde K. P. Yadav

PUBLICATION INFORMATION

eISBN: 978-93-86388-87-2 DOI: https://doi.org/10.47715/978-93-86388-87-2 Volume: I Edition: First First Published: 12th November, 2025 Availability: Open Access © 2025 Jupiter Publications Consortium All rights reserved worldwide.

PUBLISHER Jupiter Publications Consortium 22/102, Second Street, Virugambakkam Chennai - 600 092, India director@jpc.in.net | www.jpc.in.net

]]>
Abstract

This edited volume examines the rapidly evolving intersection of Artificial Intelligence (AI), Machine Learning (ML), and business analytics, offering a comprehensive analysis of how these technologies redefine organizational decision-making and competitive strategy. The book explores a broad spectrum of themes, including enterprise-scale AI implementation, predictive and prescriptive analytics integration, data governance, organizational readiness, ethical frameworks, and future-focused analytical capabilities. Contributions span multiple domains such as e-commerce sentiment analysis, digital transformation, AI-enabled strategic decision-making, IoT-driven quality monitoring, workforce AI literacy, and chatbot-driven retail innovation. Drawing from empirical research, case studies, theoretical frameworks, and emerging technological trends, the volume highlights both the opportunities and challenges associated with AI adoption—including algorithmic performance, real-time adaptability, data quality, privacy, and sociotechnical tensions. The collective insights emphasize the need for scalable, interpretable, and ethically governed AI systems that align with organizational culture and strategic goals. This work serves as a critical resource for researchers, practitioners, executives, and policymakers seeking to advance organizational excellence through AI-driven analytics and future-ready decision-making.


Keywords

Artificial Intelligence, Machine Learning, Business Analytics, Decision-Making, Predictive Analytics, Prescriptive Analytics, Data Governance, Digital Transformation, Organizational Readiness, AI Ethics, Sentiment Analysis, E-Commerce Marketing, Big Data Analytics, Chatbots, Generative AI, IoT, Edge AI, Workforce Transformation, AI Literacy, Strategic Management, Data-Driven Decision-Making, Reinforcement Learning, Multimodal Analytics.

Chapter 1: Machine Learning Algorithms for Sentiment-Based E-Commerce Marketing

ARCHANA KUMARI

Indra Ganesan College of Engineering, Tiruchirappalli, Tamil Nadu 620012,
Department of Information Technology
dr.archanakumari.p@gmail.com
Chapter DOI: https://doi.org/10.47715/978-93-86388-87-2/ch1

Abstract
Altering consumer behavior prediction and optimizing marketing campaigns on social media has resulted in complex challenges in accurately detecting consumer sentiment and improving the impact of marketing in e-commerce. This review aims to expose current algorithm sentiment analysis on social media in e-commerce marketing. This review aims to expose the challenges in the execution of current model sentimentizers and evaluate their potential in traditional and new model integration. Concurrent real-time sentiment analysis with reinforcement learning in the context of marketing was also examined. More than 70 research papers have applied classical machine learning and deep learning, transformers, and hybrid models. The focus of the review was algorithmic effectiveness, real-time marketing impact, business interpretability, and legal ambiguity on marketing loops. The analysis indicates that the transformer model in complex tasks provides real-time results with reinforcement learning. Real-time echo models and predictive solicitude highlight the need to address accumulated technology in ethics and scale. The hybrid and ensemble models exhibit the lowest and located challenge towards explainability and prediction for the analysis set of models used. This examination highlights the necessity of designing scalable and interpretable systems that tackle the complexities of a diverse data ecosystem, along with ethical and pragmatic concerns. This sets the stage for more sophisticated and applied investigations into the interface between AI and consumer behavior prediction for the enhancement of e-commerce marketing.
Keywords: sentiment analysis, machine learning, e-commerce marketing, consumer behavior prediction, deep learning, transformer models

Chapter 2: Organizational Readiness and Change Management in the Age of AI-Driven Business Analytics

HEMALATHA ARUNACHALAM

Finance Manager, ZSC Enterprises, Marietta, Georgia, USA
hemalathaa@zscenterprises.com
Chapter DOI: https://doi.org/10.47715/978-93-86388-87-2/ch2

