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Articles

Understanding the effects of different review features on purchase probability

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Pages 29-53 | Received 25 Sep 2016, Accepted 08 Jun 2017, Published online: 03 Jul 2017

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Vartika Srivastava, Arti D. Kalro, Gaurav Raizada & Dinesh Sharma. (2024) Beyond stars: role of discrete emotions on online consumer review helpfulness. Journal of Marketing Theory and Practice 32:2, pages 137-157.
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Abdessamad Benlahbib, Achraf Boumhidi & El Habib Nfaoui. (2022) MINING ONLINE REVIEWS TO SUPPORT CUSTOMERS’ DECISION-MAKING PROCESS IN E-COMMERCE PLATFORMS: A NARRATIVE LITERATURE REVIEW. Journal of Organizational Computing and Electronic Commerce 32:1, pages 69-97.
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Ismail Karabas, Ioannis Kareklas, T.J. Weber & Darrel D. Muehling. (2021) The impact of review valence and awareness of deceptive practices on consumers’ responses to online product ratings and reviews. Journal of Marketing Communications 27:7, pages 685-715.
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Seunghun Shin, Qianzhou Du, Yufeng Ma, Weiguo Fan & Zheng Xiang. (2021) Moderating effects of rating on text and helpfulness in online hotel reviews: an analytical approach. Journal of Hospitality Marketing & Management 30:2, pages 159-177.
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Seoyeon Hong & Matthew Pittman. (2020) eWOM anatomy of online product reviews: interaction effects of review number, valence, and star ratings on perceived credibility. International Journal of Advertising 39:7, pages 892-920.
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Jung-Kuei Hsieh & Yi-Jin Li. (2020) Will You Ever Trust the Review Website Again? The Importance of Source Credibility. International Journal of Electronic Commerce 24:2, pages 255-275.
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Ewa Maslowska, Claire M. Segijn, Khadija Ali Vakeel & Vijay Viswanathan. (2020) How consumers attend to online reviews: an eye-tracking and network analysis approach. International Journal of Advertising 39:2, pages 282-306.
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Yeohong Yoon, Alex Jiyoung Kim, Jeeyeon Kim & Jeonghye Choi. (2019) The effects of eWOM characteristics on consumer ratings: evidence from TripAdvisor.com. International Journal of Advertising 38:5, pages 684-703.
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Konstantina Tsiakali. (2018) User-generated-content versus marketing-generated-content: personality and content influence on traveler’s behavior. Journal of Hospitality Marketing & Management 27:8, pages 946-972.
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Patrick De Pelsmacker, Nathalie Dens & Alona Kolomiiets. (2018) The impact of text valence, star rating and rated usefulness in online reviews. International Journal of Advertising 37:3, pages 340-359.
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Yang Liu & Qin Gao. Navigate Through Massive and Mixed Online Reviews: The Role of Central and Peripheral Cues in Consumers’ Information Search. International Journal of Human–Computer Interaction 0:0, pages 1-22.
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Valentinus Roby Hananto, Soomin Kim, Mate Kovacs, Uwe Serdult & Victor Kryssanov. (2021) A Machine Learning Approach to Analyze Fashion Styles from Large Collections of Online Customer Reviews. A Machine Learning Approach to Analyze Fashion Styles from Large Collections of Online Customer Reviews.
Xue Pan, Lei Hou & Kecheng Liu. (2020) Predicting the future increment of review helpfulness: an empirical study based on a two-wave data set. The Electronic Library 39:1, pages 59-76.
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Elvira Ismagilova, Emma Slade, Nripendra P. Rana & Yogesh K. Dwivedi. (2020) The effect of characteristics of source credibility on consumer behaviour: A meta-analysis. Journal of Retailing and Consumer Services 53, pages 101736.
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Bettina Lis & Maximilian Fischer. (2020) Analyzing different types of negative online consumer reviews. Journal of Product & Brand Management 29:5, pages 637-653.
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Marios Kokkodis, Theodoros Lappas & Gerald C. Kane. (2019) Direct and Indirect Benefits of Introducing Purchase Verification in E-commerce Platforms: Evidence from a Natural Experiment. SSRN Electronic Journal.
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