ebook – Jupiter Publications Consortium https://jpc.in.net Best Publishing House in India Wed, 13 May 2026 12:28:31 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://i0.wp.com/jpc.in.net/wp-content/uploads/2023/07/logo-Copy.png?fit=32%2C32&ssl=1 ebook – Jupiter Publications Consortium https://jpc.in.net 32 32 221206694 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

View Book DOI


Read Chapter Abstracts

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

The following DOI URLs provide persistent digital access to the edited book and its individual chapters.

Book DOI
https://doi.org/10.47715/978-93-86388-70-4
Chapter 1 DOI
https://doi.org/10.47715/978-93-86388-70-4/Ch1
Chapter 2 DOI
https://doi.org/10.47715/978-93-86388-70-4/Ch2
Chapter 3 DOI
https://doi.org/10.47715/978-93-86388-70-4/Ch3
Chapter 4 DOI
https://doi.org/10.47715/978-93-86388-70-4/Ch4
Chapter 5 DOI
https://doi.org/10.47715/978-93-86388-70-4/Ch5
Chapter 6 DOI
https://doi.org/10.47715/978-93-86388-70-4/Ch6
Chapter 7 DOI
https://doi.org/10.47715/978-93-86388-70-4/Ch7

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.

Chapter 1: AI-Driven Business Analytics
Chapter 2: Big Data Analytics and Behavioural Targeting
Chapter 3: Predictive Analytics for Customer Retention
Chapter 4: Recommender Systems and Cross-Selling
Chapter 5: Behavioral Segmentation and Real-Time Engagement
Chapter 6: Customer-Centric Design in E-Commerce
Chapter 7: Mobile Commerce and Ubiquitous Customer Experiences

Individual Chapter Abstracts and Keywords

Chapter 1

DOI:

https://doi.org/10.47715/978-93-86388-70-4/Ch1

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

Chapter 2

DOI:

https://doi.org/10.47715/978-93-86388-70-4/Ch2

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

Chapter 3

DOI:

https://doi.org/10.47715/978-93-86388-70-4/Ch3

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

Chapter 4

DOI:

https://doi.org/10.47715/978-93-86388-70-4/Ch4

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

Chapter 5

DOI:

https://doi.org/10.47715/978-93-86388-70-4/Ch5

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

Chapter 6

DOI:

https://doi.org/10.47715/978-93-86388-70-4/Ch6

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

Chapter 7

DOI:

https://doi.org/10.47715/978-93-86388-70-4/Ch7

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.

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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

Publisher Contact

Jupiter Publications Consortium

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

]]> https://jpc.in.net/product/ai-and-data-analytics-in-business/feed/ 0 25592 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 Elevate Your Teaching Competence! Discover 1111 PPTs for Success https://jpc.in.net/product/elevate-your-teaching-competence-discover-1111-ppts-for-success/ https://jpc.in.net/product/elevate-your-teaching-competence-discover-1111-ppts-for-success/#respond Sat, 24 Jan 2026 04:30:56 +0000 https://jpc.in.net/?post_type=product&p=25505 Title: Elevate Your Teaching Competence! Discover 1111 PPTs for Success
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Language: English
Format: Single-component retail product (Digital download and online)
ISBN: 978-93-86388-64-3
DOI: https://www.doi.org/10.47715/978-93-86388-64-3]]> Abstract

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teaching competence, teacher development, faculty development, professional development, outcome-based education, learning outcomes, Bloom’s taxonomy, pedagogy, instructional design, lesson planning, teaching strategies, assessment alignment, formative assessment, summative assessment, curriculum design, syllabus design, question paper design, classroom facilitation, teacher orientation, educational leadership, performance excellence, continuous improvement, academic quality assurance, IQAC, higher education, school education, digital learning resources, PPT-based training, presentation toolkit

Overview

Elevate Your Teaching Competence! Discover 1111 PPTs for Success is a presentation-driven professional resource designed to help educators strengthen teaching competence and deliver more effective learning experiences. The book supports outcome-focused teaching by helping instructors plan, teach, and assess with clarity—so learning is not only delivered, but demonstrably achieved. This digital title is particularly relevant for institutions and educators working toward measurable learning outcomes, improved classroom practice, and continuous academic quality enhancement.

