Research Handbook on Artificial Intelligence and Decision Making in Organizations

Research Handbook on Artificial Intelligence and Decision Making in Organizations (Research Handbooks in Business and Management series)
Author: Ioanna Constantiou (Editor), Mayur P. Joshi (Editor), Marta Stelmaszak (Editor) & 0 more
Publisher finelybook 出版社:‏ Edward Elgar Publishing
Publication Date 出版日期:‏ 2024-03-10
Language 语言: English
Print Length 页数: 392 pages
ISBN-10: 1803926201
ISBN-13: 9781803926209

Book Description


Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.

Bringing together cutting-edge scholarship on the many issues and complexities surrounding the use of AI in decision making for organizations, this enlightening Research Handbook illustrates how technology is intertwined with organizational processes and outcomes. Contributors examine human-AI collaboration in welfare services, responsible AI governance, AI systems in medical imaging, and the ethical implications of AI use in practice. Furthermore, the editors propose an integrative framework for decision making in organizations that encompasses making decisions about AI, with AI, and the implications of decisions made by AI.

The Research Handbook will be essential reading for students, academics and researchers in business analytics, information systems, organizational innovation, organizational behavior, and organizational and occupational psychology. It will also be a valuable resource for business managers and AI engineers.

Review

‘In this extremely timely and very well-researched volume, Constantiou, Joshi, and Stelmaszak have assembled a distinguished group of scholars to explore how AI is shaped by and shapes organizational decisions, and with what consequences. A must read for scholars of modern technology in organizations.’ — Natalia Levina, New York University, US

‘I think this research handbook is very timely and the editors have put together an elite set of contributing authors which reads like a who’s who list and who provide very informative and carefully crafted chapters on various facets of AI and decision making. They deal with the relationship between AI and organizational decision making in a very grounded non-hyped way. They draw on the information systems discipline but maintain a socio-technical perspective as the backbone of the handbook. It is an excellent reference compendium for scholars, but also provides useful connections for practice. I find to be “spot-on” the guiding integrative framework used in the book to connect AI and organizational decision making through what the editors have called “decision redistribution.” The emphasis on the notion that AI and human decision-makers are not viewed as conflicting, but rather considered holistically in relation to each other is something we really need to internalize wisely as we go forward into the AI future. And this research handbook is showing us the way!’ — Omar A. El Sawy, University of Southern California, US

‘The recent dawning of a new AI era raises many management questions. There is much work to do to answer these questions, and this book offers vital early thinking that can help researchers and managers move toward a better understanding of AI and the challenges it presents.’ — Robert D. Austin, Ivey Business School, Western University, Canada

‘This timely Handbook is a compelling call for rethinking the meaning of rationality in decision-making in the era of AI. A must have if one wants to navigate the unchartered waters of AI and decision-making in the years to come.’ — Paolo Quattrone, University of Manchester, UK

About the Author

Edited by Ioanna Constantiou, Full Professor, Department of Digitalization, Copenhagen Business School, Denmark, Mayur P. Joshi, Assistant Professor of Information Systems, Telfer School of Management, University of Ottawa, Canada and Marta Stelmaszak, Assistant Professor of Information Systems, The School of Business, Portland State University, US

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