IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i7p2438-d340984.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/7/2438/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/7/2438/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Georgia Libera Finstad & Antonio Ariza-Montes & Gabriele Giorgi & Luigi Isaia Lecca & Giulio Arcangeli & Nicola Mucci, 2019. "The JDCS Model and Blue-Collar Bullying: Decent Working Conditions for a Healthy Environment," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Astrid Weiss & Andreas Huber & Jürgen Minichberger & Markus Ikeda, 2016. "First Application of Robot Teaching in an Existing Industry 4.0 Environment: Does It Really Work?," Societies, MDPI, vol. 6(3), pages 1-21, July.
    4. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    5. Andrea Chiarini & Emidia Vagnoni, 2015. "World-class manufacturing by Fiat. Comparison with Toyota Production System from a Strategic Management, Management Accounting, Operations Management and Performance Measurement dimension," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 590-606, January.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marjan Shamsi & Tatiana Iakovleva & Espen Olsen & Richard P. Bagozzi, 2021. "Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    2. Nadeem, Kashif & Wong, Sut I. & Za, Stefano & Venditti, Michelina, 2024. "Digital transformation and industry 4.0 employees: Empirical evidence from top digital nations," Technology in Society, Elsevier, vol. 76(C).
    3. Monica Molino & Claudio G. Cortese & Chiara Ghislieri, 2021. "Technology Acceptance and Leadership 4.0: A Quali-Quantitative Study," IJERPH, MDPI, vol. 18(20), pages 1-18, October.
    4. Carla Estrada-Muñoz & Alejandro Vega-Muñoz & Dante Castillo & Sheyla Müller-Pérez & Joan Boada-Grau, 2021. "Technostress of Chilean Teachers in the Context of the COVID-19 Pandemic and Teleworking," IJERPH, MDPI, vol. 18(10), pages 1-14, May.
    5. 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.
    6. Reetta Oksa & Tiina Saari & Markus Kaakinen & Atte Oksanen, 2021. "The Motivations for and Well-Being Implications of Social Media Use at Work among Millennials and Members of Former Generations," IJERPH, MDPI, vol. 18(2), pages 1-22, January.
    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.
    8. Bo Jiang & Xinya Li & Sijiang Liu & Chuanyan Hao & Gangyao Zhang & Qiaomin Lin, 2022. "Experience of Online Learning from COVID-19: Preparing for the Future of Digital Transformation in Education," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Monica Molino & Claudio G. Cortese & Chiara Ghislieri, 2021. "Technology Acceptance and Leadership 4.0: A Quali-Quantitative Study," IJERPH, MDPI, vol. 18(20), pages 1-18, October.
    2. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    3. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    4. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    5. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    6. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    7. Garín-Muñoz, Teresa & López, Rafael & Pérez-Amaral, Teodosio & Herguera, Iñigo & Valarezo, Angel, 2019. "Models for individual adoption of eCommerce, eBanking and eGovernment in Spain," Telecommunications Policy, Elsevier, vol. 43(1), pages 100-111.
    8. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    9. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    10. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    11. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    12. repec:dgr:rugsom:04f04 is not listed on IDEAS
    13. Muhammad Rizwan & Hamna Sultan & Sadia Parveen & Shumaila Nawaz & Samreen Sattar & Maryam Sana, 2013. "Determinants of Online Shopping and Moderating Role of Innovativeness and Perceived Risk," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(2), pages 142-159, February.
    14. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    15. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    16. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    17. Karim, Sitara & Naz, Farah & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Is FinTech providing effective solutions to Small and Medium Enterprises (SMEs) in ASEAN countries?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 335-344.
    18. Sanduni I. Senaratne & Samantha M. Samarasinghe, 2019. "Factors Affecting the Intention to Adopt M-Learning," International Business Research, Canadian Center of Science and Education, vol. 12(2), pages 150-164, February.
    19. Ivan De Battista & Franco Curmi & Emanuel Said, 2021. "Influencing Factors Affecting Young People’s Attitude Towards Online Advertising: A Systematic Literature Review," International Review of Management and Marketing, Econjournals, vol. 11(3), pages 58-72.
    20. Fernanda Leão Ramos & Jorge Brantes Ferreira & Angilberto Sabino de Freitas & Juliana Werneck Rodrigues, 2018. "The Effect of Trust in the Intention to Use m-banking," Brazilian Business Review, Fucape Business School, vol. 15(2), pages 175-191, March.
    21. Nel, Jacques & Boshoff, Christo, 2021. "“I just don't like digital-only banks, and you should not use them either†: Traditional-bank customers' opposition to using digital-only banks," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2438-:d:340984. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.