IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i21p9518-d1512212.html

Service Robots in the Workplace: Fostering Sustainable Collaboration by Alleviating Perceived Burdensomeness

Author

Listed:
  • Eeman Almokdad

    (Tourism Innovation Lab, Department of Hospitality and Tourism Management, Sejong University, 209 Neungdong Ro, Seoul 05006, Republic of Korea)

  • Chung Hun Lee

    (Tourism Innovation Lab, Department of Hospitality and Tourism Management, Sejong University, 209 Neungdong Ro, Seoul 05006, Republic of Korea)

Abstract

This study investigates the impact of job demands and perceived burdensomeness on employees’ willingness to collaborate with service robots (SRs) in the workplace, with a focus on the moderating effects of organizational support, self-esteem, and self-development. Conducted among 200 employees in South Korea, the results show that higher job demands significantly increase perceived burdensomeness, which negatively affects employees’ willingness to collaborate with SRs. Organizational support moderates the negative impact of job demands, reducing their detrimental effects, although it was less effective in buffering the reduction in social interaction. Self-esteem and self-development positively moderated the relationship between burdensomeness and collaboration. This study contributes to the understanding of sustainable workforce management by highlighting the importance of fostering personal and organizational resources to ensure that SR integration enhances both operational efficiency and employee well-being. The findings align with broader sustainability goals by promoting human–robot collaboration that optimizes resource use, enhances workforce adaptability, and maintains social and psychological balance in the workplace.

Suggested Citation

  • Eeman Almokdad & Chung Hun Lee, 2024. "Service Robots in the Workplace: Fostering Sustainable Collaboration by Alleviating Perceived Burdensomeness," Sustainability, MDPI, vol. 16(21), pages 1-17, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9518-:d:1512212
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/21/9518/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/21/9518/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kichan Nam & Christopher S. Dutt & Prakash Chathoth & Abdelkader Daghfous & M. Sajid Khan, 2021. "The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 553-574, September.
    2. Henry C. Y. Ho & Ying Chuen Chan, 2022. "Flourishing in the Workplace: A One-Year Prospective Study on the Effects of Perceived Organizational Support and Psychological Capital," IJERPH, MDPI, vol. 19(2), pages 1-12, January.
    3. 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.
    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. repec:hal:gemptp:hal-01249895 is not listed on IDEAS
    6. Eeman Almokdad & Kiattipoom Kiatkawsin & Chung Hun Lee, 2023. "Antecedents of Booster Vaccine Intention for Domestic and International Travel," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    7. Yunsik Kim, 2023. "Examining the Impact of Frontline Service Robots Service Competence on Hotel Frontline Employees from a Collaboration Perspective," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    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. 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).
    3. Rongyun Zhou & Qian Zhang, 2024. "The Impact of Industrial Robots on the Sustainable Development of Zombie Firms in China," Sustainability, MDPI, vol. 16(5), pages 1-16, March.
    4. 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.
    5. Hyun Jung Lee & Tahira M. Probst & Andrea Bazzoli & Sunhee Lee, 2022. "Technology Advancements and Employees’ Qualitative Job Insecurity in the Republic of Korea: Does Training Help? Employer-Provided vs. Self-Paid Training," IJERPH, MDPI, vol. 19(21), pages 1-13, November.
    6. 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.
    7. 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).
    8. David, Sofia & Zinica, Daniel & Bărbuță-Mișu, Nicoleta & Savga, Larisa & Virlanuta, Florina-Oana, 2024. "Public administration managers' and employees' perceptions of adaptability to change under “the future of work” paradigm," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    9. Méndez-Suárez, Mariano & Ćukušić, Maja & Ninčević-Pašalić, Ivana, 2026. "AI FoMO (fear of missing out) in the workplace," Technology in Society, Elsevier, vol. 84(C).
    10. 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.
    11. Zhou, Zhikai & Liu, Dewen & Chen, Zhongjie & Pancho, Martin, 2025. "Government adoption of generative artificial intelligence and ambidextrous innovation," International Review of Economics & Finance, Elsevier, vol. 98(C).
    12. Park, Gangmin & Kang, Songhee & Yi, Sangyoon & Kim, Junyoun, 2026. "Diverse impacts of AI investments on productivity gains: Effects of industry and innovation characteristics," Technological Forecasting and Social Change, Elsevier, vol. 224(C).
    13. Mauro Caselli & Andrea Fracasso & Arianna Marcolin & Sergio Scicchitano, 2023. "The reassuring effect of firms' technological innovations on workers' job insecurity," International Journal of Manpower, Emerald Group Publishing Limited, vol. 45(4), pages 754-778, October.
    14. Jo, Hyeon & Park, Do-Hyung, 2025. "The fear of being replaced by generative AI: An examination of influential factors among office workers," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
    15. Thomas Bolli & Filippo Pusterla, 2022. "Decomposing the effects of digitalization on workers’ job satisfaction," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 263-300, June.
    16. Lara C. Roll & Hans De Witte & Hai-Jiang Wang, 2023. "Conceptualization and Validation of the Occupation Insecurity Scale (OCIS): Measuring Employees’ Occupation Insecurity Due to Automation," IJERPH, MDPI, vol. 20(3), pages 1-26, January.
    17. 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.
    18. Mahyar Kamali Saraji & Dalia Streimikiene & Grigorios L. Kyriakopoulos, 2021. "Fermatean Fuzzy CRITIC-COPRAS Method for Evaluating the Challenges to Industry 4.0 Adoption for a Sustainable Digital Transformation," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
    19. Kang, David Yeonjun & Hur, Won-Moo & Shin, Yuhyung, 2023. "Smart technology and service employees’ job crafting: Relationship between STARA awareness, performance pressure, receiving and giving help, and job crafting," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    20. Loebbing, Jonas, 2018. "An Elementary Theory of Endogenous Technical Change and Wage Inequality," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181603, Verein für Socialpolitik / German Economic Association.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:16:y:2024:i:21:p:9518-:d:1512212. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.