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Job Satisfaction and Work Characteristics Combinations in Industry 4.0 Environment—Insight from the Polish SMEs in the Post–Pandemic Era

Author

Listed:
  • Anna Kwiotkowska

    (Department of Organization and Management, Silesian University of Technology, 41-800 Zabrze, Poland)

  • Magdalena Gębczyńska

    (Department of Organization and Management, Silesian University of Technology, 41-800 Zabrze, Poland)

Abstract

The development of Industry 4.0, which has been observed for many years, spans the period before, during, and after the COVID-19 pandemic. This concept, which describes the complex process of business transformation, is reflected in a growing number of studies showing that the aim of Industry 4.0 is not to eliminate the human factor, but to introduce effective collaboration between people, systems, and machines. The success of a company depends to a large extent on the efficiency and productivity of its employees, to which job satisfaction is directly related. Job satisfaction is a phenomenon influenced by many factors, including job characteristics. Recognition of the relationship between job satisfaction and job characteristics throughout the implementation of Industry 4.0 solutions is marginal. Therefore, an attempt was made to identify the relationship between job characteristics and the achievement of job satisfaction in the digital transformation era by conducting a survey among Polish SMEs after the COVID-19 pandemic. The survey used the fs/QCA method. The results of the study contribute to SME theory and practice by identifying different combinations of job characteristics leading to high and low job satisfaction in an Industry 4.0 environment.

Suggested Citation

  • Anna Kwiotkowska & Magdalena Gębczyńska, 2022. "Job Satisfaction and Work Characteristics Combinations in Industry 4.0 Environment—Insight from the Polish SMEs in the Post–Pandemic Era," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:12978-:d:938839
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    References listed on IDEAS

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    1. Anna Kwiotkowska & Magdalena Gebczynska, 2021. "Causal Pathways of Innovation Orientation, Sustainability, Leadership and Social Performance," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 32-54.
    2. De Crescenzo, Veronica & Ribeiro-Soriano, Domingo Enrique & Covin, Jeffrey G., 2020. "Exploring the viability of equity crowdfunding as a fundraising instrument: A configurational analysis of contingency factors that lead to crowdfunding success and failure," Journal of Business Research, Elsevier, vol. 115(C), pages 348-356.
    3. Du, Yunzhou & Kim, Phillip H., 2021. "One size does not fit all: Strategy configurations, complex environments, and new venture performance in emerging economies," Journal of Business Research, Elsevier, vol. 124(C), pages 272-285.
    4. L. Martin & N. Omrani, 2015. "An assessment of trends in technology use, innovative work practices and employees' attitudes in Europe," Applied Economics, Taylor & Francis Journals, vol. 47(6), pages 623-638, February.
    5. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    6. Suhartanto, Dwi & Dean, David & Nansuri, Ruhadi & Triyuni, N.N., 2018. "The link between tourism involvement and service performance: Evidence from frontline retail employees," Journal of Business Research, Elsevier, vol. 83(C), pages 130-137.
    7. Vasja Roblek & Maja Meško & Alojz Krapež, 2016. "A Complex View of Industry 4.0," SAGE Open, , vol. 6(2), pages 21582440166, June.
    8. Virginia Pilloni, 2018. "How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0," Future Internet, MDPI, vol. 10(3), pages 1-14, March.
    9. Sascha Kraus & Domingo Ribeiro-Soriano & Miriam Schüssler, 2018. "Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 15-33, March.
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