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

• 成果类型: Article
• 署名作者: Bergh, Donald D.; Aguinis, Herman; Heavey, Ciaran; Ketchen, David J.; Boyd, Brian K.; Su, Peiran; Lau, Cubie L. L.; Joo, Harry
• 署名单位: University of Denver; Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University College Dublin; Auburn University System; Auburn University; City University of Hong Kong; University of West Scotland; Hong Kong University of Science & Technology
• 刊物名称: STRATEGIC MANAGEMENT JOURNAL
• ISSN/ISSBN: 0143-2095
• DOI: 10.1002/smj.2338
• 发表日期: 2016
• 页码: 477-497
• 关键词: META-ANALYSIS; structural equation modeling; strategic leadership; Boards of directors; UPPER ECHELONS

摘要

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 (c) 2014 John Wiley & Sons, Ltd.