ABSTRACT Energy security performs a decisive position in the economic sustainability and societal development. As Taiwan attempts for sustainable expansion, decoupling for energy security is fundamental and requires advanced information technologies and infrastructure application, especially in connection to the Industry 5.0 era. However, the two concepts proxy manifest the multi‐dimensional nature with vast literature; there is an absence of a strategic roadmap for the implementation tactics. This study presents a systematic data‐driven analysis combining text mining, the fuzzy Delphi method, interpretive structural modelling, fuzzy decision‐making trial and evaluation laboratory, and analytic network process to outline a distinct energy security roadmap and unveil Industry 5.0 contributions. There are 22 valid indicators generated and allocated into five aspects. The causal interrelation model and strategic roadmap are obtained. The technological advancement and integration, environmental and climate actions, and public demand and perception are categorised as the causative aspects. The top causal indicators are indicated as climate change mitigation, cyber‐physical systems, energy investment, public perception, and supply–demand side technologies. This study enriches the theoretical literature and serves as a valuable practical locus to improve energy security in the Industry 5.0.

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is gradually valued due to its high prevalence, high risk, and high mortality. Alternative to the polysomnography (PSG) diagnosis, the proposed method assesses the subject's degree of illness considering the supply chain and Industry 5.0 requirement efficiently and accurately. This article uses the blood oxygen saturation (SpO2) signal count of the number of apnea or hypoventilation events during the sleep of the subject, calculating the apnea-hypopnea index (AHI) and the subject's disease level. SpO2signals are used to extract 35-D features based on the time domain, including approximate entropy, central tendency measure, and Lempel–Ziv complexity to accelerate the diagnosis process in supply chains. The feature selection process is reduced from 35 to 7 dimensions that benefits to the implementation in the practical supply chains in Industry 5.0 by extracting the extracted features. This article applies Pearson correlation coefficient selection, based on minimum redundancy-maximum correlation algorithm selection, and a wrapper based on the backward search algorithm. The accuracy rate is 86.92%, and the specificity is 90.7% under the selected random forest classifier. A random forest classifier was used to calculate the AHI index, and a linear regression analysis was performed with the AHI index obtained from the PSG. The result reaches a 92% accuracy rate in assessing the prevalence of OSAHS, satisfying the industrial deployment.

Voluntary engagement (VE) creates a sense of coordination and harmonization to share knowledge. The eminence of knowledge sharing (KS) for supply chain (SC) innovation is undeniable to initiate development in products, services, and operations. However, KS process is undergoing challenges in sustaining KS engagement by SC partners. Hence, recent researchers call for the need to address this gap in the literature to assess VE barriers. This paper studies the causal relationship of VE barriers on two MNCs, i.e., Toyota and Suzuki, via the fuzzy DEMATEL approach. The case examination findings indicate culture's alignment as the prime cause of VE and leadership commitment has stronger interdependence. The core problems which need elimination are fear of losing the job, prominence and opportunistic behavior. The study concludes that companies need to instigate the natural attributes of employees’ VE by setting-up earnest guidelines to practice free information and knowledge flow.

This study provides a data-driven analysis that illustrates a clear renewable energy depiction in sustainable energy security and unveils the regional issues due to the literature solely occupies energy security concept in the descriptions view, and renewable energy differences related to regions are rarely discussed. A hybrid method is proposed to valid those indicators and shows the trend of future studies. This study enriches the challenges and opportunities by contributing to understand the fundamental knowledge of renewable energy in sustainable energy security frontier, conveyance directions for future study and investigation, and assessment on global renewable energy position and regional disparities. There are valid 19 indicators, in which energy demand, energy policy, renewable resources, smart grid, and uncertainty representing the future trends. World regional comparison includes 115 countries/territories and categorized into five geographical regions. The result shows that those indicators have addressed different issues in the world regional comparison.

The significance of sustainability is continually expanding among researchers, policymakers, and decision makers. To improve the efficiency of value chain activities such as manufacturing, distribution, and consumption, an innovative research solution has been proposed: ‘Sustainable Consumption and Production (SCP) through Information and Communication Technology (ICT)'. Sustainability through ICT is significant for the industry in terms of its sustainable effects on production processes, environment, and community. This research seeks to gauge ICT—as knowledge management—for industries in the successful adoption and execution of SCP. In so doing, potential key ICT-based factors to SCP are identified from the literature and experts' feedback. The present work suggests a decision framework for assessing the interrelationships among and between the ICT oriented factors by utilizing graph theory and matrix approach. Data for this work derives from three automotive companies operating in India. From findings, ‘Governance and Management', is the topmost factor for the adoption of sustainable consumption and production in value chains. The relationship among the index values is further evaluated using Spearman's rank correlation coefficient. This research can facilitate practitioners, government agencies, and customers for a better understanding of ICT-driven factors in managing resources, reducing waste, and improving cost, which would further help in meeting sustainable development goals of the United Nations of responsible consumption and production and innovation, industry, and infrastructure.