Using meta‐analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership‐performance relationship |
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Authors: | Donald D. Bergh Herman Aguinis Ciaran Heavey David J. Ketchen Brian K. Boyd Peiran Su Cubie L. L. Lau Harry Joo |
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Affiliation: | 1. Daniels College of Business, Department of Management, The University of Denver, Denver, Colorado, U.S.A.;2. Kelley School of Business, Department of Management and Entrepreneurship, Indiana University, Bloomington, Indiana, U.S.A.;3. Smurfit School of Business, Department of Management, University College Dublin, Belfield, Ireland;4. Raymond J. Harbert College of Business, Department of Management, Auburn University, Auburn, Alabama, U.S.A.;5. College of Business, Department of Management, City University of Hong Kong, Hong Kong, Hong Kong;6. School of Business and Enterprise, University of the West of Scotland, Paisley, U.K.;7. School of Business and Management, Department of Management, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong |
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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. |
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Keywords: | meta‐analysis structural equation modeling strategic leadership boards of directors upper echelons |
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