IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i5p3133-d765832.html
   My bibliography  Save this article

The Mediating Effects of Work Characteristics on the Relationship between Transformational Leadership and Employee Well-Being: A Meta-Analytic Investigation

Author

Listed:
  • Friederike Teetzen

    (Department of Work & Organizational Psychology, University of Hamburg, 20146 Hamburg, Germany)

  • Paul-Christian Bürkner

    (Stuttgart Center for Simulation Science, 70569 Stuttgart, Germany)

  • Sabine Gregersen

    (Institution for Statutory Accident Insurance and Prevention in the Health and Welfare Services, 22089 Hamburg, Germany)

  • Sylvie Vincent-Höper

    (Department of Work & Organizational Psychology, University of Hamburg, 20146 Hamburg, Germany)

Abstract

Evidence points to an indirect relationship between transformational leadership (TFL) and employee well-being, and numerous work characteristics have been identified as mediators. However, the relative mediating effect of different types of job resources and job demands on the TFL–well-being relationship remains unclear, rendering it impossible to determine which ones are the most influential. This study aims to provide a comprehensive analysis of the relative mediation potential of different work characteristics in the TFL–well-being relationship in multiple three-level meta-analytical structural equation models of 243 samples. Based on the JD–R Model, this study extends this theoretical framework by suggesting TFL as a predisposing variable that influences both job resources and job demands, leading to changes in indicators of both positive and negative employee well-being. The results show that, while all the examined job resources and demands mediated the TFL–well-being relationship, organizational resources were identified as the strongest mediators. Furthermore, job demands had a strong mediating effect on the relationship between TFL and negative well-being, while job resources more strongly mediated TFL and positive well-being. We present a differentiated picture of how transformational leaders can influence their employees’ well-being at the workplace, providing valuable knowledge for future research and practice.

Suggested Citation

  • Friederike Teetzen & Paul-Christian Bürkner & Sabine Gregersen & Sylvie Vincent-Höper, 2022. "The Mediating Effects of Work Characteristics on the Relationship between Transformational Leadership and Employee Well-Being: A Meta-Analytic Investigation," IJERPH, MDPI, vol. 19(5), pages 1-26, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:3133-:d:765832
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/5/3133/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/5/3133/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Boas Shamir & Robert J. House & Michael B. Arthur, 1993. "The Motivational Effects of Charismatic Leadership: A Self-Concept Based Theory," Organization Science, INFORMS, vol. 4(4), pages 577-594, November.
    2. Monje Amor, Ariadna & Abeal Vázquez, José Pablo & Faíña, José Andrés, 2020. "Transformational leadership and work engagement: Exploring the mediating role of structural empowerment," European Management Journal, Elsevier, vol. 38(1), pages 169-178.
    3. Walsh, Megan & Dupré, Kathryne & Arnold, Kara A., 2014. "Processes through which transformational leaders affect employee psychological health," Zeitschrift fuer Personalforschung. German Journal of Research in Human Resource Management, Rainer Hampp Verlag, vol. 28(1-2), pages 162-172.
    4. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    5. L N Mr Graham & A. van Witteloostuijn, 2010. "Leader-Member Exchange, Communication Frequency And Burnout," Working Papers 10-08, Utrecht School of Economics.
    6. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    7. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    8. Wegge, Juergen & Shemla, Meir & Haslam, S. Alexander, 2014. "Leader behavior as a determinant of health at work: Specification and evidence of five key pathways," Zeitschrift fuer Personalforschung. German Journal of Research in Human Resource Management, Rainer Hampp Verlag, vol. 28(1-2), pages 6-23.
    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. Hyun-Duck Kim & Angelita Bautista Cruz, 2022. "Transformational Leadership and Psychological Well-Being of Service-Oriented Staff: Hybrid Data Synthesis Technique," IJERPH, MDPI, vol. 19(13), pages 1-18, July.
    2. Zinka Kosec & Stella Sekulic & Susan Wilson-Gahan & Katja Rostohar & Matej Tusak & Marta Bon, 2022. "Correlation between Employee Performance, Well-Being, Job Satisfaction, and Life Satisfaction in Sedentary Jobs in Slovenian Enterprises," IJERPH, MDPI, vol. 19(16), pages 1-14, August.

