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Social influence's impact on reader perceptions of online reviews

Citations

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Cited by:

  1. Bartschat, Maria & Cziehso, Gerrit & Hennig-Thurau, Thorsten, 2022. "Searching for word of mouth in the digital age: Determinants of consumers’ uses of face-to-face information, internet opinion sites, and social media," Journal of Business Research, Elsevier, vol. 141(C), pages 393-409.
  2. 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.
  3. Liu, Angela Xia & Xie, Ying & Zhang, Jurui, 2019. "It's Not Just What You Say, But How You Say It: The Effect of Language Style Matching on Perceived Quality of Consumer Reviews," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 70-86.
  4. Kawaf, Fatema & Istanbulluoglu, Doga, 2019. "Online fashion shopping paradox: The role of customer reviews and facebook marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 144-153.
  5. Wang, Fang & Du, Zhao & Wang, Shan, 2023. "Information multidimensionality in online customer reviews," Journal of Business Research, Elsevier, vol. 159(C).
  6. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
  7. Román, Sergio & Riquelme, Isabel P. & Iacobucci, Dawn, 2023. "Fake or credible? Antecedents and consequences of perceived credibility in exaggerated online reviews," Journal of Business Research, Elsevier, vol. 156(C).
  8. Wu, Yuanyuan & Liu, Tianjiao & Teng, Lefa & Zhang, Hui & Xie, Chenxin, 2021. "The impact of online review variance of new products on consumer adoption intentions," Journal of Business Research, Elsevier, vol. 136(C), pages 209-218.
  9. Bi, Sheng & Liu, Zhiying & Usman, Khalid, 2017. "The influence of online information on investing decisions of reward-based crowdfunding," Journal of Business Research, Elsevier, vol. 71(C), pages 10-18.
  10. Meek, Stephanie & Wilk, Violetta & Lambert, Claire, 2021. "A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews," Journal of Business Research, Elsevier, vol. 125(C), pages 354-367.
  11. Surachartkumtonkun, Jiraporn (Nui) & Grace, Debra & Ross, Mitchell, 2021. "Unfair customer reviews: Third-party perceptions and managerial responses," Journal of Business Research, Elsevier, vol. 132(C), pages 631-640.
  12. Xu, Xianying & Huang, Yinghua, 2019. "Restaurant information cues, Diners’ expectations, and need for cognition: Experimental studies of online-to-offline mobile food ordering," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 231-241.
  13. Topaloglu, Omer & Dass, Mayukh & Kumar, Piyush, 2017. "Does who we are affect what we say and when? Investigating the impact of activity and connectivity on microbloggers' response to new products," Journal of Business Research, Elsevier, vol. 77(C), pages 23-29.
  14. 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.
  15. Benedikt M. Brand & Cristopher Siegfried Kopplin & Theresa Maria Rausch, 2022. "Cultural differences in processing online customer reviews: holistic versus analytic thinkers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1039-1060, September.
  16. 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).
  17. Ismagilova, Elvira & Dwivedi, Yogesh K. & Slade, Emma, 2020. "Perceived helpfulness of eWOM: Emotions, fairness and rationality," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
  18. 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).
  19. Zhang, Hao & Liang, Xiaoning & Qi, Chenyue, 2021. "Investigating the impact of interpersonal closeness and social status on electronic word-of-mouth effectiveness," Journal of Business Research, Elsevier, vol. 130(C), pages 453-461.
  20. Myles Landers, V. & Esmark Jones, Carol L. & Barney, Christian, 2024. "The social influence of employee groups: Understanding the impact of employee groups on customer intentions through intimidation," Journal of Business Research, Elsevier, vol. 170(C).
  21. Zhang, Mingyue & Zhao, Haichuan & Chen, Haipeng (Allan), 2022. "How much is a picture worth? Online review picture background and its impact on purchase intention," Journal of Business Research, Elsevier, vol. 139(C), pages 134-144.
  22. Davis, Joshua M. & Agrawal, Deepti, 2018. "Understanding the role of interpersonal identification in online review evaluation: An information processing perspective," International Journal of Information Management, Elsevier, vol. 38(1), pages 140-149.
  23. Gobinda Roy & Biplab Datta & Rituparna Basu, 2017. "Effect of eWOM Valence on Online Retail Sales," Global Business Review, International Management Institute, vol. 18(1), pages 198-209, February.
  24. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
  25. Yani Wang & Jun Wang & Tang Yao, 2019. "What makes a helpful online review? A meta-analysis of review characteristics," Electronic Commerce Research, Springer, vol. 19(2), pages 257-284, June.