What This Book Helps You Achieve

  1. Teaching clarity: Strengthen lesson planning and delivery with explicit outcomes and structured presentation support.
  2. Outcome-focused instruction: Align teaching and learning practices with what learners should be able to demonstrate.
  3. Assessment alignment: Improve coherence between learning outcomes, instruction, and evaluation.
  4. Professional confidence: Use ready-to-deliver PPT resources as a scaffold for training sessions, faculty development, and classroom facilitation.
  5. Continuous improvement: Encourage reflective practice and systematic enhancement in teaching performance.

Who This Book is For

  1. School teachers and higher-education faculty seeking stronger teaching competence and delivery confidence
  2. Academic leaders, trainers, and faculty development coordinators
  3. IQAC/quality teams and institutions strengthening outcome-based teaching-learning-assessment practices
  4. Educators building capacity in educational leadership, performance excellence, and structured pedagogy

What You Receive (Digital Product)

  1. Single-component digital product available as digital download and online access
  2. A structured set of 1111 PPT-based teaching and training resources to support instructional delivery and professional development

Featured PPT Themes (Sample List)

The PPT resources cover a wide range of educator-development and instructional themes, including:

  1. Mission, Vision, and Core Values through practical exercises
  2. Personal mastery and competence development
  3. Factors affecting quality education
  4. Bloom’s Taxonomy and learning outcomes
  5. Educational leadership: traits, roadmaps, and growth pathways
  6. Structured syllabus design and structured question paper concepts
  7. New teacher orientation and implementation-oriented teaching practices
  8. Performance excellence and continuous improvement in education

(These themes are indicative; the full collection extends across a broad set of educator-development and delivery requirements.)

How to Use This Book Effectively

  1. Select PPTs aligned to your immediate requirement (classroom delivery, faculty training, orientation, leadership development, etc.).
  2. Adapt delivery notes and structure to your learner group and institutional context.
  3. Use the PPT sequence to reinforce outcomes → instruction → assessment alignment.
  4. Reuse as a training asset for continuous professional development programs.

Book Details

Title: Elevate Your Teaching Competence! Discover 1111 PPTs for Success
Author: Dr N Asokan
Publisher Name: Jupiter Publications Consortium
Imprint: Jupiter Publications Consortium
Publication Date: 25.01.2026
Edition: First Edition, 2026
Language: English
Format: Single-component retail product (Digital download and online)
ISBN: 978-93-86388-64-3
DOI: 10.47715/978-93-86388-64-3

About the Author

Dr. N. Asokan is a Non-Obvious Thinker, Learning Leader, Certified Accreditor (APACC), mentor, keynote speaker, and author of four books, dedicated to strengthening teaching competence and educational leadership. Over a 30-year career in educational leadership, he has supported the development of high-performing institutions through policy formulation, strategic execution, and governance-driven academic transformation.

Dr. Asokan’s leadership experience includes roles as Director, Dean, and Principal in leading educational institutions in Tamil Nadu, India. He is known for building strong operating systems that connect institutional vision with classroom-level practice—improving clarity of outcomes, strengthening teaching-learning-assessment alignment, and embedding continuous improvement across departments. His strengths include defining policy direction, facilitating senior-level operations, executing strategic initiatives, and leading diverse teams across functions and cultures.

In addition to institutional leadership, Dr. Asokan is widely engaged in educator capacity building. He has conducted numerous speaking and training sessions that have benefited 34,000+ participants, and he has mentored and guided many educators and leaders to achieve professional success and measurable impact.

He currently serves as Dean (Multidisciplinary – Administration) at Sona Medical College of Naturopathy and Yoga, Salem (2024–present). Previously, he served at SRM Institute of Science and Technology, Chennai as HOD & Professor (Physics) (2023–2024) and as Vice Principal (Academic – Administration) (2021–2022).

Academically, he earned a Ph.D. (Interdisciplinary) from the University of Madras (2004–2007) and an M.E. in Metallurgy / Material Science from the National Institute of Technology Tiruchirappalli (1990–1991). He is a Life Member of ISTE (since 1998) and has served as a Certified Accreditor with the Asia Pacific Accreditation and Certification Commission (APACC) since 2017.

His scholarly and professional work spans books, book chapters, edited volumes, and research publications, reflecting a sustained commitment to educational excellence, leadership development, and impactful learning.

