Managing score heterogeneity between online consumer review websites

References

• Assaf, A. (2009). Are U.S. airlines really in crisis? Tourism Management, 30(6), 916–16. Retrieved from. https://doi.org/10.1016/j.tourman.2008.11.006
   Web of Science ®Google Scholar
• Assaf, A. (2011). Accounting for technological differences in modelling the performance of airports: A Bayesian approach. Applied Economics, 43(18), 2267–2275. Retrieved from. https://doi.org/10.1080/00036840903101779
   Web of Science ®Google Scholar
• Assaf, A. G. (2012). Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier. Tourism Management, 33(5), 1122–1127. Retrieved from. https://doi.org/10.1016/j.tourman.2011.11.021
   Web of Science ®Google Scholar
• Assaf, A. G., & Magnini, V. (2012). Accounting for customer satisfaction in measuring hotel efficiency: Evidence from the US hotel industry. International Journal of Hospitality Management, 31(3), 642–647. Retrieved from. https://doi.org/10.1016/j.ijhm.2011.08.008
   Web of Science ®Google Scholar
• Assaf, A. G., & Tsionas, E. G. (2015). Incorporating destination quality into the measurement of tourism performance: A Bayesian approach. Tourism Management, 49, 58–71. Retrieved from. https://doi.org/10.1016/j.tourman.2015.02.003
   Web of Science ®Google Scholar
• Assaf, A., & Tsionas, M. (2018). Bayes factors vs. p-values. Tourism Management, 67, 17–31. Retrieved from. https://doi.org/10.1016/j.tourman.2017.11.011
   Web of Science ®Google Scholar
• Assaf, A., & Tsionas, M. (2019). Quantitative research in tourism and hospitality: An agenda for best–practice recommendations. International Journal of Contemporary Hospitality Management, 31(7), 2776–2787. Retrieved from. https://doi.org/10.1108/IJCHM-02-2019-0148
   Web of Science ®Google Scholar
• Assaf, A. G., Tsionas, M., Kock, F., & Josiassen, A. (2021). A Bayesian non–parametric stochastic frontier model. Annals of Tourism Research, 87(103116), 103116. Retrieved from. https://doi.org/10.1016/j.annals.2020.103116
   Google Scholar
• Assaf, A. G., Tsionas, M., & Oh, H. (2018). The time has come: Toward Bayesian SEM estimation in tourism research. Tourism Management, 64, 98–109. Retrieved from. https://doi.org/10.1016/j.tourman.2017.07.018
   Web of Science ®Google Scholar
• Barry, D., & Hartigan, J. A. (1992). Product partition models for change point problems. The Annals of Statistics, 20(1), 260–279. Retrieved from. https://doi.org/10.1214/aos/1176348521
   Web of Science ®Google Scholar
• Bianchi, G., & Heo, C. (2021). A Bayesian statistics approach to hospitality research. Current Issues in Tourism, 24(22), 3141–3150. Retrieved from. https://doi.org/10.1080/13683500.2021.1896486
   Web of Science ®Google Scholar
• Bign´e, E., William, E., & Soria-Olivas, E. (2020). Similarity and consistency in hotel online ratings across platforms. Journal of Travel Research, 59(4), 742–758. Retrieved from. https://doi.org/10.1177/0047287519859705
   Web of Science ®Google Scholar
• Boto-Garc´ıa, D., Zapico, E., Escalonilla, M., & Baños Pino, J. F. (2021). Tourists’ preferences for hotel booking. International Journal of Hospitality Management, 92(102726), 102726. Retrieved from. https://doi.org/10.1016/j.ijhm.2020.102726
   Google Scholar
• Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the internet–the state of etourism research. Tourism Management, 29(4), 609–623. Retrieved from. https://doi.org/10.1016/j.tourman.2008.01.005
   Web of Science ®Google Scholar
• Chen, K., Wang, P., & Zhang, H. (2021). A novel hotel recommendation method based on personalized preferences and implicit relationships. International Journal of Hospitality Management, 92, 102710. Retrieved from. https://doi.org/10.1016/j.ijhm.2020.102710
   Web of Science ®Google Scholar
• Coenders, G., Ferrer-Rosell, B., & Mart´ınez-Garc´ıa, E. (2016). Trip characteristics and dimensions of internet use for transportation, accommodation, and activities undertaken at destination. Journal of Hospitality Marketing & Management, 25(4), 498–511. Retrieved from. https://doi.org/10.1080/19368623.2015.1034827
   Web of Science ®Google Scholar