Abstract
Organizational readiness has crystallized as a principal determinant of success in managed change within turbulent contexts. This chapter reconceptualizes readiness as a composite framework encompassing psychological alignment, cultural resonance, structural competency,
and technological fitness. Building on empirical studies of healthcare reform, enterprise digital transformation, and Industry 4.0, the analysis demonstrates that readiness is a reliable predictor of implementation success, a regulator of resistance, and a facilitator of sustained change. It devotes special attention to the preconditions that must be satisfied to embed artificial intelligence and advanced analytics within decision-making processes. Effective AI integration demands constant, enterprise-level commitment that transcends purely technological expenditure—it is ultimately contingent upon the simultaneous readiness of human, procedural, and data domains. Organizations that develop this portfolio of capacities are in a stronger position to translate AI-generated insights into demonstrable value; however, neglecting holistic readiness exposes firms to inefficient resource deployment and project abandonment. The chapter argues that leadership behavior and prevailing cultural norms serve as essential moderators, influencing whether preparedness is amplified or eroded during transformation. By weaving together a rigorous theoretical foundation, robust empirical validation, and practical managerial guidance, the work repositions readiness as a continuously evolving suite of capabilities. The proposed framework not only enriches scholarly debate but also offers stepwise, implementable directives,thereby embedding readiness into AI-supported organizations and strengthening their capacity to withstand uncertainty and to base future decisions on consistently available insights.
Keywords: Organizational readiness, Change management, Artificial intelligence adoption,Business analytics and decision-making, Digital transformation, Industry 4.0

Chapter 3: Challenges in Implementing Big Data Analytics for Behavioral Targeting in Digital Retail: Emphasizing Difficulties in Data Collection, Processing, and Ensuring User Privacy

ARUL ELANGO

Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
arulelango2012@gmail.com
Chapter DOI: https://doi.org/10.47715/978-93-86388-87-2/ch3

Abstract
This chapter aims at “addressing the complex challenges in the acquisition, management, and ethical use of the data as identified in the review behavioral targeting in digital retail: the implementation of big data analytics and challenges in data collection, data processing, and user privacy”. The review sought to understand the challenges in the data collection process, assess the techniques for data processing, identify the privacy and ethical issues, the level of technological privacy, and the trust and regulatory frameworks. An interdisciplinary approach relying on empirical, conceptual, and technological studies of the available literature within the context of digital retail was used. The findings indicate the existence of silos of data fragmentation and other barriers to integration. This is despite the advancement of privacy-preserving collection techniques like federated learning. The existence of resource- and bias-related challenges limits the processing scalability of deep learning and synthetic data techniques. The data protection frameworks that incorporate differential privacy and blockchain are unable to diffuse consumer skepticism and ethical dilemmas. Compliance to GDPR and CCPA is important but difficult due to the fragmented governance and operational constraints. The lack of proper mechanisms for maintaining transparency and user control contributes to the unresolved privacy-personalization paradox which makes trust difficult to achieve. These results emphasize the importance of having open and ethically defendable frameworks for big data analytics that are balanced in their offering of personalization and privacy. The review determines areas where future research and practice could focus behavioral targeting optimization within a privacy preserve framework in digital retailing.
Keywords: Big data analytics, behavioral targeting, digital retail, privacy preservation, ethical frameworks, consumer trust, GDPR, federated learning

Chapter 4: Advanced Applications and Strategic Implications of AI Chatbots in E-Commerce

R SAKTHIVEL

Professor, Government Arts College, Tiruppur. sakthi19_69@yahoo.co.in
Chapter DOI: https://doi.org/10.47715/978-93-86388-87-2/ch4

Abstract
This chapter explores the intricacies of key technologies, business strategies, and evolving ethical aspects of AI chatbots within e-commerce. It uses peer-reviewed publications and industry case studies to examine the influence of generative AI, retrieval-augmented generation, multimodal fusion, and predictive analytics on the evolution of retail customer experience, operational effectiveness, and business model innovation. It analyzes operational efficiencies, business value, and customer equity improvements arising from chatbot utilization while addressing data quality, system integration equity, privacy, and sociotechnical change. It provides specific recommendations on responsible AI governance and serves as an exemplary guide on digital transformation to retailers as a foreword to the chapter. It discusses the expanding domain of conversational commerce and next-generation customer engagement as well. Keywords: AI chatbots, e-commerce, natural language processing, generative AI, customer experience, operational efficiency, personalization, data privacy, algorithmic fairness, retail strategy, business transformation, conversational commerce, digital governance

