Analysis of the readiness of algorithm leadership implementation in the context of performance improvement in East Java Provincial government agencies
Keywords:
Algorithmic Leadership, Implementation Readiness, Information Technology, Infrastructure, Organizational Performance, Policy, RegulationAbstract
The limitation of efficiency and accuracy in decision-making in East Java Provincial government agencies is a leadership problem caused by the lack of technology and data-based systems. This study aims to determine the level of readiness of East Java Provincial government agencies in implementing algorithm-based leadership. The methodology used in this study is a quantitative approach with data collection techniques through questionnaires distributed to 173 officials in the Regional Apparatus Work Unit (SKPD) of East Java Province. Data analysis used descriptive statistics and correlation tests to identify the relationship between organizational readiness and performance factors. The results of the study show that the level of readiness of government agencies in implementing algorithm leadership is quite good, with factors such as regulations, policies, and infrastructure getting high average scores. However, several aspects still need improvement, especially related to the understanding of algorithmic leadership styles and the continuity of strategic planning during leadership changes. The effect of implementation readiness on improving organizational performance is also significant, especially in terms of fast data processing and more timely decision-making. The suggestions are to enhance the understanding of government apparatus related to algorithm-based leadership, strengthen coordination between institutions, and improve routine training related to information technology infrastructure to support more effective implementation.
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Zhao, Y., Wang, X., & Zhang, Z. (2020). The Role of Algorithm-Based Leadership in Organizational Decision Making. Journal of Leadership and Management, 16(3), 200–215.
Aminah, S., & Wardani, D. K. (2018). Readiness Analysis of Regional Innovation Implementation. Jurnal Bina Praja, 10(1), 13–26. https://doi.org/10.21787/jbp.10.2018.13-26
Andrews, L. (2018). Public administration, public leadership and the construction of public value in the age of the algorithm and ‘big data.’ Public Administration, 97(2), 296–310. https://doi.org/10.1111/padm.12534
Balbaa, M. E., & Abdurashidova, M. S. (2024). the Impact of Artificial Intelligence in Decision Making: a Comprehensive Review. EPRA International Journal of Economics, Business and Management Studies, 11(2), 27–38. https://doi.org/10.36713/epra15747
Caiza, G., Sanguña, V., Tusa, N., Masaquiza, V., Ortiz, A., & Garcia, M. V. (2024). Navigating Governmental Choices: A Comprehensive Review of Artificial Intelligence’s Impact on Decision-Making. Informatics, 11(3), 64. https://doi.org/10.3390/informatics11030064
Estlund, D. (2008). Democratic Authority: A Philosophical Framework. Princeton University Press.
Harms, P. D., & Han, G. (2019). Algorithmic Leadership: The Future is Now. Journal Of Leadership Studies. https://doi.org/DOI:10.1002/jls.21615
Hastuti, E. S., & Sugiarsi, S. (2023). Analisis Tingkat Kesiapan Penerapan Rekam Medis Elektronik Di Puskesmas Wilayah Kabupaten Boyolali. Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI), 11(2). https://doi.org/10.33560/jmiki.v11i2.570
Jaweria, Ghias, S., & Muhammad, J. (2023). Role of Artificial Intelligence on Leadership Decision Making: A Perspective of Business Sector Organization. Annals of Human and Social Sciences, 4(3). https://doi.org/10.35484/ahss.2023(4-iii)18
Kastawan, P. W., Wiharta, D. M., & Sudarma, M. (2018). Implementasi Algoritma C5.0 pada Penilaian Kinerja Pegawai Negeri Sipil. Majalah Ilmiah Teknologi Elektro, 17(3), 371. https://doi.org/10.24843/mite.2018.v17i03.p11
Kolkman, D. (2020). The usefulness of algorithmic models in policy making. Government Information Quarterly, 37(3), 101488. https://doi.org/10.1016/j.giq.2020.101488
Laureti, T., Palermo, M., & Ripa, M. (2020). Challenges in AI Implementation in Government Agencies: An Empirical Analysis. International Journal of Public Administration, 43(7), 601–617.