• Fang, B., Ye, Q., Kucukusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498–506. Retrieved from. https://doi.org/10.1016/j.tourman.2015.07.018
   Web of Science ®Google Scholar
• Farcomeni, A. (2008). A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion. Statistical Methods in Medical Research, 17(4), 347–388. Retrieved from. https://doi.org/10.1177/0962280206079046
   PubMed Web of Science ®Google Scholar
• Fong, L. H. N., Lam, L. W., & Law, R. (2017). How locus of control shapes intention to reuse mobile apps for making hotel reservations: Evidence from Chinese consumers. Tourism Management, 61, 331–342. Retrieved from. https://doi.org/10.1016/j.tourman.2017.03.002
   Web of Science ®Google Scholar
• Hoffart, J. C., Olschewski, S., & Rieskamp, J. (2019). Reaching for the star ratings: A Bayesian–inspired account of how people use consumer ratings. Journal of Economic Psychology 72, 99–116. Retrieved from. https://doi.org/10.1016/j.joep.2019.02.008
   Web of Science ®Google Scholar
• Lei, S. S. I., Nicolau, J. L., & Wang, D. (2019). The impact of distribution channels on budget hotel performance. International Journal of Hospitality Management, 81, 141–149. Retrieved from. https://doi.org/10.1016/j.ijhm.2019.03.005
   Web of Science ®Google Scholar
• Mariani, M. M., & Borghi, M. (2018). Effects of the Booking.com rating system: Bringing hotel class into the picture. Tourism Management, 66, 47–52. Retrieved from. https://doi.org/10.1016/j.tourman.2017.11.006
   Web of Science ®Google Scholar
• Mellinas, J. P., Mar´ıa-Dolores, S.-M.-M., & Bernal Garc´ıa, J. J. (2015). Booking.com: The unexpected scoring system. Tourism Management 49, 72–74. Retrieved from. https://doi.org/10.1016/j.tourman.2014.08.019
   Web of Science ®Google Scholar
• Mellinas, J. P., Mar´ıa-Dolores, S.-M.-M., & Bernal Garc´ıa, J. J. (2016). Effects of the Booking.com scoring system. Tourism Management 57, 80–83. Retrieved from. https://doi.org/10.1016/j.tourman.2016.05.015
   Web of Science ®Google Scholar
• Mellinas, J. P., & Martin-Fuentes, E. (2021). Effects of Booking.com’s new scoring system. Tourism Management, 85(104280), 104280. Retrieved from. https://doi.org/10.1016/j.tourman.2020.104280
   Google Scholar
• Nilashi, M., Ahani, A., Esfahani, M. D., Yadegaridehkordi, E., Samad, S., Ibrahim, O., Sharef, N.M., & Akbari, E. (2019). Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach. Journal of Cleaner Production 215, 767–783. https://doi.org/10.1016/j.jclepro.2019.01.012
   Web of Science ®Google Scholar
• Peng, H.-G., Zhang, H.-Y., & Wang, J.-Q. (2018). Cloud decision support model for selecting hotels on TripAdvisor.com with probabilistic linguistic information. International Journal of Hospitality Management, 68(1), 124–138. Retrieved from. https://doi.org/10.1016/j.ijhm.2017.10.001
   Google Scholar
• Plummer, M., Stukalov, A., & Denwood, M. (2016). Package Rjags. Retrieved November , 2022 cran.stat.unipd.it/web.packages/rjags/rjags.pdf
   Google Scholar
• Rota, G. (1964). The number of partitions of a set. American Mathematical Monthly, 71(5), 498–504. Retrieved from. https://doi.org/10.1080/00029890.1964.11992270
   Web of Science ®Google Scholar
• S´anchez-Franco, M., Navarro-Garc´ıa, A., & Rond´an-Cataluña, F. (2019). A naive Bayes strategy for classifying customer satisfaction: A study based on online reviews of hospitality services. Journal of Business Reseach 101, 499–506. Retrieved from. https://doi.org/10.1016/j.jbusres.2018.12.051
   Web of Science ®Google Scholar
• Scott, J. G., & Berger, J. (2006). An exploration of aspects of Bayesian multiple testing. Journal of Statistical Planning and Inference, 136(7), 2144–2162. Retrieved from. https://doi.org/10.1016/j.jspi.2005.08.031
   Web of Science ®Google Scholar
• Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65. Retrieved from. https://doi.org/10.1016/j.tourman.2016.10.001
   Web of Science ®Google Scholar
• Zhao, Y., Xu, X., & Wang, M. (2019). Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews. International Journal of Hospitality Management, 76(Part A), 111–121. Retrieved from. https://doi.org/10.1016/j.ijhm.2018.03.017
   Google Scholar