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All Journal SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Anggriani Maharani Sulaeman
Pattimura University
Education Social Sciences Other

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DIGITAL GOVERNANCE AND COORDINATION CAPABILITIES AS PREDICTORS OF EMPLOYEE PERFORMANCE IN THE MALUKU PROVINCIAL SECRETARIAT Anggriani Maharani Sulaeman; Mohamad Arsad Rahawarin; Zainal Abidin Rengifurwarin
SOSIOEDUKASI Vol 15 No 3 (2026): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v15i3.9664

Abstract

This study examines the associations of Digital Governance Capability and Digital Coordination Capability with employee performance at the Regional Secretariat of Maluku Province. The study responds to a practical context in which ongoing electronic-based government initiatives coexist with reported challenges in monitoring, reporting, administrative workflows, and cross-unit coordination. A quantitative cross-sectional explanatory design was employed with 89 respondents. Data were collected through a five-point Likert questionnaire and analyzed using validity and reliability tests, descriptive statistics, regression diagnostics, and multiple linear regression. All measurement items were valid, and the three constructs showed high internal consistency, with Cronbach’s Alpha values of 0.934 for Digital Governance Capability, 0.933 for Digital Coordination Capability, and 0.943 for Employee Performance. The regression equation was Y = 13.284 + 0.530X1 + 0.445X2. Digital Governance Capability was positively associated with employee performance (t = 5.468; p < 0.001), as was Digital Coordination Capability (t = 4.644; p < 0.001). The joint model was significant (F = 38.741; p < 0.001) and explained 47.4% of the variance in employee performance (R² = 0.474). These findings indicate that stronger digital governance and coordination capabilities are associated with higher reported employee performance. Because the design is cross-sectional and self-reported, the coefficients should be interpreted as associations rather than causal effects.
Co-Authors Mohamad Arsad Rahawarin Zainal Abidin Rengifurwarin