Articles

Transparency, Algorithmic Fairness, and Employee Performance in AI-Based HR: The Moderating Role of Trust in Management

Muhammad Irvan, Bachrudin Syahroni, Moh. Yudi Mahadianto

View Author Affiliations
  • Muhammad Irvan: Universitas Swadaya Gunung Jati, Indonesia
  • Bachrudin Syahroni: Universitas Swadaya Gunung Jati, Indonesia
  • Moh. Yudi Mahadianto: Universitas Swadaya Gunung Jati, Indonesia
Published:
March 28, 2026
Pages:
101-115

Views

71

Views

Downloads

32

Downloads

Article Metrics


Share Article:

Abstract

This study examines how perceived transparency and algorithmic fairness in AI-based human resource (HR) practices relate to employee performance, and whether trust in management moderates these relationships. Data were collected through a quantitative cross-sectional survey of 152 employees from Indonesian service organizations using AI-enabled tools in HR decision processes, and analyzed using partial least squares structural equation modeling (PLS-SEM) with bootstrapping. The results show that perceived algorithmic fairness and trust in management have positive and significant relationships with employee performance, whereas perceived transparency does not have a significant direct effect. Trust in management also strengthens the positive relationship between perceived algorithmic fairness and employee performance, but does not significantly moderate the relationship between perceived transparency and employee performance. These findings suggest that organizations seeking performance benefits from AI-based HR should prioritize fairness governance and trust-building managerial practices, while designing transparency as meaningful, employee-relevant explanations rather than merely technical disclosure.

Author Biographies
Muhammad Irvan

Universitas Swadaya Gunung Jati

Management Study Program, The Faculty of Economics and Business, Universitas Swadaya Gunung Jati, Cirebon City, West Java Province, Indonesia., Indonesia.

Bachrudin Syahroni

Universitas Swadaya Gunung Jati

Management Study Program, The Faculty of Economics and Business, Universitas Swadaya Gunung Jati, Cirebon City, West Java Province, Indonesia., Indonesia.

Moh. Yudi Mahadianto

Universitas Swadaya Gunung Jati

Management Study Program, The Faculty of Economics and Business, Universitas Swadaya Gunung Jati, Cirebon City, West Java Province, Indonesia., Indonesia.

