Franciskus Antonius Alijoyo
Universitas Katolik Parahyangan, Indonesia

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Identifying and Mapping Human Capital Risk in the State-Owned Enterprises Organization: Evidence from PT Pupuk Indonesia Margaretha Banowati Talim; Franciskus Antonius Alijoyo
Jurnal Ilmiah Akuntansi Kesatuan Vol. 14 No. 1 (2026): JIAKES Edisi Februari 2026
Publisher : Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jiakes.v14i1.4812

Abstract

The study of human capital risk remains underexplored despite its critical role in ensuring organizational success. This research aims to examine the interrelationships among enterprise risk management maturity, risk culture, human capital development, employee competencies, and leadership in mitigating human capital risk. This research employs a quantitative explanatory approach, using questionnaires as the primary data collection method to analyze the relationships among the studied variables. The findings reveal that higher enterprise risk management maturity significantly reduces human capital risk by enabling a more proactive and systematic approach to risk identification and mitigation. Leadership capability emerges as a crucial factor, alongside structured and targeted human capital development programs that enhance employee competencies. A key contribution of this study is the development of a human capital risk heat and mitigation matrix, which provides a practical framework for managing human capital-related risks. This framework is particularly relevant for State-Owned Enterprises (SOEs) in emerging markets that face complex and dynamic competitive environments. By integrating enterprise risk management maturity principles with human capital strategies, organizations can strengthen resilience, improve agility, and sustain competitiveness in a VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) environment.
The Role of AI in Risk-Based Decision-Making: A Systematic Review and Future Directions Franciskus Antonius Alijoyo
Jurnal Ilmiah Manajemen Kesatuan Vol. 14 No. 2 (2026): JIMKES Edisi March 2026
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v14i2.5079

Abstract

This study examines the role of artificial intelligence in enhancing risk-based decision-making across multiple sectors. The rapid adoption of AI has transformed organizational approaches from reactive to proactive risk management; however, gaps remain in governance, ethical readiness, and real-world implementation. Therefore, this study aims to systematically review the application of AI, identify its benefits and challenges, and analyze the relationship between AI capabilities, risk management processes, and decision outcomes. This research employs a systematic review method guided by the PRISMA framework, analyzing recent literature published between 2023 and 2025 from major academic databases. The findings indicate that AI significantly improves predictive accuracy, operational efficiency, and decision quality through advanced data processing techniques such as machine learning and deep learning. AI applications are widely observed in healthcare, finance, and environmental risk management, demonstrating strong performance in prediction and analysis. However, challenges related to data quality, model transparency, ethical risks, and governance limitations persist. This study concludes that AI should be implemented as a socio-technical system supported by robust governance frameworks and human oversight to ensure responsible, transparent, and sustainable risk-based decision-making.
A Systematic Review of Human Capital in the Digital Economy Franciskus Antonius Alijoyo; Muhammad Juliansyah Putra; Margaretha Banowati Talim; Endang Fatmawati; B.M.A.S. Anaconda Bangkara
Jurnal Ilmiah Akuntansi Kesatuan Vol. 14 No. 3 (2026): JIAKES Edisi Juni 2026
Publisher : Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jiakes.v14i3.5342

Abstract

The rapid expansion of the digital economy has transformed global production systems, labor markets, trade patterns, and governance structures. In this evolving environment, human capital has emerged as a key determinant of long-term economic competitiveness and resilience. Although studies on digital transformation and workforce development have proliferated, the existing literature remains fragmented across disciplines and geographic contexts. This study aims to conduct a systematic literature review that examines the macroeconomic relationship between human capital and the digital economy. Using the PRISMA framework, 852 records from the Scopus database were screened, yielding 40 studies included in the final synthesis. The analysis identified five dominant research themes: digital-driven economic growth, workforce transformation, digital governance and trade competitiveness, economic resilience, and sectoral digital transformation. The findings consistently demonstrate that digital infrastructure alone is insufficient to generate sustainable economic growth. Instead, outcomes depend heavily on the quality, adaptability, and innovative capacity of human capital. Human capital serves not only as a factor of production but also as a mediator and moderator that shapes the performance of the digital economy by enhancing institutional adaptability, reducing structural constraints, and supporting economic modernization.