Highlights

  • 30 years of educational leadership and institutional development

  • Certified Accreditor (APACC) | Life Member, ISTE

  • Former Director, Dean, and Principal (Tamil Nadu, India)

  • 34,000+ beneficiaries through speaking and training sessions

  • Mentor to educators and leaders for career success

  • Current: Dean (Multidisciplinary – Administration), Sona Medical College of Naturopathy and Yoga (2024–present)

  • Former: Vice Principal (Academic – Administration), SRM IST (2021–2022); HOD & Professor (Physics), SRM IST (2023–2024)

  • Author of four books; contributor to books/chapters and research publications

Licensing and Use (Digital Product)

This digital publication is licensed for the purchaser’s personal use only. Redistribution, resale, lending, sharing, uploading to public platforms, or systematic distribution of any portion of this content—including presentation files and associated materials—is strictly prohibited.

For permissions, rights, or licensing inquiries, contact:
Jupiter Publications Consortium (Permissions Department)
22/102, Second Street, Venkatesa Nagar, Virugambakkam, Chennai 600 092
Email: director@jpc.in.net | drsmagesh@jpc.in.net

Disclaimer

The content in this book is provided for educational and informational purposes. While reasonable care has been taken in preparing this publication, the author and publisher make no representations or warranties with respect to the completeness, accuracy, or applicability of the content and shall not be liable for any loss or damages arising from its use. Outcomes in teaching and learning depend on multiple factors, including context and implementation.

Frequently Asked Questions

1) What format is this book available in?
It is a digital product available as a single-component retail product for digital download and online use.

2) Can I share the PPTs with colleagues or upload them to a shared drive?
No. The license is for personal use only. Sharing, uploading, or redistribution is prohibited.

3) Can my institution purchase a license for faculty use?
Yes. Contact the Permissions Department at Jupiter Publications Consortium for institutional licensing options.

4) Is this suitable for teacher training and orientation programs?
Yes. The PPT-based format is suitable for faculty development, teacher orientation, structured training sessions, and professional learning programs.

How to Cite This Book

Authors may cite this book using any preferred citation style below.

APA (7th Edition)

Asokan, N. (2026). Elevate your teaching competence! Discover 1111 PPTs for success (1st ed.) [Digital download]. Jupiter Publications Consortium. https://doi.org/10.47715/978-93-86388-64-3

MLA (9th Edition)

Asokan, Dr N. Elevate Your Teaching Competence! Discover 1111 PPTs for Success. 1st ed., Jupiter Publications Consortium, 2026. DOI: 10.47715/978-93-86388-64-3.

Chicago (Notes & Bibliography)

Bibliography

Asokan, N. Elevate Your Teaching Competence! Discover 1111 PPTs for Success. 1st ed. Jupiter Publications Consortium, 2026. https://doi.org/10.47715/978-93-86388-64-3

Footnote

N. Asokan, Elevate Your Teaching Competence! Discover 1111 PPTs for Success, 1st ed. (Jupiter Publications Consortium, 2026), https://doi.org/10.47715/978-93-86388-64-3.

IEEE

N. Asokan, Elevate Your Teaching Competence! Discover 1111 PPTs for Success, 1st ed. Jupiter Publications Consortium, 2026. doi: 10.47715/978-93-86388-64-3.

Vancouver

Asokan N. Elevate Your Teaching Competence! Discover 1111 PPTs for Success [digital download]. 1st ed. Jupiter Publications Consortium; 2026. doi: 10.47715/978-93-86388-64-3.

Harvard

Asokan, N. (2026) Elevate Your Teaching Competence! Discover 1111 PPTs for Success. 1st edn. Jupiter Publications Consortium. Available at: https://doi.org/10.47715/978-93-86388-64-3

In-text Citation Examples

  • APA: (Asokan, 2026)
  • MLA: (Asokan)
  • Chicago: (Asokan 2026)
  • IEEE: [1]
  • Vancouver: (1)
  • Harvard: (Asokan, 2026)

