Identifying hotel competitiveness based on hotel feature ratings

References

• Ahn, D., Park, H., & Yoo, B. (2017). Which group do you want to travel with? A study of rating differences among groups in online travel reviews. Electronic Commerce Research & Applications, 25, 105–114. doi:10.1016/j.elerap.2017.09.001
   Web of Science ®Google Scholar
• Akbaba, A. (2006). Measuring service quality in the hotel industry: A study in a business hotel in turkey. International Journal of Hospitality Management, 25(2), 170–192. doi:10.1016/j.ijhm.2005.08.006
   Google Scholar
• Barros, C. P. (2005). Measuring efficiency in the hotel sector. Annals of Tourism Research, 32(2), 456–477. doi:10.1016/j.annals.2004.07.011
   Web of Science ®Google Scholar
• Barros, C. P., & Alves, F. P. (2004). Productivity in tourism industry. International Advances in Economic Research, 10(3), 215–225. doi:10.1007/BF02296216
   Google Scholar
• Benítez, J. M., Martín, J. C., & Román, C. (2007). Using fuzzy number for measuring quality of service in the hotel industry. Tourism Management, 28(2), 544–555. doi:10.1016/j.tourman.2006.04.018
   Web of Science ®Google Scholar
• Boltho, A. (1996). The assessment: International competitiveness. Oxford Review of Economic Policy, 1(3), 1–16. doi:10.1093/oxrep/12.3.1
   Google Scholar
• Brown, J. R., & Ragsdale, C. T. (2002). The competitive market efficiency of hotel brands: An application of data envelopment analysis. Journal of Hospitality & Tourism Research, 26(4), 332–360. doi:10.1177/109634802237483
   Google Scholar
• Campos-Soria, J. A., González García, L., & Ropero García, M. A. (2005). Service quality and competitiveness in the hospitality sector. Tourism Economics, 11(1), 85–102. doi:10.5367/0000000053297194
   Google Scholar
• Casaló, L. V., Flavián, C., Guinalíu, M., & Ekinci, Y. (2015). Do online hotel rating schemes influence booking behaviors? International Journal of Hospitality Management, 49, 28–36. doi:10.1016/j.ijhm.2015.05.005
   Web of Science ®Google Scholar
• Clark, J., & Guy, K. (1998). Innovation and competitiveness: A review. Technology Analysis & Strategic Management, 10(3), 363–395. doi:10.1080/09537329808524322
   Web of Science ®Google Scholar
• D’Cruz, J. R., & Rugman, A. M. (1992). New compacts for Canadian competitiveness. Toronto: Kodak Canada Inc.
   Google Scholar
• DBC. (2018). China/Hong Kong industry focus: Hong Kong hotel sector. DBC Bank Ltd. Retrieved from 28 May 2018 https://www.dbs.com/aics/pdfController.page?pdfpath=/content/article/pdf/AIO/012018/180115_insights_a_good_year_ahead_for_hong_kong_hotels.pdf
   Google Scholar
• GCA. (2016). Hong Kong Hotel Industry Overview. GCA Professional Service Group. Retrieved from 28 May 2018 http://gca-group.com/var/files/newsletter/hotel_highlight.pdf
   Google Scholar
• Gooroochurn, N., & Sugiyarto, G. (2005). Competitiveness indicators in the travel and tourism industry. Tourism Economics, 11(1), 25–43. doi:10.5367/0000000053297130
   Google Scholar
• Härdle, W. (1991). Smoothing techniques: With implementation in S. New York: Springer-Verlag.
   Google Scholar
• Härdle, W., Müller, M., Sperlich, S., & Werwatz, A. (2004). Nonparametric and semiparametric models. Berlin, Heidelberg: Springer.
   Google Scholar
• Hargreaves, C. A. (2015). A comparative analysis of hotel ratings and reviews: An application in Singapore. American Journal of Marketing Research, 1(3), 118–129.
   Google Scholar
• Hsieh, L. F., & Lin, L. H. (2010). A performance evaluation model for international tourist hotels in Taiwan—An application of the relational network DEA. International Journal of Hospitality Management, 29(1), 14–24. doi:10.1016/j.ijhm.2009.04.004
   Web of Science ®Google Scholar
• Jiang, J. X., Gretzel, U., & Law, R. (2014). Influence of star rating and ownership structure on brand image of mainland China hotels. Journal of China Tourism Research, 10(1), 69–94. doi:10.1080/19388160.2013.870506
   Google Scholar
• Kim, H. B., & Kim, W. G. (2005). The relationship between brand equity and firms’ performance in luxury hotels and chain restaurants. Tourism Management, 26(4), 549–560. doi:10.1016/j.tourman.2004.03.010
   Web of Science ®Google Scholar
• Kiseleva, J., Mueller, M. J. I., Bernardi, L., Davis, C., Kovacek, I., Einarsen, M., ... Hiemstra, D.. (2015). Where to go on your next trip?: Optimizing travel destinations based on user preferences. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’15) (pp. 1097–1100), Santiago, Chile.
