IDEAS home Printed from https://ideas.repec.org/r/eee/jouret/v87y2011i4p598-612.html

Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Mladenović, Dušan & Bruni, Roberto & Filieri, Raffaele & Ismagilova, Elvira & Kalia, Prateek & Jirásek, Michal, 2024. "The power of electronic Word of Mouth in inducing adoption of emerging technologies," Technology in Society, Elsevier, vol. 79(C).
  2. Konstantin Bauman & Alexander Tuzhilin, 2022. "Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes," Information Systems Research, INFORMS, vol. 33(1), pages 179-202, March.
  3. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.
  4. Razvan-Andrei Corbos & Ovidiu-Iulian Bunea & Andreea Breazu, 2025. "Influence of online consumer reviews on the sales of large household appliances: a survey in Romania," Electronic Commerce Research, Springer, vol. 25(4), pages 2503-2524, August.
  5. 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.
  6. 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.
  7. Wanshu Niu & Liqiang Huang & Xixi Li & Jie Zhang & Mingliang Chen, 2023. "Beyond the review information: an investigation of individual- and group-based presentation forms of review information," Information Technology and Management, Springer, vol. 24(2), pages 159-176, June.
  8. Pooja Katyal & Reetika Sehgal & Anand Kumar Gupta, 2025. "The impact of online consumer reviews on purchase intentions for electronic products," 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. 16(9), pages 3178-3197, September.
  9. Zheng, Lili, 2021. "The classification of online consumer reviews: A systematic literature review and integrative framework," Journal of Business Research, Elsevier, vol. 135(C), pages 226-251.
  10. Duan, Yongrui & Liu, Tonghui & Mao, Zhixin, 2022. "How online reviews and coupons affect sales and pricing: An empirical study based on e-commerce platform," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
  11. 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.
  12. Munzel, Andreas, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 96-108.
  13. 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.
  14. Fink, Lior & Rosenfeld, Liron & Ravid, Gilad, 2018. "Longer online reviews are not necessarily better," International Journal of Information Management, Elsevier, vol. 39(C), pages 30-37.
  15. Guo, Junpeng & Wang, Xiaopan & Wu, Yi, 2020. "Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
  16. Daniele Dalli & Annamaria Tuan & David D?Acunto, 2018. "How online reviewers and actual customers evaluate their shopping experiences. Evidence from an international retail chain," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2018(3), pages 163-180.
  17. 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).
  18. Harrison-Walker, L. Jean & Jiang, Ying, 2023. "Suspicion of online product reviews as fake: Cues and consequences," Journal of Business Research, Elsevier, vol. 160(C).
  19. 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.
  20. Zhuolan Bao & Wenwen Li & Pengzhen Yin & Michael Chau, 2021. "Examining the impact of review tag function on product evaluation and information perception of popular products," Information Systems and e-Business Management, Springer, vol. 19(2), pages 517-539, June.
  21. Heejae Shin & Wirawan Dahana, 2017. "Asymmetric Persuasive Effects of Gain- and Loss-related Messages in Electronic Word of Mouth," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(12), pages 1-82, November.
  22. 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).
  23. Dezhi Yin & Sabyasachi Mitra & Han Zhang, 2016. "Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth," Information Systems Research, INFORMS, vol. 27(1), pages 131-144, March.
  24. 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.
  25. Hu, Ya-Han & Chen, Kuanchin, 2016. "Predicting hotel review helpfulness: The impact of review visibility, and interaction between hotel stars and review ratings," International Journal of Information Management, Elsevier, vol. 36(6), pages 929-944.
  26. Xunhua Guo & Guoqing Chen & Cong Wang & Qiang Wei & Zunqiang Zhang, 2021. "Calibration of Voting-Based Helpfulness Measurement for Online Reviews: An Iterative Bayesian Probability Approach," INFORMS Journal on Computing, INFORMS, vol. 33(1), pages 246-261, January.
  27. Lorenz Graf-Vlachy & Tarun Goyal & Yannick Ouardi & Andreas König, 2021. "Reviews Left and Right: The Link Between Reviewers’ Political Ideology and Online Review Language," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 403-417, August.