Chapter 5: IOT-Driven Innovations in Fruits and Vegetables Quality Monitoring: From Sensors To Edge AI

B. Babu

Associate Professor, Indra Ganesan College of Engineering, Manikandam, Trichy

K. Vanisri, S. Sumathra, and N. Ramanarayanan

Assistant Professor, Indra Ganesan College of Engineering, Manikandam, Trichy
Corresponding author: babuamr11@gmail.com

Chapter DOI: https://doi.org/10.47715/978-93-86388-87-2/ch5

Abstract
This review highlights recent advances in sensing technologies, embedded systems, and machine learning for the automated quality assessment of fruits and vegetables, with a particular focus on Internet of Things (IoT)-enabled solutions. These systems support real-time monitoring, remote alerts, and improved supply-chain visibility. The survey encompasses diverse sensing modalities, including visual, gas/e-nose, optical, mechanical/texture, and spectroscopic methods, as well as embedded and edge architectures. It further examines data analytics approaches, ranging from classical machine learning to lightweight convolutional neural networks optimized for edge devices. Representative implementations are discussed, along with practical challenges such as power efficiency, sensor calibration, selectivity, and data reliability. The review also explores future directions, including edge AI, digital twins, federated learning, and sustainable hardware. Overall, findings reveal a clear progression from basic environmental monitoring toward multimodal, AI-enabled edge devices that deliver actionable insights on freshness and grading to stakeholders across the agricultural value chain.
Keywords: Fruits and Vegetables, Fruits and Vegetables, Food Quality Monitoring, Computer Vision, Machine Learning / Deep Learning, Edge Computing, Digital Twins in Agriculture.

Chapter 6: AI-Driven Business Analytics and Its Role in Reducing Decision-Making Time for Strategic Leaders

R SAKTHIVEL

Professor, Government Arts College, Tiruppur. sakthi19_69@yahoo.co.in
Chapter DOI: https://doi.org/10.47715/978-93-86388-87-2/ch6

Abstract
This systematic review synthesizes 50 multidisciplinary studies published between 2020 and 2025 to examine the interplay between AI technological capabilities and organizational factors in accelerating strategic decision-making. The review addresses four critical research objectives: (1) evaluating current AI technologies that enhance business analytics and decision speed; (2) benchmarking organizational factors influencing AI adoption; (3) identifying integration challenges and facilitators; and (4) comparing technological innovations with organizational implications. The reviewed literature demonstrates that successful AI-driven decision-making requires a sociotechnical paradigm integrating technical innovations with organizational culture, leadership dynamics, ethical governance, and human agency. Key findings reveal that organizational readiness—encompassing data-driven culture, supportive leadership, continuous training, and robust ethical frameworks—is central to AI implementation effectiveness. Furthermore, human-AI collaboration, where artificial systems augment rather than replace human judgment, emerges as essential for preserving ethical accountability and organizational resilience. The synthesis identifies critical research gaps including limited longitudinal evidence, sector-specific variation analysis, and detailed implementation strategies for overcoming adoption barriers. Organizations embracing sociotechnical integration achieve accelerated decision-making and improved decision quality, while those treating AI as discrete technical projects experience minimal benefits and substantial implementation barriers.
Keywords: artificial intelligence, business analytics, strategic decision-making, organizational readiness, human-AI collaboration, sociotechnical systems, ethical governance, leadership transformation

Chapter 7: AI Literacy and Workforce Transformation

HEMALATHA ARUNACHALAM

Finance Manager, ZSC Enterprises, Marietta, Georgia, USA. hemalathaa@zscenterprises.com
Chapter DOI: https://doi.org/10.47715/978-93-86388-87-2/ch7

