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The Promotion of Technology Acceptance and Work Engagement in Industry 4.0: From Personal Resources to Information and Training

Author

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  • Monica Molino

    (Department of Psychology, University of Turin, 10124 Turin, Italy)

  • Claudio G. Cortese

    (Department of Psychology, University of Turin, 10124 Turin, Italy)

  • Chiara Ghislieri

    (Department of Psychology, University of Turin, 10124 Turin, Italy)

Abstract

Thanks to the rapid advances of technology, we are currently experiencing the fourth industrial revolution, which is introducing several changes in how organizations operate and how people learn and do their work. Many questions arise within this framework about how these transformations may affect workers’ wellbeing, and the Work and Organizational Psychology is called upon to address these open issues. This study aims to investigate personal and organizational antecedents (resilience, goal orientation and opportunities for information and training) and one consequence (work engagement) of technology acceptance within factories, comparing white- and blue-collar workers. The study involved a sample of 598 workers (white-collar = 220, blue-collar = 378) employed at an Italian company who filled in a self-report questionnaire. In both samples, the multi-group structural equation model showed a positive relationship between resilience, opportunities for information and training, and technology acceptance, which in turn showed a positive association with work engagement. All indirect effects were significant. This study investigated the motivational dynamics related to the introduction of new technologies within factories involving the little-studied population of blue-collar workers. Results highlighted the importance of providing information and opportunities for training to all employees, in order to support Industry 4.0 transformations without impacting on workers’ motivation.

Suggested Citation

  • Monica Molino & Claudio G. Cortese & Chiara Ghislieri, 2020. "The Promotion of Technology Acceptance and Work Engagement in Industry 4.0: From Personal Resources to Information and Training," IJERPH, MDPI, vol. 17(7), pages 1-15, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2438-:d:340984
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    References listed on IDEAS

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    7. Chiara Panari & Giorgio Lorenzi & Marco Giovanni Mariani, 2021. "The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice," IJERPH, MDPI, vol. 18(23), pages 1-14, November.
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    9. Juliana Salvadorinho & Leonor Teixeira, 2023. "Happy and Engaged Workforce in Industry 4.0: A New Concept of Digital Tool for HR Based on Theoretical and Practical Trends," Sustainability, MDPI, vol. 15(3), pages 1-29, February.
    10. Emil Sundstrup & Annette Meng & Jeppe Z. N. Ajslev & Karen Albertsen & Flemming Pedersen & Lars L. Andersen, 2022. "New Technology and Loss of Paid Employment among Older Workers: Prospective Cohort Study," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    11. Marina Crnjac Zizic & Marko Mladineo & Nikola Gjeldum & Luka Celent, 2022. "From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology," Energies, MDPI, vol. 15(14), pages 1-20, July.
    12. Mario Passalacqua & Robert Pellerin & Esma Yahia & Florian Magnani & Frédéric Rosin & Laurent Joblot & Pierre-Majorique Léger, 2024. "Practice With Less AI Makes Perfect: Partially Automated AI During Training Leads to Better Worker Motivation, Engagement, and Skill Acquisition," Post-Print hal-04487695, HAL.
    13. Gabriele Giorgi & Antonio Ariza-Montes & Nicola Mucci & Antonio L. Leal-Rodríguez, 2022. "The Dark Side and the Light Side of Technology-Related Stress and Stress Related to Workplace Innovations: From Artificial Intelligence to Business Transformations," IJERPH, MDPI, vol. 19(3), pages 1-5, January.
    14. Reyhaneh Bijaniaram & Maryam Tehrani & Roohallah Noori & Jongwook Pak, 2024. "What Does It Take for Organizations to Adopt Massive Open Online Courses (MOOCs)? A Fuzzy DANP Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1499-1534, March.
    15. Lisa Wiyartanti & Choon Hak Lim & Myon Woong Park & Jae Kwan Kim & Gyu Hyun Kwon & Laehyun Kim, 2020. "Resilience in the Surgical Scheduling to Support Adaptive Scheduling System," IJERPH, MDPI, vol. 17(10), pages 1-19, May.
    16. Manuela Linares & M. Dolores Gallego & Salvador Bueno, 2021. "Proposing a TAM-SDT-Based Model to Examine the User Acceptance of Massively Multiplayer Online Games," IJERPH, MDPI, vol. 18(7), pages 1-19, April.
    17. Óscar. R. González-López & María Buenadicha-Mateos & M. Isabel Sánchez-Hernández, 2021. "Overwhelmed by Technostress? Sensitive Archetypes and Effects in Times of Forced Digitalization," IJERPH, MDPI, vol. 18(8), pages 1-20, April.
    18. Simone Donati & Gianluca Viola & Ferdinando Toscano & Salvatore Zappalà, 2021. "Not All Remote Workers Are Similar: Technology Acceptance, Remote Work Beliefs, and Wellbeing of Remote Workers during the Second Wave of the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(22), pages 1-19, November.

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