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ID Asep Koswara ID Umi Narimawati ID Bobi Kurniawan

Abstract

The rapid diffusion of algorithmic decision making in management has reshaped how organizations evaluate employees, allocate resources, and exercise managerial authority. While such systems promise efficiency and objectivity, growing evidence shows that they also generate serious epistemological, ethical, and governance challenges. This paper aims to critically examine algorithmic decision making in management from an Islamic ethical and philosophical perspective, focusing on its epistemological, ontological, and axiological implications. Using a qualitative and conceptual research design, the study applies interpretive and normative analysis to major theories in management, artificial intelligence ethics, and Islamic moral philosophy. The results indicate that algorithmic decision making is built on epistemic assumptions that overstate objectivity, ontological ambiguities that risk displacing human moral agency, and axiological limitations that undermine justice, accountability, and human dignity. Drawing on Islamic ethical principles, particularly maqāid al-sharīʿah, justice (ʿadl), and trust (amanah), the study proposes a normative framework that re-centers human responsibility and ethical governance in the use of algorithmic systems. In conclusion, algorithmic decision making should be treated as a decision-support mechanism rather than an autonomous authority, and its legitimacy in management depends on its alignment with Islamic ethical values and the preservation of human moral agency.

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How to Cite
Koswara, A., Umi Narimawati, & Bobi Kurniawan. (2026). Algorithmic Decision Making in Management: A Philosophical Inquiry from an Islamic Ethical Perspective . Journal of Islamic Civilization, 7(2), 131–148. https://doi.org/10.33086/jic.v7i2.8471
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References

Ali, F., Bouzoubaa, K., Gelli, F., Hamzi, B., & Khan, S. (2025). Islamic Ethics and AI: An Evaluation of Existing Approaches to AI using Trusteeship Ethics. Philosophy & Technology, 38(3), 120. https://doi.org/10.1007/s13347-025-00922-4

Alotaibi, H. M. S., Balachandran, W., & Hunaiti, Z. (2025). Ethical Integration of AI in Healthcare Project Management: Islamic and Cultural Perspectives. AI, 6(12), 307. https://doi.org/10.3390/ai6120307

Auda, J. (2025). Maqasid as a basis for an Integrated Framework and Methodology. JasserAuda.Net.

Auda, Jasser. (2008). Maqasid al-shariah as philosophy of Islamic law : a systems approach. International Institute of Islamic Thought.

Az-Zuhaili, Wahbah. (2010). Fiqih Islam Wa Adillatuhu. Gema Insani.

Binns, R. (2022). Human Judgment in algorithmic loops: Individual justice and automated decision‐making. Regulation & Governance, 16(1), 197–211. https://doi.org/10.1111/rego.12358

Blaikie, N. W. H. ., & Priest, Jan. (2019). Designing social research : the logic of anticipation. Polity.

Creswell, J. W. . (2018). Research design. Qualitative, quantitative, and mixed methods approaches. SAGE Publications.

Decker, M. C., Wegner, L., & Leicht-Scholten, C. (2025). Procedural fairness in algorithmic decision-making: the role of public engagement. Ethics and Information Technology, 27(1), 1. https://doi.org/10.1007/s10676-024-09811-4

Denzin, N. K., & Lincoln, Y. S. (2018). The SAGE handbook of qualitative research (5th ed.). SAGE Publications.

Woollacott, E. (2025, December 18). EU lawmakers want to limit the use of ‘algorithmic management’ systems at work. IT Pro.

Eshaghi Gordji, M., Askari, G., & Park, C. (2022). A new behavioral model of rational choice in social dilemma game. Journal of Neurodevelopmental Cognition, 1(1), 42–50. https://doi.org/10.52547/jncog.2022.103424

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5

Giddens, A. (1984). The constitution of society: Outline of the theory of structuration. University of California Press.

Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305–360. https://doi.org/10.1016/0304-405X(76)90026-X

Kamali, M. H., Eriouiche, M., & Mohadi, M. (2024). مقاصد الشريعة والاجتهاد. Journal of Contemporary Maqasid Studies, 3(1), 145–174. https://doi.org/10.52100/jcms.v3i1.134

Kannike, U. M. M., & Fahm, A. O. (2025). Exploring The Ethical Governance of Artificial Intelligence from An Islamic Ethical Perspective. Jurnal Fiqh, 22(1), 134–161. https://doi.org/10.22452/fiqh.vol22no1.5

Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at Work: The New Contested Terrain of Control. Academy of Management Annals, 14(1), 366–410. https://doi.org/10.5465/annals.2018.0174

Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S., Wildhaber, I., & Kasper, G. (2019). The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity. Journal of Business Ethics, 160(2), 377–392. https://doi.org/10.1007/s10551-019-04204-w

Lusiana, Harun, M., Fathimah, E., & Indah Haryani Daulay, W. (2024). Challenges and Threats of Artificial Intelligence in Maqasid Sharia Perspective. KnE Social Sciences. https://doi.org/10.18502/kss.v9i2.15004

MacCarthy, M. (2019). Research Fairness in algorithmic decision-making. Brookings Institution.

