{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,30]],"date-time":"2026-08-30T05:16:07Z","timestamp":1788066967646,"version":"build-2784847793"},"reference-count":85,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T00:00:00Z","timestamp":1787875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fundamental Research Funds for the Central Universities, including the Independent Research Project of Wuhan University","award":["413000362"],"award-info":[{"award-number":["413000362"]}]},{"award":["413000362"],"award-info":[{"award-number":["413000362"]}],"id":[{"id":"https:\/\/ror.org\/033vjfk17","id-type":"ROR","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005234","name":"Central China Normal University","doi-asserted-by":"crossref","award":["CCNU25ZZ219"],"award-info":[{"award-number":["CCNU25ZZ219"]}],"id":[{"id":"10.13039\/501100005234","id-type":"DOI","asserted-by":"crossref"}]},{"award":["CCNU25ZZ219"],"award-info":[{"award-number":["CCNU25ZZ219"]}],"id":[{"id":"https:\/\/ror.org\/03x1jna21","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Behav. Sci.","Behavioral Sciences"],"abstract":"<jats:p>As AI-generated review summaries are increasingly embedded in e-commerce review systems, consumers are no longer exposed to a single type of user review information. Instead, they encounter multiple evaluative cues consisting of aggregated user-generated ratings (AUGR), original user reviews, and AI-generated summaries (AIGS). From the perspective of cross-cue inconsistency, this study examines the mechanism underlying consumers\u2019 adoption of AIGS in a complex evaluative environment. This study adopts a scenario-based experimental method and simulates a product review page on an e-commerce platform. A 2 (AIGS: positive vs. negative) \u00d7 2 (AUGR: high vs. low) \u00d7 2 (review dispersion: low vs. high) between-subjects experimental design was employed. Data from 371 participants from mainland China recruited through Credamo online panel were analyzed using full factorial ANOVA and PROCESS-based mediation and moderated mediation analyses. AIGS-AUGR consistency\/inconsistency was generated by combining the valence of AIGS with the level of AUGR, thereby capturing different manifestations of cross-cue consistency\/inconsistency. Based on this design, consumers\u2019 perceived diagnosticity, perceived authenticity, and adoption intention were measured, and the proposed hypotheses were tested. The results show that AIGS-AUGR inconsistency significantly reduces consumers\u2019 adoption intention toward AIGS. In the overall mediation analysis, perceived diagnosticity and perceived authenticity both mediate this effect. Review dispersion differentially moderates the first-stage effects of inconsistency on the two mediators: high review dispersion strengthens its negative effect on perceived diagnosticity, whereas low review dispersion strengthens its negative effect on perceived authenticity. However, only the diagnosticity-based indirect effect on adoption intention varies significantly across dispersion levels, with high review dispersion strengthening this negative indirect effect; the moderated indirect effect through perceived authenticity is not significant.<\/jats:p>","DOI":"10.3390\/bs16091516","type":"journal-article","created":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T12:27:46Z","timestamp":1787920066000},"page":"1516","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["How Cross-Cue Inconsistency Weakens the Adoption of AI-Generated Review Summaries: The Roles of Diagnosticity, Authenticity, and Review Dispersion"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8057-343X","authenticated-orcid":false,"given":"Wei","family":"He","sequence":"first","affiliation":[{"name":"School of Information Management, Central China Normal University, Wuhan 430079, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0868-174X","authenticated-orcid":false,"given":"Hua","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Information Management, Wuhan University, Wuhan 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"software","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"resources","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"},{"role":"project-administration","vocabulary":"credit"},{"role":"funding-acquisition","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6428-7598","authenticated-orcid":false,"given":"Xinyuan","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Information Management, Central China Normal University, Wuhan 430079, China"},{"name":"Hubei E-Commerce Research Center, Central China Normal University, Wuhan 430079, China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"funding-acquisition","vocabulary":"credit"},{"role":"project-administration","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"resources","vocabulary":"credit"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"104318","DOI":"10.1016\/j.ijhm.2025.104318","article-title":"Beyond the hype: Evaluating the impact of generative AI on brand authenticity, image, and consumer behavior in the restaurant industry","volume":"131","author":"Ali","year":"2025","journal-title":"International Journal of Hospitality Management"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"108088","DOI":"10.1016\/j.chb.2023.108088","article-title":"Is review visibility fostering helpful votes? 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