IDEAS home Printed from https://ideas.repec.org/r/eee/touman/v47y2015icp140-151.html
   My bibliography  Save this item

What makes a useful online review? Implication for travel product websites

Citations

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


Cited by:

  1. Zhu, Dong Hong & Deng, Zhong Zhun & Chang, Ya Ping, 2020. "Understanding the influence of submission devices on online consumer reviews:A comparison between smartphones and PCs," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
  2. Onofrei, George & Filieri, Raffaele & Kennedy, Lorraine, 2022. "Social media interactions, purchase intention, and behavioural engagement: The mediating role of source and content factors," Journal of Business Research, Elsevier, vol. 142(C), pages 100-112.
  3. Younghoon Lee & Sungzoon Cho & Jinhae Choi, 2021. "Determining user needs through abnormality detection and heterogeneous embedding of usage sequence," Electronic Commerce Research, Springer, vol. 21(2), pages 245-261, June.
  4. 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).
  5. Oun-Joung Park & Jong-hyun Ryu, 2019. "Cognitive fit effects of online reviews on tourists’ information search," Information Technology & Tourism, Springer, vol. 21(3), pages 313-335, September.
  6. Taekyung Kim & Hwirim Jo & Yerin Yhee & Chulmo Koo, 2022. "Robots, artificial intelligence, and service automation (RAISA) in hospitality: sentiment analysis of YouTube streaming data," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 259-275, March.
  7. Manosso, Franciele Cristina & Domareski Ruiz, Thays Cristina, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7, pages 16-27.
  8. Yen-Liang Chen & Chia-Ling Chang & An-Qiao Sung, 2021. "Predicting eWOM’s Influence on Purchase Intention Based on Helpfulness, Credibility, Information Quality and Professionalism," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
  9. 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.
  10. Enrique Bigne & Carla Ruiz & Carmen Perez-Cabañero & Antonio Cuenca, 2023. "Are customer star ratings and sentiments aligned? A deep learning study of the customer service experience in tourism destinations," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 281-314, March.
  11. Jolanta Tkaczyk, 2016. "The Importance of Similarity and Expertise of the Information Source in the Word-Of-Mouth Communication Process," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 2(1), pages 61-71, July.
  12. Annika Veh & Markus Göbel & Rick Vogel, 2019. "Corporate reputation in management research: a review of the literature and assessment of the concept," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 315-353, December.
  13. Yulin Chen, 2019. "Information Clues and Emotional Intentions: A Case Study of the Regional Image of the Cultural and Creative Community," Administrative Sciences, MDPI, vol. 9(2), pages 1-27, May.
  14. Ruwan Jayathilaka & Thanuja Dharmasena & Nizamuddin Rezahi & Sukheetha Haththotuwegama, 2020. "The impact of online reviews on inbound travellers’ decision making," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 1005-1021, June.
  15. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
  16. Moriuchi, Emi & Takahashi, Ikuo, 2018. "An empirical investigation of the factors motivating Japanese repeat consumers to review their shopping experiences," Journal of Business Research, Elsevier, vol. 82(C), pages 381-390.
  17. 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.
  18. 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).
  19. Wenlong Liu & Rongrong Ji, 2018. "Examining the Role of Online Reviews in Chinese Online Group Buying Context: The Moderating Effect of Promotional Marketing," Social Sciences, MDPI, vol. 7(8), pages 1-17, August.
  20. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
  21. Zhu, John Jianjun & Chang, Yung-Chun & Ku, Chih-Hao & Li, Stella Yiyan & Chen, Chi-Jen, 2021. "Online critical review classification in response strategy and service provider rating: Algorithms from heuristic processing, sentiment analysis to deep learning," Journal of Business Research, Elsevier, vol. 129(C), pages 860-877.
  22. 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.
  23. Zibarzani, Masoumeh & Abumalloh, Rabab Ali & Nilashi, Mehrbakhsh & Samad, Sarminah & Alghamdi, O.A. & Nayer, Fatima Khan & Ismail, Muhammed Yousoof & Mohd, Saidatulakmal & Mohammed Akib, Noor Adelyna, 2022. "Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology," Technology in Society, Elsevier, vol. 70(C).
