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Enhancing the Helpfulness of Online Consumer Reviews: The Role of Latent (Content) Factors

Citations

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Cited by:

  1. 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).
  2. 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.
  3. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
  4. Jiaqi Wang & Peng Zou & Bo Yu, 2024. "How online exposure to nature affects customer engagement: Evidence from Sina Weibo," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-17, December.
  5. Borghi, Matteo & Mariani, Marcello M., 2022. "The role of emotions in the consumer meaning-making of interactions with social robots," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  6. 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).
  7. 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.
  8. Zhao, Lu & Zhang, Mingli & Ming, Yaxin & Niu, Tao & Wang, Yu, 2023. "The effect of image richness on customer engagement: Evidence from Sina Weibo," Journal of Business Research, Elsevier, vol. 154(C).
  9. Yanni Ping & Chelsey Hill & Yun Zhu & Jorge Fresneda, 2023. "Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach," Electronic Commerce Research, Springer, vol. 23(3), pages 1459-1484, September.
  10. 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.
  11. 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).
  12. Ki-Kwang Lee & Hong-Hee Lee & Su-Ji Cho & Gyung-Su Min, 2022. "The context-based review recommendation system in e-business platform," Service Business, Springer;Pan-Pacific Business Association, vol. 16(4), pages 991-1013, December.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Yukyung Son & Kyungmo Kang & Ilyoung Choi & Jaekyeong Kim, 2022. "The Determinants of Helpful Hotel Reviews: A Social Influence Perspective," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
  18. 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).
  19. Shan-Shan Liao & Ching-Yuan Lin & Ying-Ji Chuang & Xing-Zheng Xie, 2020. "The Role of Social Capital for Short-Video Platform Users’ Travel Intentions: SEM and Fsqca Findings," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
  20. 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.
  21. Mulier, Lana & Slabbinck, Hendrik & Vermeir, Iris, 2021. "This Way Up: The Effectiveness of Mobile Vertical Video Marketing," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 1-15.
  22. 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.
  23. Hou, Lei, 2022. "Network versus content: The effectiveness in identifying opinion leaders in an online social network with empirical evaluation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
  24. Fernandes, Semila & Panda, Rajesh & Venkatesh, V.G. & Swar, Biranchi Narayan & Shi, Yangyan, 2022. "Measuring the impact of online reviews on consumer purchase decisions – A scale development study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
  25. Le, Loc Tuan & Ly, Pham Thi Minh & Nguyen, Nhan Thanh & Tran, Lobel Trong Thuy, 2022. "Online reviews as a pacifying decision-making assistant," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  26. 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).
  27. 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.
  28. 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.
  29. Goic, Marcel & Rojas, Andrea & Saavedra, Ignacio, 2021. "The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 118-145.
  30. Junpeng Guo & Siyuan Gou & Wenhua Li, 2024. "Helpful advertising messages reach consumers through user-generated videos: an empirical study from the audience involvement perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 290-306, June.
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