  28. Chen, Lele & Jing, Kunpeng & Mei, Yupeng, 2024. "The effect of consumption goals on review helpfulness: Behavioral and eye-tracking research," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
  29. Janina Seutter & Kristin Kutzner & Maren Stadtländer & Dennis Kundisch & Ralf Knackstedt, 2023. "“Sorry, too much information”—Designing online review systems that support information search and processing," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-19, December.
  30. 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.
  31. Zhang, Yuhao & Li, Qianru & Yan, Jinzhe, 2025. "Exploring multimodal factors in online reviews: A machine learning approach to evaluating content effectiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
  32. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Grenoble Ecole de Management (Post-Print) halshs-01923243, HAL.
  33. Zhang, Jin & Liu, Guannan & Ren, Ming, 2016. "Finding a representative subset from large-scale documents," Journal of Informetrics, Elsevier, vol. 10(3), pages 762-775.
  34. 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.
  35. 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).
  36. Vamsi Vallurupalli & Indranil Bose, 2020. "Exploring thematic composition of online reviews: A topic modeling approach," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 791-804, December.
  37. Chuanmei Zhou & Shuiqing Yang & Yuangao Chen & Shasha Zhou & Yixiao Li & Atika Qazi, 2023. "How does topic consistency affect online review helpfulness? The role of review emotional intensity," Electronic Commerce Research, Springer, vol. 23(4), pages 2943-2978, December.
  38. Meiseberg, Brinja, 2016. "The Effectiveness of E-tailers’ Communication Practices in Stimulating Sales of Niche versus Popular Products," Journal of Retailing, Elsevier, vol. 92(3), pages 319-332.
  39. Rosillo-Díaz, Elena & Muñoz-Rosas, Juan Francisco & Blanco-Encomienda, Francisco Javier, 2024. "Impact of heuristic–systematic cues on the purchase intention of the electronic commerce consumer through the perception of product quality," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  40. Xiaobei Liang & Xiaojuan Hu & Jiang Jiang, 2020. "Research on the Effects of Information Description on Crowdfunding Success within a Sustainable Economy—The Perspective of Information Communication," Sustainability, MDPI, vol. 12(2), pages 1-36, January.
  41. Wei, Siqi & Zhao, Yanhui, 2025. "Kick the cat? Retail investors displaced aggression: Evidence from amazon product ratings," Journal of Behavioral and Experimental Finance, Elsevier, vol. 46(C).
  42. Zhang, Chenxi & Xu, Zeshui, 2024. "Gaining insights for service improvement through unstructured text from online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
  43. Miyea Kim & Jeongsoo Han & Mina Jun, 2020. "Do same-level review ratings have the same level of review helpfulness? The role of information diagnosticity in online reviews," Information Technology & Tourism, Springer, vol. 22(4), pages 563-591, December.
  44. Kim, Da Yeon & Kim, Sang Yong, 2023. "Investigating the effect of customer-generated content on performance in online platform-based experience goods market," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
  45. 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.
  46. Hossin Md Altab & Mu Yinping & Hosain Md Sajjad & Adasa Nkrumah Kofi Frimpong & Michelle Frempomaa Frempong & Stephen Sarfo Adu-Yeboah, 2022. "Understanding Online Consumer Textual Reviews and Rating: Review Length With Moderated Multiple Regression Analysis Approach," SAGE Open, , vol. 12(2), pages 21582440221, June.
  47. Warut Khern-am-nuai & Karthik Kannan & Hossein Ghasemkhani, 2018. "Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform," Information Systems Research, INFORMS, vol. 29(4), pages 871-892, December.
  48. Yi Feng & Yunqiang Yin & Dujuan Wang & Lalitha Dhamotharan & Joshua Ignatius & Ajay Kumar, 2023. "Diabetic patient review helpfulness: unpacking online drug treatment reviews by text analytics and design science approach," Annals of Operations Research, Springer, vol. 328(1), pages 387-418, September.
  49. 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).
  50. Filipe Sengo Furtado & Thomas Reutterer & Nadine Schröder, 2022. "The carrot and the stick in online reviews: determinants of un-/helpfulness voting choices," Journal of Business Economics, Springer, vol. 92(4), pages 565-590, May.
  51. Wenlong Liu & Rongrong Ji, 2019. "Do Hotel Responses Matter?: A Comprehensive Perspective on Investigating Online Reviews," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 32(3), pages 70-89, July.
  52. Rese, Alexandra & Baier, Daniel & Geyer-Schulz, Andreas & Schreiber, Stefanie, 2017. "How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 306-319.
