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All Journal SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Journal of Mathematics Instruction, Social Research and Opinion
Komala, Evi
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Humanities Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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THE IMPACT OF ARTIFICIAL INTELLIGENCE–DRIVEN PERFORMANCE MANAGEMENT ON EMPLOYEE PRODUCTIVITY: THE MEDIATING ROLE OF JOB CRAFTING IN A MULTI-SECTOR STUDY ACROSS INDONESIA: DAMPAK MANAJEMEN KINERJA BERBASIS KECERDASAN BUATAN TERHADAP PRODUKTIVITAS KARYAWAN: PERAN MEDIASI JOB CRAFTING DALAM STUDI MULTI-SEKTOR DI SELURUH INDONESIA Komala, Evi; Widuri, Intan Lidiya; Mohammad Adrian; Hastini, Ria Yuli; Hartati, Sri
SOSIOEDUKASI Vol 14 No 4 (2025): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

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Abstract

The rapid adoption of artificial intelligence (AI) in performance management systems has transformed how organizations evaluate and enhance employee performance. However, empirical evidence on how AI-driven performance management improves employee productivity across diverse industrial sectors remains limited, particularly in emerging economies such as Indonesia. This study aims to examine the effect of AI-driven performance management on employee productivity, with job crafting serving as a mediating variable. Using a quantitative explanatory survey design, data were collected from 170 employees across multiple industries in Indonesia that have implemented AI-based performance management systems. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that AI-driven performance management has a positive and significant direct effect on employee productivity. Additionally, AI-driven performance management significantly enhances job crafting behaviors, which in turn positively influence employee productivity. Mediation analysis confirms that job crafting partially mediates the relationship between AI-driven performance management and employee productivity. These findings suggest that the productivity-enhancing potential of AI-based performance management is strengthened when employees are enabled to proactively redesign their work. This study contributes to the literature on technology-driven human resource management and provides practical insights for organizations seeking to integrate AI systems with employee-centered work practices.
The Effect of Organizational Learning and Transformational Leadership on Employee Performance with Job Satisfaction as A Mediation Variable Komala, Evi; Erlina, Rr. Erlina; Rusdi, Zainnur M.
Journal of Mathematics Instruction, Social Research and Opinion Vol. 5 No. 1 (2026): March
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v5i1.1130

Abstract

This study aims to analyze the effect of organizational learning and transformational leadership on the performance of civil servants in Bandar Lampung City, with job satisfaction serving as a mediating variable. The results of the data analysis indicate that organizational learning has a positive and significant effect on civil servant performance, suggesting that a strong learning culture and mastery of technology enhance employee performance. Transformational leadership is found to have a significant, negative direct effect on performance, suggesting that its effectiveness depends on support from other mechanisms. Furthermore, job satisfaction has been shown to play a significant mediating role in the relationships between organizational learning and performance, as well as between transformational leadership and performance. These findings emphasize that improving civil servant performance is not solely determined by structural and leadership factors, but is also strongly influenced by employee job satisfaction. Therefore, public organizations need to manage organizational learning processes and leadership styles in a balanced manner to sustainably enhance job satisfaction and employee performance.
Co-Authors Erlina, Rr. Erlina Hastini, Ria Yuli Mohammad Adrian Rusdi, Zainnur M. Sri Hartati Widuri, Intan Lidiya