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Manufactured opinions: The effect of manipulating online product reviews

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Cited by:

  1. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Kumar, Ajay & Lu Wang, Cheng & Gupta, Shivam, 2023. "Impacts of consumer cognitive process to ascertain online fake review: A cognitive dissonance theory approach," Journal of Business Research, Elsevier, vol. 154(C).
  2. Chunting Liu & Shanshan Wang & Guozhu Jia, 2020. "Exploring E-Commerce Big Data and Customer-Perceived Value: An Empirical Study on Chinese Online Customers," Sustainability, MDPI, vol. 12(20), pages 1-22, October.
  3. Bozkurt, Sıddık & Welch, Emma & Gligor, David & Gligor, Nichole & Garg, Vipul & Gopalakrishna Pillai, Kishore, 2023. "Unpacking the experience of individuals engaging in incentivized false (and genuine) positive reviews: The impact on brand satisfaction," Journal of Business Research, Elsevier, vol. 165(C).
  4. Azemi, Yllka & Ozuem, Wilson & Howell, Kerry E. & Lancaster, Geoff, 2019. "An exploration into the practice of online service failure and recovery strategies in the Balkans," Journal of Business Research, Elsevier, vol. 94(C), pages 420-431.
  5. 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.
  6. 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).
  7. Xinxin Guo & Juho Pesonen & Raija Komppula, 2021. "Comparing online travel review platforms as destination image information agents," Information Technology & Tourism, Springer, vol. 23(2), pages 159-187, June.
  8. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
  9. Braganza, Oliver, 2022. "Market paternalism: Do people really want to be nudged towards consumption?," ifso working paper series 23, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
  10. Ke Rong & Di Zhou & Xinwei Shi & Wei Huang, 2022. "Social Information Disclosure of Friends in Common in an E‐commerce Platform Ecosystem: An Online Experiment," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 984-1005, March.
  11. Qin-Min Wu, 2024. "The Influence of Online Reviews on the Purchasing Decisions of Travel Consumers," Sustainability, MDPI, vol. 16(8), pages 1-17, April.
  12. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
  13. Nick Drydakis, 2022. "Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," Information Systems Frontiers, Springer, vol. 24(4), pages 1223-1247, August.
  14. 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.
  15. Banerjee, Snehasish & Chua, Alton Y.K., 2023. "Understanding online fake review production strategies," Journal of Business Research, Elsevier, vol. 156(C).
  16. Vahid Rahmani, 2023. "Persuasion knowledge framework: Toward a comprehensive model of consumers’ persuasion knowledge," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 12-33, June.
  17. Cui, Geng & Chung, Yuho & Peng, Ling & Zheng, Wanyi, 2022. "The importance of being earnest: Mandatory vs. voluntary disclosure of incentives for online product reviews," Journal of Business Research, Elsevier, vol. 141(C), pages 633-645.
  18. Lingli Luo & Xufei Ma & Zeyu Wang, 2022. "The moderate-reputation trap: Evidence from a Chinese cross-border business-to-business e-commerce portal," Asia Pacific Journal of Management, Springer, vol. 39(2), pages 395-432, June.
  19. Wang, Qiang & Zhang, Wen & Li, Jian & Ma, Zhenzhong, 2023. "Complements or confounders? A study of effects of target and non-target features on online fraudulent reviewer detection," Journal of Business Research, Elsevier, vol. 167(C).
  20. Wen Zhang & Qiang Wang & Jian Li & Zhenzhong Ma & Gokul Bhandari & Rui Peng, 2023. "What makes deceptive online reviews? A linguistic analysis perspective," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
  21. Moldovan, Sarit & Shoham, Meyrav & Steinhart, Yael, 2023. "Sending mixed signals: How congruent versus incongruent signals of popularity affect product appeal," International Journal of Research in Marketing, Elsevier, vol. 40(4), pages 881-897.
  22. Petrescu, Maria & Ajjan, Haya & Harrison, Dana L., 2023. "Man vs machine – Detecting deception in online reviews," Journal of Business Research, Elsevier, vol. 154(C).