Levy, K., Chasalow, K. E., & Riley, S. (2021). Algorithms and Decision-Making in the Public Sector. Annual Review of Law and Social Science, 17, 309–334. https://doi.org/10.1146/annurev-lawsocsci-041221-023808
Makkulawu, A., Kessi, P., Daeng, A., Feronica, P., & Muchsidin, F. (2025). The Role of Leadership in Effective and Efficient Human Resource Management Decision Making. 8(2), 509–524.
McGuire, J., & De Cremer, D. (2023). Algorithms, leadership, and morality: why a mere human effect drives the preference for human over algorithmic leadership. AI and Ethics, 3(2), 601–618. https://doi.org/10.1007/s43681-022-00192-2
McKinsey. (2018). Artificial Intelligence: The Next Digital Frontier. McKinsey Global Institute.
Medlama, M., Vianney, L. S., Piring, R., Sentosa, I., & Annamalah, S. (2025). The Impact of Artificial Intelligence on Leadership Decision-Making: Opportunities and Challenges. Communications on Applied Nonlinear Analysis, 32(9), 1878–1885. https://doi.org/10.1063/5.0184807
Novitasari, D., Supiana, N., Supriatna, H., Agung Ali Fikri, M., & Asbari, M. (2021). the Role of Leadership in Innovation Performance: Transactional Versus Transformational Style. JIMFE (Jurnal Ilmiah Manajemen Fakultas Ekonomi), 07(01), 27–36. https://doi.org/10.34203/jimfe.v7i1.2981
Riwukore, J. R., & Habaora, F. (2022). Pelatihan Penilaian Model Kepemimpinan Transformasional Oleh Pejabat Struktural Instansi Pemerintah Kota Kupang Pada Badan Keuangan Dan Aset Daerah Kota Kupang. Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat, 7(2), 274–181. https://doi.org/10.36312/linov.v7i2.699
Riyanto, S., & Hatmawan, A. A. (2020). Metode Riset Penelitian Kuantitatif Penelitian di Bidang Manajemen, Teknik, Pendidikan dan Ekperimen. Yogyakarta: Deepublish. https://doi.org/10.1017/CBO9781107415324.004
Roth, S., Butler, J., & Thomas, H. (2018). Artificial Intelligence for Public Administration: Benefits and Risks. Public Administration Review, 78(6), 896–909.
Sarmawa, I. W. G. (2020). Gaya Kepemimpinan Transformasional Dan Transaksional Serta Hubungannya Dengan Kinerja Karyawan (Tinjauan Teoritis Dan Empiris). Jurnal Ilmiah Manajemen Dan Bisnis, 2(2), 61–67. https://doi.org/10.38043/jimb.v2i2.2335
Sharma, G. D., Yadav, A., & Chopra, R. (2020). Artificial intelligence and effective governance: A review, critique and research agenda. Sustainable Futures, 2(November 2019), 0–5. https://doi.org/10.1016/j.sftr.2019.100004
Simon, H. A. (1965). Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization.
Sudirman, Aditya, A., & Mustakim, R. (2023). Penerapan Algoritma Path-Goal dengan Skala Likert dalam Mengidentifikasi Faktor-Faktor Kepemimpinan yang Mempengaruhi Motivasi Kerja Karyawan. Buletin Sistem Informasi Dan Teknologi Islam, 4(3), 195–201.
Zhao, Y., Wang, X., & Zhang, Z. (2020). The Role of Algorithm-Based Leadership in Organizational Decision Making. Journal of Leadership and Management, 16(3), 200–215.
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Published
2025-07-29
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Wahyudi, W. (2025). Analysis of the readiness of algorithm leadership implementation in the context of performance improvement in East Java Provincial government agencies . Journal of Management Science (JMAS), 8(3), 594–602. Retrieved from https://exsys.iocspublisher.org/index.php/JMAS/article/view/713
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