Purpose
This meta-analysis aims to explore the true effect sizes of major channel performance drivers from different theoretical perspectives and how these true effects are organized in a theoretically integrated structural analysis to predict performance.
Design/methodology/approach
First, it offers a quantitative summary on the drivers of channel performance through pairwise correlation analysis. Second, it tests an integrative framework of various performance drivers based on the relational view by using structural equation modeling. Last, it examines the potential moderation on the effects of performance drivers.
Findings
The synthesized effects of various channel performance drivers confirm the effectiveness of underlying theoretical perspectives of channel performance. The relational view is effective to identify immediate interorganizational drivers of channel performance. The contexts and methods of performance assessment have an impact on the appraisal of performance drivers.
Research limitations/implications
The performance drivers included in this meta-analysis are constrained to variables that exist in empirical channels literature and have sufficient primary data for analysis. Moderation tests are constrained by the report of research contexts and methods in original studies. Future research should broaden the theoretical perspectives on channel performance.
Practical implications
First, leveraging key routines and processes embedded in marketing channel relationships is critical to improve channel performance. Second, more targeted effort to manage channels in different markets may improve the efficiency of channel performance enhancement. Last, a comprehensive performance assessment process is necessary to avoid biased estimation of performance drivers.
Originality/value
This meta-analysis provides a systematic review of factors influencing marketing channel performance by synthesizing and correcting the effect sizes of performance drivers from different theoretical perspectives. It further develops and tests an integrative model of four immediate interorganizational drivers of channel performance.
