How do product recommendations affect impulse buying? An empirical study on WeChat social commerce

By Yanhong Chen, Yao-bin Lu, Zhao Pan. Information Manager (The), 2019

331 citations recorded by the source corpus.

Abstract Social commerce is creating increasing opportunities for consumers to access product recommendations. Evidence from practical and academic literature shows that product recommendations may lead to impulse buying, yet relatively limited research exists on this topic. Based on the signaling theory, this research proposes a model to examine how product recommendations on social media affect a user’s urge to buy impulsively. Our results indicate that urge to buy impulsively is determined by affective trust in the recommender and affection toward the recommended product, which are influenced by both recommender-related signals (information quality and similarity) and product-related signals (vicarious expression and aesthetic appeal).

Subfields: Information Systems and Management, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/7cb651db7d15ae94da161ad60938f9796c288ff5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

  1. Chao-Hsing Lee
  2. Robert M. Davison
  3. Xi Hu
  4. Xiayu Chen
  5. Chien-Wen David Chen

In Marketing

  1. Chao-Hsing Lee
  2. Robert M. Davison
  3. Xi Hu
  4. Xiayu Chen
  5. Chien-Wen David Chen

In Sociology and Political Science

  1. Chao-Hsing Lee
  2. Robert M. Davison
  3. Chien-Wen David Chen

Citations in the corpus