  24. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
  25. Lidija Lalicic & Assumpció Huertas & Antonio Moreno & Mohammed Jabreel, 2019. "Which emotional brand values do my followers want to hear about? An investigation of popular European tourist destinations," Information Technology & Tourism, Springer, vol. 21(1), pages 63-81, March.
  26. Gengeswari Krishnapillai & Kwok See Ying, 2017. "The Infl uence of Electronic-Word-of-Mouth on Travel Intention among Foreign Students in Malaysia: Does Gender Really Matter?," International Review of Management and Marketing, Econjournals, vol. 7(1), pages 475-483.
  27. Chenyu Zhang & Junkyu Park & Mark A. Bonn & Meehee Cho, 2021. "Understanding Customer Responses to Service Failures during the COVID-19 Pandemic for Sustained Restaurant Businesses: Focusing on Guanxi," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
  28. Sungwoo Choi & Anna S. Mattila, 2018. "The Effect of Experience Congruity on Repurchase Intention: The Moderating Role of Public Commitment," Service Science, INFORMS, vol. 10(2), pages 124-138, June.
  29. Robert Zinko & Paul Stolk & Zhan Furner & Brad Almond, 2020. "A picture is worth a thousand words: how images influence information quality and information load in online reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 775-789, December.
  30. Hoon S. Choi & Michele Maasberg, 2022. "An empirical analysis of experienced reviewers in online communities: what, how, and why to review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1293-1310, September.
  31. 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.
  32. 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.
  33. Wu, Laurie & Shen, Han & Fan, Alei & Mattila, Anna S., 2017. "The impact of language style on consumers′ reactions to online reviews," Tourism Management, Elsevier, vol. 59(C), pages 590-596.
  34. Shoukat Ali & Ramiz Ur Rehman & Muhammad Ishfaq Ahmad & Joe Ueng, 2021. "Does Board Diversity Attract Foreign Institutional Ownership? Insights from the Chinese Equity Market," JRFM, MDPI, vol. 14(11), pages 1-15, October.
  35. Huang, Zhao & Mou, Jian, 2021. "Gender differences in user perception of usability and performance of online travel agency websites," Technology in Society, Elsevier, vol. 66(C).
  36. Sunyoung Hlee & Hanna Lee & Chulmo Koo, 2018. "Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
  37. Hu, Xin & He, Liuyi & Liu, Junjun, 2022. "Status reinforcing: Unintended rating bias on online shopping platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  38. 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.
  39. Caiwei Ma & Norman Au & Lianping Ren, 0. "Biased minds experience improved decision-making speed and confidence on social media: a heuristic approach," Information Technology & Tourism, Springer, vol. 0, pages 1-32.
  40. 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.
  41. Mateusz Naramski & Krzysztof Herman, 2019. "The Development of Mobile Tourism in the Upper Silesian Metropolitan Area of Poland," Sustainability, MDPI, vol. 12(1), pages 1-22, December.
  42. S. Cicognani & P. Figini & M. Magnani, 2016. "Social Influence Bias in Online Ratings: A Field Experiment," Working Papers wp1060, Dipartimento Scienze Economiche, Universita' di Bologna.
  43. Inmaculada Rabadán-Martín & Francisco Aguado-Correa & Nuria Padilla-Garrido, 2020. "Online reputation of 4- and 5-star hotels," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 26(1), pages 157-172, June.
  44. Samuel Bates, 2021. "A Glance at Tourism Economics over the last decade [Coup d'œil sur l'Économie du Tourisme de la dernière décennie]," Post-Print hal-03263048, HAL.
  45. 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.
  46. Boto-García, David & Leoni, Veronica, 2024. "Noisy signals: Does rating volatility depend on the length of the consumption span?," Economic Modelling, Elsevier, vol. 139(C).
  47. Su-min Yu & Zhi-jiao Du & Xu-dong Lin & Han-yang Luo & Jian-qiang Wang, 2020. "A Stochastic Dominance-Based Approach for Hotel Selection under Probabilistic Linguistic Environment," Mathematics, MDPI, vol. 8(9), pages 1-25, September.
  48. repec:ehu:cuader:36895 is not listed on IDEAS
  49. 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.
  50. Book, Laura A. & Tanford, Sarah & Chang, Wen, 2018. "Customer reviews are not always informative: The impact of effortful versus heuristic processing," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 272-280.
