Mixed Signals: The Effects of Online Rating Discrepancy on User Trust

• 成果类型: Article
• 署名作者: Schneider, Florian; Dykmann, Pavel; Teubner, Timm
• 署名单位: Technical University of Berlin; Technical University of Berlin
• 刊物名称: JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
• ISSN/ISSBN: 0742-1222
• DOI: 10.1080/07421222.2025.2520178
• 发表日期: 2025
• 页码: 894-925
• 关键词: eye-tracking; Cognitive load; risk-aversion; customer reviews; prospect-theory; reputation; IMPACT; attention; utility; decisions

摘要

This study investigates how discrepancies in reputational signals across online platforms affect users' trust and cognitive processes. Using an eye-tracking experiment, it examines participants' responses to conflicting ratings, with a focus on attention patterns and decision-making. Results reveal that signal discrepancies significantly reduce trust. Participants exhibit increased cognitive load when confronted with inconsistent signals, as evidenced by longer fixation times and more frequent transitions between ratings. These findings suggest that conflicting information demands greater cognitive effort. The study also highlights the differential effects of primary (native) and secondary (imported) signals, demonstrating that platform-specific reputational systems play a dominant role in trust-building. By offering insights into the relationship among conflicting signals, trust, and cognitive processing, the study provides a novel theoretical perspective on reputation portability and derives practical implications for complementors and platform operators.