AI-Driven Transformation in Education and Business

Practices, Innovations, and Sustainable Futures

AvAnkit Garg,Nidhi Agarwal

Inbunden, Engelska, 2026

Del 35 i serien Advanced Series in Management

1 295 kr

Kommande

Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-12-01
Mått:165 x 240 x undefined mm
Format:Inbunden
Språk:Engelska
Serie:Advanced Series in Management
Antal sidor:324
Förlag:Emerald Publishing Limited
ISBN:9781806862887

Utforska kategorier

Sociologi inom Samhälle och politik
Affärsutveckling inom Ekonomi och Ledarskap
Teknik: allmänt inom Naturvetenskap och teknik

Mer om författaren

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.

Innehållsförteckning

Section I. Foundations of AI Transformation in Education and BusinessChapter 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 SinghalChapter 2. Applications and Reflections on AI in the Field of Education; Minghui Ye, Nidhi Agarwal, Sarika Malhotra, Rahul Singhal, and Deepti VermaChapter 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. DimaunahanSection II. AI in Marketing, Customers, and Business GrowthChapter 4. Artificial Intelligence-Powered Marketing 5.0 in the South Asian Business Sector; Nabatin Naower and Md. Rahat KhanChapter 5. The Future of Customer Experience: AI-Powered Personalization in Marketing 5.0; Shalini Singh, Surabhi Singh, and Rahul KumarChapter 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 StrategyChapter 7. Smart Supply Chains and Operations: Applications of Artificial Intelligence in Understanding Smart Logistics; Aditi Srivastava, Neha Verma, Bhawna Goel, Pankaj Chauhan, and Glenn RianzaresChapter 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 KumarChapter 9. Building Resilient Supply Chains: Collaborative Approaches to Cybersecurity for Critical Infrastructure; Shilpi Mehta, Ankit Garg, Neeta Sahu, Swati Tripathi, and Vidhi AgrawalSection IV. AI for Sustainability, Society, and EntrepreneurshipChapter 10. Sustainable Business Models and Artificial Intelligence for Handicraft Entrepreneurship: A Cross-Cultural Case Study; Sriparna Guha, Anirban Mandal, Sandeep Poddar, and Fedric KujurChapter 11. Measuring What Matters: A Systematic Review and Future Agenda for Social Impact Assessment; Anuradha Tyagi, Sarjue Pandita, Arpita Srivastava, Sanghamitra Das, and Shashank NarukaSection V. Human Capital, Ethics, and GovernanceChapter 12. AI-Enabled Talent Management: Transforming Recruitment, Performance, and Employee Engagement; Kriti Chaddha, Supriya Bhagat, Ashlesha Balasaheb Hangagekar, Prabhat Kumar Dwivedi, and Manu Priya GaurChapter 13. Ethical, Legal, and Governance Challenges of AI Implementation in Education and Enterprises; Ashwini Mehta, Neha Soni, Aavishka Choudhary, Sarina, and Marilen Pacis