University of Twente Student Theses
Exploring leadership in AI-driven digital transformations : Dealing with social implications among employees
Rorink, Mannes (2024) Exploring leadership in AI-driven digital transformations : Dealing with social implications among employees.
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| Abstract: | In a world where AI is becoming increasingly important within companies, it is essential for leaders to guide this AI-driven digital transformation in a responsible manner. This research attempts to fill in the gap in the theory of one of the three responsibility domains by highlighting current implications around the social aspects, like privacy concerns, of AI-driven digital transformations. This research shows how leaders address these social implications among employees and builds on the theory of leadership and responsible AI. This research conducts an exploratory qualitative approach to identify the relevant leadership styles, the current social implications experienced within the companies, and to see what actions are used to handle these implications. Thirteen semi-structured interviews with leaders and employees at four companies undergoing an AI-driven digital transformation were conducted and analyzed using the Gioia methodology. Differences between SMEs and larger enterprises were also discussed. A conceptual framework with three propositions to illustrate the relations is developed. This study highlights three relevant leadership styles, six responsible digital transformation actions and positive and negative implications experienced among employees. Practically, this study shows what leadership styles are most suitable during an AI-driven digital transformation and how actions stimulate or mitigate social implications. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Business Administration MSc (60644) |
| Link to this item: | https://purl.utwente.nl/essays/103685 |
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