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Understanding Organizational Tensions During Artificial Intelligence Transformation
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0002-8993-4306
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0003-3133-1112
Jönköping University, Jönköping International Business School, JIBS, Business Administration. Jönköping University, Jönköping International Business School, JIBS, Centre for Family Entrepreneurship and Ownership (CeFEO). Jönköping University, Jönköping International Business School, JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE).ORCID iD: 0000-0002-8203-4655
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2022 (English)In: Proceedings of The Annual Meeting of The Academy of Management, 2022, Vol. 2022, No. 1, Academy of Management , 2022, Vol. Vol. 2022, no 1, p. 12745-Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

AI has the potential to be a disruptive technology causing paradigm shifts in industries and greatly impacting both operational and strategic decision making. Adopting AI technologies requires proactively engaging both the technical and social system of the organization as processes, workflows, as well as individual employees, are influenced. This paper explores potential tensions between the social and technical systems in the early change process of AI transformation to understand the nature and degree of AI transformation. We do this by analyzing in-depth inquiry from 23 focus groups involving 112 white-collar industrial employees in large multinational industrial firms using a change management perspective. Our study revealed nine categories of tensions divided into tensions between the current and future state and tensions between humans and machines. This stresses the need to adopt a socio-technical perspective in the attempt to understand organizations approaching AI and provides practical implications for organizations considering adopting AI technologies.

Place, publisher, year, edition, pages
Academy of Management , 2022. Vol. Vol. 2022, no 1, p. 12745-
Series
Academy of Management Proceedings, ISSN 0065-0668, E-ISSN 2151-6561 ; Vol. 2022, No. 1
National Category
Business Administration Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-58642DOI: 10.5465/AMBPP.2022.12745abstractOAI: oai:DiVA.org:hj-58642DiVA, id: diva2:1703976
Conference
82nd Annual Meeting of the Academy of Management, 5-9 August, Seattle, Washington, USA, 4-10 August 2022, Virtual Platform
Available from: 2022-10-17 Created: 2022-10-17 Last updated: 2022-10-17Bibliographically approved

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Engström, AnnikaMohlin, AliceEdh Mirzaei, NinaPittino, DanielJohansson, Anette

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Engström, AnnikaMohlin, AliceEdh Mirzaei, NinaPittino, DanielJohansson, Anette
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JTH, Supply Chain and Operations ManagementJIBS, Business AdministrationJIBS, Centre for Family Entrepreneurship and Ownership (CeFEO)JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE)JIBS, Media, Management and Transformation Centre (MMTC)
Business AdministrationProduction Engineering, Human Work Science and Ergonomics

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