Guest Editors
Dr. P. Shanmugavadivu, The Gandhigram Rural Institute (Deemed to be University), India
Dr. Hsin-Hsi Tsai, National Chiao Tung University, Taiwan
Dr. Bharathi Raja Chakravarthi, National University of Ireland, Galway
Summary
As a key to improving the quality of life, this occupational health psychology is considered an important factor that promotes the health, well-being, and safety of the workers. It addresses the impact of various occupational stresses like involuntary unemployment, workplace mistreatments, and other forms of violence (sexual harassment, bullying, incivility, abusive supervision, etc), work-life balance, and other psychosocial workplace factors to design the safety interventions. This notion of protecting health and psychology is a very important move that prevents poor health outcomes. Also, these interventions could equip the workers with better resources and knowledge to resist the risks and hazards in the work environment. On the other hand, technologies like Artificial Intelligence (AI), Big Data Analytics, the Internet of Things (IoT), Cloud/Edge/Fog Computing, etc could efficiently influence the psychological health and well-being of the employees. Especially, as a giant network of interconnected physical objects, IoT could not only facilitate the communication between the objects but also collects and exchange real-time data with the help of cloud-like technology. Whereas, with the ability to feed human intelligence to the machines, AI could provide personalized services to the users. The integration of these two technologies could significantly create an opportunity to prevent workplace risks and hazards.
Simply, inundating occupational safety with robust technologies like AI and IoT could promote additional responsibility to achieve operational excellence. Despite having so many beneficial factors, there are still some practical difficulties in executing the same. Firstly, this technological framework develops a situation that raises more concerns about security and privacy issues. Secondly, we require a huge data storage facility, to instantly resolve the operational problems with the accumulated real-time data. Thirdly, there are several inter-compatibility issues, which prompt the system to be lea reliable. Also, lack of standardization, scalability and transparency issues, biased decision-making, social isolation, and so on are other problematic factors that retards the performance of the system. On this stand, it is apparent that this technological infrastructure could achieve its full efficiency only when the disadvantages are eliminated parallelly. Therefore, this special issue contributes to understanding new challenges and opportunities along with suitable measures that contribute to developing more healthy and sustainable organizations. To this end, we also welcome original research submissions that offer effective interventions for the well-being of the employees.
Keywords
• Role of big data and AI in analysing multilevel perspectives of occupational health psychology
• Assessing the effectiveness of virtual intervention with AI and IoT to improve employee’s well-being
• Impact of AI and VR on occupational health and safety measures
• Exploring the non-linear relationships between psychosocial risk factors and health using AI and IoT
• AI-powered models and digital twins for personalized occupational health and psychology
• An emotion-aware intelligent system with IoT for a sustainable and safe working environment
• Secured IoT-empowered occupational safety using federated learning and blockchain technology
• Innovations in remote occupational health using cloud-based IoT and sensor informatics
• Next-generation neuro-fuzzy edge computations with IoT for occupational safety and well-being of the employees
• Open and interpretable AI with deep learning technologies for a sustainable and safe working environment
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