A Meta-Analysis on the Determinants of Online Product Reviews with Moderating Effect of Product Type

The technological advances in digital space have provided a renewed impetus for business to expand their footprint across modes. growth of the internet and ease its access masses has encouraged many businesses go online. Online e-commerce platforms make it easy search, locate place orders. Technology-assisted supply chains fast delivery mechanisms ensure that users don't elsewhere fulfill needs. To earn loyalty customer satisfaction, evolved into sophisticated recommender system. It from just an informational source participative mode where can share experiences about purchases. Customer values other user more than information by seller. presence conflicting contradicting reviews task making rational decisions difficult users. Many studies were performed understand what constitutes review helpful came up with different or mixed outcomes. present study factors influence online helpful. Meta-analysis was reconcile findings helpfulness. meta-analysis found moderating effect product type, like length, readability, rating, reputation, expertise positively correlate Further, finds moderate terms polarity. mix selected data points study. include type (search, experience, other) helpfulness measurement criteria.
 
 Received: 30 August 2022 / Accepted: 24 October Published: 5 November