  53. 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.
  54. 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).
  55. R. Filieri & F. Acikgoz & D. Hao, 2023. "Electronic word-of-mouth from video bloggers: The role of content quality and source homophily across hedonic and utilitarian products," Post-Print hal-04713695, HAL.
  56. Moon, Sangkil & Kim, Seung-Wook & Iacobucci, Dawn, 2024. "Dynamic relationship changes between reviewers and consumers in online product reviews," Journal of Retailing, Elsevier, vol. 100(1), pages 70-84.
  57. Ravula, Prashanth & Bhatnagar, Amit & Gauri, Dinesh K, 2023. "Role of gender in the creation and persuasiveness of online reviews," Journal of Business Research, Elsevier, vol. 154(C).
  58. Muhammad Rifki Shihab & Audry Pragita Putri, 2019. "Negative online reviews of popular products: understanding the effects of review proportion and quality on consumers’ attitude and intention to buy," Electronic Commerce Research, Springer, vol. 19(1), pages 159-187, March.
  59. Yao, Qi & Kuai, Ling & Wang, Cheng Lu, 2022. "How frontline employees' communication styles affect consumers' willingness to interact: The boundary condition of emotional ability similarity," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
  60. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
  61. Wenyi Tay & Xiuzhen Zhang & Sarvnaz Karimi, 2020. "Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(7), pages 784-799, July.
  62. Yoon-Joo Park, 2018. "Predicting the Helpfulness of Online Customer Reviews across Different Product Types," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
  63. Wenlong Liu & Rongrong Ji & Chen (Peter) Nian & Kisang Ryu, 2020. "Identifying the Types and Impact of Service Provider’s Responses to Online Negative Reviews in the Sharing Economy: Evidence from B&Bs in China," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
  64. 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.
  65. 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.
  66. Gallo, Iñigo & Townsend, Claudia & Alegre, Inés, 2019. "Experiential product framing and its influence on the creation of consumer reviews," Journal of Business Research, Elsevier, vol. 98(C), pages 177-190.
  67. Wang, Feng & Liu, Xuefeng & Fang, Eric (Er), 2015. "User Reviews Variance, Critic Reviews Variance, and Product Sales: An Exploration of Customer Breadth and Depth Effects," Journal of Retailing, Elsevier, vol. 91(3), pages 372-389.
  68. Ina Garnefeld & Sabrina Helm & Ann-Kathrin Grötschel, 2020. "May we buy your love? psychological effects of incentives on writing likelihood and valence of online product reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 805-820, December.
  69. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics," Grenoble Ecole de Management (Post-Print) halshs-01923196, HAL.
  70. Kraemer, Tobias & Weiger, Welf H. & Heidenreich, Sven, 2025. "Do all stars shine the same? Investigating the nonlinear effects of user and critic reviews on video game sales," Journal of Business Research, Elsevier, vol. 188(C).
  71. 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.
  72. Xu, Xun, 2020. "Examining an asymmetric effect between online customer reviews emphasis and overall satisfaction determinants," Journal of Business Research, Elsevier, vol. 106(C), pages 196-210.
  73. Nisar, Tahir M. & Prabhakar, Guru, 2018. "Trains and Twitter: Firm generated content, consumer relationship management and message framing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 318-334.
  74. 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.
  75. Bin Guo & Shasha Zhou, 2017. "What makes population perception of review helpfulness: an information processing perspective," Electronic Commerce Research, Springer, vol. 17(4), pages 585-608, December.
  76. Ravula, Prashanth & Jha, Subhash & Biswas, Abhijit, 2022. "Relative persuasiveness of repurchase intentions versus recommendations in online reviews," Journal of Retailing, Elsevier, vol. 98(4), pages 724-740.
  77. Mohammadreza Mousavizadeh & Mehrdad Koohikamali & Mohammad Salehan & Dam J. Kim, 2022. "An Investigation of Peripheral and Central Cues of Online Customer Review Voting and Helpfulness through the Lens of Elaboration Likelihood Model," Information Systems Frontiers, Springer, vol. 24(1), pages 211-231, February.
  78. Augusto, Mário & Godinho, Pedro & Torres, Pedro, 2019. "Building customers’ resilience to negative information in the airline industry," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 235-248.
