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All Journal Journal of Center for Energy Policy and Human Resources Capacity Development
Dr. Abdul Wahab Samad
Institut Bisnis dan Informatika Kosgoro 1957
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science

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Adaptive Strategies in HR Performance Management in Multinational Companies: Integration, Modernization, and Knowledge Sharing Dr. Abdul Wahab Samad
Journal of Center for Energy Policy and Human Resources Capacity Development Vol. 1 No. 1 (2025): Energy Policy and HR Capacity Development
Publisher : PT. Mega Mas Abadi Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66226/journalofcphrcd.v1i1.1

Abstract

Human resource performance management in multinational enterprises (MNEs) faces complex challenges due to cultural differences, organizational structures, and global dynamics. This article examines the Integrated Performance Management (IPM) system in an international context, highlighting the importance of knowledge sharing and modernization of management structures. Through a qualitative approach, this study explores strategies for designing and implementing an effective performance system to support MNEs' strategic goals. The key findings indicate that flexibility and local adaptation are crucial factors in ensuring the success of a global performance management system while maintaining alignment with the organization's vision. The study's implications suggest that MNEs must develop more dynamic, data-driven, and context-responsive performance management policies. Furthermore, the synergy between digital technology and knowledge-sharing practices can accelerate system adaptation, enhance employee engagement, and strengthen corporate competitiveness on a global scale.
The Impact of Organizational Development and Artificial Intelligence on Decision-Making Dr. Abdul Wahab Samad
Journal of Center for Energy Policy and Human Resources Capacity Development Vol. 1 No. 1 (2025): Energy Policy and HR Capacity Development
Publisher : PT. Mega Mas Abadi Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66226/journalofcphrcd.v1i1.2

Abstract

This study's goal is to examine how Artificial Intelligence (AI) and organizational characteristics affect decision-making in organizations by using the SMART PLS approach. A quantitative strategy was used, which involved collecting primary and secondary data through questionnaires and documentation. The research included hypothesis testing, which was carried out with the use of SmartPLS software. The results show that AI has a large and positive impact, with a coefficient of 0.269. This demonstrates how AI improves the efficiency of data analysis, automates processes, and provides data-driven insights that help make decisions more quickly and accurately in changing situations. On the other hand, organizational factors had a greater impact, with a coefficient of 0.824. This highlights the significance of aspects like organizational structure, work culture, and managerial engagement in promoting strategic decisions that are in line with the organization's vision. The quality of decision-making and the overall effectiveness of an organization are improved by the combination of artificial intelligence and organizational aspects
The Utilization of Artificial Intelligence in Decision-Making and Its Effect on Organizational Advancement Dr. Abdul Wahab Samad
Journal of Center for Energy Policy and Human Resources Capacity Development Vol. 1 No. 1 (2025): Energy Policy and HR Capacity Development
Publisher : PT. Mega Mas Abadi Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66226/journalofcphrcd.v1i1.3

Abstract

This study utilizes a quantitative approach to examine the influence of decision-making (X1) and the understanding of artificial intelligence (AI) theory (X2) in organizational development (X3). Data acquired from surveys and documents were analyzed using the Partial Least Squares (PLS) approach, and SmartPLS software was used for hypothesis testing. The data suggest that decision-making has a very favorable impact on the development of organizations, but understanding AI theory has a very negative impact. This research emphasizes techniques for improving the deployment of artificial intelligence in order to promote the growth of organizations by incorporating quantitative analysis, ethical issues, and Industry 4.0 technology.
The Influence of Policies and Regulations on Food Security and Agribusiness through Human Resource Management Using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) Approach Dr. Abdul Wahab Samad
Journal of Center for Energy Policy and Human Resources Capacity Development Vol. 2 No. 1 (2025): Policies and Regulations on Food Security and Agribusiness through Human Resour
Publisher : PT. Mega Mas Abadi Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66226/journalofcphrcd.v2i1.22

Abstract

The aim of this study is to analyze the influence of policies and regulations on food security and agribusiness, while exploring the impact of other factors such as education and training, investment and resources, and technology and innovation, all within the context of Human Resource Management (HRM) using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach. The analysis results show that Policies and Regulations (X1) have a significant effect on Food Security and Agribusiness (Y1) with a path coefficient of 0.498, while Investment and Resources (X3) show a small negative influence (-0.042). This model explains 76% of the variability in Y1 (food security). Reliability and validity testing shows that most constructs have Cronbach’s Alpha, RhoA, and RhoC values greater than 0.7, indicating good reliability. This research emphasizes the importance of effective HR policies in supporting food security, although the impact of several variables such as investment and technology still needs to be further explored
Transformation of Human Resource Management in Green Economic Sustainability and Global Challenges Dr. Abdul Wahab Samad
Journal of Center for Energy Policy and Human Resources Capacity Development Vol. 2 No. 1 (2025): Policies and Regulations on Food Security and Agribusiness through Human Resour
Publisher : PT. Mega Mas Abadi Konsultan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66226/journalofcphrcd.v2i1.24

Abstract

This study aims to analyze the influence of external factors on the management and development of human resources (HR) within organizations. The findings indicate that technology, green economy, and global social policies significantly affect HR strategies, while business innovation has not yet shown a direct significant impact. Social entrepreneurship is also proven to play a role in shaping socio-environmental policies that influence HR management at the organizational level. Based on these results, it is recommended to integrate innovation and HR strategies, enhance HR capacity to address global disruptions, and mainstream sustainability values in HR practices. Further studies are advised to adopt qualitative approaches, mediation or moderation models, and longitudinal designs to deepen the understanding of the dynamic relationships among variables. The findings contribute both theoretical and practical insights for developing an adaptive, sustainable, and globally responsive HR management system
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