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What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics

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Cited by:

  1. Cai, Xiaowei & Cebollada, Javier & Cortiñas, Mónica, 2023. "Impact of seller- and buyer-created content on product sales in the electronic commerce platform: The role of informativeness, readability, multimedia richness, and extreme valence," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
  2. Shan, Wei & Wang, Jiaxuan & Shi, Xiaoxiao & David Evans, Richard, 2024. "The impact of electronic word-of-mouth on patients’ choices in online health communities: A cross-media perspective," Journal of Business Research, Elsevier, vol. 173(C).
  3. Sangjae Lee & Kun Chang Lee & Joon Yeon Choeh, 2020. "Using Bayesian Network to Predict Online Review Helpfulness," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
  4. Abhishek Tandon & Aakash Aakash & Anu G. Aggarwal & P. K. Kapur, 2021. "Analyzing the impact of review recency on helpfulness through econometric modeling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 104-111, February.
  5. Penttinen, Valeria, 2023. "Hi, I’m taking over this account! Leveraging social media takeovers in fostering consumer-brand relationships," Journal of Business Research, Elsevier, vol. 165(C).
  6. Mariani, Marcello M. & Borghi, Matteo & Laker, Benjamin, 2023. "Do submission devices influence online review ratings differently across different types of platforms? A big data analysis," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  7. Henrik Sällberg & Shujun Wang & Emil Numminen, 2023. "The combinatory role of online ratings and reviews in mobile app downloads: an empirical investigation of gaming and productivity apps from their initial app store launch," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 426-442, September.
  8. Girardin, Florent & Bezençon, Valéry & Lunardo, Renaud, 2021. "Dealing with poor online ratings in the hospitality service industry: The mitigating power of corporate social responsibility activities," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
  9. Kong, Juan & Lou, Chen, 2023. "Do cultural orientations moderate the effect of online review features on review helpfulness? A case study of online movie reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  10. Bai, Yanzhuang & Li, Tingwu & Zheng, Chundong, 2022. "Is there any value in the online reviews of remedial satisfied customers? An empirical study in the hospitality industry," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  11. Bruno Schivinski & Daniela Langaro & Teresa Fernandes & Francisco Guzmán, 2020. "Social media brand engagement in the context of collaborative consumption: the case of AIRBNB," Journal of Brand Management, Palgrave Macmillan, vol. 27(6), pages 645-661, November.
  12. Li, Yuanshuo & Zhang, Zili & Pedersen, Susanne & Liu, Xudong & Zhang, Ziqiong, 2023. "The influence of relative popularity on negative fake reviews: A case study on restaurant reviews," Journal of Business Research, Elsevier, vol. 162(C).
  13. Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
  14. 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).
  15. Jing Liang & Ming Li & Jie Wang & Yating Ma, 2023. "The Influencing Factors of the Helpfulness of User-Generated Product Q&As," SAGE Open, , vol. 13(4), pages 21582440231, December.
  16. Barta, Sergio & Gurrea, Raquel & Flavián, Carlos, 2023. "Consequences of consumer regret with online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  17. Filieri, Raffaele & Lin, Zhibin & Pino, Giovanni & Alguezaui, Salma & Inversini, Alessandro, 2021. "The role of visual cues in eWOM on consumers’ behavioral intention and decisions," Journal of Business Research, Elsevier, vol. 135(C), pages 663-675.
  18. Zhang, Ziqiong & Qiao, Shuchen & Chen, Ying & Zhang, Zili, 2022. "Effects of spatial distance on consumers' review effort," Annals of Tourism Research, Elsevier, vol. 94(C).
  19. Jin, Wangyan & Chen, Yuangao & Yang, Shuiqing & Zhou, Shasha & Jiang, Hui & Wei, June, 2023. "Personalized managerial response and negative inconsistent review helpfulness: The mediating effect of perceived response helpfulness," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
  20. Le Bo & Yimo Chen & Xiaoli Yang, 2023. "The Impact of Contradictory Online Reviews on Consumer Online Purchase Decision: Experimental Evidence From China," SAGE Open, , vol. 13(2), pages 21582440231, June.
  21. Yuan, Denghua & Lin, Zhibin & Filieri, Raffaele & Liu, Ran & Zheng, Mengqin, 2020. "Managing the product-harm crisis in the digital era: The role of consumer online brand community engagement," Journal of Business Research, Elsevier, vol. 115(C), pages 38-47.
  22. Yingmei Wei & Diwei Fan & Binyuan Zhang & Ting Li & Yuqiang Feng, 2024. "How to improve tourists’ trust in official tourism destination websites in China—an empirical research based on CV and PASP," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
  23. Yi, Jisu & Oh, Yun Kyung, 2022. "The informational value of multi-attribute online consumer reviews: A text mining approach," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
  24. repec:hal:journl:hal-04779130 is not listed on IDEAS
  25. Abhishek Tandon & Aakash Aakash & Anu G. Aggarwal & P. K. Kapur, 0. "Analyzing the impact of review recency on helpfulness through econometric modeling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-8.
  26. Yadegaridehkordi, Elaheh & Nilashi, Mehrbakhsh & Nizam Bin Md Nasir, Mohd Hairul & Momtazi, Saeedeh & Samad, Sarminah & Supriyanto, Eko & Ghabban, Fahad, 2021. "Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques," Technology in Society, Elsevier, vol. 65(C).
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