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Conference on e-Business, e-Services and e-Society

I3E 2022: The Role of Digital Technologies in Shaping the Post-Pandemic World pp 25–37Cite as

Artificial Intelligence Ambidexterity, Adaptive Transformation Capability, and Their Impact on Performance Under Tumultuous Times

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13454))

Abstract

Over the past two years, scholars have increasingly paid attention to firms’ capability to adapt to their increasingly turbulent business ecosystem environments. This study embraces the dynamic capabilities theory, uses ideas from the accelerated corporate transformation, and posits that adaptive transformation capability, driven by ambidextrous artificial intelligence (AI) use, i.e., routine and innovative use in practice, serves as a mechanism for firms to gain superior organizational performance under COVID-19. Using a composite-based structural equation model (SEM) approach, we use survey data from 257 C-level practitioners with key decision-making roles and experience in AI and digital transformation initiatives. We used this data to analyze the theorized relationships. Outcomes show that the ambidextrous use of AI positively enhances a firm’s adaptive transformation capability. This capability, in turn, fully mediates the impact of AI ambidexterity on competitive performance during COVID-19. These outcomes have important theoretical and practical implications.

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Change history

  • 06 September 2022

    The last name “Mikalef” of the chapter author “Patrick Mikalef” name was unfortunately published with a typo error. The initially published version has now been corrected.

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Author information

Authors and Affiliations

  1. Faculty of Science, Open University, Heerlen, The Netherlands

    Rogier van de Wetering

  2. Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway

    Patrick Mikalef

  3. School of Management, Swansea University, Swansea, Wales

    Denis Dennehy

Authors
  1. Rogier van de Wetering
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  2. Patrick Mikalef
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  3. Denis Dennehy
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Corresponding author

Correspondence to Rogier van de Wetering .

Editor information

Editors and Affiliations

  1. Newcastle University Business School, Newcastle upon Tyne, UK

    Savvas Papagiannidis

  2. Newcastle University Business School, Newcastle upon Tyne, UK

    Eleftherios Alamanos

  3. Newcastle University Business School, Newcastle upon Tyne, UK

    Suraksha Gupta

  4. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  5. University of Turku, Turku, Finland

    Matti Mäntymäki

  6. University of Agder, Kristiansand, Norway

    Ilias O. Pappas

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van de Wetering, R., Mikalef, P., Dennehy, D. (2022). Artificial Intelligence Ambidexterity, Adaptive Transformation Capability, and Their Impact on Performance Under Tumultuous Times. In: Papagiannidis, S., Alamanos, E., Gupta, S., Dwivedi, Y.K., Mäntymäki, M., Pappas, I.O. (eds) The Role of Digital Technologies in Shaping the Post-Pandemic World. I3E 2022. Lecture Notes in Computer Science, vol 13454. Springer, Cham. https://doi.org/10.1007/978-3-031-15342-6_3

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  • DOI: https://doi.org/10.1007/978-3-031-15342-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15341-9

  • Online ISBN: 978-3-031-15342-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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