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 propose...
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Published in | Journal of theoretical and applied electronic commerce research Vol. 20; no. 3; p. 216 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
19.08.2025
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Online Access | Get full text |
ISSN | 0718-1876 0718-1876 |
DOI | 10.3390/jtaer20030216 |
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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. |
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AbstractList | 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. |
Author | Sun, Baiqing Gao, Yixing Denizci Guillet, Basak Law, Rob Ni, Shida |
Author_xml | – sequence: 1 givenname: Shida surname: Ni fullname: Ni, Shida – sequence: 2 givenname: Basak surname: Denizci Guillet fullname: Denizci Guillet, Basak – sequence: 3 givenname: Yixing orcidid: 0000-0001-6919-434X surname: Gao fullname: Gao, Yixing – sequence: 4 givenname: Rob orcidid: 0000-0001-7199-3757 surname: Law fullname: Law, Rob – sequence: 5 givenname: Baiqing orcidid: 0000-0003-3384-5029 surname: Sun fullname: Sun, Baiqing |
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