Research Handbook on Artificial Intelligence and Decision Making in Organizations
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.
‘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 Research 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!’
-奥马尔·a·厄尔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 Research 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
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