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The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice

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  • Chiara Panari

    (Department of Economics and Management, University of Parma, 43126 Parma, Italy)

  • Giorgio Lorenzi

    (AVM Holding Venice, 30135 Venice, Italy)

  • Marco Giovanni Mariani

    (Department of Psychology, University of Bologna, 40100 Bologna, Italy)

Abstract

The main goal of this research was to investigate the psychosocial aspects that influence the acceptance of innovative technology in maritime transport and its impact on employees’ work-related wellbeing and absenteeism. In particular, this study focused on a device that had been introduced to sailors working in water public transportation in Venice. The theoretical framework included two integrated models: the TAM model, concerning acceptance of the technology, and the JD-R model, related to workers’ well-being. A two-wave study was conducted; at T1, a self-report questionnaire was administered to 122 sailors. Four months after its first administration (T2), objective data related to days of absenteeism were collected. The study showed that the perceived ease of use and the usefulness of the device influenced the workers’ intentions to use the technology and their motivational processes of work engagement, which was also related to social support. Work engagement impacted on work satisfaction and predicted the level of absenteeism (measured at Time 2). The implementation of a new technology may fail if transportation companies do not consider psychosocial factors that assist in the acceptance of such technology and promote the involvement of workers in the technological system.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12358-:d:686862
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    References listed on IDEAS

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    1. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.
    2. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Martínez-Córcoles, Mario & Teichmann, Mare & Murdvee, Mart, 2017. "Assessing technophobia and technophilia: Development and validation of a questionnaire," Technology in Society, Elsevier, vol. 51(C), pages 183-188.
    5. Henrich R. Greve, 2009. "Bigger and safer: the diffusion of competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 30(1), pages 1-23, January.
    6. Väänänen, Ari & Toppinen-Tanner, Salla & Kalimo, Raija & Mutanen, Pertti & Vahtera, Jussi & Peiró, José M., 2003. "Job characteristics, physical and psychological symptoms, and social support as antecedents of sickness absence among men and women in the private industrial sector," Social Science & Medicine, Elsevier, vol. 57(5), pages 807-824, September.
    7. Javad Shahreki & Jaya Ganesan & Kavitha Raman & Audrey Lim Li Chin & Tee Suan Chin, 2019. "The effect of human resource information system application on employee satisfaction and turnover intention," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(2), pages 1462-1479, December.
    8. 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.
    9. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    10. Birgit Pauksztat, 2017. "Effects of job demands and social interactions on fatigue in short sea cargo shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(5), pages 623-640, July.
    11. Prem Borle & Kathrin Reichel & Fiona Niebuhr & Susanne Voelter-Mahlknecht, 2021. "How Are Techno-Stressors Associated with Mental Health and Work Outcomes? A Systematic Review of Occupational Exposure to Information and Communication Technologies within the Technostress Model," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    12. Giuliano Almeida Marodin & Tarcisio Abreu Saurin, 2015. "Managing barriers to lean production implementation: context matters," International Journal of Production Research, Taylor & Francis Journals, vol. 53(13), pages 3947-3962, July.
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