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

Rogier van de Wetering*, Patrick Mikalef, Denis Dennehy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review


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.
Original languageEnglish
Title of host publicationThe Role of Digital Technologies in Shaping the Post-Pandemic World
Subtitle of host publication21st IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2022, Newcastle upon Tyne, UK, September 13–14, 2022, Proceedings
Number of pages13
ISBN (Electronic)978-3-031-15342-6
ISBN (Print)978-3-031-15341-9
Publication statusPublished - Sept 2022
EventI3E 2022: Conference on e-Business, e-Services and e-Society - Newcastle upon Tyne, United Kingdom
Duration: 13 Sept 202214 Sept 2022

Publication series

SeriesLecture Notes in Computer Science


ConferenceI3E 2022
Abbreviated titleI3E 2022
Country/TerritoryUnited Kingdom
CityNewcastle upon Tyne


  • Adaptive transformation capability
  • Ambidexterity
  • Artificial intelligence
  • Competitive performance
  • Composited-based SEM
  • COVID-19
  • Dynamic capability


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