  51. Babajide Abubakr Muritala & Maria-Victoria Sánchez-Rebull & Ana-Beatriz Hernández-Lara, 2020. "A Bibliometric Analysis of Online Reviews Research in Tourism and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
  52. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
  53. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
  54. 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.
  55. Beatriz Benítez-Aurioles, 2022. "The exhaustion of the herding effect in peer-to-peer accommodation," Tourism Economics, , vol. 28(1), pages 27-43, February.
  56. Jooyoung Hwang & Anita Eves & Jason L. Stienmetz, 2021. "The Impact of Social Media Use on Consumers’ Restaurant Consumption Experiences: A Qualitative Study," Sustainability, MDPI, vol. 13(12), pages 1-33, June.
  57. Zhang, Ziqiong & Zhang, Zili & Yang, Yang, 2016. "The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior," Tourism Management, Elsevier, vol. 55(C), pages 15-24.
  58. Carlos Carrasco-Farré, 2022. "The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-18, December.
  59. Xu, Xun & Lee, Chieh, 2020. "Utilizing the platform economy effect through EWOM: Does the platform matter?," International Journal of Production Economics, Elsevier, vol. 227(C).
  60. Li, Hengyun & Wang, Qian & Li, Gang & Cai, Danting, 2023. "Do looks matter for hosts on the peer-to-peer sharing accommodation market?," Annals of Tourism Research, Elsevier, vol. 98(C).
  61. Ja-Shen Chen & Piyanoot Kamalanon & Thanyamai P. Janupiboon, 2022. "Company websites and mobile apps versus social media: which service experience creates more customer value for online travel agencies?," Service Business, Springer;Pan-Pacific Business Association, vol. 16(4), pages 1081-1110, December.
  62. Hao Yin & Elisabetta Cherchi, 2024. "Willingness to pay for automated taxis: a stated choice experiment to measure the impact of in-vehicle features and customer reviews," Transportation, Springer, vol. 51(1), pages 51-72, February.
  63. Ljubica Knezevic Cvelbar & Mojca Mayr & Damjan Vavpotic, 2018. "Geographical mapping of visitor flow in tourism," Tourism Economics, , vol. 24(6), pages 701-719, September.
  64. Singh, Amit & Jenamani, Mamata & Thakkar, Jitesh J. & Rana, Nripendra P., 2022. "Quantifying the effect of eWOM embedded consumer perceptions on sales: An integrated aspect-level sentiment analysis and panel data modeling approach," Journal of Business Research, Elsevier, vol. 138(C), pages 52-64.
  65. Nechoud, Lamia & Ghidouche, Faouzi & Seraphin, Hugues, 2021. "The influence of eWOM credibility on visit intention: An integrative moderated mediation model," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(1), pages 54-63.
  66. Yang, Luming & Xu, Min & Xing, Lin, 2022. "Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  67. Arenas-Márquez, F.J. & Martínez-Torres, M.R. & Toral, S.L., 2021. "How can trustworthy influencers be identified in electronic word-of-mouth communities?," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  68. Fang Lyu & Jaewon Choi, 2020. "The Forecasting Sales Volume and Satisfaction of Organic Products through Text Mining on Web Customer Reviews," Sustainability, MDPI, vol. 12(11), pages 1-23, May.
  69. Caiwei Ma & Norman Au & Lianping Ren, 2020. "Biased minds experience improved decision-making speed and confidence on social media: a heuristic approach," Information Technology & Tourism, Springer, vol. 22(4), pages 593-624, December.
  70. 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).
  71. Supratim Kundu & Swapnajit Chakraborti, 2022. "A comparative study of online consumer reviews of Apple iPhone across Amazon, Twitter and MouthShut platforms," Electronic Commerce Research, Springer, vol. 22(3), pages 925-950, September.
  72. Jacqueline-Nathalie Harba & Gabriela Tigu & Adriana AnaMaria Davidescu, 2021. "Exploring Consumer Emotions in Pre-Pandemic and Pandemic Times. A Sentiment Analysis of Perceptions in the Fine-Dining Restaurant Industry in Bucharest, Romania," IJERPH, MDPI, vol. 18(24), pages 1-24, December.
  73. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Stylos, Nikolaos, 2017. "‘You will like it!’ using open data to predict tourists' response to a tourist attraction," Tourism Management, Elsevier, vol. 60(C), pages 430-438.
