Influence of Job Anxiety Among the Blue-Collar Technical Workforce of Indian Manufacturing Industries: A Post-COVID Perspective

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Digital Economy Post COVID-19 Era (INDAM 2023)

Abstract

Based on the transactional process theory, this study attempts to empirically validate Linden et al.ā€™s job anxiety scale among blue-collar workers during the COVID-19 period. We investigated the psychometric properties of the original five-dimensional scale among blue-collar workers employed in six Indian manufacturing industries (Nā€‰=ā€‰943). For criterion validity, the correlation among each dimension of job anxiety was examined with the job burnout and workplace ostracism scale. Our findings reveal that in the Indian blue-collar worker context, a three-dimensional model of job anxiety comprising stimuli-related, socially related, and health-related stressors receives validation, highlighting a different interpretation of the scale.

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Correspondence to Lalatendu Kesari Jena .

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The authors ensure that: there is no funding for the research. The research is conducted in a responsible and ethically accountable way. Obtained informed consent from potential research participants. Minimized the risk of harm to participants. Protected their anonymity and confidentiality. Avoided using deceptive practices. Gave participants the right to withdraw from the research.

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Swain, D., John, T., Jena, L.K., Gaan, N., Jena, A. (2023). Influence of Job Anxiety Among the Blue-Collar Technical Workforce of Indian Manufacturing Industries: A Post-COVID Perspective. In: Mishra, P., Sharma, A., Khanra, S., Kundu, S.K., Mishra, S.K. (eds) Digital Economy Post COVID-19 Era. INDAM 2023. Springer Proceedings in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-99-0197-5_44

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