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Trust in and Risk of Technology in Organizational Digitalization

Author

Listed:
  • Andrea Bencsik

    (Department of Management, University of Pannonia, 8200 Veszprem, Hungary)

  • Dávid Máté Hargitai

    (Department of Marketing, University of Pannonia, 8200 Veszprem, Hungary)

  • Anastasia Kulachinskaya

    (Graduate School of Industrial Economics, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195251, Russia)

Abstract

Organizational transformation for digitalization is a daily challenge for organizations. Successful change can be defined as the combined result of a number of factors, in which the attitude, trust and/or distrust of employees towards technology is of paramount importance. The aim of this study was to explore which factors most influence employees’ trust in technology and how the risk they pose can be mitigated. The quantitative research analyzed 473 respondents (Smart PLS3, using SEM model) and came to the following conclusions. Employees’ trust in technology depends primarily on the supportive role of management, and to a lesser extent on the digital readiness of the company and the training provided in the organization. The supportive role of management is a key element in the model, as it affects trust not only in a direct way, but also indirectly, through several pathways in the model. This means that the supportive role of leadership is clearly a decisive influence and its importance helps to assess the risk of trust or lack of trust.

Suggested Citation

  • Andrea Bencsik & Dávid Máté Hargitai & Anastasia Kulachinskaya, 2022. "Trust in and Risk of Technology in Organizational Digitalization," Risks, MDPI, vol. 10(5), pages 1-19, April.
    • Handle: RePEc:gam:jrisks:v:10:y:2022:i:5:p:90-:d:797934
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    References listed on IDEAS

    as
    1. Jensen, Paul H. & Palangkaraya, Alfons & Webster, Elizabeth, 2015. "Trust and the market for technology," Research Policy, Elsevier, vol. 44(2), pages 340-356.
    2. Marko Sarstedt & Christian M. Ringle & Joseph F. Hair, 2022. "Partial Least Squares Structural Equation Modeling," Springer Books, in: Christian Homburg & Martin Klarmann & Arnd Vomberg (ed.), Handbook of Market Research, pages 587-632, Springer.
    3. Joanna Ejdys & Alicja Gudanowska & Katarzyna Halicka & Anna Kononiuk & Andrzej Magruk & Joanicjusz Nazarko & Lukasz Nazarko & Danuta Szpilko & Urszula Widelska, 2019. "Foresight in Higher Education Institutions: Evidence from Poland," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 77-89.
    4. Martínez-Caro, Eva & Cegarra-Navarro, Juan Gabriel & Alfonso-Ruiz, Francisco Javier, 2020. "Digital technologies and firm performance: The role of digital organisational culture," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    5. Blanka, Christine & Krumay, Barbara & Rueckel, David, 2022. "The interplay of digital transformation and employee competency: A design science approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    6. Raphael Iten & Joël Wagner & Angela Zeier Röschmann, 2021. "On the Identification, Evaluation and Treatment of Risks in Smart Homes: A Systematic Literature Review," Risks, MDPI, vol. 9(6), pages 1-30, June.
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    Cited by:

    1. Kornélia Lazányi, 2023. "Perceived Risks of Autonomous Vehicles," Risks, MDPI, vol. 11(2), pages 1-16, January.

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