  74. Chuanming Sun & Xingyu Chai & Qing Fan & Wenyuan Zhang, 2023. "The Impact of Hygiene Factors on Online Hotel Consumption in China during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
  75. 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.
  76. Liu, Xianwei & Law, Rob & Xu, Yukuan, 2019. "Does identity disclosure affect review extremity?," Annals of Tourism Research, Elsevier, vol. 77(C), pages 171-174.
  77. Liang, Sai & Li, Hui & Liu, Xianwei & Schuckert, Markus, 2019. "Motivators behind information disclosure: Evidence from Airbnb hosts," Annals of Tourism Research, Elsevier, vol. 76(C), pages 305-319.
  78. Sergio M. Fernández-Miguélez & Miguel Díaz-Puche & Juan A. Campos-Soria & Federico Galán-Valdivieso, 2020. "The Impact of Social Media on Restaurant Corporations’ Financial Performance," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
  79. Aitor García-Pablos & Montse Cuadros & Maria Teresa Linaza, 2016. "Automatic analysis of textual hotel reviews," Information Technology & Tourism, Springer, vol. 16(1), pages 45-69, March.
  80. Ghimire, Binam & Shanaev, Savva & Lin, Zhibin, 2022. "Effects of official versus online review ratings," Annals of Tourism Research, Elsevier, vol. 92(C).
  81. 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).
  82. 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).
  83. Baidyanath Biswas & Pooja Sengupta & Boudhayan Ganguly, 2022. "Your reviews or mine? Exploring the determinants of “perceived helpfulness” of online reviews: a cross-cultural study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1083-1102, September.
  84. Broeder Peter, 2022. "Profile Photos’ Impact in Online Reviews: The Effect of Cultural Differences," Review of Marketing Science, De Gruyter, vol. 20(1), pages 21-36, September.
  85. Emrah Sitki Yilmaz & Mehmet Aytekin, 2018. "The Determinants of Tourist Preferences of the Mediterranean Region in Turkey," Administrative Sciences, MDPI, vol. 8(4), pages 1-14, December.
  86. Kim, Yanghee & Lee, Minwoo & Kim, Byung-Do & Roh, Taewoo, 2024. "Power of agglomeration on electronic word–of–mouth in the restaurant industry: Exploring the moderation role of review quality difference," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
  87. Qian Jin & Hui Hu & Xiaozhi Su & Alastair M. Morrison, 2021. "The Influence of the Characteristics of Online Itinerary on Purchasing Behavior," Land, MDPI, vol. 10(9), pages 1-19, September.
  88. Kaushik, Kapil & Mishra, Rajhans & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 21-32.
  89. 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.
  90. Fang, Bin & Ye, Qiang & Law, Rob, 2016. "Effect of sharing economy on tourism industry employment," Annals of Tourism Research, Elsevier, vol. 57(C), pages 264-267.
  91. Lifang Peng & Qinyu Liao & Xiaorong Wang & Xuanfang He, 2016. "Factors affecting female user information adoption: an empirical investigation on fashion shopping guide websites," Electronic Commerce Research, Springer, vol. 16(2), pages 145-169, June.
  92. Agarwal, Sumit & Wang, Long & Yang, Yang, 2021. "Impact of transboundary air pollution on service quality and consumer satisfaction," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 357-380.
  93. 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.
  94. Liang, Sai & Schuckert, Markus & Law, Rob & Chen, Chih-Chien, 2017. "Be a “Superhost”: The importance of badge systems for peer-to-peer rental accommodations," Tourism Management, Elsevier, vol. 60(C), pages 454-465.
  95. Sánchez Jiménez, Miguel & Matos, Nelson & Correia, Marisol, 2019. "Evolution Of The Presence And Engagement Of Official Social Networks In Promoting Tourism In Spain," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 7(3), pages 210-225.
  96. Andreas J. Steur & Mischa Seiter, 2021. "Properties of feedback mechanisms on digital platforms: an exploratory study," Journal of Business Economics, Springer, vol. 91(4), pages 479-526, May.
  97. 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.
  98. 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).
  99. Brzozowska-Woś Magdalena & Schivinski Bruno, 2019. "The Effect of Online Reviews on Consumer-Based Brand Equity: Case-Study of the Polish Restaurant Sector," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 27(3), pages 2-27, September.
