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All Journal Kinerja JDM (Jurnal Dinamika Manajemen) Journal of Economics, Business, & Accountancy Ventura Jurnal Manajemen Atma Jaya Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal MIX : Jurnal Ilmiah Manajemen DeReMa (Development Research of Management) Jurnal Manajemen Binus Business Review Journal of Management and Business Review Jurnal Bisnis dan Manajemen International Research Journal of Business Studies (E-Journal) Prosiding Working Papers Series In Management Jurnal Akuntansi BALANCE: Jurnal Akuntansi, Auditing dan Keuangan Journal of Business and Applied Management Jurnal Muara Ilmu Ekonomi dan Bisnis Jurnal Ilmiah Manajemen Kesatuan Jurnal Manajemen Jurnal Manajemen dan Pemasaran Jasa International Research Journal of Business Studies Balance: Jurnal Akuntansi, Auditing, dan Keuangan
Sylvia Diana Purba
Universitas Katolik Indonesia Atma Jaya
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Social Sciences

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THE INFLUENCE OF ARTIFICIAL INTELLIGENCE CAPABILITIES ON EMPLOYEES’ PRODUCTIVITY AMONG INFORMATION TECHNOLOGY STAFF IN JAKARTA Sylvia Diana Purba; Pedro Lybernando Cornellius
BALANCE: Jurnal Akuntansi, Auditing dan Keuangan Vol. 22 No. 2 (2025): BALANCE: Jurnal Akuntansi, Auditing dan Keuangan
Publisher : Fakultas Ekonomi dan Bisnis Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/balance.v22i2.7398

Abstract

This study aims to analyze the influence of AI tangible resources, AI intangible resources, and AI human skills on employee productivity. The research was conducted on 52 employees’ productivity in the information technology (IT) sector who have already implemented  AI in their daily tasks. The data were collected through social media platforms such as WhatsApp, X (formerly Twitter), and Instragram. The data were analyzed using SPSS version 29. The results indicate that AI tangible resources have a significant positive effect on employees’ productivity in the IT sector. Likewise, AI intangible resources also have significant positive effects. However, AI human skills have a significant negative effect on employees’ productivity. Overall, AI tangible resources, AI intangible resources, and AI human skills have a significant simultaneous effect on employees’ productivity
The Interplay of Workload and Motivation in Predicting Burnout Among Healthcare Workers in Tourism-Based Clinics Putra, Jeffrey Ariesta; Purba, Sylvia Diana
Jurnal Ilmiah Manajemen Kesatuan Vol. 14 No. 1 (2026): JIMKES Edisi January 2026
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v14i1.4985

Abstract

Increasing service demands in tourism-based health facilities heighten the risk of burnout among healthcare workers. This study investigated the effects of workload and work motivation on burnout among healthcare workers in tourism-based clinics in Indonesia, focusing on emotional exhaustion, depersonalization, and personal accomplishment. A cross-sectional analytical design was applied to 124 doctors and nurses within the Klinik OMSA Medic Bali network. Workload was assessed using NASA-TLX, motivation with the Nursalam Motivation Scale, and burnout with the Maslach Burnout Inventory. Data analysis included descriptive statistics, Pearson correlations, multiple linear regression, and mediation testing using Hayes PROCESS Model 4 with 5,000 bootstrap samples. Emotional Exhaustion was the most prevalent burnout dimension. Results showed that workload significantly predicted higher levels of emotional exhaustion and depersonalization. Work motivation was significantly associated with lower emotional exhaustion and depersonalization and higher personal accomplishment, indicating a protective role. However, motivation did not mediate the relationship between workload and any burnout dimension, as indirect effects were not significant. Workload emerged as the main contributor to burnout, while motivation functioned as a supportive but non-mediating factor. Organizational strategies aimed at workload management and motivation enhancement are recommended to reduce burnout and sustain healthcare service quality.
THE INFLUENCE OF ARTIFICIAL INTELLIGENCE CAPABILITIES ON EMPLOYEES’ PRODUCTIVITY AMONG INFORMATION TECHNOLOGY STAFF IN JAKARTA Purba, Sylvia Diana; Cornellius, Pedro Lybernando
BALANCE: Jurnal Akuntansi, Auditing dan Keuangan Vol. 22 No. 2 (2025): BALANCE: Jurnal Akuntansi, Auditing dan Keuangan
Publisher : Fakultas Ekonomi dan Bisnis Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/balance.v22i2.7398

Abstract

This study aims to analyze the influence of AI tangible resources, AI intangible resources, and AI human skills on employee productivity. The research was conducted on 52 employees’ productivity in the information technology (IT) sector who have already implemented  AI in their daily tasks. The data were collected through social media platforms such as WhatsApp, X (formerly Twitter), and Instragram. The data were analyzed using SPSS version 29. The results indicate that AI tangible resources have a significant positive effect on employees’ productivity in the IT sector. Likewise, AI intangible resources also have significant positive effects. However, AI human skills have a significant negative effect on employees’ productivity. Overall, AI tangible resources, AI intangible resources, and AI human skills have a significant simultaneous effect on employees’ productivity
Co-Authors , Tjhia Lian Nie Albertus James Amanda Restu Adzani Andhie Novien Dwi Ananta Andriani Nugraha Benedicta Evienia Prabawanti Budianto, Erin Chaterine, Chaterine Christine Winstinindah Sandroto Christy, Diona Clarissa, Bella Cornellius, Pedro Lybernando Difa Anggita Difa Anggita, Difa Dyona Christy Efendi Efendi Endang Sulistyaningsih Endang Sulistyaningsih Ferdy Ardiansyah Florentino Ariza Florentino Ariza, Florentino Geat, Johan Lim Kii Hardjono, Saebani Harjono, Saebani Helena Winata Hilarius Deonaldy Wiranatha Hubertus Denito, Hubertus James, Albertus Kevin Kristiawan Elison Lapian, Nessa Desnari Levi Nilawati Levi Nilawati, Levi Lidya Vania Lidya Vania, Lidya Nainggolan, Jonathan Christian Matthew Nugroho, Yohanes Arianto Budi Pedro Lybernando Cornellius Pramono, Herry Putra, Jeffrey Ariesta Rinardus Bayu Dewantoro Tikurura, Ritha Triawan Susetyo Yacob, Yusman Yola Widya