Martin, K. E. (2017). Algorithms: Owning Mistakes & Designing Accountability. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3056692

Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2022). A Survey on Bias and Fairness in Machine Learning. ACM Computing Surveys, 54(6), 1–35. https://doi.org/10.1145/3457607

Miller, B. (2021). Is Technology Value-Neutral? PhilPapers: Online Research in Philosophy.

Mir, Dr. K. H., & Anjum, Dr. Md. R. (2025). Universal Ethics for a Divided World: Maqasid al-Shari’ah and the Pursuit of Human Brotherhood. Journal of Islamic Studies and Culture. https://doi.org/10.15640/jisc.v13p3

Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501–507. https://doi.org/10.1038/s42256-019-0114-4

Mohadi, M., & Tarshany, Y. (2023). Maqasid Al-Shari’ah and the Ethics of Artificial Intelligence. Journal of Contemporary Maqasid Studies, 2(2), 79–102. https://doi.org/10.52100/jcms.v2i2.107

Möhlmann, M., Zalmanson, L., Henfridsson, O., & Gregory, R. W. (2021). Algorithmic Management of Work on Online Labor Platforms: When Matching Meets Control. MIS Quarterly, 45(4), 1999–2022. https://doi.org/10.25300/MISQ/2021/15333

Mufidah, M., Hartiwiningsih, H., & Isharyanto, I. (2024). Harmonization of Artificial Intelligence (Ai) in Indonesia: Exploration of Technology And Ethics in Islam. Law and Justice, 9(1), 89–109. https://doi.org/10.23917/laj.v9i1.5190

Mulyanto, A., & Akastangga, M. D. F. (2025). Pandangan Islam Terhadap Kemajuan Teknologi Informasi. Kaunia: Integration and Interconnection Islam and Science Journal, 21(1), 1–9. https://doi.org/10.14421/kaunia.4893

Nikmah, M., & Nasikhin. (2025). God-Conscious AI: Maqasid al-Shari’ah in Algorithmic Design. Salam Institue Islamic Studies (SIIS) , Vol. 2 No. 1.

OECD. (2023). OECD AI Principles overview. https://oecd.ai/en/ai-principles

Papagiannidis, E., Mikalef, P., & Conboy, K. (2025). Responsible artificial intelligence governance: Areview and research framework. The Journal of Strategic Information Systems, 34(2), 101885. https://doi.org/10.1016/j.jsis.2024.101885

Peterson, C. (2025). Automated ethical decision, value-ladenness, and the moral prior problem. AI and Ethics, 5(2), 1583–1594. https://doi.org/10.1007/s43681-024-00482-x

Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072

Samidi, S., Karnadi, M. F. R., & Nurfadilah, D. (2018). The Role of Maqasid Al-Shariah and Maslahah in Ethical Decision Making: A Study of Professionals in Indonesia. International Journal of Business Studies, 1(2), 85–92. https://doi.org/10.32924/ijbs.v1i2.23

Schoeffer, J. (2022). A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making. CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1–6. https://doi.org/10.1145/3491101.3503811

Searle, J. R. (1983). Intentionality: An essay in the philosophy of mind. Cambridge University Press.

Sinaga, F. Y. (2025). Etika Penggunaan Kecerdasan Buatan Dalam Perspektif Islam: Mitigasi Risiko Dan Optimalisasi Manfaat. Tarbiyah Bil Qalam : Jurnal Pendidikan Agama Dan Sains, 9(1). https://doi.org/10.58822/tbq.v9i1.305

Sanusi, T. O. (2025). Maqasid Al-Shariah as an Evaluative Framework for the Digitalisation of Islamic Education. Permata : Jurnal Pendidikan Agama Islam, 6(1). https://doi.org/10.47453/permata.v6i1.3114

Tolan, S., Miron, M., Gómez, E., & Castillo, C. (2019). Why Machine Learning May Lead to Unfairness. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 83–92. https://doi.org/10.1145/3322640.3326705

Weber, M. (1978). Economy and society: An outline of interpretive sociology (G. Roth & C. Wittich, Eds.). University of California Press.

Whittlestone, J. N. R. A. Anna. (2019). Ethical and Societal Implications of Data and Artificial Intelligence : a roadmap for research. Nuffield Foundation.

Wieringa, M. (2020). What to account for when accounting for algorithms. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 1–18. https://doi.org/10.1145/3351095.3372833

Asep Koswara, Universitas Komputer Indonesia, Bandung, Indonesia

Umi Narimawati, Universitas Komputer Indonesia, Bandung, Indonesia

Bobi Kurniawan, Universitas Komputer Indonesia, Bandung, Indonesia