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, Assistant Professor of Information Systems, Isenberg School of Management, University of Massachusetts Amherst, US

• Contents:Introduction to Artificial Intelligence and Decision Making in Organizations 1Ioanna Constantiou, Mayur P. Joshi and Marta StelmaszakPART I MAKING DECISIONS ABOUT AI1 Sourcing data for data-driven applications: foundational questions 17Sirkka L. Jarvenpaa2 Data work as an organizing principle in developing AI 38Angelos Kostis, Leif Sundberg, and Jonny Holmström3 Natural language processing techniques in management research 58Mike H.M. Teodorescu4 Captains don’t navigate with a keyboard: developing AI fornaturalistic decision-making 79Adrian Bumann5 Reconfiguring human‒AI collaboration: integrating chatbotsin welfare services 96Elena Parmiggiani, Polyxeni Vassilakopoulou, and Ilias Pappas6 Circumspection as a process of responsible appropriation of AI 111Margunn Aanestad7 Responsible AI governance: from ideation to implementation 125Patrick MikalefPART II MAKING DECISIONS WITH AI8 Human judgment in the age of automated decision-making systems 143Dina Koutsikouri, Lena Hylving, Jonna Bornemark, and Susanne Lindberg9 Making decisions with AI in complex intelligent systems 159Bijona Troqe, Gunnar Holmberg, and Nicolette Lakemond10 Addressing the knowledge gap between business managersand data scientists: the case of data analytics implementationin a sales organization 178Stella Pachidi and Marleen Huysman11 Constructing actionable insights: the missing link betweendata, artificial intelligence, and organizational decision-making 194Arisa Shollo and Robert D. Galliers12 It takes a village: the ecology of explaining AI 213Lauren Waardenburg and Attila Márton13 Synthetic stakeholders: engaging the environment inorganizational decision-making 225Jen Rhymer, Alex Murray, and David Sirmon14 Interpretable artificial intelligence systems in medicalimaging: review and theoretical framework 239Tiantian Xian, Panos Constantinides, and Nikolay Mehandjiev15 Artificial intelligence to support public sectordecision-making: the emergence of entangled accountability 265Francesco Gualdi and Antonio Cordella16 Contrasting human‒AI workplace relationship configurations 281Miriam Möllers, Benedikt Berger, and Stefan KleinPART III IMPLICATIONS OF DECISIONS MADE WITH AI17 Who am I in the age of AI? Exploring dimensions that shapeoccupational identity in the context of AI for decision-making 304Anne-Sophie Mayer and Franz Strich18 Imagination or validation? Using futuring techniques toenhance AI’s relevance in strategic decision-making 321Andrew Sarta and Angela Aristidou19 Artificial intelligence as a mechanism of algorithmic isomorphism 341Camille G. Endacott and Paul M. Leonardi20 Ethical implications of AI use in practice for decision-making 358Jingyao (Lydia) Li, Yulia Litvinova, Marco Marabelli, and SueNewell

‘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.’