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

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 equati...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Strategic management journal Ročník 37; číslo 3; s. 477 - 497
Hlavní autoři: Bergh, Donald D., Aguinis, Herman, Heavey, Ciaran, Ketchen, David J., Boyd, Brian K., Su, Peiran, Lau, Cubie L. L., Joo, Harry
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.03.2016
John Wiley & Sons
Wiley Periodicals Inc
Wiley
Témata:
ISSN:0143-2095, 1097-0266
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ArticleID:SMJ2338
istex:DCB4CA934D9298C6DEE5497FB4F6173147E86165
ark:/67375/WNG-L4H3QX75-Q
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0143-2095
1097-0266
DOI:10.1002/smj.2338