Research Handbook on Artificial Intelligence and Decision Making in Organizations

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, Isenberg School of Management, University of Massachusetts Amherst, US

Contents:

Introduction to Artificial Intelligence and Decision Making in Organizations 1
Ioanna Constantiou, Mayur P. Joshi and Marta Stelmaszak

PART I MAKING DECISIONS ABOUT AI
1 Sourcing data for data-driven applications: foundational questions 17
Sirkka L. Jarvenpaa
2 Data work as an organizing principle in developing AI 38
Angelos Kostis, Leif Sundberg, and Jonny Holmström
3 Natural language processing techniques in management research 58
Mike H.M. Teodorescu
4 Captains don’t navigate with a keyboard: developing AI for
naturalistic decision-making 79
Adrian Bumann
5 Reconfiguring human—AI collaboration: integrating chatbots
in welfare services 96
Elena Parmiggiani, Polyxeni Vassilakopoulou, and Ilias Pappas
6 Circumspection as a process of responsible appropriation of AI 111
Margunn Aanestad
7 Responsible AI governance: from ideation to implementation 125
Patrick Mikalef

PART II MAKING DECISIONS WITH AI
8 Human judgment in the age of automated decision-making systems 143
Dina Koutsikouri, Lena Hylving, Jonna Bornemark, and Susanne Lindberg
9 Making decisions with AI in complex intelligent systems 159
Bijona Troqe, Gunnar Holmberg, and Nicolette Lakemond
10 Addressing the knowledge gap between business managers
and data scientists: the case of data analytics implementation
in a sales organization 178
Stella Pachidi and Marleen Huysman
11 Constructing actionable insights: the missing link between
data, artificial intelligence, and organizational decision-making 194
Arisa Shollo and Robert D. Galliers
12 It takes a village: the ecology of explaining AI 213
Lauren Waardenburg and Attila Márton
13 Synthetic stakeholders: engaging the environment in
organizational decision-making 225
Jen Rhymer, Alex Murray, and David Sirmon
14 Interpretable artificial intelligence systems in medical
imaging: review and theoretical framework 239
Tiantian Xian, Panos Constantinides, and Nikolay Mehandjiev
15 Artificial intelligence to support public sector
decision-making: the emergence of entangled accountability 265
Francesco Gualdi and Antonio Cordella
16 Contrasting human—AI workplace relationship configurations 281
Miriam Möllers, Benedikt Berger, and Stefan Klein

PART III IMPLICATIONS OF DECISIONS MADE WITH AI
17 Who am I in the age of AI? Exploring dimensions that shape
occupational identity in the context of AI for decision-making 304
Anne-Sophie Mayer and Franz Strich
18 Imagination or validation? Using futuring techniques to
enhance AI’s relevance in strategic decision-making 321
Andrew Sarta and Angela Aristidou
19 Artificial intelligence as a mechanism of algorithmic isomorphism 341
Camille G. Endacott and Paul M. Leonardi
20 Ethical implications of AI use in practice for decision-making 358
Jingyao (Lydia) Li, Yulia Litvinova, Marco Marabelli, and Sue
Newell