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All Journal Golden Ratio of Human Resource Management Journal of Digital Business and Global Economy
Victorianus Mario Isdianto Bimo Adi
Universitas Negeri Jakarta
Economics, Econometrics & Finance Social Sciences

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Privacy Concerns and AI Hallucination Risks in Generative AI Continuance for Self-Directed Learning Victorianus Mario Isdianto Bimo Adi; Osly Usman
Journal of Digital Business and Global Economy Vol. 2 No. 3 (2026): Journal of Digital Business and Global Economy
Publisher : Asosiasi Transformasi Digital Dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64243/JODIGBI.02.3.10

Abstract

The determinants for continuance intention to use generative artificial intelligence (GenAI) for self-directed learning activities are explored. The research incorporates the Technology Acceptance Model (TAM), adding privacy concern and perceived risk of AI hallucination as factors that hinder adoption, and attitude toward using GenAI as a mediator. The study employed a quantitative method by using an online survey that was sent to respondents who were postgraduate students and employees of government institutions involved in using GenAI for self-directed learning. The 100 valid responses were analyzed with the Partial Least Squares Structural Equation Modeling (PLS-SEM) method by using the software SmartPLS 4. The results show that attitude towards the GenAI use has a significant positive impact on continuance intention, and Privacy concern has a significant negative impact on continuance intention. The perceived risk of AI hallucination, however, has no significant impact on attitude and continuance intention. Furthermore, the results suggest that the relationship between privacy concern and continuance intention is not mediated by attitude, and the same applies for the relationship between AI hallucination risk and continuance intention. These findings indicate that the issue of data privacy outweighs technical errors or inaccuracies in the GenAI system in determining continued use for self-directed learning. The study highlights the importance of strengthening privacy protection policies and improving AI literacy to support sustainable GenAI usage in educational contexts.
Optimizing Civil Servant Performance Management through Internal Compliance Distance Learning Program Victorianus Mario Isdianto Bimo Adi; Nabila Syafira; C. Cedaryana
Golden Ratio of Human Resource Management Vol. 6 No. 2 (2026): March - July
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grhrm.v6i2.2272

Abstract

While in public sector organizations, internal compliance is regarded as one of the main human resource control mechanisms in supporting the implementation of effective public sector performance management, it is suspected that there is weak empirical evidence of whether or not distance learning as a scaled-up technique for building competency is effective in producing behavioral change among the Civil Servants (ASN), let alone effective in its ability to produce performance outcomes. The purpose of this study is to conduct an evaluation of the Distance Learning Program (PJJ) implementation and effectiveness in terms of skill change at the level of behaviors after training at these Directorate General of Customs and Excise. The study used a quantitative method that used a 360-degree questionnaire and asked 29 alumni, their supervisors and colleagues to complete the questionnaire at a level 3 (behavioral) post-training evaluation approach, instrument validity was confirmed by Cronbach's Alpha testing, competitor change was found by comparing the pre-test and post-test results. The results indicate that average competency score of respondents before undergoing the training ranged from 7.43–8.22 and after training ranged from 9.17–9.49 in various sub-activities, while respondents also supported that the training was able to transfer knowledge and change their behavior in the workplace. These findings theoretically contribute to the limited literature on the relationship between the outcomes of distance learning and the performance management of civil servants' compliance efforts in the public sector and provide policymakers evidence on how to continue developing and scaling distance-based training in the scope of integrated civil servant competency development strategies.
Co-Authors C. Cedaryana Nabila Syafira Osly Usman