IDEAS home Printed from https://ideas.repec.org/a/rom/mrpase/v15y2023i3p31-43.html

Job Demands, Mental Health, And Performance: The Mediating Influence Of Servant Leadership During A Crisis

Author

Listed:
  • Jose Luis DANIEL

    (College of Business, Texas A&M University, Kingsville, USA)

  • Ruth CHATELAIN-JARDON

    (College of Business, Texas A&M University, Kingsville, USA)

  • Song XIAOCHUAN

    (College of Business, Texas A&M University, Kingsville, USA)

  • Kathleen REES

    (College of Business, Texas A&M University, Kingsville, USA)

Abstract

The purpose of this research is to study the moderating effect of servant leadership in the relationships among job demands, mental health, and job performance during the coronavirus disease 2019 (COVID-19) pandemic. Data from 302 individuals who have been working from home were collected from the United States. Partial least squares was used as the statistical analysis technique. The first analysis examined the direct effect of job demands on individual performance and mental health. The results show that the job demands variable is positively and significantly associated with individual performance and mental health. When the servant leadership variable was introduced as a moderator, high job demands lead to low levels of individual performance when the servant leadership level is low; however, individual performance is also high when the servant leadership level is high. Similarly, when the servant leadership level is low, high job demands lead to low levels of mental health, whereas employees present high levels of mental health when the servant leadership level is high. Therefore, it could be concluded that adopting a servant leadership approach during a crisis could help positively influence employee performance and mental health. Discussions, limitations, and implications are also presented in this study.

Suggested Citation

  • Jose Luis DANIEL & Ruth CHATELAIN-JARDON & Song XIAOCHUAN & Kathleen REES, 2023. "Job Demands, Mental Health, And Performance: The Mediating Influence Of Servant Leadership During A Crisis," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 15(3), pages 31-43, September.
  • Handle: RePEc:rom:mrpase:v:15:y:2023:i:3:p:31-43
    as

    Download full text from publisher

    File URL: https://mrp.ase.ro/no153/f3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
    2. Paolacci, Gabriele & Chandler, Jesse & Ipeirotis, Panagiotis G., 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Cambridge University Press, vol. 5(5), pages 411-419, August.
    3. Denise Parris & Jon Peachey, 2013. "A Systematic Literature Review of Servant Leadership Theory in Organizational Contexts," Journal of Business Ethics, Springer, vol. 113(3), pages 377-393, March.
    4. Carnevale, Joel B. & Hatak, Isabella, 2020. "Employee adjustment and well-being in the era of COVID-19: Implications for human resource management," Journal of Business Research, Elsevier, vol. 116(C), pages 183-187.
    5. Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
    6. Franco GANDOLFI & Seth STONE, 2016. "Clarifying Leadership: High-impact Leaders in a Time of Leadership Crisis," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 17(3), pages 212-224, July.
    7. Markus Hasel, 2013. "A question of context: the influence of trust on leadership effectiveness during crisis," Post-Print hal-02313225, HAL.
    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. Franco GANDOLFI & Seth STONE & Frank DENO, 2017. "Servant Leadership: An Ancient Style with 21st Century Relevance," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 18(4), pages 350-361, October.
    2. Yamada, Katsunori & Sato, Masayuki, 2013. "Another avenue for anatomy of income comparisons: Evidence from hypothetical choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 35-57.
    3. Sweldens, Steven & Puntoni, Stefano & Paolacci, Gabriele & Vissers, Maarten, 2014. "The bias in the bias: Comparative optimism as a function of event social undesirability," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 229-244.
    4. S. Venus Jin & Aziz Muqaddam, 2019. "Product placement 2.0: “Do Brands Need Influencers, or Do Influencers Need Brands?”," Journal of Brand Management, Palgrave Macmillan, vol. 26(5), pages 522-537, September.
    5. Hsu, Dan K. & Burmeister-Lamp, Katrin & Simmons, Sharon A. & Foo, Maw-Der & Hong, Michelle C. & Pipes, Jesse D., 2019. "“I know I can, but I don't fit”: Perceived fit, self-efficacy, and entrepreneurial intention," Journal of Business Venturing, Elsevier, vol. 34(2), pages 311-326.
    6. Lutz, Christoph & Newlands, Gemma, 2018. "Consumer segmentation within the sharing economy: The case of Airbnb," Journal of Business Research, Elsevier, vol. 88(C), pages 187-196.
    7. Mariconda, Simone & Lurati, Francesco, 2015. "Does familiarity breed stability? The role of familiarity in moderating the effects of new information on reputation judgments," Journal of Business Research, Elsevier, vol. 68(5), pages 957-964.
    8. Gandullia, Luca & Lezzi, Emanuela, 2018. "The price elasticity of charitable giving: New experimental evidence," Economics Letters, Elsevier, vol. 173(C), pages 88-91.
    9. Tobias Schlager & Ashley V. Whillans, 2022. "People underestimate the probability of contracting the coronavirus from friends," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    10. Charness, Gary & Gneezy, Uri & Kuhn, Michael A., 2013. "Experimental methods: Extra-laboratory experiments-extending the reach of experimental economics," Journal of Economic Behavior & Organization, Elsevier, vol. 91(C), pages 93-100.
    11. Gerhard, Patrick & Hoffmann, Arvid O.I. & Post, Thomas, 2017. "Past performance framing and investors’ belief updating: Is seeing long-term returns always associated with smaller belief updates?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 38-51.
    12. Orazi, Davide C. & Pizzetti, Marta, 2015. "Revisiting fear appeals: A structural re-inquiry of the protection motivation model," International Journal of Research in Marketing, Elsevier, vol. 32(2), pages 223-225.
    13. Haas, Nicholas & Hassan, Mazen & Mansour, Sarah & Morton, Rebecca B., 2021. "Polarizing information and support for reform," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 883-901.
    14. Cantarella, Michele & Strozzi, Chiara, 2019. "Workers in the Crowd: The Labour Market Impact of the Online Platform Economy," IZA Discussion Papers 12327, Institute of Labor Economics (IZA).
    15. Armenak Antinyan & Luca Corazzini & Filippo Pavesi, 2018. "What Matters for Whistleblowing on Tax Evaders? Survey and Experimental Evidence," Working Papers 07/2018, University of Verona, Department of Economics.
    16. Hindsley, Paul & McEvoy, David M. & Morgan, O. Ashton, 2020. "Consumer Demand for Ethical Products and the Role of Cultural Worldviews: The Case of Direct-Trade Coffee," Ecological Economics, Elsevier, vol. 177(C).
    17. Gökçe Esenduran & James A. Hill & In Joon Noh, 2020. "Understanding the Choice of Online Resale Channel for Used Electronics," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1188-1211, May.
    18. Azzam, Tarek & Harman, Elena, 2016. "Crowdsourcing for quantifying transcripts: An exploratory study," Evaluation and Program Planning, Elsevier, vol. 54(C), pages 63-73.
    19. Gonzalez-Cabello, Martin & Siddiq, Auyon & Corbett, Charles J. & Hu, Catherine, 2025. "Fairness in crowdwork: Making the human AI supply chain more humane," Business Horizons, Elsevier, vol. 68(5), pages 645-657.
    20. Autrey, Romana L. & Bauer, Tim D. & Jackson, Kevin E. & Klevsky, Elena, 2019. "Deploying “connectors”: A control to manage employee turnover intentions?," Accounting, Organizations and Society, Elsevier, vol. 79(C).

    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:rom:mrpase:v:15:y:2023:i:3:p:31-43. 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: Colesca Sofia (email available below). General contact details of provider: https://edirc.repec.org/data/ccasero.html .

    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.