Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53498
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Artificial Intelligence (AI) is reshaping organizations, decision-making processes, and managerial roles. This paper synthesizes recent literature and builds a conceptual framework describing how AI adoption transforms leadership styles—particularly transformational, transactional, servant, distributed, and ethical leadership. It argues that AI augments leaders’ capabilities (data-driven decision-making, predictive insights) while introducing new demands (AI governance, ethical accountability, human–AI teaming competencies). Drawing on recent industry reports and peer-reviewed studies, the paper proposes a mixed-method empirical design to test how AI maturity moderates the relationship between leadership style and organizational outcomes (innovation, employee engagement, ethical compliance). Practical recommendations for leaders and HR are provided, along with research avenues and limitations. Key implications include the need for leaders to develop AI literacy, ethical stewardship, and new sociotechnical competencies to remain effective in AI-pervasive workplaces. (McKinsey & Company)
KEYWORDS
Publication Date
6/10/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
6
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...