Jalihah Md Shah
University of Malaysia Sabah, Malaysia

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SIRI’ VALUES, ISLAMIC LEADERSHIP, AND CIVIL SERVANT PERFORMANCE: THE ROLE OF NEW PUBLIC MANAGEMENT IN MAKASSAR CITY, INDONESIA Sundari Rahman; Risman; Musmulyadi; Jalihah Md Shah
Mawaizh : Jurnal Dakwah dan Pengembangan Sosial Kemanusiaan Vol. 17 No. 1 (2026): Islamic Values in Global Society
Publisher : Faculty of Da’wa and Islamic Communication, State Institute for Islamic Studies of Syaikh Abdurrahman Siddik Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32923/b8pmf990

Abstract

This article investigates the relationship between Siri’-integrated Islamic leadership, New Public Management (NPM), and the self-reported performance of civil servants in the Makassar City Government. Archived questionnaire data were available for 100 structural officials chosen purposively. The study used a cross-sectional confirmatory design and partial least squares structural equation modeling (PLS-SEM). After the surviving statistical tables were checked against one another, the leadership–NPM path was positive (β = 0.223, t = 3.200, recalculated p = 0.001, approximate 95% CI [0.086, 0.360]), as was the leadership–performance path (β = 0.323, t = 3.544, recalculated p < 0.001, approximate 95% CI [0.145, 0.501]). The indirect effect, reconstructed from the reported Sobel standard error and test statistic, was approximately 0.135 (z = 2.878, recalculated p = 0.004, approximate 95% CI [0.043, 0.227]). This pattern is consistent with partial mediation. Integrity had the highest mean among the performance indicators. That result is read as a favorable self-assessment, not as proof that Siri’ or Muraqabah caused integrity, since neither was estimated as a separate construct. The study suggests that NPM can serve as an administrative channel through which locally meaningful ethical leadership is connected with performance. Interpretation remains limited by the cross-sectional design, purposive sampling, one-government setting, self-reported measures, and the reconstruction of several statistics from archived summaries.