Article Identifiers
  • Article Title: Transparency, Algorithmic Fairness, and Employee Performance in AI-Based HR: The Moderating Role of Trust in Management
  • DOI: 10.59431/ijer.v6i1.729
  • Publication Date: 2026-03-28
  • Journal: Indonesian Journal Economic Review (IJER)
  • Volume: 6
  • Issue: 1
  • Pages: 101-115
References
  • Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Burhanuddin, B., Narinawati, U., Kurniawan, B., Riyanto, A., & Santy, R. D. (2026). Pengaruh Human Resource Information System (HRIS) Terhadap Kinerja Sumber Daya Manusia Dengan Efektivitas Kerja Sebagai Variabel Intervening. Syntax Literate: Jurnal Ilmiah Indonesia, 11(2), 1125–1137. https://doi.org/10.36418/syntax-literate.v11i2.63828 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Cohen-Charash, Y., & Spector, P. E. (2001). The role of justice in organizations: A meta-analysis. Organizational Behavior and Human Decision Processes, 86(2), 278–321. https://doi.org/10.1006/obhd.2001.2958 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. Journal of Applied Psychology, 86(3), 386–400. https://doi.org/10.1037/0021-9010.86.3.386 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Cropanzano, R., & Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of Management, 31(6), 874–900. https://doi.org/10.1177/0149206305279602 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Dirks, K. T., & Ferrin, D. L. (2002). Trust in leadership: Meta-analytic findings and implications for research and practice. Journal of Applied Psychology, 87(4), 611–628. https://doi.org/10.1037/0021-9010.87.4.611 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamò-Larrieux, A. (2020). Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns. Science and Engineering Ethics, 26(6), 3333–3361. https://doi.org/10.1007/s11948-020-00276-4 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Hair Jr., J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Jabagi, N., Croteau, J., Audebrand, C.-H., & Marsan, J. (2025). Do algorithms play fair? Analysing the perceived fairness of HR-decisions made by algorithms and their impact on job satisfaction and perceived organisational support. The International Journal of Human Resource Management, 36(2), 235–274. https://doi.org/10.1080/09585192.2024.2441448 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021). Algorithmic management in a work context. Big Data & Society, 8, 1–14. https://doi.org/10.1177/20539517211020332 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Kochling, A., & Wehner, M. C. (2020). Discriminated by an algorithm: A systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development. Business Research, 13(3), 795–848. https://doi.org/10.1007/s40685-020-00134-w Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/IJeC.2015100101 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Koopmans, L., Bernaards, C., Hildebrandt, V., Schaufeli, W. B., De Vet, H. C. W., & Van der Beek, A. J. (2014). Measuring individual work performance: Identifying and selecting indicators. Work, 48(2), 229–238. https://doi.org/10.3233/WOR-131659 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Koopmans, L., Bernaards, C., Hildebrandt, V., van Buuren, S., van der Beek, A. J., & de Vet, H. C. W. (2013). Development of an individual work performance questionnaire. International Journal of Productivity and Performance Management, 62(1), 6–28. https://doi.org/10.1108/17410401311285273 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Langer, M., & König, C. J. (2023). Introducing a multi-stakeholder perspective on algorithm-based human resource management: A review and agenda for future research. Human Resource Management Review, 33(1), 100881. https://doi.org/10.1016/j.hrmr.2021.100881 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Mahadianto, M. Y., Muhammad Siddiq, D., Mamat, M., Abu Bakar, H., & Hartono, E. (2025). How procedural and informational justice moderated by organizational collectivism predict employee organizational commitment. International Research Journal of Business Studies, 18(2), 159–173. https://doi.org/10.21632/irjbs.18.2.159-173 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Mayer, R. C., & Davis, J. H. (1999). The effect of the performance appraisal system on trust for management: A field quasi-experiment. Journal of Applied Psychology, 84(1), 123–136. https://doi.org/10.1037/0021-9010.84.1.123 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A survey on bias and fairness in machine learning. ACM Computing Surveys, 54(6), 115. https://doi.org/10.1145/3457607 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • 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), 115. https://doi.org/10.1145/3457607 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Meijerink, J., Boons, M., Keegan, A., & Marler, J. (2021). Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM. The International Journal of Human Resource Management, 32(12), 2545–2562. https://doi.org/10.1080/09585192.2021.1925326 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Mirbabaie, M., Langer, M., Rieskamp, J., & Hofeditz, L. (2025). Transparency fallacy: Perceived fairness in algorithmic management. Business & Information Systems Engineering. https://doi.org/10.1007/s12599-025-00963-1 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Newman, D. T., Fast, N. J., & Harmon, D. J. (2020). When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions. Organizational Behavior and Human Decision Processes, 160, 149–167. https://doi.org/10.1016/j.obhdp.2020.03.008 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Nirwana, N. K. A., Makduani, R., Marhum, U., Rahmayanti, R., & Widaningsih, R. R. A. (2023). Dampak implementasi HRIS (Human Resource Information System) terhadap kinerja karyawan. Jurnal Darma Agung, 31(6), 393–400. https://doi.org/10.46930/ojsuda.v31i6.3685 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Ochmann, J., Michels, L., Tiefenbeck, V., & Maier, C. (2024). Perceived algorithmic fairness: An empirical study of transparency and anthropomorphism in algorithmic recruiting. Information Systems Journal, 34(2), 384–414. https://doi.org/10.1111/isj.12482 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Ötting, S. K., & Maier, G. W. (2018). The importance of procedural justice in human–machine interactions: Intelligent systems as new decision agents in organizations. Computers in Human Behavior, 89, 27–39. https://doi.org/10.1016/j.chb.2018.07.022 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Savitri, T. A., Buchori, I., & Supratikta, H. (2024). Exploring the role of Human Resources Information System in employee performance management: A systematic literature review. Indonesian Development of Economics and Administration Journal, 3(1), 55–64. https://doi.org/10.70001/idea.v3i1.211 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sumaryono, S. (2023). Transformasi e-HRM (Electronic Human Resource Management) dalam Pengembangan Kualitas SDM (Sumber Daya Manusia) Berbasis Teknologi Informasi Terhadap Kinerja Karyawan. Jurnal Ekonomi Manajemen Sistem Informasi, 5(1), 50–63. https://doi.org/10.31933/jemsi.v5i1.1680 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15–42. https://doi.org/10.1177/0008125619867910 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s Alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Tong, S., Jia, N., Luo, X., & Fang, Z. (2021). The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance. Strategic Management Journal, 42(9), 1600–1631. https://doi.org/10.1002/smj.3322 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Widyastuti, T., Ramdani, Z., Alim, S., & Harlianty, R. A. (2024). The Indonesian version of Individual Work Performance Questionnaire (IWPQ): Structure factor and criterion validity. Psychological Research and Intervention, 7(1), 1–16. https://doi.org/10.21831/pri.v7i1.76457 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Yu, L., & Li, Y. (2022). Artificial intelligence decision-making transparency and employees’ trust: The parallel multiple mediating effect of effectiveness and discomfort. Behavioral Sciences, 12(5), 127. https://doi.org/10.3390/bs12050127 Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers

Issue Information

Article Details

Volume: 6
Issue: 1
Year: 2026
Published: 2026-03-28
Pages: 101-115
Section: Articles
View Full Issue
Additional Information

How to Cite

Irvan, M., Syahroni, B., & Mahadianto, M. Y. (2026). Transparency, Algorithmic Fairness, and Employee Performance in AI-Based HR: The Moderating Role of Trust in Management. Indonesian Journal Economic Review (IJER), 6(1), 101-115. https://doi.org/10.59431/ijer.v6i1.729
License

This work is licensed under a Creative Commons License.

img
img
img
img
img
Our News & Similar Articles

Similar Articles

You may also start an advanced similarity search for this article.
Author Publications

Most read articles by the same author(s)

Discover more articles by the same author(s)