  100. Gang Ren & Taeho Hong, 2017. "Investigating Online Destination Images Using a Topic-Based Sentiment Analysis Approach," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
  101. Cristina Franciele & Thays Christina Domareski Ruiz, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," Post-Print hal-03373984, HAL.
  102. Tamaddoni, Ali & Seenivasan, Satheesh & Pallant, Jason I. & Skiera, Bernd, 2023. "Investigating the effect of status changes in review platforms," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 189-209.
  103. Clauzel, Amélie & Delacour, Hélène & Liarte, Sébastien, 2019. "When cuisine becomes less haute: The impact of expert ratings on consumers' legitimacy judgments," Journal of Business Research, Elsevier, vol. 105(C), pages 395-404.
  104. Chaoyong Qin & Xinyu Zeng & Shichang Liang & Ke Zhang, 2023. "Do Live Streaming and Online Consumer Reviews Jointly Affect Purchase Intention?," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
  105. 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).
  106. Amélie Clauzel & Hélène Delacour & Sébastien Liarte, 2019. "When cuisine becomes less haute : The impact of expert ratings on consumers' legitimacy judgments," Post-Print hal-02513471, HAL.
  107. Wen-Kuo Chen & Dalianus Riantama & Long-Sheng Chen, 2020. "Using a Text Mining Approach to Hear Voices of Customers from Social Media toward the Fast-Food Restaurant Industry," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
  108. 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.
  109. Pera, Rebecca & Viglia, Giampaolo & Grazzini, Laura & Dalli, Daniele, 2019. "When empathy prevents negative reviewing behavior," Annals of Tourism Research, Elsevier, vol. 75(C), pages 265-278.
  110. Kim, Jin-Young & Hlee, Sunyoung & Joun, Youhee, 2016. "Green practices of the hotel industry: Analysis through the windows of smart tourism system," International Journal of Information Management, Elsevier, vol. 36(6), pages 1340-1349.
  111. Zhang, Mingli & Zhang, Yan & Zhao, Lu & Li, Xiaoyong, 2020. "What drives online course sales? Signaling effects of user-generated information in the paid knowledge market," Journal of Business Research, Elsevier, vol. 118(C), pages 389-397.
  112. 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.
  113. Xiao, Lin & Li, Xiaofeng & Zhang, Yucheng, 2023. "Exploring the factors influencing consumer engagement behavior regarding short-form video advertising: A big data perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
  114. Wonho Song & Sangkon Park & Doojin Ryu, 2017. "Information Quality of Online Reviews in the Presence of Potentially Fake Reviews," Korean Economic Review, Korean Economic Association, vol. 33, pages 5-34.
  115. Engin TENGİLİMOGLU & Azize HASSAN, 2020. "Applying Flow Theory to the Online Booking Experience: The Role of Utilitarian and Hedonic Features," Journal of Tourismology, Istanbul University, Faculty of Economics, vol. 6(1), pages 1-12, June.
  116. 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).
  117. 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.
  118. 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.
  119. Bronner, Fred & de Hoog, Robert, 2016. "Travel websites: Changing visits, evaluations and posts," Annals of Tourism Research, Elsevier, vol. 57(C), pages 94-112.
  120. 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.
  121. Chen, Xiayu & Shen, Junya & Wei, Shaobo, 2023. "What reduces product uncertainty in live streaming e-commerce? From a signal consistency perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
  122. 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.
  123. 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.
  124. 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.
  125. Taegoo Terry Kim & Osman M. Karatepe & Gyehee Lee & Hande Demiral, 2018. "Do Gender and Prior Experience Moderate the Factors Influencing Attitude toward Using Social Media for Festival Attendance?," Sustainability, MDPI, vol. 10(10), pages 1-19, September.
  126. Qingfeng Zeng & Wei Zhuang & Qian Guo & Weiguo Fan, 2022. "What factors influence grassroots knowledge supplier performance in online knowledge platforms? Evidence from a paid Q&A service," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2507-2523, December.
  127. 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.
  128. Yang, Liu & Dong, Shaozeng, 2018. "Rebate strategy to stimulate online customer reviews," International Journal of Production Economics, Elsevier, vol. 204(C), pages 99-107.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.