Empirical Confirmation of the Mediating Role of Social Support in the Relationship Between Burnout, Working Conditions, and Turnover Intention
Authors
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Research Scholar, Department of Management Studies, Dr Janaki Ammal Campus, Thalassery, Kannur University, Kerala ,IN
P. K. Prajith -
Research Guide, Department of Management Studies, Dr. Janaki Ammal Campus, Thalassery, Kannur University, Kerala, India & Asst. Professor, Payyanur College, Payyanur - 670327, Kerala ,INV. N. Vigi
DOI:
https://doi.org/10.18311/sdmimd/2023/33009Keywords:
Burnout, Social Support, Turnover Intention, Working ConditionsAbstract
The shortage of competent professionals has long plagued the health workforce globally. The increase in workload brought on by the COVID-19 outbreak has made things worse. The factors influencing turnover intention are working conditions and burnout. Social support has been taken as the mediating factor. The hypotheses are formulated among these factors. Significant healthcare system failures occurred during the epidemic's peak, leading to requests for answers to the industry's mounting problem of high employee turnover. Pre-emptive measures should be taken to retain healthcare workers because of the potential for this turnover to worsen given the tremendous strain the healthcare profession has already been under throughout the epidemic. This study looks into the factors that affect healthcare employees' decisions to depart. SMARTPLS is used to adopt structural equation modelling and analyse it. The partially mediated model was supported by the findings. The likelihood of turnover was positively correlated with both burnout and working conditions. The usage of this theoretical framework by leaders of various sorts of organisations should be further investigated in future research utilising more precise measurements for requirements and resources. The usage of this theoretical framework by leaders of various sorts of organisations should be further investigated in future research utilising more precise measurements for requirements and resources.
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Copyright (c) 2023 P. K. Prajith, V. N. Vigi
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