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

In: Digital Economy Post COVID-19 Era

Author

Listed:
  • Deepika Swain

    (XIM University)

  • Tony John

    (XIM University)

  • Lalatendu Kesari Jena

    (XIM University)

  • Niharika Gaan

    (Management Development Institute Murshidabad)

  • Arpita Jena

    (XIM University)

Abstract

Based on the transactional process theory, this study attempts to empirically validate Linden et al.’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 (N = 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.

Suggested Citation

  • Deepika Swain & Tony John & Lalatendu Kesari Jena & Niharika Gaan & Arpita Jena, 2023. "Influence of Job Anxiety Among the Blue-Collar Technical Workforce of Indian Manufacturing Industries: A Post-COVID Perspective," Springer Proceedings in Business and Economics, in: Prashant Mishra & Ashu Sharma & Sayantan Khanra & Sumit K. Kundu & Sushanta Kumar Mishra (ed.), Digital Economy Post COVID-19 Era, chapter 0, pages 695-718, Springer.
  • Handle: RePEc:spr:prbchp:978-981-99-0197-5_44
    DOI: 10.1007/978-981-99-0197-5_44
    as

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