  26. Zhu, Yongmin & Liu, Miaomiao & Zeng, Xiaohua & Huang, Pei, 2020. "The effects of prior reviews on perceived review helpfulness: A configuration perspective," Journal of Business Research, Elsevier, vol. 110(C), pages 484-494.
  27. Sheng, Jie, 2019. "Being Active in Online Communications: Firm Responsiveness and Customer Engagement Behaviour," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 40-51.
  28. Liu, Yang & Chen, Yuan & Fan, Zhi-Ping, 2021. "Do social network crowds help fundraising campaigns? Effects of social influence on crowdfunding performance," Journal of Business Research, Elsevier, vol. 122(C), pages 97-108.
  29. Wang, Fang & Karimi, Sahar, 2019. "This product works well (for me): The impact of first-person singular pronouns on online review helpfulness," Journal of Business Research, Elsevier, vol. 104(C), pages 283-294.
  30. Guha Majumder, Madhumita & Dutta Gupta, Sangita & Paul, Justin, 2022. "Perceived usefulness of online customer reviews: A review mining approach using machine learning & exploratory data analysis," Journal of Business Research, Elsevier, vol. 150(C), pages 147-164.
  31. Liu, Fu & Wei, Haiying & Wang, Xingyuan & Zhu, Zhenzhong & Chen, Haipeng Allan, 2023. "The influence of online review dispersion on consumers’ purchase intention: The moderating role of dialectical thinking," Journal of Business Research, Elsevier, vol. 165(C).
  32. 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).
  33. Srivastava, Vartika & Kalro, Arti D., 2019. "Enhancing the Helpfulness of Online Consumer Reviews: The Role of Latent (Content) Factors," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 33-50.
  34. Lee, In, 2017. "Big data: Dimensions, evolution, impacts, and challenges," Business Horizons, Elsevier, vol. 60(3), pages 293-303.
  35. Shahzad, Khuram & Zhang, Qingyu & Zafar, Abaid Ullah & Ashfaq, Muhammad & Rehman, Shafique Ur, 2023. "The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  36. Ketron, Seth, 2017. "Investigating the effect of quality of grammar and mechanics (QGAM) in online reviews: The mediating role of reviewer crediblity," Journal of Business Research, Elsevier, vol. 81(C), pages 51-59.
  37. Chang, Shuchih Ernest & Shen, Wei-Cheng & Liu, Anne Yenching, 2016. "Why mobile users trust smartphone social networking services? A PLS-SEM approach," Journal of Business Research, Elsevier, vol. 69(11), pages 4890-4895.
  38. Boukis, Achilleas, 2023. "Storytelling in initial coin offerings: Attracting investment or gaining referrals?," Journal of Business Research, Elsevier, vol. 160(C).
  39. Rongqin Liu & Yun Zhang & Chuan Luo & Shangyu Tan & Yunqu Gong, 2024. "Review content type and hotel review helpfulness: direct and moderating effects," Information Technology and Management, Springer, vol. 25(4), pages 383-406, December.
  40. 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.
  41. Shimi Naurin Ahmad, 2017. "Uncovering the paths to helpful reviews using fuzzy-set qualitative comparative analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 5(2), pages 47-56, June.
  42. Chen, Feier & Liu, Stephanie Q. & Mattila, Anna S., 2020. "Bragging and humblebragging in online reviews," Annals of Tourism Research, Elsevier, vol. 80(C).
  43. Wu, Xiaoyue & Jin, Liyin & Xu, Qian, 2021. "Expertise Makes Perfect: How the Variance of a Reviewer's Historical Ratings Influences the Persuasiveness of Online Reviews," Journal of Retailing, Elsevier, vol. 97(2), pages 238-250.
  44. Pyle, Martin A. & Smith, Andrew N. & Chevtchouk, Yanina, 2021. "In eWOM we trust: Using naïve theories to understand consumer trust in a complex eWOM marketspace," Journal of Business Research, Elsevier, vol. 122(C), pages 145-158.
  45. Jansen, Thomas & Moura, Francisco Tigre, 2024. "WOM, eWOM and WOMachine: The evolution of consumer recommendations through a systematic review of 194 studies," IU Discussion Papers - Marketing & Communication 3 (Juni 2024), IU International University of Applied Sciences.
  46. Kübler, Raoul V. & Lobschat, Lara & Welke, Lina & van der Meij, Hugo, 2024. "The effect of review images on review helpfulness: A contingency approach," Journal of Retailing, Elsevier, vol. 100(1), pages 5-23.
  47. Jiahua Du & Jia Rong & Sandra Michalska & Hua Wang & Yanchun Zhang, 2019. "Feature selection for helpfulness prediction of online product reviews: An empirical study," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-26, December.
  48. 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.
  49. Shugang Li & Qian Dou & Hui Chen & Zhaoxu Yu, 2023. "The Impact of Consumer’s Adaptation to the Creative Culture of Theme Parks on Review Usefulness," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
  50. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
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