  79. Li, Yiming & Li, Gang & Tayi, Giri Kumar & Cheng, T.C.E., 2019. "Omni-channel retailing: Do offline retailers benefit from online reviews?," International Journal of Production Economics, Elsevier, vol. 218(C), pages 43-61.
  80. Jifeng Luo & Ying Rong & Huan Zheng, 2020. "Impacts of logistics information on sales: Evidence from Alibaba," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 646-669, December.
  81. Hsiang-Ming Lee & Tsai Chen & Ya-Hui Hsu & Yu-Chi Wu, 2018. "Effect Of Complementary Product Fit And Brand Awareness On Brand Attitude After M&As: Word Of Mouth As A Moderator," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 12(1), pages 51-67.
  82. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
  83. Guyt, Jonne Y. & Datta, Hannes & Boegershausen, Johannes, 2024. "Unlocking the Potential of Web Data for Retailing Research," Journal of Retailing, Elsevier, vol. 100(1), pages 130-147.
  84. Xiaomo Liu & G. Alan Wang & Weiguo Fan & Zhongju Zhang, 2020. "Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis," Information Systems Research, INFORMS, vol. 31(3), pages 731-752, September.
  85. 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).
  86. Juan Feng & Xin Li & Xiaoquan (Michael) Zhang, 2019. "Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence," Information Systems Research, INFORMS, vol. 30(4), pages 1107-1123, December.
  87. R. Filieri & S. Alguezaui & F. Galati & E. Raguseo, 2023. "Customer experience with standard and premium Peer-To-Peer offerings: a mixed-method combining text analytics and qualitative analysis," Post-Print hal-04474167, HAL.
  88. 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.
  89. Román, Sergio & Riquelme, Isabel P. & Iacobucci, Dawn, 2024. "Antecedents and consequences of perceived helpfulness of extremely positive and exaggerated reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
  90. Zhihong Ke & De Liu & Daniel J. Brass, 2020. "Do Online Friends Bring Out the Best in Us? The Effect of Friend Contributions on Online Review Provision," Information Systems Research, INFORMS, vol. 31(4), pages 1322-1336, December.
  91. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics," Post-Print halshs-01923196, HAL.
  92. Zhang, Ziqiong & Wang, Bowen & Law, Rob & Han, Yu, 2024. "Public health emergencies and travelers' review efforts," Annals of Tourism Research, Elsevier, vol. 106(C).
  93. Muhammad Rasheed & Mushaf Ismail & Dr. Ahmad Sohail Lodhi & Rida, 2023. "Exploring Perceptions and Realities of Online Shopping: A Study on Youth E-Consumers in Lahore, Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(3), pages 667-676.
  94. Osterbrink Lars & Alpar Paul & Seher Alexander, 2020. "Influence of Images in Online Reviews for Search Goods on Helpfulness," Review of Marketing Science, De Gruyter, vol. 18(1), pages 43-73, September.
  95. Gottschalk, Sabrina A. & Mafael, Alexander, 2017. "Cutting Through the Online Review Jungle — Investigating Selective eWOM Processing," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 89-104.
  96. Jiménez, Fernando R. & Mendoza, Norma A., 2013. "Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products," Journal of Interactive Marketing, Elsevier, vol. 27(3), pages 226-235.
  97. Takumi Kato, 2022. "Rating valence versus rating distribution: perceived helpfulness of word of mouth in e-commerce," SN Business & Economics, Springer, vol. 2(11), pages 1-24, November.
  98. Chenyi He & Lijia Shi & Zhifeng Gao & Lisa House, 2020. "The impact of customer ratings on consumer choice of fresh produce: A stated preference experiment approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 359-373, September.
  99. Ackermann, Malte, 2013. "The communication of innovation: an empirical analysis of the advancement of innovation," Discussion Papers on Strategy and Innovation 13-02, Philipps-University Marburg, Department of Technology and Innovation Management (TIM).
  100. Dongpu Fu & Yili Hong & Kanliang Wang & Weiguo Fan, 2018. "Effects of membership tier on user content generation behaviors: evidence from online reviews," Electronic Commerce Research, Springer, vol. 18(3), pages 457-483, September.
  101. Pandey, Prince & Singh, Jyoti Prakash, 2025. "Generating product reviews from aspect-based ratings using large language models," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
  102. Jin, Liyin & Hu, Bingyan & He, Yanqun, 2014. "The Recent versus The Out-Dated: An Experimental Examination of the Time-Variant Effects of Online Consumer Reviews," Journal of Retailing, Elsevier, vol. 90(4), pages 552-566.
