Unveiling a Hidden Driver of Online Rating Bias: The Role of Consumer Variety-Seeking Behavior

Variety-seeking is a fundamental motivation in consumer decision making, yet its subsequent effect on consumer behavior is not fully understood. Thus, this study aims to investigate how consumers’ variety-seeking behaviors influence their subsequent ratings on online reputation platforms. We proposed a framework and constructed econometric models to validate it based on large-scale restaurant-review data from an online reputation platform. Several robustness-check methods were employed to ensure the reliability of our results. The empirical results demonstrate that consumers exhibit a positive rating bias in their reviews for variety-seeking options, compared to regular ones. Further analysis reveals that the influence of variety-seeking dynamically changes with the time-varying characteristics of consumers and restaurants. Specifically, as consumers accumulate a larger number of similar experiences and as restaurants age, the observed rating bias gradually diminishes. This study found a previously undocumented but widely prevalent factor causing rating bias on online reputation platforms, and its significant impact warrants attention. The findings also extend the theoretical application scope of variety-seeking in the field of consumer behavior and offer practical implications for managers and platform designers.

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Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2025-08-19
DOI
https://doi.org/10.3390/jtaer20030216
Citations
2
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
8.40

Funders

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article

Unveiling a Hidden Driver of Online Rating Bias: The Role of Consumer Variety-Seeking Behavior

Rob Law, Basak Denizci Guillet, Yixing Lisa Gao, Baiqing Sun et al.
2 citations
Journal of theoretical and applied electronic commerce research
Digital Marketing and Social Media
8.40
article

Unveiling a Hidden Driver of Online Rating Bias: The Role of Consumer Variety-Seeking Behavior

Rob Law, Basak Denizci Guillet, Yixing Lisa Gao, Baiqing Sun, Shida Ni
article en
2 citations

Abstract

Variety-seeking is a fundamental motivation in consumer decision making, yet its subsequent effect on consumer behavior is not fully understood. Thus, this study aims to investigate how consumers’ variety-seeking behaviors influence their subsequent ratings on online reputation platforms. We proposed a framework and constructed econometric models to validate it based on large-scale restaurant-review data from an online reputation platform. Several robustness-check methods were employed to ensure the reliability of our results. The empirical results demonstrate that consumers exhibit a positive rating bias in their reviews for variety-seeking options, compared to regular ones. Further analysis reveals that the influence of variety-seeking dynamically changes with the time-varying characteristics of consumers and restaurants. Specifically, as consumers accumulate a larger number of similar experiences and as restaurants age, the observed rating bias gradually diminishes. This study found a previously undocumented but widely prevalent factor causing rating bias on online reputation platforms, and its significant impact warrants attention. The findings also extend the theoretical application scope of variety-seeking in the field of consumer behavior and offer practical implications for managers and platform designers.

Journal of theoretical and applied electronic commerce researchVol. 20(3)
Griffith University (AU), Hong Kong Polytechnic University (HK), University of Macau (MO), Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Digital Marketing and Social Media
8.40
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Unveiling a Hidden Driver of Online Rating Bias: The Role of Consumer Variety-Seeking Behavior — Rob Law, Basak Denizci Guillet, et al. · Journal of theoretical and applied electronic commerce research (2025) | TGRS Research Map | TGRS