Abstract
Product information asymmetry exists between firms and online customers. Online customer reviews offer product quality information and reduce information asymmetry. Many customers review products online upon receipt and again after use. Initial and additional reviews can be consistent or conflicting, which affects other customers’ perceived product value. Firms use different strategies for disclosing product featured quality information, such as exaggerating or depreciating product quality. Different strategies can lead to different customer perceptions, which can affect additional reviews. In addition, even with the same strategy, differences in the degree of information quality can affect the perceived value of customers.
| Original language | English |
|---|---|
| Article number | 2420693 |
| Journal | Enterprise Information Systems |
| Volume | 18 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2024 |
Keywords
- Additional online reviews
- AI-driven application
- big data analytics
- online customer reviews
- product information asymmetry
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems and Management