Ali Naseri, Vajihe Hoshyar,
Volume 13, Issue 3 (9-2023)
Abstract
Introduction: The COVID-19 pandemic caused many businesses to face problems and created job insecurity, leaving many workers and employees stressed about losing their jobs. Therefore, the current research aimed to analyze the impact of workplace safety management measures on the behavior of organizational citizens concerning the role of job insecurity and the perceived risk of COVID-19 among the employees of Mashhad Social Security Organization.
Material and Methods: The current applied research is a descriptive survey. The research population is all 560 employees of the social security organization of Mashhad city. The sample size was estimated based on Morgan’s table using a convenience sampling method, with a total number of 225. The data collection instrument was Wu et al.’s (2022) standard questionnaire, used to check construct validity and confirmatory factor analysis. Cronbach’s alpha coefficient and composite reliability were used to measure reliability, and the results showed that the questionnaire was adequately valid and reliable. The data analysis also involved structural equation modeling conducted in Smart PLS.
Results: The results showed that workplace safety management measures have an impact on organizational citizenship behavior and the perceived risk of COVID-19. Also, the perceived risk of COVID-19 has a positive effect on perceived job insecurity. Yet, the perceived risk of COVID-19 does not influence organizational citizenship behavior and does not mediate the relationship between workplace safety management measures and organizational citizenship behavior. Workplace safety management measures have an impact on perceived job insecurity, and job insecurity has an impact on organizational citizenship behavior.
Conclusion: In light of the present findings, it can be concluded that workplace safety management measures are among the most important programs and strategies of organizations to increase citizenship behaviors, support employees, and provide safe conditions in an organization.
Roghayeh Esmali, Elham Akhlaghi Pirposhteh, Ali Askari, Mohsen Poursadeghiyan,
Volume 15, Issue 3 (10-2025)
Abstract
Introduction: Artificial Intelligence (AI) and digitalization are pivotal in enhancing Occupational Health and Safety (OHS), reducing workplace accidents, improving conditions, and boosting organizational productivity. This study examines the impacts, challenges, and opportunities of these technologies in workplace safety.
Material and Methods: A narrative review was conducted via databases (Google Scholar, PubMed, IEEE Xplore, ScienceDirect) using keywords like “AI in occupational safety” (2013–January 2025). After screening 125 articles, 71 met the inclusion criteria (Persian or English publications). Qualitative content analysis identified key challenges and opportunities.
Results: Artificial intelligence has been used in predicting incidents, monitoring, process optimization, and analyzing OHS challenges. By analyzing historical data and hazard patterns, AI enables proactive risk mitigation. Continuous learning in AI models enhances predictive accuracy and environmental adaptability. However, data quality issues persist; techniques such as transfer learning offer potential solutions. AI-driven automation reduces human error, yet challenges include ethical concerns and infrastructure gaps.
Conclusion: AI and digital technologies are transforming OHS through predictive analytics and real-time surveillance. To fully leverage these benefits, future efforts must focus on addressing data quality issues, establishing robust ethical frameworks, and developing advanced infrastructure. Further research is essential for the practical implementation of AI in a variety of work environments.