  23. 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).
  24. Das, Ronnie & Ahmed, Wasim & Sharma, Kshitij & Hardey, Mariann & Dwivedi, Yogesh K. & Zhang, Ziqi & Apostolidis, Chrysostomos & Filieri, Raffaele, 2024. "Towards the development of an explainable e-commerce fake review index: An attribute analytics approach," European Journal of Operational Research, Elsevier, vol. 317(2), pages 382-400.
  25. Naeem, Muhammad & Ozuem, Wilson, 2021. "The role of social media in internet banking transition during COVID-19 pandemic: Using multiple methods and sources in qualitative research," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
  26. Liting Li & Haichao Zheng & Dongyu Chen & Bin Zhu, 2024. "Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 24(3), pages 1619-1658, September.
  27. Ao Shen & Peng Wang & Yongyuan Ma, 2022. "When crowding‐in and when crowding‐out? The boundary conditions on the relationship between negative online reviews and online sales," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2016-2032, September.
  28. Costa Filho, Murilo & Nogueira Rafael, Diego & Salmonson Guimarães Barros, Lucia & Mesquita, Eduardo, 2023. "Mind the fake reviews! Protecting consumers from deception through persuasion knowledge acquisition," Journal of Business Research, Elsevier, vol. 156(C).
  29. Katarzyna Sanak-Kosmowska & Jan W. Wiktor, 2020. "Empirical Identification of Latent Classes in the Assessment of Information Asymmetry and Manipulation in Online Advertising," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
  30. Ashley E. Cooper & Dalia L. Diab & Kortni M. Beeson, 2020. "Why Spelling Errors Matter: Online Company Reviews and Organizational Attraction," Corporate Reputation Review, Palgrave Macmillan, vol. 23(3), pages 160-169, August.
  31. Tim Kollmer & Andreas Eckhardt & Victoria Reibenspiess, 2022. "Explaining consumer suspicion: insights of a vignette study on online product reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1221-1238, September.
  32. Verma, Deepak & Prakash Dewani, Prem & Behl, Abhishek & Pereira, Vijay & Dwivedi, Yogesh & Del Giudice, Manilo, 2023. "A meta-analysis of antecedents and consequences of eWOM credibility: Investigation of moderating role of culture and platform type," Journal of Business Research, Elsevier, vol. 154(C).
  33. 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).
  34. Wu, Ruhai & Qiu, Chun, 2023. "When Karma strikes back: A model of seller manipulation of consumer reviews in an online marketplace," Journal of Business Research, Elsevier, vol. 155(PB).
  35. 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).
  36. 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.
  37. Qiang Wang & Wen Zhang & Jian Li & Feng Mai & Zhenzhong Ma, 2024. "The devil is in the details! Effect of differentiated platform governance on online review manipulation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
  38. Ko, Eunhee Emily & Bowman, Douglas, 2023. "Suspicious online product reviews: An empirical analysis of brand and product characteristics using Amazon data," International Journal of Research in Marketing, Elsevier, vol. 40(4), pages 898-911.
  39. Hajek, Petr & Hikkerova, Lubica & Sahut, Jean-Michel, 2023. "Fake review detection in e-Commerce platforms using aspect-based sentiment analysis," Journal of Business Research, Elsevier, vol. 167(C).
  40. Inmaculada Rabadán-Martín & Francisco Aguado-Correa & Nuria Padilla-Garrido, 2019. "Facing new challenges in rural tourism: signaling quality via website," Information Technology & Tourism, Springer, vol. 21(4), pages 559-576, December.
  41. Birim, Şule Öztürk & Kazancoglu, Ipek & Kumar Mangla, Sachin & Kahraman, Aysun & Kumar, Satish & Kazancoglu, Yigit, 2022. "Detecting fake reviews through topic modelling," Journal of Business Research, Elsevier, vol. 149(C), pages 884-900.
  42. Mardumyan, Anna & Siret, Iris, 2023. "When review verification does more harm than good: How certified reviews determine customer–brand relationship quality," Journal of Business Research, Elsevier, vol. 160(C).
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