Workers’ Attitudes Towards Digital Transformation and Perceived Well-Being At Work: A Case Study
Lindner Fabian (),
Przybysz Kazimierz Adam (),
Schneider Germar () and
Keil Sophia ()
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Lindner Fabian: Zittau/Görlitz University of Applied Sciences, Faculty of Business Administration and Engineering, SCO-TTi Lab, Schliebenstr. 21, 02763 Zittau, Germany
Przybysz Kazimierz Adam: Zittau/Görlitz University of Applied Sciences, Faculty of Business Administration and Engineering, SCO-TTi Lab, Schliebenstr. 21, 02763 Zittau, Germany
Schneider Germar: Infineon Technologies Dresden GmbH & Co. KG, Königsbrücker Str. 180, 01099 Dresden, Germany
Keil Sophia: Zittau/Görlitz University of Applied Sciences, Faculty of Business Administration and Engineering, SCO-TTi Lab, Schliebenstr. 21, 02763 Zittau, Germany
ACC Journal, 2024, vol. 30, issue 2, 47-62
Abstract:
This study examines workers’ attitudes toward digital transformation and job well-being in the semiconductor industry, focusing on a major German manufacturer, to identify ergonomic and managerial potentials for improvement. Through a standardized paper survey of 46 skilled workers in 2021, it explores the impact of automation and digitalization on well-being and the influence of job characteristics and attitudes on workers’ behavior. For confirmatory hypothesis testing, Pearson's correlation coefficient was calculated between the variables. The results show no direct link between company digitalization efforts and worker well-being. However, worker identification with their job and interest in new technologies positively correlate with willingness to embrace digital challenges and participate in further education. These findings suggest fostering job identification and tech interest can enhance engagement in digital initiatives, offering organizational insights for navigating digital transformation.
Keywords: Semiconductor industry; Automation; Job characteristics; Technology commitment; Human factors; Mental and physical well-being (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:accjnl:v:30:y:2024:i:2:p:47-62:n:1003
DOI: 10.2478/acc-2024-0006
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