AI-Driven Transformation in Education and Business
Practices, Innovations, and Sustainable Futures
Will be published approx. on 1. December 2026
Book
Hardback
324 pages
978-1-80686-288-7 (ISBN)
Description
Artificial Intelligence is rapidly reshaping the landscapes of education and business, driving innovation and redefining operational norms. The latest volume of the Advanced Series in Management brings together interdisciplinary perspectives to explore how AI technologies-from predictive analytics and automation, to adaptive learning systems-are enabling smarter decision-making, personalised experiences, and enhanced efficiency. At the same time, it critically examines the ethical, infrastructural, and skill-based challenges that accompany this digital shift, offering a balanced view of both promise and complexity.
Bridging theory and practice, AI-Driven Transformation in Education and Business presents empirical research, real-world case studies, and policy insights that illuminate the evolving role of AI in organisational and educational contexts. It contributes to global conversations around digital transformation and sustainability, aligning with key UN Sustainable Development Goals such as Quality Education and Responsible Management. Ideal for scholars, students, and practitioners, this volume offers a comprehensive guide to navigating the AI-driven future, especially in a post-pandemic world where hybrid learning and intelligent business models are becoming the norm.
Bridging theory and practice, AI-Driven Transformation in Education and Business presents empirical research, real-world case studies, and policy insights that illuminate the evolving role of AI in organisational and educational contexts. It contributes to global conversations around digital transformation and sustainability, aligning with key UN Sustainable Development Goals such as Quality Education and Responsible Management. Ideal for scholars, students, and practitioners, this volume offers a comprehensive guide to navigating the AI-driven future, especially in a post-pandemic world where hybrid learning and intelligent business models are becoming the norm.
More details
Series
Language
English
Place of publication
Bingley
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 240 mm
Width: 165 mm
ISBN-13
978-1-80686-288-7 (9781806862887)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Ankit Garg is an Assistant Professor in Marketing, Operations, and IT at Ajay Kumar Garg Institute of Management, India.
Nidhi Agarwal is a Professor at the Faculty of Social Science and Humanities, Lincoln University College, Malaysia.
Nidhi Agarwal is a Professor at the Faculty of Social Science and Humanities, Lincoln University College, Malaysia.
Content
Section I. Foundations of AI Transformation in Education and Business
Chapter 1. AI-Driven Transformation in Education and Business: Concepts, Contexts, and Sustainable Pathways; Ankit Garg, Nidhi Agarwal, T.R. Pandey, Myracle Isip de Torres, and Ritesh Kumar Singhal
Chapter 2. Applications and Reflections on AI in the Field of Education; Minghui Ye, Nidhi Agarwal, Sarika Malhotra, Rahul Singhal, and Deepti Verma
Chapter 3. AI-Driven Learning Analytics for Outcome-Based Education in Higher Education Institutions; Varun Keshari, Suyog Dekhne, Shalini Nain, Ritika Choudhary, and Orlane Marybhell D. Dimaunahan
Section II. AI in Marketing, Customers, and Business Growth
Chapter 4. Artificial Intelligence-Powered Marketing 5.0 in the South Asian Business Sector; Nabatin Naower and Md. Rahat Khan
Chapter 5. The Future of Customer Experience: AI-Powered Personalization in Marketing 5.0; Shalini Singh, Surabhi Singh, and Rahul Kumar
Chapter 6. AI Adoption in MSMEs: Opportunities, Barriers, and Strategic Readiness in Emerging Economies; Saju K, Pushpalata S. Patil, Anshuman V. Magar, Mohd Abdul Maroof, and Wilfredo D. Quijencio Jr.
