This product works well (for me): The impact of first-person singular pronouns on online review helpfulness
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DOI: 10.1016/j.jbusres.2019.07.028
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Cited by:
- Raoofpanah, Iman & Zamudio, César & Groening, Christopher, 2023. "Review reader segmentation based on the heterogeneous impacts of review and reviewer attributes on review helpfulness: A study involving ZIP code data," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
- Baidyanath Biswas & Pooja Sengupta & Boudhayan Ganguly, 2022. "Your reviews or mine? Exploring the determinants of “perceived helpfulness” of online reviews: a cross-cultural study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1083-1102, September.
- Xian Wang & Huixian Li & Qingyi Wang & Alison Noble, 2023. "Consumers’ Concerns Regarding Product Quality: Evidence From Chinese Online Reviews," SAGE Open, , vol. 13(1), pages 21582440231, March.
- Hong, Ming & Wang, Heyong, 2021. "Research on customer opinion summarization using topic mining and deep neural network," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 185(C), pages 88-114.
- Wang, Fang & Du, Zhao & Wang, Shan, 2023. "Information multidimensionality in online customer reviews," Journal of Business Research, Elsevier, vol. 159(C).
- Bhukya, Ramulu & Paul, Justin, 2023. "Social influence research in consumer behavior: What we learned and what we need to learn? – A hybrid systematic literature review," Journal of Business Research, Elsevier, vol. 162(C).
- Lien Thi Kim Nguyen & Hao-Hsuan Chung & Kristine Velasquez Tuliao & Tom M. Y. Lin, 2020. "Using XGBoost and Skip-Gram Model to Predict Online Review Popularity," SAGE Open, , vol. 10(4), pages 21582440209, December.
- Zhanfei Lei & Dezhi Yin & Han Zhang, 2021. "Focus Within or On Others: The Impact of Reviewers’ Attentional Focus on Review Helpfulness," Information Systems Research, INFORMS, vol. 32(3), pages 801-819, September.
- Sambit Tripathi & Amit V. Deokar & Haya Ajjan, 2022. "Understanding the Order Effect of Online Reviews: A Text Mining Perspective," Information Systems Frontiers, Springer, vol. 24(6), pages 1971-1988, December.
- Zhao Du & Fang Wang & Shan Wang, 2021. "Reviewer Experience vs. Expertise: Which Matters More for Good Course Reviews in Online Learning?," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
- Moradi, Masoud & Dass, Mayukh & Kumar, Piyush, 2023. "Differential effects of analytical versus emotional rhetorical style on review helpfulness," Journal of Business Research, Elsevier, vol. 154(C).
- Lutz, Bernhard & Pröllochs, Nicolas & Neumann, Dirk, 2022. "Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation," Journal of Business Research, Elsevier, vol. 144(C), pages 888-901.
- Wang, Fei & Xu, Haifeng & Hou, Ronglin & Zhu, Zhen, 2023. "Designing marketing content for social commerce to drive consumer purchase behaviors: A perspective from speech act theory," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
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Keywords
Online reviews; Text analysis; Electronic word-of-mouth (eWOM); Perceived helpfulness; First-person singular pronoun; Elaboration likelihood model;All these keywords.
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