Adapting to AI in the workplace: organizational design, leadership styles and their impact on employee skills, psychological well-being and change readiness
Johnson, Danika Bianca Gabriella (A.A. 2024/2025) Adapting to AI in the workplace: organizational design, leadership styles and their impact on employee skills, psychological well-being and change readiness. Tesi di Laurea in Organizational design and change, Luiss Guido Carli, relatore Daniele Mascia, pp. 131. [Master's Degree Thesis]
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Abstract/Index
Literature review. Artificial intelligence and its role in organizations. Leadership as a mediator in organizational change. Ethical and social implications of AI adoption. Leadership theories. Cross-cultural perspectives on AI adoption. Employee attitudes towards AI and change. Theoretical framework for AI adoption. Organizational design and AI adoption. Measuring the organizational impact of AI integration. Research methodology. Research design. Survey development and revision. Research approach. Data collection methods. Data analysis techniques. Findings. Data preparation and creation of composite variables. Multiple regression analysis. First survey: important analyses. Discussion. The role of employee readiness and skills. The role of fear. Leadership styles as mediators. Leadership styles as moderators. The complex case of laissez-faire leadership. Authoritarian leadership and fear. Sustainable leadership and fear. Leadership support and well-being. Leadership support and well-being. Comparison with company cases. Recommendations for organizations. Reskilling and competency development for AI-ready employees. Transparent communication and trust building. Leadership adaptation and style alignment.
References
Bibliografia: pp. 124-129.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Strategic Management Digital (LM-77) |
| Chair: | Organizational design and change |
| Thesis Supervisor: | Mascia, Daniele |
| Thesis Co-Supervisor: | Silveira Reis, Rosana |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 13 Feb 2026 15:23 |
| Last Modified: | 13 Feb 2026 15:23 |
| URI: | https://tesi.luiss.it/id/eprint/44827 |
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