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Journal : Journal of Applied Data Sciences

Human Capital and Sustainable Teacher Performance: Examining the Impact of Servant Leadership, Competence, and Professional Commitment in Catholic Education Budiyanto, Hendro; Djati, Sundring Pantja; Alirejo, Mohamad Subroto; Rini, Wahju Astjarjo
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.638

Abstract

This study examines the impact of servant leadership on the performance of Catholic religious teachers, with competence and professional commitment as mediating variables. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from 151 Catholic religious teachers in the Jakarta Archdiocese. The results show that servant leadership has a direct positive impact on teacher performance (β = 0.317, p 0.001) and indirectly enhances performance through competence (β = 0.199, p = 0.008) and professional commitment (β = 0.186, p = 0.002). Competence (β = 0.357, p = 0.001) and professional commitment (β = 0.340, p = 0.002) significantly improve teacher performance. The structural model explains 74.9% of the variance in teacher performance, indicating strong predictive power. This study contributes to the literature by demonstrating the mediating role of competence and professional commitment in the relationship between servant leadership and performance, particularly in Catholic education. The findings provide practical implications for school administrators and policymakers to implement servant leadership strategies that enhance teacher competence and commitment. This research introduces a comprehensive approach to improving teacher effectiveness in religious education settings, emphasizing the importance of leadership styles that prioritize service, empowerment, and professional development.
Explaining Students' Digital Entrepreneurial Behavior: The Role of Social Media Adoption in an Integrated TPB–UTAUT Model Lestari, Elissa Dwi; Kurniasari, Florentina; Natania, Davina; Kurniawan, Alvin Yuan; Budiyanto, Hendro
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.965

Abstract

Amidst digital transformation and demographic bonuses in Indonesia, the emergence of digital entrepreneurship among the younger generation has become a promising yet challenging phenomenon. The main objective of this study is to develop and empirically evaluate an integrated model that explains students' digital entrepreneurial behavior by integrating psychological and technological viewpoints and combining the Theory of Planned Behavior (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT) approaches. TPB has been widely used to predict entrepreneurial intentions and behavior. However, TPB is not yet considered to be able to capture the role of comprehensive technology adoption in the context of digital entrepreneurship. To bridge this gap, this study integrates the UTAUT approach, which focuses on technology acceptance factors. This integration addresses the shortcoming of the TPB by completely including the impact of digital technology adoption on entrepreneurship, while the UTAUT fails to include psychological motivation. PLS-SEM analyzed data from 322 student entrepreneurs who run social media-based enterprises. The study found that the TPB-UTAUT framework explains 62.2% of the variation in social media adoption (R² = 0.622) and 62.6% of the variance in entrepreneurial activity (R² = 0.626). Eight out of nine hypotheses were supported: attitudes (β = 0.330, p 0.001) and perceived behavioral control (β = 0.189, p = 0.008) significantly influenced social media adoption, while attitudes (β = 0.155, p = 0.006), perceived behavioral control (β = 0.295, p 0.001), performance expectancy (β = 0.149, p = 0.011), and social media adoption (β = 0.225, p = 0.001) directly enhanced entrepreneurial behavior. Effort expectation influenced adoption (β = 0.183, p = 0.005) but not behavior (β = 0.101, p = 0.069). The novelty of this study lies in demonstrating that among digital-native students, effort expectancy loses significance in predicting entrepreneurial behavior, indicating a generational shift in technology adoption dynamics. These insights offer theoretical enrichment and practical implications for designing digital entrepreneurship curricula and policies in developing countries.