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p-Index From 2020 - 2025
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All Journal Economics and Digital Business Review Journal of Office Administration : Education and Practice
Suryaningtyas, Arum
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Artificial Intelligence and the Digital Transformation of Archival Systems: A Bibliometric Study Suryaningtyas, Arum; Wijaya, Tony
Economics and Digital Business Review Vol. 7 No. 1 (2025): Agustus - Januari
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.2906

Abstract

The integration of Artificial Intelligence (AI) in digital archive management has become increasingly important in response to growing demands for efficiency, accessibility, and information preservation in the digital transformation era. This study analyzes the development of research related to this theme through a bibliometric approach based on Scopus data and visualizations using VOSviewer. The results reveal a surge in publications since 2020, driven by accelerated digitalization following the pandemic and the emergence of generative AI technologies such as ChatGPT. Countries such as the United States, China, and the United Kingdom dominate scholarly contributions, although institutions from developing nations like the University of South Africa also play a strategic role. Bibliometric visualizations show that AI serves as a central node closely linked to terms such as digital archives, metadata, sustainability, and ethical technology. Research evolution is shifting from technical focuses toward ethical, social, and sustainability issues. Despite the significant growth in literature, challenges remain, including gaps in global collaboration, the lack of ethical frameworks, and limited technological literacy. This study highlights the importance of interdisciplinary collaboration and the development of equitable digital policies in building sustainable intelligent archival systems.
How Organizational Commitment, Work Ability and Work Motivation influence Employee Performance in Case of Lurik Weaving MSMEs in Special Region of Yogyakarta? Lung, Rosalina; Jaidi, Nahiyah; Suryaningtyas, Arum
Journal of Office Administration : Education and Practice Vol. 5 No. 1 (2025): May
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/joaep.v5n1.p1-10

Abstract

This study aims to examine the influence of organizational commitment, work ability, and work motivation on the performance of employees in Tenun Lurik MSMEs (Micro, Small, and Medium Enterprises) in the Special Region of Yogyakarta (DIY), both partially and simultaneously. The research employs a quantitative approach with a causal associative design. The research subjects consisted of all 101 employees of Tenun Lurik MSMEs in DIY, using a saturated sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression. Instrument validity was tested using Confirmatory Factor Analysis (CFA), and reliability was tested using Cronbach’s Alpha. The research findings reveal that: (1) Organizational commitment has a positive and significant effect on employee performance, with a regression coefficient (β) of 0.723 and a contribution (∆R²) of 40.5%; (2) Work ability has a positive and significant effect on performance, with a coefficient (β) of 0.732 and a contribution of 45.6%; (3) Work motivation also has a positive and significant effect on performance, with a coefficient (β) of 0.755 and a contribution of 45.5%; (4) Simultaneously, the three variables contribute 49.9% to employee performance, while the remaining 50.1% is influenced by other variables outside this study.
Co-Authors Jaidi, Nahiyah Lung, Rosalina Tony Wijaya