IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i21p13849-d952282.html
   My bibliography  Save this article

Using Core Elements of Health and Safety Management Systems to Support Worker Well-Being during Technology Integration

Author

Listed:
  • Emily J. Haas

    (National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Pittsburgh, PA 15236, USA)

  • Emanuele Cauda

    (Pittsburgh Mining Research Division, National Institute for Occupational Safety and Health, Pittsburgh, PA 15236, USA)

Abstract

Research studying the intersection of occupational safety and health (OSH) and direct reading and sensor technologies (DRST) is sparse, with a specific lack of research available that has empirically considered ways that DRST may impact worker well-being. In this paper, the authors examine how organizations could utilize core elements of their health and safety management system (HSMS) to coordinate and execute DRST in the workplace to support worker well-being. National Institute for Occupational Safety and Health (NIOSH) researchers developed a 39-item questionnaire targeting OSH professionals to understand attitudes toward DRST and the current and intended uses of DRST at their place of employment. Eighty-eight OSH professionals completed the questionnaire between August and December 2021. Descriptive results of the study sample are provided but the focus of the study applies the open-ended responses to two questions, which was deductively analyzed. Descriptive results show that reliability and validity of data was a top concern while the open-ended qualitative feedback revealed three primary themes: (1) acceptability and trust in technology; (2) ease of use; and (3) support and guidelines. Results provide an opening to use core HSMS elements (i.e., management commitment and leadership, communication and coordination, and employee involvement) during DRST integration to demonstrate support for workers during times of ambiguity and change.

Suggested Citation

  • Emily J. Haas & Emanuele Cauda, 2022. "Using Core Elements of Health and Safety Management Systems to Support Worker Well-Being during Technology Integration," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13849-:d:952282
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/21/13849/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/21/13849/
    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. Anya Johnson & Shanta Dey & Helena Nguyen & Markus Groth & Sadhbh Joyce & Leona Tan & Nicholas Glozier & Samuel B Harvey, 2020. "A review and agenda for examining how technology-driven changes at work will impact workplace mental health and employee well-being," Australian Journal of Management, Australian School of Business, vol. 45(3), pages 402-424, 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. Gaia Vitrano & Guido J. L. Micheli & Francesca Marazzini & Valeria Panio & Angelo Castaldo & Alessia Marrocco & Stefano Signorini & Alessandro Marinaccio, 2024. "Examining the Complex Interaction Among Technological Innovation, Company Performance, and Occupational Safety and Health: A Mixed-Methods Study," IJERPH, MDPI, vol. 21(10), pages 1-17, October.

    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. Molla, M. M., 2024. "Artificial Intelligence (AI) and Fear of Job Displacement in Banks in Bangladesh," International Journal of Science and Business, IJSAB International, vol. 42(1), pages 1-18.
    2. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.
    3. Olimpia Ban & Irina Maiorescu & Mihaela Bucur & Gabriel Cristian Sabou & Betty Cohen Tzedec, 2024. "AI between Threat and Benefactor for the Competences of the Human Working Force," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 762-762, August.
    4. Livio Cricelli & Serena Strazzullo, 2021. "The Economic Aspect of Digital Sustainability: A Systematic Review," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    5. Zhong, Lina & Verma, Rohit & Wei, Wenqi & Morrsion, Alastair M. & Yang, Liyu, 2022. "Multi-stakeholder perspectives on the impacts of service robots in urban hotel rooms," Technology in Society, Elsevier, vol. 68(C).
    6. Horacio Molina-Sánchez & Gabriele Giorgi & Dante Castillo Guajardo & Antonio Ariza-Montes, 2022. "Special Issue “Rethinking the Subjective Wellbeing for a New Workplace Scenario”," Sustainability, MDPI, vol. 14(8), pages 1-6, April.
    7. 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).
    8. Arias-Pérez, José & Vélez-Jaramillo, Juan, 2022. "Ignoring the three-way interaction of digital orientation, Not-invented-here syndrome and employee's artificial intelligence awareness in digital innovation performance: A recipe for failure," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Zhang, Chao & Zhu, Weidong & Dai, Jun & Wu, Yong & Chen, Xulong, 2023. "Ethical impact of artificial intelligence in managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    10. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    11. Julie Linthorst & André de Waal, 2020. "Megatrends and Disruptors and Their Postulated Impact on Organizations," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    12. Zhou, Shuai & Yi, Ni & Rasiah, Rajah & Zhao, Haipeng & Mo, Zile, 2024. "An empirical study on the dark side of service employees’ AI awareness: Behavioral responses, emotional mechanisms, and mitigating factors," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    13. Dr. Muhammad Bilal Ahmad & Ayesha Badar & Dr. Muhammad Ramzan, 2023. "Investigating the Factors Affecting Employee Job Satisfaction through Job Autonomy in the Growing Concept of Hybrid Working Model in the IT Industry," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 591-601.
    14. Emma Brulin & Sofie Bjärntoft & Gunnar Bergström & David M. Hallman, 2023. "Gendered Associations of Flexible Work Arrangement and Perceived Flexibility with Work–Life Interference: A Cross-Sectional Mediation Analysis on Office Workers in Sweden," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 571-588, June.
    15. Hideo Noda, 2020. "Work–Life Balance and Life Satisfaction in OECD Countries: A Cross-Sectional Analysis," Journal of Happiness Studies, Springer, vol. 21(4), pages 1325-1348, April.
    16. Shin-Cheng Yeh & Ai-Wei Wu & Hui-Ching Yu & Homer C. Wu & Yi-Ping Kuo & Pei-Xuan Chen, 2021. "Public Perception of Artificial Intelligence and Its Connections to the Sustainable Development Goals," Sustainability, MDPI, vol. 13(16), pages 1-34, August.
    17. Sudatta Kar & Arpan Kumar Kar & Manmohan Prasad Gupta, 2021. "Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 217-238, October.
    18. De Obesso Arias, María de las Mercedes & Pérez Rivero, Carlos Alberto & Carrero Márquez, Oliver, 2023. "Artificial intelligence to manage workplace bullying," Journal of Business Research, Elsevier, vol. 160(C).
    19. Chowdhury, Soumyadeb & Budhwar, Pawan & Dey, Prasanta Kumar & Joel-Edgar, Sian & Abadie, Amelie, 2022. "AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework," Journal of Business Research, Elsevier, vol. 144(C), pages 31-49.
    20. Samuel Ogbeibu & Jude Emelifeonwu & Vijay Pereira & Raphael Oseghale & James Gaskin & Uthayasankar Sivarajah & Angappa Gunasekaran, 2024. "Demystifying the roles of organisational smart technology, artificial intelligence, robotics and algorithms capability: A strategy for green human resource management and environmental sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 369-388, February.

    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:19:y:2022:i:21:p:13849-:d:952282. 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.