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Using meta‐analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership‐performance relationship

Author

Listed:
  • Donald Bergh

    (University of Denver)

  • Herman Aguinis

    (Indiana University [Bloomington] - Indiana University System)

  • Ciaran Heavey
  • David Ketchen
  • Brian Boyd
  • Peiran Su

    (Audencia Recherche - Audencia Business School, Audencia Business School)

  • Cubie Lau
  • Harry Joo

Abstract

This paper demonstrates how meta‐analysis can be combined with structural equation modeling ( MASEM ) to address new questions in strategic management research. We review this integration, describe its implementation, and compare findings from bivariate meta‐analyses, a direct‐effect structural equations model, and two mediating frameworks using data on the strategic leadership and performance relationship. Results drawn from 208 articles that collectively included data on 495,638 observations demonstrate the new insights available from MASEM while also suggesting a revision to conventional thinking on strategic leadership. Whereas some theories posit that boards of directors influence firm performance through monitoring and disciplining the top management team, MASEM provides more support for the view that boards mediate the top management teams' decisions. Implications for applying MASEM in strategic management are offered . Copyright © 2014 John Wiley & Sons, Ltd.

Suggested Citation

  • Donald Bergh & Herman Aguinis & Ciaran Heavey & David Ketchen & Brian Boyd & Peiran Su & Cubie Lau & Harry Joo, 2016. "Using meta‐analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership‐performance relationship," Post-Print hal-04686335, HAL.
    • Handle: RePEc:hal:journl:hal-04686335
    DOI: 10.1002/SMJ.2338
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    Cited by:

    1. François A. Carrillat & Carolin Plewa & Ljubomir Pupovac & Chloé Vanasse & Taylor Willmott & Renaud Legoux & Ekaterina Napolova, 2025. "Can Consumers’ Altruistic Inferences Solve the CSR Initiative Puzzle? A Meta-analytic Investigation," Journal of Business Ethics, Springer, vol. 196(3), pages 639-658, January.
    2. van Zelst, Marino & Mannak, Remco & Oerlemans, Leon, 2017. "With whom do firms form ties? A meta-analysis on the influence of embeddedness and proximity on inter-organizational tie formation," OSF Preprints 3akbn_v1, Center for Open Science.
    3. Leonie Kuen & Daniel Westmattelmann & Maike Bruckes & Gerhard Schewe, 2023. "Who earns trust in online environments? A meta-analysis of trust in technology and trust in provider for technology acceptance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-24, December.
    4. 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_v1, Center for Open Science.

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