Core Book Metadata

  • Title: Elevate Your Teaching Competence! Discover 1111 PPTs for Success
  • Author: Dr N Asokan
  • Publisher: Jupiter Publications Consortium
  • Year: 2026
  • Edition: First Edition
  • Format: Digital download and online
  • ISBN: 978-93-86388-64-3
  • DOI: 10.47715/978-93-86388-64-3
]]> https://jpc.in.net/product/elevate-your-teaching-competence-discover-1111-ppts-for-success/feed/ 0 25505 AI-Powered Personalization in Learning https://jpc.in.net/product/ai-powered-personalization-in-learning/ https://jpc.in.net/product/ai-powered-personalization-in-learning/#respond Sun, 30 Nov 2025 05:20:55 +0000 https://jpc.in.net/?post_type=product&p=25498 S. Mohan Kumar


Publisher:
Jupiter Publications Consortium
Chennai, Tamil Nadu, India

Publication Details:
ISBN (eBook): 978-93-86388-73-5
DOI: https://doi.org/10.47715/978-93-86388-73-5
Format: eBook
Pages: 152
First Edition: 10 November 2025

Publisher:
Jupiter Publications Consortium
director@jpc.in.net
https://www.jpc.in.net

Open Access License:
This eBook is licensed under Creative Commons Attribution–Non Commercial 4.0 International (CC BY-NC 4.0).

Subject Classification:
Education | Technology | Artificial Intelligence | Learning Science | Educational Psychology

]]> Abstract

The digital transformation of education through Artificial Intelligence (AI) parallels a paradigm shift akin to that observed in precision healthcare. This monograph explores the integration of AI-powered personalization in learning environments, demonstrating how intelligent systems can tailor pedagogy, content, and assessment based on learner behavior, preferences, and performance. Through a multidisciplinary lens, the work evaluates adaptive technologies, ethical challenges, algorithmic bias, and the evolving role of educators. It presents a policy-informed roadmap for scalable and equitable AI implementation in education. Drawing inspiration from personalized diagnostics and treatment models in healthcare, the monograph advocates for a learner-centered, data-informed, ethically grounded, and future-ready framework. Rich with case studies, conceptual frameworks, and evidence-based recommendations, it serves as a comprehensive guide for educators, policymakers, researchers, and AI technologists committed to shaping the future of learning.

Keywords:

Artificial Intelligence, Personalized Learning, Educational Technology, Adaptive Learning Systems, Learning Analytics, Algorithmic Fairness, Ethical AI, Intelligent Tutoring Systems, AI Literacy, Educational Equity, Precision Healthcare, Scalable Implementation, Policy Frameworks, Emotional AI, Augmented Reality, Virtual Reality, Human-AI Collaboration, Digital Transformation

CITE THIS BOOK:

 

APA (7th ed.)

Kumar, S. M. (2025). AI-powered personalization in learning. Jupiter Publications Consortium. https://doi.org/10.47715/978-93-86388-73-5

MLA (9th ed.)

Kumar, S. Mohan. AI-Powered Personalization in Learning. Jupiter Publications Consortium, 2025. DOI: 10.47715/978-93-86388-73-5.

Chicago (17th ed., Author–Date)

Kumar, S. Mohan. 2025. AI-Powered Personalization in Learning. Chennai: Jupiter Publications Consortium. https://doi.org/10.47715/978-93-86388-73-5.

Chicago (Notes & Bibliography)

Kumar, S. Mohan. AI-Powered Personalization in Learning. Chennai: Jupiter Publications Consortium, 2025. https://doi.org/10.47715/978-93-86388-73-5.

Harvard Style

Kumar, S.M. (2025) AI-powered personalization in learning. Chennai: Jupiter Publications Consortium. DOI: 10.47715/978-93-86388-73-5.

IEEE

S. M. Kumar, AI-Powered Personalization in Learning. Chennai, India: Jupiter Publications Consortium, 2025. doi: 10.47715/978-93-86388-73-5.

Vancouver

  1. Kumar SM. AI-Powered Personalization in Learning. Chennai: Jupiter Publications Consortium; 2025. 152 p. DOI: 10.47715/978-93-86388-73-5.

Turabian

Kumar, S. Mohan. AI-Powered Personalization in Learning. Chennai: Jupiter Publications Consortium, 2025. https://doi.org/10.47715/978-93-86388-73-5.

