IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i3p1974-d1042925.html
   My bibliography  Save this article

The Relationship of Artificial Intelligence Opportunity Perception and Employee Workplace Well-Being: A Moderated Mediation Model

Author

Listed:
  • Guanglu Xu

    (School of Business, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Ming Xue

    (School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai 201620, China)

  • Jidi Zhao

    (School of Public Administration, College of Economics and Management, East China Normal University, Shanghai 200062, China)

Abstract

Several previous studies have revealed a positive relationship between artificial intelligence (AI) technology development and employees’ employment, income, and job performance. If individuals can seize the opportunity to master the knowledge and skills relevant to the implementation of AI, they could make career progress and improve their workplace well-being (WWB). Based on the transactional theory of stress and resource conservation theory, we constructed a moderated mediation model to explore the relationship between AI opportunity perception and employees’ WWB and examine the mediating factor of informal learning in the workplace (ILW), as well as the moderating factor of unemployment risk perception (URP). Through a survey of 268 employees, our results showed the following: (1) AI opportunity perception was significantly positively correlated with employees’ WWB; (2) ILW played a mediating role in the positive relationship between AI opportunity perception and employees’ WWB; and (3) URP negatively moderated the mediating relationship of ILW between AI opportunity perception and employees’ WWB. Our research results have a guiding significance for enterprises seeking to promote WWB during AI application.

Suggested Citation

  • Guanglu Xu & Ming Xue & Jidi Zhao, 2023. "The Relationship of Artificial Intelligence Opportunity Perception and Employee Workplace Well-Being: A Moderated Mediation Model," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1974-:d:1042925
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/3/1974/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/3/1974/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brougham, David & Haar, Jarrod, 2018. "Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace," Journal of Management & Organization, Cambridge University Press, vol. 24(2), pages 239-257, March.
    2. Živilė Stankevičiūtė & Eglė Staniškienė & Joana Ramanauskaitė, 2021. "The Impact of Job Insecurity on Employee Happiness at Work: A Case of Robotised Production Line Operators in Furniture Industry in Lithuania," Sustainability, MDPI, vol. 13(3), pages 1-20, February.
    3. Shelly Hovick & Vicki S. Freimuth & Ashani Johnson‐Turbes & Doryn D. Chervin, 2011. "Multiple Health Risk Perception and Information Processing Among African Americans and Whites Living in Poverty," Risk Analysis, John Wiley & Sons, vol. 31(11), pages 1789-1799, November.
    4. Brougham, David & Haar, Jarrod, 2020. "Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    5. 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.
    6. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
    Full references (including those not matched with items on IDEAS)

    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. Guanglu Xu & Ming Xue & Jidi Zhao, 2023. "The Association between Artificial Intelligence Awareness and Employee Depression: The Mediating Role of Emotional Exhaustion and the Moderating Role of Perceived Organizational Support," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    2. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    3. Siegmann, K.A. & Ivosevic, P. & Visser, O., 2021. "Working like machines: Exploring effects of technological change on migrant labour in Dutch horticulture," ISS Working Papers - General Series 691, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    4. Fernández-Macías, Enrique & Klenert, David & Antón, José-Ignacio, 2021. "Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 76-89.
    5. Fulian Li & Wuwei Zhang, 2023. "Research on the Effect of Digital Economy on Agricultural Labor Force Employment and Its Relationship Using SEM and fsQCA Methods," Agriculture, MDPI, vol. 13(3), pages 1-17, February.
    6. Seamus McGuinness & Konstantinos Pouliakas & Paul Redmond, 2023. "Skills-displacing technological change and its impact on jobs: challenging technological alarmism?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(3), pages 370-392, April.
    7. Warning, Anja & Weber, Enzo, 2018. "Digitalisation, hiring and personnel policy: evidence from a representative business survey," IAB-Discussion Paper 201810, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Morikawa, Masayuki, 2017. "Who Are Afraid of Losing Their Jobs to Artificial Intelligence and Robots? Evidence from a Survey," GLO Discussion Paper Series 71, Global Labor Organization (GLO).
    9. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Does technological innovation bring destruction or creation to the labor market?," Technology in Society, Elsevier, vol. 68(C).
    10. Lingmont, Derek N.J. & Alexiou, Andreas, 2020. "The contingent effect of job automating technology awareness on perceived job insecurity: Exploring the moderating role of organizational culture," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    11. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.
    12. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    13. Aina Gallego & Thomas Kurer & Nikolas Schöll, 2018. "Not so disruptive after all: How workplace digitalization affects political preferences," Economics Working Papers 1623, Department of Economics and Business, Universitat Pompeu Fabra.
    14. CELI, Giuseppe & VITI, Domenico, 2018. "Land Use, Internal Mobility And External Immigration In Italy," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 18(3), pages 23-43.
    15. Sunil Mani, 2018. "Robot Apocalypse Does It Matter For India’S Manufacturing Industry?," Working Papers id:12683, eSocialSciences.
    16. Roman Chinoracky & Stanislava Turska & Lucia Madlenakova, 2019. "Does Industry 4.0 Have the Same Impact on Employment in the Sectors?," Management, University of Primorska, Faculty of Management Koper, vol. 14(1), pages 5-17.
    17. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    18. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, Institute of Labor Economics (IZA).
    19. Enflo, Kerstin & Molinder, Jakob & Karlsson, Tobias, 2019. "More Power to the People: Electricity Adoption, Technological Change and Social Conflict," CEPR Discussion Papers 13986, C.E.P.R. Discussion Papers.
    20. Samuel Ogbeibu & Charbel Jose Chiappetta Jabbour & James Gaskin & Abdelhak Senadjki & Mathew Hughes, 2021. "Leveraging STARA competencies and green creativity to boost green organisational innovative evidence: A praxis for sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2421-2440, July.

    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:20:y:2023:i:3:p:1974-:d:1042925. 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.