The Nature of Leadership in Artificial Intelligence Environments: Reconceptualizing Human and Machine Collaboration
Shawn G. Sejera and
Mihai Bocarnea
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Shawn G. Sejera: Regent University, Virginia Beach, VA, USA
Mihai Bocarnea: Regent University, Virginia Beach, VA, USA
REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, 2022, vol. 23, issue 2, 264-283
Abstract:
An exploration regarding the nature of leadership in organizations that have implemented artificial intelligence technologies in an effort to improve organizational performance is presented with specific discussions about the role, process of development, identification of favorable organizational attributes, and resulting leadership changes necessary in the application of artificial intelligence technology. This qualitative phenomenological study used leadership and artificial intelligence as the conceptual frameworks for guiding research. The critical incident technique (CIT) served as the method for collecting observations of behavior and discovering practical solutions to complex organizational problems. Research findings may offer leaders information they can use to more effectively lead their organization’s efforts in artificial intelligence environments. Implications for further research regarding the dynamic of leadership, artificial intelligence technology, and the future of organizational leadership development are noted.
Keywords: leadership; Artificial Intelligence; innovation; organizational development; technological change (search for similar items in EconPapers)
JEL-codes: O1 O2 O3 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:rom:rmcimn:v:23:y:2022:i:2:p:264-283
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