    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. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    2. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    3. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    4. Geller, Susann & Wilhelm, Oliver & Wacker, Jan & Hamm, Alfons & Hildebrandt, Andrea, 2017. "Associations of the COMT Val158Met polymorphism with working memory and intelligence – A review and meta-analysis," Intelligence, Elsevier, vol. 65(C), pages 75-92.
    5. Christopher Winchester & Kelsey E. Medeiros, 2023. "In Bounds but Out of the Box: A Meta-Analysis Clarifying the Effect of Ethicality on Creativity," Journal of Business Ethics, Springer, vol. 183(3), pages 713-743, March.
    6. Nian-Feng Wan & Liwan Fu & Matteo Dainese & Yue-Qing Hu & Lars Pødenphant Kiær & Forest Isbell & Christoph Scherber, 2022. "Plant genetic diversity affects multiple trophic levels and trophic interactions," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    7. Franco Curadelli & Marcelo Alberto & Ernesto Martín Uliarte & Mariana Combina & Iván Funes-Pinter, 2023. "Meta-Analysis of Yields of Crops Fertilized with Compost Tea and Anaerobic Digestate," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    8. Kim, Yeolib & Kim, Seung Hyun & Peterson, Robert A. & Choi, Jeonghye, 2023. "Privacy concern and its consequences: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    9. Smith, Stephanie R. & Kroon, Jeroen & Schwarzer, Ralf & Hamilton, Kyra, 2020. "Parental social-cognitive correlates of preschoolers’ oral hygiene behavior: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 264(C).
    10. K. Praveen Parboteeah & Matthias Weiss & Martin Hoegl, 2024. "Ethical Climates Across National Contexts: A Meta-Analytical Investigation," Journal of Business Ethics, Springer, vol. 189(3), pages 573-590, January.
    11. Verver, Hugo & van Zelst, Marino & Lucas, Gerardus Johannes Maria & Meeus, Marius, 2019. "Understanding Heterogeneity in the Performance Feedback – Organizational Responsiveness Relationship: A Meta-Analysis," OSF Preprints hq4uw, Center for Open Science.
    12. Woodley of Menie, Michael A. & Peñaherrera-Aguirre, Mateo & Sarraf, Matthew A., 2022. "Signs of a Flynn effect in rodents? Secular differentiation of the manifold of general cognitive ability in laboratory mice (Mus musculus) and Norwegian rats (Rattus norvegicus) over a century—Results," Intelligence, Elsevier, vol. 95(C).
    13. Wenke, Kathrin & Zapkau, Florian B. & Schwens, Christian, 2021. "Too small to do it all? A meta-analysis on the relative relationships of exploration, exploitation, and ambidexterity with SME performance," Journal of Business Research, Elsevier, vol. 132(C), pages 653-665.
    14. Stav Fainshmidt & Amir Pezeshkan & M. Lance Frazier & Anil Nair & Edward Markowski, 2016. "Dynamic Capabilities and Organizational Performance: A Meta-Analytic Evaluation and Extension," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1348-1380, December.
    15. Jaskiewicz, Peter & Block, Joern & Wagner, Dominik & Carney, Michael & Hansen, Christopher, 2021. "How do cross-country differences in institutional trust and trust in family explain the mixed performance effects of family management? A meta-analysis," Journal of World Business, Elsevier, vol. 56(5).
    16. repec:cup:judgdm:v:15:y:2020:i:6:p:1024-1036 is not listed on IDEAS
    17. Anouk Decuypere & Wilmar Schaufeli, 2021. "Exploring the Leadership–Engagement Nexus: A Moderated Meta-Analysis and Review of Explaining Mechanisms," IJERPH, MDPI, vol. 18(16), pages 1-34, August.
    18. Haiko Schurz & Michelle Daya & Marlo Möller & Eileen G Hoal & Muneeb Salie, 2015. "TLR1, 2, 4, 6 and 9 Variants Associated with Tuberculosis Susceptibility: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-24, October.
    19. Lütjens, Henk & Eisenbeiss, Maik & Fiedler, Maximilian & Bijmolt, Tammo, 2022. "Determinants of consumers’ attitudes towards digital advertising – A meta-analytic comparison across time and touchpoints," Journal of Business Research, Elsevier, vol. 153(C), pages 445-466.
    20. Sala, Giovanni & Aksayli, N. Deniz & Tatlidil, K. Semir & Gondo, Yasuyuki & Gobet, Fernand, 2019. "Working memory training does not enhance older adults' cognitive skills: A comprehensive meta-analysis," Intelligence, Elsevier, vol. 77(C).
    21. Kearney, Eric & Shemla, Meir & van Knippenberg, Daan & Scholz, Florian A., 2019. "A paradox perspective on the interactive effects of visionary and empowering leadership," Organizational Behavior and Human Decision Processes, Elsevier, vol. 155(C), pages 20-30.

    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:5:p:3133-:d:765832. 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.