Abstract:The healthcare industry has historically been viewed as a non-cyclical, defensive, safe haven for investors. However, the post-pandemic period has revealed the industry's susceptibility to disruptions in global supply chains…
ains and geopolitical tensions. The present research examines the effects of Geopolitical risk (GPR) on the stock performance of 76 publicly listed healthcare companies in Southeast Asia (Indonesia, Malaysia, the Philippines, Thailand, Vietnam, and Singapore) during 2015-2024. According to the Caldara and Iacoviello GPR Index, this study utilizes Panel Autoregressive Distributed Lag (ARDL) the results show that though general Geopolitical Risk and Inflation are strongly negatively impacting the stock performance, specific Geopolitical Acts (GPRA) and Threats (GPRT) are having a positive response indicating a necessity premium in which investors expect a boom in demand of medical supplies once a conflict is realized. It concludes that the healthcare industry is not a safe haven but a highly fragmented environment in which inflation poses a greater threat to companies than political instability. The study advises that investors should consider a bottom-up approach, specifically micro-resilience screening, and that corporate managers should focus on supply chain decoupling and inflation hedging to address the Resilience Gap identified in the region.
Abstract:Blockchain technology is touted for democratizing supply chains, but 30–40% of smallholder farmers are excluded from fair market participation due to information gaps and power imbalances. The first complete empirical examination…
examination of blockchain's capacity to empower disadvantaged farmers in Global South agri-food systems. The paper examines 15 large-scale implementations, including Kenyan coffee cooperatives and Indian dairy collectives, using a rigorous mixed-methods methodology. Technical scalability in resource-limited situations, governance structures that promote meaningful multi-stakeholder engagement, and quantifiable inclusion results for small-scale farmers are thoroughly examined. Comparative case study, agent-based adoption modeling, and quasi-experimental effect evaluation by Propensity Score matching reveal that blockchain's potential is not automatic nor inherent in eight nations. Techno-institutional synergy, not technological complexity, improves democracy, the research shows. Hybrid governance systems with farmer-controlled validator nodes and tokenized decision-making rights enhanced smallholder involvement by 58% and premium retention by 78% over corporate-controlled systems. However, technologically sophisticated deployments without institutional expertise frequently increase power concentration and exclusion. The blockchain viability index helps identify optimal deployment conditions for different commodities, empirical evidence challenges the idea that decentralization automatically promotes inclusion, and the inclusion-by-design framework helps policymakers embed equitable principles into decentralized agri-tech from the start. This study shows food system digitization practitioners and scholars that genuine democratization occurs when technology drives institutional transformation.
Abstract:The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.…
Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.
Abstract:This study aims to analyze the effect of investment and trade on Indonesian economic growth with a focus on the impact of the Russian-Ukrainian war. The conflict between Russia and Ukraine has caused significant global uncertainty,…
ncertainty, affecting international investment and trade flows. This study employs a quantitative approach using secondary data from various official sources. Through regression analysis, it was found that investment and trade have a significant impact on Indonesia's economic growth. However, the instability caused by the Russian-Ukrainian war affects this relationship, particularly through changes in commodity prices and disruptions in global supply chains. The results of this study provide important insights for policymakers to develop strategies that can mitigate the negative impacts of international conflicts on the national economy.
Abstract:In order to increase the resilience of the supply chains in the United States, this paper examines the risks and vulnerabilities that exist in them and suggests policy goals. By employing both numerical data and empirical…
l proof, we pinpoint the primary obstacles endangering the steadiness and effectiveness of supply networks. These risks are exacerbated by elements like globalization, technological changes, and natural calamities. We examine different policy initiatives, such as international cooperation, investment plans, and regulations, and provide recommendations to reduce these vulnerabilities and strengthen the resilience of U.S. supply chains .
Abstract:Abstract: The global transition towards sustainable food systems faces significant challenges in vegetarian food supply chains, including transparency issues, distribution inefficiencies, and quality verification problems.…
s. This research proposes VegeChain development, a decentralized marketplace ecosystem based on smart contracts designed to transform vegetarian food supply chains and accelerate Meatless, Balanced, Green (MBG) program adoption. Using mixed-method methodology integrating blockchain system design, stakeholder analysis, and economic simulation, this research develops a comprehensive technology framework combining blockchain transparency, smart contract automation, and sustainable tokenomics with novel mathematical models. The system implements dynamic pricing algorithms based on Automated Market Maker (AMM) mechanisms, multi-objective optimization for supply chain efficiency, and reputation-based consensus protocols. Simulation results demonstrate that VegeChain implementation can improve supply chain efficiency by 35%, reduce food waste by 28%, and increase consumer trust by 42% measured through validated stakeholder satisfaction surveys (n=456) using 5-point Likert scales with statistical significance p<0.001. Technical innovations include Byzantine Fault Tolerant consensus with 99.9% reliability, gas optimization achieving 67% cost reduction, and real-time quality verification algorithms with 98.7% accuracy.
Keywords: smart contracts; supply chain optimization; automated market makers; blockchain technology; sustainable tokenomics
Abstract:This research aims to analyze the implementation of the First In First Out (FIFO) system in managing raw material inventory in the kitchen of Hotel R-GINA Pemalang. The research method used is qualitative, focusing on direct…
rect observation, in-depth interviews, and document analysis related to the inventory management process. Although the FIFO system has been widely studied in the context of manufacturing and supply chains in general, this research provides new insights into its application in a hotel kitchen operational environment. The research results show that the implementation of the FIFO system in the kitchen of Hotel R-GINA Pemalang has helped improve the efficiency of raw material usage and reduce the risk of spoilage or expiration. However, several challenges were found in its implementation, such as limited storage space and the need for staff training. The conclusion of this research emphasizes the importance of the FIFO system in raw material inventory management in the hospitality industry. The proposed recommendations include improving storage infrastructure, developing a digital recording system, and ongoing training programs for kitchen staff.