Abstract
Artificial Intelligence (AI) has become a disruptive technology that is transforming the face of education, industry, and society. This rapid alignment has posed a two-song necessity to develop AI literacy and navigate workforce changes. AI literacy is not confined to technical proficiency alone; it is broader, encompassing knowledge, critical judgment, ethical judgment, and socio-cultural consciousness. Workforce transformation, in turn, indicates the impacts of AI on work (in terms of automation and augmentation) to reorganize work and job structure and to alter the necessary skills. This chapter has synthesized the last 40 open-access reports published between 2023 and 2025, basing its evidence on education, human resource management, and organizational practice. The methodology used was narrative synthesis, which involves background coding in areas of literacy systems, educational interventions, and workforce adaptations. The findings demonstrate that AI literacy is multidimensional; education offers context for literacy pipelines. Workforce transformation is remarkably hastened in HR and organizational practices. Literacy acts as a facilitator of adaptability and resilience. However, unresolved issues remain, including inequities, ineffective measurement instruments, and fragmented models. The discussion focuses on AI literacy as the interface that connects education to the labor force, allowing people to be critical and companies to be innovative without diminishing the lives of others. The conclusion emphasizes that a transformation of the workforce may be discriminatory and inequitable without explicit efforts being made to improve literacy. The future looks promising in terms of cross-sectoral frameworks, interventions with a focus on equity, AI-enhanced learning ecosystems, and models of human-AI collaboration. The chapter provides a timely insight into how to achieve sustainable change in the human workforce by positioning AI literacy as a key driver of change within institutions and the rural workforce.
Keywords: AI literacy, workforce transformation, human–AI collaboration, education, ethical AI, adaptability

]]>
https://jpc.in.net/product/ai-in-business-analytics-and-decision-making/feed/ 0 25489
Generative AI for Cybersecurity: Threat Simulation and Anomaly Detection https://jpc.in.net/product/generative-ai-for-cybersecurity-threat-simulation-and-anomaly-detection/ https://jpc.in.net/product/generative-ai-for-cybersecurity-threat-simulation-and-anomaly-detection/#respond Thu, 10 Apr 2025 04:17:01 +0000 https://jpc.in.net/?post_type=product&p=25441 Dr. S. Mathivilasini Dr. D. Sridevi Dr. B. Anandapriya Copyright 2025 © Jupiter Publications Consortium All rights reserved ISBN: 978-93-86388-79-7 First Published: 1st April, 2025 DOI: www.doi.org/10.47715/978-93-86388-79-7 Price: 350/- No. of. Pages: 216 Jupiter Publications Consortium Chennai, Tamil Nadu, India E-mail: director@jpc.in.net Website: www.jpc.in.net]]> ABSTRACT

The need for intelligent and adaptive cyber security solutions is critical due to the ever evolving and complex nature of cyber threats. This monograph reveals the possibilities offered by generative AI models in cybersecurity, particularly in the areas of threat simulation and anomaly detection. In detail, it provides an overview of the present threat landscape and describes how generative models like GANs, VAEs, and Transformers can be used to perform sophisticated emulation, training data synthesis, real-time anomalous behavior detection, and attack detection. The work discusses also explores the design systems, methodologies, and ethics of generative AI model training that define its trustworthiness and governance. With the aid of interdisciplinary case studies and synthesis approaches, the monograph underscores the advanced potentials along with emerging vulnerabilities of employing generative AI in cyber defense operations. I hope this work becomes a starting point for researchers, practitioners, and strategists seeking to understand and aid in intelligent cyber defense leveraging AI.

Keywords: Generative AI, Cybersecurity, Threat Simulation, Anomaly Detection, GANs, VAEs, Transformers, Synthetic Data, Adversarial Attacks, Cyber Threat Intelligence, Behavioral Analysis, AI Ethics, Real-Time Monitoring, Deep Learning, Cyber Defense

 

How to Cite this Monograph:

Mathivilasini, S., Sridevi, D., & Anandapriya, B. (2025). Generative AI for Cybersecurity: Threat Simulation and Anomaly Detection. Jupiter Publications Consortium. ISBN: 978-93-86388-79-7. DOI: https://www.doi.org/10.47715/978-93-86388-79-7

]]>
https://jpc.in.net/product/generative-ai-for-cybersecurity-threat-simulation-and-anomaly-detection/feed/ 0 25441