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Marketing

A Bayesian model for online customer reviews data in tourism research: a robust analysis

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Article: 2363592 | Received 15 Jan 2024, Accepted 30 May 2024, Published online: 21 Jun 2024

References

  • Assaf, A. (2009). Are U.S. airlines really in crisis? Tourism Management, 30(6), 916–921. https://doi.org/10.1016/j.tourman.2008.11.006
  • Assaf, A. (2011). Accounting for technological differences in modelling the performance of airports: Bayesian approach. Applied Economics, 43(18), 2267–2275. https://doi.org/10.1016/j.tourman.2008.11.006
  • Assaf, A. G. (2012). Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier. Tourism Management, 33(5), 1122–1127. https://doi.org/10.1016/j.tourman.2011.11.021
  • Assaf, A. G., & Tsionas, E. G. (2015). Incorporating destination quality into the measurement of tourism performance: A Bayesian approach. Tourism Management, 49, 58–71. https://doi.org/10.1016/j.tourman.2015.02.003
  • Assaf, A. G., & Tsionas, M. (2018). Measuring hotel performance: Toward more rigorous evidence in both scope and methods. Tourism Management, 69, 69–87. https://doi.org/10.1016/j.tourman.2018.05.008
  • Assaf, A. G., & Tsionas, M. G. (2019a). Quantitative research in tourism and hospitality: an agenda for best practice recommendations. International Journal of Contemporary Hospitality Management, 31(7), 2776–2787. https://doi.org/10.1108/IJCHM-02-2019-0148
  • Assaf, A. G., & Tsionas, M. G. (2019b). Bayesian dynamic panel models for tourism research. Tourism Management, 75, 582–594. https://doi.org/10.1016/j.tourman.2019.06.012
  • Assaf, A. G., & Tsionas, M. (2021). Bayesian hypothesis testing for hospitality and tourism research. Journal of Hospitality & Tourism Research, 45(6), 1114–1130. https://doi.org/10.1177/1096348020947327
  • Assaf, A. G., Tsionas, M., & Oh, H. (2018). The time has come: Toward Bayesian SEM estimation in tourism research. Tourism Management, 64, 98–109. https://doi.org/10.1016/j.tourman.2017.07.018
  • Berger, J. O. (1985). Statistical decision theory and bayesian analysis (2nd ed.). Springer.
  • Bianchi, G., & Heo, C. Y. (2021). A Bayesian statistics approach to hospitality research. Current Issues in Tourism, 24(22), 3141–3150. https://doi.org/10.1080/13683500.2021.1896486
  • Boto-García, D., Zapico, E., Escalonilla, M., & Baños Pino, J. F. (2021). Tourists’ preferences for hotel booking. International Journal of Hospitality Management, 92, 102726. https://doi.org/10.1016/j.ijhm.2020.102726
  • Chang, V., Liu, L., Xu, Q., Li, T., & Hsu, C.-H. (2020). An improved model for sentiment analysis on luxury hotel review. Expert Systems, 40(2), e12580. https://doi.org/10.1111/exsy.12580
  • Chen, K., Wang, P., & Zhang, H. (2021). A novel hotel recommendation method based on person- alized preferences and implicit relationships. International Journal of Hospitality Management, 92, 102710. https://doi.org/10.1016/j.ijhm.2020.102710
  • Comerio, N., & Pacicco, F. (2021). Thank you for your staying! An analysis of the economic impact of tourism in Japanese prefectures. Current Issues in Tourism, 24(12), 1721–1734. https://doi.org/10.1080/13683500.2020.1801604
  • Diaconis, P., & Ylvisaker, D. (1979). Conjugate priors for exponential families. The Annals of Statistics, 7(2), 269–281. https://doi.org/10.1214/aos/1176344611
  • D’Elia, A., & Piccolo, D. (2005). A mixture model for preferences data analysis. Computational Statistics & Data Analysis, 49(3), 917–934. https://doi.org/10.1016/j.csda.2004.06.012
  • Ericson, W. (1969). A note on the posterior mean of a population mean. Journal of the Royal Statistical Society Series B: Statistical Methodology, 31(2), 332–334. https://doi.org/10.1111/j.2517-6161.1969.tb00794.x
  • 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. https://doi.org/10.1016/j.tourman.2015.07.018
