Research Handbook on Artificial Intelligence and Decision Making in Organizations

Edited by Ioanna Constantiou, Mayur P. Joshi and Marta Stelmaszak

in Books from Edward Elgar Publishing

Abstract: 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.

Keywords: Business and Management; Innovations and Technology (search for similar items in EconPapers)
Date: 2024
ISBN: 9781803926209
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Chapters in this book:

Ch 1 Sourcing data for data-driven applications: foundational questions , pp 17-37

Sirkka L. Jarvenpaa

Ch 2 Data work as an organizing principle in developing AI , pp 38-57

Angelos Kostis, Leif Sundberg and Jonny Holmström

Ch 3 Natural language processing techniques in management research , pp 58-79

Mike H.M. Teodorescu

Ch 4 Captains don’t navigate with a keyboard: developing AI for naturalistic decision-making , pp 80-96

Adrian Bumann

Ch 5 Reconfiguring human-AI collaboration: integrating chatbots in welfare services , pp 97-111

Elena Parmiggiani, Polyxeni Vassilakopoulou and Ilias Pappas

Ch 6 Circumspection as a process of responsible appropriation of AI , pp 112-125

Margunn Aanestad

Ch 7 Responsible AI governance: from ideation to implementation , pp 126-142

Patrick Mikalef

Ch 8 Human judgment in the age of automated decision-making systems , pp 144-159

Dina Koutsikouri, Lena Hylving, Jonna Bornemark and Susanne Lindberg

Ch 9 Making decisions with AI in complex intelligent systems , pp 160-178

Bijona Troqe, Gunnar Holmberg and Nicolette Lakemond

Ch 10 Addressing the knowledge gap between business managers and data scientists: the case of data analytics implementation in a sales organization , pp 179-194

Stella Pachidi and Marleen Huysman

Ch 11 Constructing actionable insights: the missing link between data, artificial intelligence, and organizational decision-making , pp 195-213

Arisa Shollo and Robert D. Galliers

Ch 12 It takes a village: the ecology of explaining AI , pp 214-225

Lauren Waardenburg and Attila Márton

Ch 13 Synthetic stakeholders: engaging the environment in organizational decision-making , pp 226-239

Jen Rhymer, Alex Murray and David Sirmon

Ch 14 Interpretable artificial intelligence systems in medical imaging: review and theoretical framework , pp 240-265

Tiantian Xian, Panos Constantinides and Nikolay Mehandjiev

Ch 15 Artificial intelligence to support public sector decision-making: the emergence of entangled accountability , pp 266-281

Francesco Gualdi and Antonio Cordella

Ch 16 Contrasting human-AI workplace relationship configurations , pp 282-303

Miriam Möllers, Benedikt Berger and Stefan Klein

Ch 17 Who am I in the age of AI? Exploring dimensions that shape occupational identity in the context of AI for decision-making , pp 305-321

Anne-Sophie Mayer and Franz Strich

Ch 18 Imagination or validation? Using futuring techniques to enhance AI’s relevance in strategic decision-making , pp 322-341

Andrew Sarta and Angela Aristidou

Ch 19 Artificial intelligence as a mechanism of algorithmic isomorphism , pp 342-358

Camille G. Endacott and Paul M. Leonardi

Ch 20 Ethical implications of AI use in practice for decision-making , pp 359-375

Jingyao (Lydia) Li, Yulia Litvinova, Marco Marabelli and Sue Newell

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