Some error occured while loading the Quick View. Please close the Quick View and try reloading the page.
As the Fourth Industrial Revolution reshapes the global landscape, this timely volume presents cutting-edge research at the intersection of technology, business, and society. It explores how emerging technologies—particularly artificial intelligence—are transforming industries, organisational practices, and everyday life. Through a blend of theoretical inquiry and practical case studies, Business and Society in the Fourth Industrial Revolution examines how innovation can be harnessed to address complex global challenges, while also interrogating the ethical, structural, and societal implications of rapid technological change.
The chapters span conceptual analysis, qualitative interviews, virtual ethnography, archival research, and case studies. The book’s focus is diverse, from children's online privacy to multi-agent market dynamics, from employee moral disengagement to enterprise AI deployment.
This collection is essential reading for scholars, practitioners, and policymakers seeking to navigate and shape the future of business and society in an era defined by digital transformation.
David M. Wasieleski is a Professor of Business Ethics and Management at Duquesne University and Affiliate Research Professor at the ICN Business School in Nancy, France. Wasieleski has published in many major academic journals in the areas of business ethics, decision-making, and sustainability.
Wenqi Zhou is an Associate Professor of Information Systems and Technology at Duquesne University and Affiliate Research Faculty at Carnegie Mellon University IDeaS and CASOS. Zhou’s research on e-commerce, AI agents, and online biases and information transparency has been published in major business and interdisciplinary journals.
Part 1. Ethics and Technology
Chapter 1. The Ethics of Technology and AI: Access, Use, and Ownership; Duane Windsor
Chapter 2. Ethics Deferred: How Digital Ethical Frameworks Enable Moral Disengagement in the Implementation of Workplace Technology; Vanessa Hill
Chapter 3. Protecting Youth Online in the Digital Age: Issues, Challenges, and Stakeholders; Kristen L. Walker and J. Craig Andrews
Part 2. AI Ecosystems
Chapter 4. AI-Augmented Learning and Collective Intelligence: A Transactive Systems Perspective; Emily B. DeJeu and Anita Williams Woolley
Chapter 5. Multi-AI Ecosystems with Open World Industry Applications; Hepeng Li, Yuhong Liu, Jun Yan, Jie Gao, and Xiaoou Yang
Part 3. Generative AI
Chapter 6. Generative AI in the Workplace: How Organizations Are Managing the Risks; Pinar Ozturk, Kathleen S. Hartzel, and Wenqi Zhou
Chapter 7. Algorithmic Targets and Tactical Innovation: Examining How Movement Strategy Adapts to Non-Human Opponents; Saheli Nath
Chapter 8. Bridge the Gen AI Divide: From Strategy to Implementation; Bishal Dasgupta and Samudra Dasgupta