  • 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. https://doi.org/10.1016/j.tourman.2017.03.002
  • Gómez-Déniz, E., Hernández-Bastida, A., & Vázquez-Polo, F. J. (2000). Robust Bayesian premium principles in actuarial science. Journal of the Royal Statistical Society (the Statistician, Series D), 49(2), 241–252.
  • 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. https://doi.org/10.1016/j.joep.2019.02.008
  • Lee, P. M. (1997). Bayesian statistics. An introduction (2nd ed.). Arnold.
  • 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. https://doi.org/10.1016/j.ijhm.2019.03.005
  • Li, S., & Chen, J. (2023). Mixture of shifted binomial distributions for rating data. Annals of the Institute of Statistical Mathematics, 75(5), 833–853. https://doi.org/10.1007/s10463-023-00865-7
  • Martel-Escobar, M., González-Martel, C., & Vázquez-Polo, F. J. (2023). Managing score heterogene- ity between online consumer review websites. Cogent Social Sciences, 9(2), 2267261. https://doi.org/10.1080/23311886.2023.2267261
  • Mellinas, J. P., María-Dolores, S.-M. M., & Bernal García, J. J. (2015). Booking.com: The unex- pected scoring system. Tourism Management, 49, 72–74. https://doi.org/10.1016/j.tourman.2014.08.019
  • Mellinas, J. P., María-Dolores, S.-M. M., & Bernal García, J. J. (2016). Effects of the Booking.com scoring system. Tourism Management, 57, 80–83. https://doi.org/10.1016/j.tourman.2016.05.015
  • Mellinas, J. P., & Martin-Fuentes, E. (2021). Effects of Booking.com’s new scoring system. Tourism Management, 85, 104280. https://doi.org/10.1016/j.tourman.2020.104280
  • 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
  • O’Hagan, A., Buck, C. E., Daneshkhah, A., Eiser, J. :R., Garthwaite, P. H., Jenkinson, D. J., Oakley, J. E., & Rakow, T. (2006). Uncertain judgements: Eliciting experts’ probabilities. Wiley.
  • 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 Hospi- Tality Management, 68, 124–138.
  • Pérez, C. J., Martín, J., & Rufo, M. J. (2006). Sensitivity estimations for Bayesian inference models solved by MCMC methods. Reliability Engineering & System Safety, 91(10-11), 1310–1314. https://doi.org/10.1016/j.ress.2005.11.029
  • Ríos, D., & Ruggeri, F. (2000). Robust bayesian analysis (Lecture Notes in Statistics). Springer- Verlag.
  • Simone, R. (2021). An accelerated EM algorithm for mixture models with uncertainty for rating data. Computational Statistics, 36(1), 691–714. https://doi.org/10.1007/s00180-020-01004-z
  • Sivaganesan, S. (1991). Sensitivity of some posterior summaries when the prior is unimodal with specified quantiles. Canadian Journal of Statististics, 19, 57–65.
  • Stefan, A. M., Katsimpokis, D., Gronau, Q. F., & Wagenmakers, E. J. (2022). Expert agreement in prior elicitation and its effects on Bayesian inference. Psychonomic Bulletin & Review, 29(5), 1776–1794. https://doi.org/10.3758/s13423-022-02074-4
  • Vázquez, F. J., Moreno, E., Negrín, M. A., & Martel, M. (2016). Bayesian robustness in meta-analysis for studies with zero responses. Pharmaceutical Statistics, 15(3), 230–237. https://doi.org/10.1002/pst.1741
  • Watson, J. M., & Moritz, J. B. (2000). The longitudinal development of understanding of average. Mathematical Thinking and Learning, 2(1-2), 11–50. https://doi.org/10.1207/S15327833MTL0202_2
  • Winkler, R. L. (1968). The assessment of prior distributions in Bayesian analysis. Journal of the American Statistical Association, 62(319), 776–800. https://doi.org/10.2307/2283671
  • Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review plat- forms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65. https://doi.org/10.1016/j.tourman.2016.10.001
  • Zellner, A., & Siow, A. (1980). Posterior odds ratios for selected regression hypotheses. TEST, 31, 585–603.
  • 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, 111–121. https://doi.org/10.1016/j.ijhm.2018.03.017