BibTeX

@book{kumar2025aipersonalization,
author = {Kumar, S. Mohan},
title = {AI-Powered Personalization in Learning},
year = {2025},
publisher = {Jupiter Publications Consortium},
address = {Chennai, Tamil Nadu, India},
doi = {10.47715/978-93-86388-73-5},
isbn = {978-93-86388-73-5}
}

RIS Format

TY - BOOK
AU - Kumar, S. Mohan
TI - AI-Powered Personalization in Learning
PY - 2025
PB - Jupiter Publications Consortium
CY - Chennai, Tamil Nadu, India
SN - 978-93-86388-73-5
DO - 10.47715/978-93-86388-73-5
ER -

AMA Style

Kumar SM. AI-Powered Personalization in Learning. Chennai, India: Jupiter Publications Consortium; 2025. doi:10.47715/978-93-86388-73-5.

]]> https://jpc.in.net/product/ai-powered-personalization-in-learning/feed/ 0 25498 The Link Between Artificial Intelligence and Generative AI: A Journey Towards the Future of Intelligence https://jpc.in.net/product/the-link-between-artificial-intelligence-and-generative-ai-a-journey-towards-the-future-of-intelligence/ https://jpc.in.net/product/the-link-between-artificial-intelligence-and-generative-ai-a-journey-towards-the-future-of-intelligence/#respond Thu, 26 Jun 2025 10:19:24 +0000 https://jpc.in.net/?post_type=product&p=25456 कृत्रिम बुद्धिमत्ता और जनरेटिव एआई के बीच की कड़ी: बुद्धिमत्ता के विष्य की ओर एक यात्रा

प्रोफे. डॉ. एस. मोहन कुमार

प्रो. डॉ. के. पी. यादव

© 2025 ज्यूपिटर पब्लिकेशन्स कंसोर्टियम सर्वाधिकार सुरक्षित। ISBN: 978-93-86388-78-0 प्रथम प्रकाशन: 25 मार्च 2025 DOI: https://www.doi.org/10.47715/978-93-86388-78-0 मूल्य: ₹375/- पृष्ठों की संख्या: 272 प्रकाशक: ज्यूपिटर पब्लिकेशन्स कंसोर्टियम चेन्नई, तमिलनाडु, भारत ईमेल: director@jpc.in.net]]> सारांश (Abstract):

यह पुस्तक कृत्रिम बुद्धिमत्ता (AI) और जनरेटिव एआई के सिद्धांत, तकनीक और अनुप्रयोगों की एक व्यापक व्याख्या प्रस्तुत करती है। प्रारंभिक अध्यायों में AI की मूल अवधारणाएँ, एजेंट्स, खोज रणनीतियाँ और ज्ञान प्रतिनिधित्व की गहराई से चर्चा की गई है, जो बुद्धिमत्ता की नींव को स्पष्ट करती हैं। इसके बाद, मशीन लर्निंग, निर्णय वृक्ष, और न्यूरल नेटवर्क्स जैसे आधुनिक अधिगम तकनीकों को शामिल किया गया है, जो AI की आत्म-सीखने की क्षमताओं को दर्शाते हैं। अंतिम इकाइयाँ जनरेटिव एआई की परिकल्पना, तकनीकी ढाँचा और रचनात्मक अनुप्रयोगों पर केंद्रित हैं, जैसे GPT, DALL·E, और GANs, जो मशीनों को कल्पनाशक्ति की दिशा में सक्षम बनाते हैं। यह पुस्तक छात्रों, शोधकर्ताओं और नवाचार के क्षेत्र में काम करने वालों के लिए एक संपूर्ण मार्गदर्शक है।

कीवर्ड्स (Keywords): कृत्रिम बुद्धिमत्ता, जनरेटिव एआई, बुद्धिमान एजेंट्स, समस्या समाधान, मशीन लर्निंग, निर्णय वृक्ष, न्यूरल नेटवर्क्स, प्राकृतिक भाषा प्रसंस्करण, कंप्यूटर विज़न, GPT, GANs, DALL·E, एजेंट-आधारित प्रणालियाँ, इंडस्ट्री 5.0, स्वचालन, रचनात्मकता, तर्कशक्ति, अधिगम एल्गोरिद्म

