Meta-Analysis for Online Retail Performance

Ankur Kapoor and Dheeraj Sharma ()

Working Papers from eSocialSciences

Abstract: The meta-analysis, by combining and synthesizing research of past two decades, attempts to identify key constructs that explain the details of online retail performance in a more coherent manner. The authors attempt to synthesize a diverse set of 26 studies by analysing 203 correlations between different antecedents and consequences related to online retail performance. They hope that this should resolve some existing ambiguities of conflicting research findings, help identify relatively more important factors influencing online retail and provide a concise framework to researchers and practitioners to further build upon in coming times. Lastly, implications of findings and directions for future research are discussed. [WP2016-03-45]

Keywords: Meta Analysis; online retail business (e-commerce); online retail performance; implications of findings and directions for future research; Technology Acceptance Model; Online shopping acceptance model (OSAM) (search for similar items in EconPapers)
Date: 2016-06
Note: Institutional Papers
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