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Algorithmic Leadership through Artificial Intelligence in Organizational Strategy: A Case Study of Papua Pegunungan Province, Indonesia

Author

Listed:
  • Rudihartono Ismail

    (Universitas Amal Ilmiah Yapis Wamena)

  • Mangesti Sedjati

    (Universitas Brawijaya)

  • Saling

    (Faculty of Economics and Business, Universitas Yapis Papua)

  • Lulu Indriaty

    (Sekolah Tinggi Ilmu Ekonomi Yapis Merauke)

  • Nurhidayah Yahya

    (Accounting Research Institute, University Teknologi MARA)

  • Iylia Dayana Mohamed Izwan

    (Management and Science University)

Abstract

The emergence of algorithmic leadership based on Artificial Intelligence (AI) is reshaping organizational strategies, particularly in the context of the New Autonomous Regions (DOB) in Papua. This article explores how AI-driven leadership models can optimize governance and organizational success in Papua's DOB, where digital transformation, infrastructure development, and socio-political stability are key factors. By integrating machine learning, predictive analytics, and AI-based decision-making, algorithmic leadership can enhance efficiency, transparency, and strategic foresight. The study employs a mixed-method approach by analyzing governance frameworks, stakeholder adaptation, and the challenges of AI adoption in Papua's DOB. The findings indicate that AI-based leadership promotes data-driven decision-making, addresses bureaucratic inefficiencies, and accelerates economic growth. However, challenges such as technological readiness, ethical concerns, and local community acceptance remain central issues. The article proposes a hybrid leadership model that combines algorithmic intelligence with human decision-making to ensure inclusivity, cultural adaptation, and sustainable governance in Papua.

Suggested Citation

  • Rudihartono Ismail & Mangesti Sedjati & Saling & Lulu Indriaty & Nurhidayah Yahya & Iylia Dayana Mohamed Izwan, 2025. "Algorithmic Leadership through Artificial Intelligence in Organizational Strategy: A Case Study of Papua Pegunungan Province, Indonesia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(10), pages 1906-1915, October.
    • Handle: RePEc:bcp:journl:v:9:y:2025:i:10:p:1906-1915
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    References listed on IDEAS

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    1. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    2. Bernd W. Wirtz & Jan C. Weyerer & Carolin Geyer, 2019. "Artificial Intelligence and the Public Sector—Applications and Challenges," International Journal of Public Administration, Taylor & Francis Journals, vol. 42(7), pages 596-615, May.
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