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Digital Strategies and Policy Challenges in Healthcare and Food Supply Chain Resilience Lazuardi, Billy; Muharam, Husni
Sinergi International Journal of Logistics Vol. 2 No. 3 (2024): August 2024
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/sijl.v2i3.729

Abstract

In an era of increasingly frequent disruptions such as natural disasters, pandemics, and geopolitical conflicts, the resilience of logistics systems has become a pressing global concern. This narrative review explores how logistics resilience is operationalized and supported across diverse contexts, with a particular focus on digital transformation and cross-sectoral strategies. The review draws upon literature sourced from Scopus, PubMed, and Google Scholar, using targeted keywords to capture studies published within the last five years. The inclusion criteria emphasized peer-reviewed empirical research related to supply chain resilience, healthcare logistics, and food systems. Findings reveal that strategies such as supply chain diversification, decentralized infrastructure, and real-time monitoring via IoT and AI significantly enhance adaptive capacity. Blockchain and big data analytics further improve transparency, accountability, and decision-making speed. However, disparities across regions remain prominent, particularly due to limited infrastructure, policy constraints, and institutional fragmentation. These systemic barriers inhibit the implementation of resilient logistics in low- and middle-income countries. The discussion highlights the importance of context-specific adaptation, regulatory reform, and the alignment of institutional systems with digital innovation. The review concludes by calling for more comparative and interdisciplinary studies to fill empirical gaps and support the development of globally relevant policy and operational frameworks. Strengthening logistics resilience demands integrated strategies that bridge technology, governance, and localized practice.
The Role of HRIS (Human Resource Information System) in Improving HR Management Efficiency Anggoro, Yudhi; Aminullah, A.; Lazuardi, Billy; Setyorini, Efi Endang Dwi; Chin, Jacky
Dinasti International Journal of Management Science Vol. 7 No. 3 (2026): Dinasti International Journal of Management Science (January - February 2026)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijms.v7i3.6175

Abstract

This study examines the role of Human Resource Information Systems (HRIS) in enhancing human resource management efficiency using a quantitative approach. In the context of digital transformation, organizations are required to optimize HR functions through the effective use of integrated information technology. HRIS facilitates the automation of administrative processes, enables real-time data availability, and supports data-driven decision-making. Data were collected from 150 HR practitioners working in various companies in the Greater Jakarta area who had implemented HRIS for at least one year, using purposive sampling. The research instrument was a structured questionnaire measured on a five-point Likert scale, which demonstrated strong validity and reliability, with Cronbach’s Alpha values exceeding 0.87 for all variables. Data analysis was conducted using SPSS version 25 and multiple linear regression after meeting classical assumption tests, including normality, multicollinearity, heteroscedasticity, and autocorrelation. The results indicate that administrative process automation (β = 0.412, p < 0.001), data-driven decision-making (β = 0.358, p < 0.001), and employee productivity improvement (β = 0.287, p < 0.01) have significant positive effects on HR management efficiency, both individually and simultaneously. The coefficient of determination (R² = 0.723) shows that these HRIS dimensions explain 72.3% of the variance in HR management efficiency. Overall, the findings confirm that HRIS implementation enhances HR operational efficiency by reducing processing time, minimizing manual errors, and improving the quality of strategic decision-making. Nevertheless, organizations must address challenges related to implementation costs, system integration, and resistance to change through strategic planning, continuous training, strong top management support, and adequate technological infrastructure.