PurposeThe study is aimed at developing and testing a theoretical model where psychological capital acts as the intervening mechanism explicating the relationship between perceived overqualification (POQ) and turnover intention. It also explores how perceived supervisor support (PSS) influences the mediating role of psychological capital in the perceived overqualification and turnover intention association.Design/methodology/approachThe authors test the model through a sample data of 314 workers employed in the Indian IT service sector. IBM SPSS and SPSS AMOS software were utilized for conducting analysis and testing the model involving first-stage moderated mediation.FindingsThe study confirms that perceptions of overqualification have a positive relationship with turnover intentions. Further, it finds that the positive association between POQ and turnover intention will be mediated by psychological capital. The results reflected that perceived supervisor support shall weaken the relationship between perceptions of overqualification and psychological capital.Originality/valueThe research is amongst the limited researches which look at the influence of psychological capital and perceived supervisor support with regards to POQ. It attempts to lay down the underlying psychological mechanism of POQ and highlight the role played by perceived supervisor support.
Robots are increasingly interacting with people at the workplace as users or bystanders, hence, they ought to be reliable and safe. The rationale behind the study is to understand the causes of the rising workplace robot accidents by analysing a particular case for greater understanding. The article provides diverse perspectives on the probable causes and consequences of robot-related accidents and offers suggestions to mitigate these. It involves the application of the root cause analysis technique to identify the reasons behind the robot-related accident that resulted in the death of a worker and suggests remedies to do away with any such recurrence in the future. The study endeavours to bridge the research gap pertaining to robot-related accidents in the automotive industry.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.