Keywords
Abstract
Upon investigation, this research looks into how AI empowerment impacts professional identity in middle-level managers, who in turn alter their conventional role as the Implementation Actor to that of a Strategic Actor. To this end, this research features a qualitative multiple-case study design, where data gathering is done through personal interviews, observations, and analysis of organizational documents. Here, data from this research will be utilized to validate a systematic three-tier identity transformation, which involves cognitive transformation, capability transformation, and enhancement of identity status. This outcome gives a confirmation of successful development, where AI literacy development moves from 1.5 to 4.5, with a 125% development in overall competency. Lastly, for this research, a theoretical frame of reference in relation to identity will be utilized, in line with this technology development in AI, providing evidence that this disruption in technology provides malleability of identities rather than obsolescence. This outcome of this research can be employed for developing a new set of competencies that fall along technology and strategic thinking as a guide in organizations pertaining to how to manage digitization, as well as how to effectively implement human AI-related collaborations.
References
[1] Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(2), 159–182. https://doi.org/10.1002/job.2761
[2] Brock, J. K.-U., & von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61(4), 110–134.
[3] Christodoulou, I. P., Wasim, J., Reinhardt, R. J., & Ivanov, K. (2022). The strategic role of middle managers in the formulation and implementation of digital transformation projects. Strategic Change, 31(6), 613–622.
[4] Hossain, S., Fernando, M., & Akter, S. (2025). Digital leadership: Towards a dynamic managerial capability perspective of artificial intelligence-driven leader capabilities. Journal of Leadership & Organizational Studies, 32(2), 189–208.
[5] Koponen, J., Julkunen, S., Laajalahti, A., Turunen, M., & Spitzberg, B. (2025). Work characteristics needed by middle managers when leading AI-integrated service teams. Journal of Service Research, 28(1), 168–185.
[6] Lippert, I. (2024). Artificial intelligence and the future of managerial roles: A theoretical review. In Proceedings of the European Conference on Information Systems (ECIS) (pp. 1–15). Paphos, Cyprus.
[7] Mirbabaie, M., Brünker, F., Möllmann, N. R., & Stieglitz, S. (2022). The rise of artificial intelligence–understanding the AI identity threat at the workplace. Electronic Markets, 32(1), 73–99.
[8] Raisch, S., & Fomina, K. (2025). Combining human and artificial intelligence: Hybrid problem-solving in organizations. Academy of Management Review, 50(2), 441–464.
[9] Suseno, Y., Laurell, C., & Sick, N. (2018). Assessing value creation in digital innovation ecosystems: A Social Media Analytics approach. The Journal of Strategic Information Systems, 27(4), 335–349.
[10] Van Doorn, S., Georgakakis, D., Oehmichen, J., & Reimer, M. (2023). Opportunity or threat? Exploring middle manager roles in the face of digital transformation. Journal of Management Studies, 60(7), 1684–1719.
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