]]> https://jpc.in.net/product/the-link-between-artificial-intelligence-and-generative-ai-a-journey-towards-the-future-of-intelligence/feed/ 0 25456 Empowering Educators: Mastering Curriculum Decision Making https://jpc.in.net/product/empowering-educators-mastering-curriculum-decision-making/ https://jpc.in.net/product/empowering-educators-mastering-curriculum-decision-making/#respond Mon, 09 Dec 2024 03:37:54 +0000 https://jpc.in.net/?post_type=product&p=25400 Author: Dr N Asokan ISBN: 978-93-86388-86-5 DOI: https://www.doi.org/10.47715/978-93-86388-86-5 Volume: I Edition: First Price: 499/- Date of Publication: 09/12/2024 Published by: Jupiter Publications Consortium director@jpc.in.net | www.jpc.in.net Copyright @2024. All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher, except in the case of brief quotations embodied in critical reviews and specific other non-commercial uses permitted by copyright law. For permission requests, write to the publisher, addressed "Attention: Permissions Coordinator," at the address below.]]> Abstract

Curriculum Decisions Matters

Effective curriculum decision making is the backbone of exceptional education. It has the power to inspire, engage, and transform students, teachers, and entire learning communities. Yet, for many educators and educational leaders, curriculum development and implementation can be a daunting and complex task. The ever-changing educational landscape, diverse student needs, and competing stakeholder demands can make it challenging to create and implement a curriculum that truly supports student success for their life and career.

“Empowering Educators: Mastering Curriculum Decision Making” is designed to address this critical need. This book provides educators with the knowledge, competence, and confidence to take ownership of curriculum decision making, ensuring that every student receives a high-quality education.

Curriculum decisions directly influence what students learn, how they learn, and the overall quality of their educational experience. A well-designed curriculum ensures alignment with institutional, local, and national educational goals, standards, and policies. Curriculum decisions shape teaching methodologies, instructional strategies, and assessment approaches. It affects student achievement, engagement, motivation, and future career prospects.

Curriculum decision making involves teachers in professional development, fostering collaboration, and expertise, reflect societal values, cultural norms, and community expectations, help prepare students for an evolving, complex, and interconnected world, influence resource allocation, including budgeting, staffing, and infrastructure.

Curriculum decisions ensure accountability to stakeholders, including parents, policymakers, and the broader community and facilitate adaptability to changing educational landscapes, technologies, and societal needs.

Written for teachers, school leaders, educators, educational leader, education decision makers and education policymakers, this comprehensive guide offers different attributes to be considered in framing curriculum, delivering the content and assessing the
students, to empower educators to navigate the complexities of educational policy and reform.

“Empowering Educators” will equip you with the expertise to make informed, curriculum decisions that foster academic excellence, social-emotional growth, and lifelong learning.

Part 1 of this book discusses about the definitions, concepts and ideologies, models of curriculum. The importance of curriculum and syllabus inside the classroom.

Second Part 2 of this book discusses about why curriculum decision makers have to consider the Mission (Purpose) of Teaching Profession, of Program and the Mission of institution and how it has to be synchronised with vision and core values of stakeholders.

Why educators agrees its students should develop the graduate attributes during their time with the institution and consequently shape the contribution they can make to their profession and society.

Why the development of metacognition, higher order thinking skills, development of requisite competence of students during their period of study is important and how decision makers to provide space and time for the development that matters.

How the transdisciplinary learning helps the graduates passed out of higher educational institutions to solve the current and anticipating societal problem.

How different dimensions of National Education Policy 2020 (NEP 2020) has to be incorporated into the curriculum.

How do we develop graduates for the future of work, where new jobs emerge that just didn’t exist, or have not been invented yet.

Why we need to develop the reading of different genre of books among our students during the period of study to understand the different authors ideas, concepts, principles and frameworks, which help the graduates to apply in any new situations.

This book aims to empower educators to take charge of curriculum decision making, providing them confidence and courage to create exceptional learning experiences for all students.

Keywords: Curriculum decision making, Educational policy, Curriculum development, Educational leadership, Student success, Teaching methodologies, Instructional strategies, Assessment approaches, Professional development, National Education Policy 2020 (NEP 2020), Graduate attributes, Metacognition, Higher-order thinking skills, Transdisciplinary learning, Lifelong learning, Social-emotional growth, Curriculum alignment, Educational goals, Stakeholder demands, Resource allocation, Adaptability in education, Mission and vision of education, Future workforce readiness, Reading diverse genres, Educational reform, Complex educational landscape, Empowering educators, Exceptional learning experiences.

