PropertyValue
?:abstract
  • 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 impact on the appraisal of performance drivers. Research limitations/im... ()
?:appearsInJournal
?:citationCount
  • 0 ()
?:cites
?:created
  • 2018-01-26 ()
?:creator
?:doi
  • 10.1108/JBIM-09-2016-0218 ()
?:endingPage
  • 195 ()
?:estimatedCitationCount
  • 0 ()
?:hasDiscipline
?:hasURL
?:issueIdentifier
  • 2 ()
?:language
  • en ()
?:publicationDate
  • 2018-01-10 ()
?:publisher
  • Emerald Publishing Limited ()
?:rank
  • 21723 ()
?:referenceCount
  • 72 ()
?:startingPage
  • 183 ()
?:title
  • Interorganizational drivers of channel performance: a meta-analytic structural model ()
?:type
?:volume
  • 33 ()

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