Meta‐analyses on Contemporary Corporate Governance

• Published date: 01 May 2022
• Date: 01 May 2022
• DOI: http://doi.org/10.1111/corg.12448

Call for Papers

Corporate Governance: An International Review

Special Issue on

“Meta-analyses on Contemporary Corporate Governance”

Due Date to Submit Proposals: May 1, 2022

Guest Editors

Brian K. Boyd, Northern Arizona University, USA

Corinne Post, Villanova University, USA

Angelo M. Solarino, University of Durham, UK

BACKGROUND

Meta-analyses that advance theory via the synthesis and integration of previously

discordant findings have the potential to be highly influential. For example, Post and

Byron (2015) advanced our understanding of the effects of board gender diversity on

organizational performance via meta-analysis. Similarly, a recent meta-analysis

challenged assumptions about the effects of ownership type on the frequency of

tunnelling activity and advanced our understanding of the role of ownership in firms

(Solarino & Boyd, 2020). Meta-analytic tools also permit the development of more

nuanced and novel hypotheses, including both moderation (e.g., Gonzalez-Mulé &

Aguinis, 2018) and mediation effects (e.g., Bergh et al., 2016). Consequently, meta-

analyses do far more than summarize work to date: they extend and advance theory

(Post, Sarala, Gatrell, & Prescott, 2020). Furthermore, meta-analyses are beneficial for

both emerging and mature bodies of work, making this methodology relevant to a wide

range of corporate governance topics.

The Special Issue on Meta-analyses on Contemporary Corporate Governance aims

to publish cutting-edge research on the phenomena of corporate governance, that help

resolve controversy surrounding the level of empirical support for important theories, and

that build and test new theoretical insights surrounding important corporate governance

phenomena. We are open to papers that address theoretical questions involving a wide

range of corporate governance phenomena at macro, micro, and meso levels. While we

are not looking for purely methodological contributions, we invite contributions that use

different techniques to accumulate scientific evidence – e.g., how might MASEM versus

meta-regression provide unique insights on a specific governance topic?.

In terms of methodology, proposed papers should use an accepted form of quantitative

meta-analysis (see Steel et al., 2021), meta regressions (see Gonzalez-Mulé & Aguinis,

2018) or MASEM (see Bergh et al., 2016; Solarino & Boyd, 2020) or qualitative meta-

analytic aggregation technique (see Habersang et al., 2019) to assess scientific evidence

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