  103. Lee, Na Young & Noble, Stephanie M. & Zablah, Alex R., 2020. "So distant, yet useful: The impact of distal stories on customers’ service expectations," Journal of Business Research, Elsevier, vol. 113(C), pages 230-242.
  104. Rachita Kashyap & Ankit Kesharwani & Abhilash Ponnam, 2023. "Measurement of online review helpfulness: a formative measure development and validation," Electronic Commerce Research, Springer, vol. 23(4), pages 2183-2216, December.
  105. 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.
  106. Michael Scholz & Verena Dorner, 2013. "The Recipe for the Perfect Review?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 141-151, June.
  107. Ahmad, Shimi Naurin & Laroche, Michel, 2017. "Analyzing electronic word of mouth: A social commerce construct," International Journal of Information Management, Elsevier, vol. 37(3), pages 202-213.
  108. Sangjae Lee & Joon Yeon Choeh, 2020. "Using the Social Influence of Electronic Word-of-Mouth for Predicting Product Sales: The Moderating Effect of Review or Reviewer Helpfulness and Product Type," Sustainability, MDPI, vol. 12(19), pages 1-18, September.
  109. Yi Luo & Xiaowei Xu, 2019. "Predicting the Helpfulness of Online Restaurant Reviews Using Different Machine Learning Algorithms: A Case Study of Yelp," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
  110. Ulu, Sevincgul & Uslay, Can & Yeniyurt, Sengun (Shen), 2025. "Is this review Helpful? How product gender, verification, and valence shape perceived helpfulness," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
  111. Jinyang Zheng & Guopeng Yin & Yong Tan & Jianing Ding, 2024. "Does Help Help? An Empirical Analysis of Social Desirability Bias in Ratings," Information Systems Research, INFORMS, vol. 35(3), pages 1052-1073, September.
  112. Filieri, Raffaele & Acikgoz, Fulya & Du, Hao, 2023. "Electronic word-of-mouth from video bloggers: The role of content quality and source homophily across hedonic and utilitarian products," Journal of Business Research, Elsevier, vol. 160(C).
  113. Wang, Fang & Du, Zhao & Wang, Shan, 2023. "Information multidimensionality in online customer reviews," Journal of Business Research, Elsevier, vol. 159(C).
  114. Srikanth Parameswaran & Pubali Mukherjee & Rohit Valecha, 2023. "I Like My Anonymity: An Empirical Investigation of the Effect of Multidimensional Review Text and Role Anonymity on Helpfulness of Employer Reviews," Information Systems Frontiers, Springer, vol. 25(2), pages 853-870, April.
  115. Nima Jalali & Sangkil Moon & Moon-Yong Kim, 2023. "Profiling diverse reviewer segments using online reviews of service industries," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 130-148, June.
  116. Ruan, Lei & Yang, Liwen, 2025. "Investor-company interactions and stock price crash risk: Evidence from China," Research in International Business and Finance, Elsevier, vol. 76(C).
  117. 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).
  118. Filieri, Raffaele & Alguezaui, Salma & Galati, Francesco & Raguseo, Elisabetta, 2023. "Customer experience with standard and premium Peer-To-Peer offerings: A mixed-method combining text analytics and qualitative analysis," Journal of Business Research, Elsevier, vol. 167(C).
  119. Qing Yao & Yixuan Han & Defeng Yang, 2024. "Should online reviews include pictures? The impact of fit between product type and online review presentation format," Australian Journal of Management, Australian School of Business, vol. 49(3), pages 509-527, August.
  120. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Post-Print halshs-01923243, HAL.
  121. Jin Li & Yulan Zhang & Jianping Li & Jiangze Du, 2023. "The Role of Sentiment Tendency in Affecting Review Helpfulness for Durable Products: Nonlinearity and Complementarity," Information Systems Frontiers, Springer, vol. 25(4), pages 1459-1477, August.
  122. Scott Motyka & Dhruv Grewal & Elizabeth Aguirre & Dominik Mahr & Ko Ruyter & Martin Wetzels, 2018. "The emotional review–reward effect: how do reviews increase impulsivity?," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1032-1051, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.