Artificial Intelligence

December 3, 2025

Artificial Intelligence’s Impact on Leadership for the Administrative and Management Functions Within the U.S. Department of the Navy Organizations

Dominic Rudolpho Frank | 2024

Abstract

Artificial intelligence’s impact on leadership is a novel, complex, and poorly understood area (Döppner et al., 2019; von Krogh, 2018). While new leadership theories such as digital, e-leadership, and leadership 4.0 are starting to emerge, there is still a need to build upon the new emerging leadership theories by understanding the impact of digitization, specifically artificial intelligence, on leaders and leadership (Cortellazzo et al., 2019). The results of this phenomenological qualitative study built upon the digital leadership theory by identifying leadership traits essential in successfully leading a new area of human and technological followers. This research concluded that to successfully adopt artificial intelligence within the U.S. Department of the Navy for administrative and management functions, a digital leader must apply a human-centric approach to navigate change. The essential traits required to do so, and in order of importance, are extraversion, neuroticism, agreeableness, and conscientiousness. Openness to new experiences is also a required trait. However, due to the hierarchical nature of a government organization, it plays a significantly lesser role. Furthermore, it was also concluded that the organizational structure of a U.S. Department of the Navy organization has a lower adoption rate than that of a private industry. Means to increase the adoption rate include building trust, experiential learning, proper human and AI task assignment, and the creation of critical colleagues. These results inform and enable current and future leaders to successfully balance the behavioral needs of their human workforce with the rapid adoption of technology and innovation (Oberer & Erkollar, 2018) while also achieving strategy and organizational structure fit.

Keywords: Artificial Intelligence, Digital Leadership, Industry 4.0, Leadership

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