Xiangcheng Meng

Global supply chains face unprecedented complexity as organizations must simultaneously achieve sustainability objectives and operational resilience amid evolving risk landscapes. Despite extensive research, the absence of systematic knowledge synthesis has limited understanding of how these dual imperatives intersect. This study conducts the first comprehensive scientometric analysis of global supply chain risk management research, examining 1228 peer-reviewed articles from major databases published from 2016 to June 2025. The study employed co-occurrence analysis, temporal burst detection, and network visualization to map the intellectual structure and evolutionary dynamics of this field. Our study reveals four distinct research clusters: risk factor identification (traditional and unconventional threats), environmental and social sustainability integration, technology-driven challenges, and innovative risk management methodologies. Temporal analysis demonstrates significant research acceleration post-2020, driven by pandemic disruptions, with emerging focus on cyberattacks, geopolitical conflicts, and ESG compliance challenges. The findings reveal critical gaps at the sustainability-resilience intersection, particularly paradoxical tensions where short-term resilience measures may compromise long-term sustainability goals. We propose four priority research directions: digital transformation frameworks balancing sustainability-resilience trade-offs, ESG-integrated early warning systems, adaptive governance mechanisms for unconventional risks, and policy frameworks addressing regulatory complexity. This systematic knowledge mapping provides theoretical foundations for future research and practical guidance for supply chain managers navigating dual sustainability-resilience objectives in an uncertain global environment.

(1) Background: The demand for electricity in rural and urban areas has given rise to numerous related industries, resulting in perilous working conditions and a significant number of safety accidents for workers. In recent years, there has been an increasing focus on improving occupational safety and health in the electric power industry. However, the lack of a systematic review or the integration of disaggregated studies has hindered our understanding of the state of the development of this research field. This study aims to provide bibliometric and scientometric network analyses and explore the untapped potential of digital pathways. (2) Methods: A bibliometric analysis focused on the research cooperation, author keywords, and journal co-citation patterns of studies was carried out, while a temporal trend analysis was employed to identify topical focuses and trends for further research on the occupational safety and health of electrical workers. Papers were searched for across three databases, namely Web of Science, Scopus, and Google Scholar. Using “occupational safety and health” and “electric power industry” as keywords, the articles published from 1991 to 2022 were retrieved. (3) Results: A total of 608 articles published from 1991 to 2022 were collected for the bibliometric analysis. Four clusters were successfully recognized in the search results after adopting the process of cluster analysis based on a total of 608 articles. As for the countries, most of the publications and citations came from the United States. The most frequent keywords were safety, exposure assessment, electrocution, and electrical injury. (4) Conclusions: This is the first study to highlight occupational safety and health in the electric power industry and provides valuable insights into the knowledge structure, emerging trends, and future directions through the lens of digital pathways. This study sheds light on the importance of digital pathways in enhancing occupational safety and health practices within the industry. The findings contribute to the fields of occupational safety management and health promotion, providing a foundation for future research and interventions aimed at improving safety conditions and promoting the well-being of personnel in the electric power industry.

Considering the increasing number in construction accidents in Mainland China and Hong Kong, research on improving the safety performance of construction personnel is important, given the essential role it plays in occupational safety development in industries. The present study aimed to assess the improving channels of safety performance through individual perception and organizational collectivity in a quantitative way by integrating safety motivation as the transition role between individual and organizational levels. The questionnaire survey was conducted with 180 participants from Hong Kong and 197 responses from Mainland China. Structural equation modeling was applied to investigate and compare the direct, indirect, and mediating effects among different safety constructs. This study is unique, as it firstly integrates the theories of personal cognition and group interaction together with the mechanism of safety performance development. Such integration can increase the effectiveness of reducing the unsafety of construction workers at both individual and organizational levels, thereby reducing the numbers of construction accidents, and promoting healthy occupational development of the personnel.

The construction industry has rapidly developed with continuous prosperity in Hong Kong and Mainland China, although accidents still occur with unacceptable frequency and severity. For promoting the safety issue of workers in construction industry, safety citizenship behavior (SCB) and safety consciousness (SC) were considered two influential constructs and further studied with integration of sociodemographic theories by scholars. However, no study has compared the SC and SCB of construction workers in terms of the demographic influence between Mainland China and Hong Kong. To fill this research gap, this study investigated the territorial difference between these two regions by conducting a cross-sectional questionnaire survey with recruitment of 253 Mainland construction workers and 256 Hong Kong construction workers. Significant similarities and differences of SC and SCB performance were revealed in terms of the workers with different genders, education levels, weekly working hours, and ages. This study provides insights into the comparison of demographic influence on SC and SCB of construction workers between Hong Kong and Mainland China, which is unique as it can yield useful managerial knowledge relevant to the personal safety of targeted groups of construction workers with particular demographic characteristics in both regions and contribute the implementation of safety interventions in line with the specific distinction in the territorial aspect.

The construction industry is recognized as a high-risk industry given that safety accidents and personnel injuries frequently occur. This study provided a systematic and quantitative review of existing research achievements by conducting social network approach to identify current states and future trends for the occupational safety of construction personnel. A total of 250 peer-reviewed articles were collected to examine the research on safety issues of workers in construction industry. Social network approach was applied to analyze the interrelationship among authors, keywords, and citations of these articles using VOS viewer and CitNetExplorer. A knowledge structure map was drawn using main path analysis (MPA) towards the collected papers, which was implemented by Pajek. In line with the findings of social network analysis, five research groups, and six keyword themes were identified in accordance with the times of cooperation of researchers and correlation among keywords of the papers. Core papers were identified by using main path analysis for each research domain to represent the key process and backbone for the corresponding area. Based on the finding of the research, significant implications and insights in terms of current research status and further research trends were provided for the scholars, thus helping generate a targeted development plan for occupational safety in construction industry.