Dr. N. Asokan, Ph.D.
December 2024

How to cite this E-Book:

Asokan, N. (2024). Empowering Educators: Mastering Curriculum Decision Making (1st ed.). ISBN: 978-93-86388-86-5. Jupiter Publications Consortium. https://www.doi.org/10.47715/978-93-86388-86-5

]]> https://jpc.in.net/product/empowering-educators-mastering-curriculum-decision-making/feed/ 0 25400 Empower Your Leadership Skills with the Wisdom of Books https://jpc.in.net/product/empower-your-leadership-skills-with-the-wisdom-of-books/ https://jpc.in.net/product/empower-your-leadership-skills-with-the-wisdom-of-books/#respond Tue, 13 Aug 2024 04:19:41 +0000 https://jpc.in.net/?post_type=product&p=25360 Author: Dr. N. Asokan Ph.D
E-ISBN: 978-93-86388-72-8
First Published: 15th August 2024
DOI: www.doi.org/10.47715/978-93-86388-72-8
Price: 499/-
No. of. Pages: 289

Jupiter Publications Consortium

Chennai, Tamil Nadu, India

E-mail: director@jpc.in.net

Website: www.jpc.in.net

]]> Abstract:

The book “Empower Your Leadership Skills with the Wisdom of Books” highlights the transformative power of reading for personal and professional growth. It discusses how engaging with various genres enhances mental clarity, creativity, and critical thinking, which are essential traits for effective leadership. The author emphasizes the importance of active reading and lifelong learning, presenting reading as a tool for better understanding complex situations and fostering innovation. Additionally, the book explores the health benefits of reading, such as reducing stress and improving brain function, ultimately promoting a sharper mind and longer life.

Keywords:

Leadership, personal growth, professional development, reading, mental clarity, creativity, critical thinking, lifelong learning, stress reduction, brain function, innovation.

 

Empower Your Leadership Skills with the Wisdom of Books

Introduction:

Books are packed with priceless insights, be it for your personal or your professional life.

Each book packs a punch of wisdom and motivation, tackling different aspects of personal growth.

Each book was a large world, infinitely rich for exploration, and woe to the reader who answered questions as if, instead of traveling therein, he had been listening to a travelogue.

Education does not stop with schooling, nor does the responsibility for the ultimate educational fate of each of us rest entirely on the school system. Everyone can and must decide for himself whether he is satisfied with the education he got or is now getting if he is still in school.

If he is not satisfied, it is up to him to do something about it. With schools as they are, more schooling is hardly the remedy.

One weary out—perhaps the only one available to most people—is to learn to read better, and then, by reading better, to learn more of what can be learned through reading.

– Dr. N. Asokan

How to site this Book:

Asokan, N. (2024). Empower Your Leadership Skills with the Wisdom of Books (1st ed.). Jupiter Publications Consortium. E-ISBN: 978-93-86388-72-8. DOI:  https://www.doi.org/10.47715/978-93-86388-72-8

]]> https://jpc.in.net/product/empower-your-leadership-skills-with-the-wisdom-of-books/feed/ 0 25360 Concept Three https://jpc.in.net/product/concept-three/ https://jpc.in.net/product/concept-three/#respond Fri, 14 Jul 2023 11:54:34 +0000 https://alphabetsoftwares.in/jupiter/?post_type=product&p=24738 https://doi.org/10.47715/JPC.B.63.2021.9788194706946]]> Abstract

What are the three most important things I learned today?”. Seven years back, when I read the book “The McKinsey Way” by Ethan M. Rasiel, I became a fan of Number Three. At McKinsey, three is a magic number. Things at the Firm come in threes. Ask a McKinsey-ite a complex question, and you are likely to hear “There are three reasons. . .” Then, of course, there is the true McKinsey hierarchy for consultants—in descending order: client, Firm, you.

Keywords: 

Concept Three

Download Sample Pages

How to cite this Book:

APA:
Asokan, N ., (2021). Concept Three (1st ed., pp. 1-200). Jupiter Publications consortium,
ISBN: 978-81-947069-4-6 ,  DOI: https://doi.org/10.47715/JPC.B.63.2021.9788194706946.