Section III. AI in Operations, Supply Chains, and Digital Strategy
Chapter 7. Smart Supply Chains and Operations: Applications of Artificial Intelligence in Understanding Smart Logistics; Aditi Srivastava, Neha Verma, Bhawna Goel, Pankaj Chauhan, and Glenn Rianzares
Chapter 8. Industry 4.0 and the Future of Digital Strategy: Pathways to Digital Value Creation; Minal Saxena, Aditya Verma, Jocelyn B. Hipona, Vivek Singh Sachan, and Vipul Kumar
Chapter 9. Building Resilient Supply Chains: Collaborative Approaches to Cybersecurity for Critical Infrastructure; Shilpi Mehta, Ankit Garg, Neeta Sahu, Swati Tripathi, and Vidhi Agrawal
Section IV. AI for Sustainability, Society, and Entrepreneurship
Chapter 10. Sustainable Business Models and Artificial Intelligence for Handicraft Entrepreneurship: A Cross-Cultural Case Study; Sriparna Guha, Anirban Mandal, Sandeep Poddar, and Fedric Kujur
Chapter 11. Measuring What Matters: A Systematic Review and Future Agenda for Social Impact Assessment; Anuradha Tyagi, Sarjue Pandita, Arpita Srivastava, Sanghamitra Das, and Shashank Naruka
Section V. Human Capital, Ethics, and Governance
Chapter 12. AI-Enabled Talent Management: Transforming Recruitment, Performance, and Employee Engagement; Kriti Chaddha, Supriya Bhagat, Ashlesha Balasaheb Hangagekar, Prabhat Kumar Dwivedi, and Manu Priya Gaur
Chapter 13. Ethical, Legal, and Governance Challenges of AI Implementation in Education and Enterprises; Ashwini Mehta, Neha Soni, Aavishka Choudhary, Sarina, and Marilen Pacis
Chapter 1. AI-Driven Transformation in Education and Business: Concepts, Contexts, and Sustainable Pathways; Ankit Garg, Nidhi Agarwal, T.R. Pandey, Myracle Isip de Torres, and Ritesh Kumar Singhal
Chapter 2. Applications and Reflections on AI in the Field of Education; Minghui Ye, Nidhi Agarwal, Sarika Malhotra, Rahul Singhal, and Deepti Verma
Chapter 3. AI-Driven Learning Analytics for Outcome-Based Education in Higher Education Institutions; Varun Keshari, Suyog Dekhne, Shalini Nain, Ritika Choudhary, and Orlane Marybhell D. Dimaunahan
Section II. AI in Marketing, Customers, and Business Growth
Chapter 4. Artificial Intelligence-Powered Marketing 5.0 in the South Asian Business Sector; Nabatin Naower and Md. Rahat Khan
Chapter 5. The Future of Customer Experience: AI-Powered Personalization in Marketing 5.0; Shalini Singh, Surabhi Singh, and Rahul Kumar
Chapter 6. AI Adoption in MSMEs: Opportunities, Barriers, and Strategic Readiness in Emerging Economies; Saju K, Pushpalata S. Patil, Anshuman V. Magar, Mohd Abdul Maroof, and Wilfredo D. Quijencio Jr.
Section III. AI in Operations, Supply Chains, and Digital Strategy
Chapter 7. Smart Supply Chains and Operations: Applications of Artificial Intelligence in Understanding Smart Logistics; Aditi Srivastava, Neha Verma, Bhawna Goel, Pankaj Chauhan, and Glenn Rianzares
Chapter 8. Industry 4.0 and the Future of Digital Strategy: Pathways to Digital Value Creation; Minal Saxena, Aditya Verma, Jocelyn B. Hipona, Vivek Singh Sachan, and Vipul Kumar
Chapter 9. Building Resilient Supply Chains: Collaborative Approaches to Cybersecurity for Critical Infrastructure; Shilpi Mehta, Ankit Garg, Neeta Sahu, Swati Tripathi, and Vidhi Agrawal
Section IV. AI for Sustainability, Society, and Entrepreneurship
Chapter 10. Sustainable Business Models and Artificial Intelligence for Handicraft Entrepreneurship: A Cross-Cultural Case Study; Sriparna Guha, Anirban Mandal, Sandeep Poddar, and Fedric Kujur
Chapter 11. Measuring What Matters: A Systematic Review and Future Agenda for Social Impact Assessment; Anuradha Tyagi, Sarjue Pandita, Arpita Srivastava, Sanghamitra Das, and Shashank Naruka
Section V. Human Capital, Ethics, and Governance
Chapter 12. AI-Enabled Talent Management: Transforming Recruitment, Performance, and Employee Engagement; Kriti Chaddha, Supriya Bhagat, Ashlesha Balasaheb Hangagekar, Prabhat Kumar Dwivedi, and Manu Priya Gaur
Chapter 13. Ethical, Legal, and Governance Challenges of AI Implementation in Education and Enterprises; Ashwini Mehta, Neha Soni, Aavishka Choudhary, Sarina, and Marilen Pacis