The rapid incorporation of artificial intelligence (AI) into business processes has changed managerial functions drastically across nearly all sectors. This theoretical study seeks to determine what competencies leaders need to have in order to successfully govern AI within their organizations today. Utilising a systematic narrative review of 34 different types of research documents – such as peer-reviewed journal articles, practitioner reports, government policy documents and foundational monographs published from 2015-2024 – we present the Algorithmic Leadership Competency (ALC) Model as our contribution. The ALC Model consists of three domains: (1) Algorithmic Literacy, (2) Ethical Accountability, and (3) Human-Centered Facilitation. These three competency areas are interrelated and mutually supportive. The ALC Model is theoretically grounded in the organizational behaviour, data science ethics, and AI governance literature and mapped to existing empirical studies as well as significant regulatory frameworks, including the newly developed European Union AI Act (2024). We also consider the evidence supporting each competency area, compare the ALC Model to previous frameworks and outline implications for leadership development programs, HR policies and organisation-wide AI governance structures. This study recognises certain limitations including the lack of primary empirical data and presents a structured agenda for future quantitative and qualitative research to validate the ALC model.
| Mualliflar | Sirojiddinova Shahrizoda Davronovna, Сирожиддинова Шахризода Давроновна, Sirojiddinova Shahrizoda Davronovna |
|---|---|
| Jurnal | Меҳнат иқтисодиёти ва инсон капитали |
| Nashr sanasi | 2026-06-29 |
| Jild | 5 |
| Son | 2 |
| Betlar | 55-69 |
| Til | Ingliz |
| DOI | 10.55439/lehc/vol5iss2/299 |
DOI: 10.55439/lehc/vol5iss2/299 · Maqolaning asl sahifasi
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