]]> https://jpc.in.net/product/concept-three/feed/ 0 24738 Indian Context Mini Cases on Innovation and Entrepreneurship https://jpc.in.net/product/indian-context-mini-cases-on-innovation-and-entrepreneurship/ https://jpc.in.net/product/indian-context-mini-cases-on-innovation-and-entrepreneurship/#respond Fri, 14 Jul 2023 07:43:50 +0000 https://alphabetsoftwares.in/jupiter/?post_type=product&p=24647  https://doi.org/10.47715/JPC.B.978-93-91303-44-0 EDITORIAL TEAM Dr. R. R a m e s h Dr. P. P r i y a d a r s i n i Dr. T. M a n a g a i y a r k a r a s i Mr. P. A n b a r a s a n Mr. K . B. P a n d i m u r u g a n Dr. S. P r i t h i Ms. D. S u b h a]]> Abstract: 

The Indian entrepreneurial ecosystem has grown significantly over the years and has become a hub for innovative ideas and successful startups. With the rise of innovation and entrepreneurship, it has become increasingly important to understand the unique challenges and opportunities faced by entrepreneurs in India. This book presents a collection of mini-cases that showcase innovation and entrepreneurship in the Indian context. The cases cover a range of industries and highlight the importance of innovation, risk-taking, and persistence in the entrepreneurial journey. The book is intended for entrepreneurs, students, and anyone interested in the topic of innovation and entrepreneurship. The mini-cases provide insights into the Indian entrepreneurial ecosystem and the challenges faced by entrepreneurs. The cases also highlight the key success factors that have helped entrepreneurs overcome these challenges and achieve success. The Book is structured into several chapters, each dedicated to a specific mini-case. The cases are diverse and cover a range of industries, from technology to healthcare to consumer goods. In conclusion, this book provides a comprehensive overview of the Indian entrepreneurial ecosystem and the innovative ideas that are driving the country forward. Whether you are an entrepreneur, student, or someone interested in the topic, this book offers a valuable resource for gaining insights into the world of innovation and entrepreneurship in India.

Keywords: 

Mini Cases, Entrepreneurship

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How to cite this Book: 

APA:
Ramesh. R, Priyadarsini. P.,(2023). Indian Context Mini Cases on Innovation and Entrepreneurship(1st ed., pp. 1-143). Jupiter Publications Consortium, ISBN: 978-93-91303-44-0, DOI: https://doi.org/10.47715/JPC.B.978-93-91303-44-0

]]> https://jpc.in.net/product/indian-context-mini-cases-on-innovation-and-entrepreneurship/feed/ 0 24647 VERSION 2.0 CONCEPT 3 https://jpc.in.net/product/version-2-0-concept-3/ https://jpc.in.net/product/version-2-0-concept-3/#respond Tue, 04 Jul 2023 07:33:17 +0000 https://alphabetsoftwares.in/jupiter/?post_type=product&p=24370 https://doi.org/10.47715/JPC.B.978-93-91303-65-5]]> Abstract:

“Version 2.0 CONCEPT THREE: Unveiling the Power of Triadic Structure in Communication” is a profound e-book that delves into the cognitive and communicative significance of the ‘Rule of Three.’ Drawing from the ancient Latin adage “omne trium perfectum” (every set of three is complete), the book explores the ubiquity and effectiveness of triadic structures in various forms of communication, from prose and poetry to film and advertising. The rule of three operates on the premise that the human mind is proficient at grasping, retaining, and processing information presented in trios, beyond which comprehension tends to decline. This compelling work not only investigates this cognitive phenomenon but also offers a practical guide to leveraging the rule of three in the construction of impactful messages. The book unfolds in three meticulous steps, embodying its very concept. It begins by instructing readers on crafting a concise, Twitter-friendly headline encapsulating the core message of the intended communication. It then guides readers through the development of three key messages to support the headline. Lastly, it demonstrates how to enhance these messages with captivating stories or anecdotes. The principles illuminated in “Version 2.0 CONCEPT THREE” serve as invaluable tools for anyone seeking to amplify their communication skills, be it in professional, educational, or personal contexts.

Keywords 

Keywords: Rule of Three, Omne Trium Perfectum, Triadic Structure, Communication, Cognition, Memory, Message Map, Twitter-friendly Headline, Key Messages, Storytelling, Communication Skills.

How to cite this Book: 

APA:
N. Asokan (2023). VERSION 2.0 CONCEPT 3 (1st ed.). Jupiter Publications Consortium. ISBN: 978-93-91303-65-5, DOI: https://doi.org/10.47715/JPC.B.978-93-91303-65-5

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