   Google Scholar
• Law, R., Rong, J., Vu, H. Q., Li, G., & Lee, A. (2011). Identifying changes and trends in Hong Kong outbound tourism. Tourism Management., 32(5), 1106–1114. doi:10.1016/j.tourman.2010.09.011
   Web of Science ®Google Scholar
• Leung, D., Law, R., van Hoof, H., & Buhalis, D. (2013). Social media in tourism and hospitality: A literature review. Journal of Travel & Tourism Marketing, 30(1–2), 3–22. doi:10.1080/10548408.2013.750919
   Web of Science ®Google Scholar
• Li, G., Law, R., Vu, H. Q., & Rong, J. (2013). Discovering the hotel selection preferences of Hong Kong inbound travelers using the choquet integral. Tourism Management, 36, 321–330. doi:10.1016/j.tourman.2012.10.017
   Web of Science ®Google Scholar
• Li, G., Law, R., Vu, H. Q., Rong, J., & Zhao, X. (2015). Identifying emerging hotel preferences using emerging pattern mining technique. Tourism Management, 46, 311–321. doi:10.1016/j.tourman.2014.06.015
   Web of Science ®Google Scholar
• Liu, S. W., Law, R., Rong, J., Li, G., & Hall, J. (2013). Analyzing changes in hotel customers’ expectations by trip mode. International Journal of Hospitality Management, 34(1), 359–371. doi:10.1016/j.ijhm.2012.11.011
   Google Scholar
• Mandabach, K. H., Stringam, B. B., Ma, X. Y., Leeuwen, D. M. V., & Gerdes, J. J. (2014). The impact of online traveler ratings with the willingness of the traveler to recommend hotels for five selected cities in China. Journal of Tourism & Hospitality, 3, 1–7. doi:10.4172/2167-0269.1000134
   Google Scholar
• Mateu-Figueras, G., Puig, P., & Pewsey, A. (2007). Goodness-of-fit tests for the skew-normal distribution when the parameters are estimated from the data. Communications in Statistics, Theory and Methods, 36(9), 1735–1755. doi:10.1080/03610920601126217
   Web of Science ®Google Scholar
• Mattila, A. S., & Oneill, J. W. (2003). Relationships between hotel room pricing, occupancy, and guest satisfaction: A longitudinal case of a midscale hotel in the United States. Journal of Hospitality & Tourism Research, 27(3), 328–341. doi:10.1177/1096348003252361
   Google Scholar
• OECD. (1992). Technology and the economy: The key relationships. Paris: Author.
   Google Scholar
• Otto, J., Doug, S., & Chuang, M. (2009). Using hotel web ratings data: Understanding customers’ overall satisfaction ratings. Tourism Review International, 13(1), 51–63. doi:10.3727/154427209789130620
   Google Scholar
• Porter, M. (1990). The competitive advantage of nations. Competitive Intelligence Review, 1(1), 14. doi:10.1002/(ISSN)1520-6386
   Google Scholar
• Prasad, K., & Dev, C. S. (2000). Managing hotel brand equity: A customer-centric framework for assessing performance. Cornell Hotel & Restaurant Administration Quarterly, 41(3), 22–31. doi:10.1016/S0010-8804(00)80014-2
   Google Scholar
• Reynolds, D. (2004). An exploratory investigation of multiunit restaurant productivity assessment using data envelopment analysis. Journal of Travel & Tourism Marketing, 16(2–3), 19–26. doi:10.1300/J073v16n02_02
   Google Scholar
• Reynolds, D., & Thompson, G. M. (2007). Multiunit restaurant productivity assessment using three-phase data envelopment analysis. International Journal of Hospitality Management, 26(1), 20–32. doi:10.1016/j.ijhm.2005.08.004
   Google Scholar
• Rhee, H. T., & Yang, S. B. (2015). How does hotel attribute importance vary among different travelers? An exploratory case study based on a conjoint analysis. Electronic Markets, 25(3), 211–226. doi:10.1007/s12525-014-0161-y
   Web of Science ®Google Scholar
• Rianthong, N., Dumrongsiri, A., & Kohda, Y. (2016). Improving the multidimensional sequencing of hotel rooms on an online travel agency web site. Electronic Commerce Research & Applications, 17, 74–86. doi:10.1016/j.elerap.2016.03.002
   Web of Science ®Google Scholar
• Roy, S. (2011). Competitiveness in service sector: A case of hotel industry in India. Global Business Review, 12(1), 51–69. doi:10.1177/097215091001200104
   Google Scholar
• Scott, D. W. (2008). Multivariate density estimation: Theory, practice, and visualization. Hoboken, New Jersey: John Wiley & Sons.
   Google Scholar
• Shapoval, V., Wang, M. C., Hara, T., & Shioya, H. (2018). Data mining in tourism data analysis: Inbound visitors to Japan. Journal of Travel Research, 57(3), 310–323. doi:10.1177/0047287517696960
   Web of Science ®Google Scholar
• Sigala, M. (2004). Using data envelopment analysis for measuring and benchmarking productivity in the hotel sector. Journal of Travel & Tourism Marketing, 16(2–3), 39–60. doi:10.1300/J073v16n02_04
   Google Scholar
• Tian, W., Zhang, G., Zhang, X., & Dong, Y. (2017). PCA weight and johnson transformation based alarm threshold optimization in chemical processes. Chinese Journal of Chemical Engineering, in press. doi: 10.1016/j.cjche.2017.10.027
   Web of Science ®Google Scholar
• Tung, G. S., Cheng, T. M., & Wu, L. C. (2009). The measurement of competitiveness of international tourist hotels in Taiwan. Journal of International Management Studies, 4(2), 41–49.
   Google Scholar
• Vermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel reviews on consumer consideration. Tourism Management, 30(1), 123–127. doi:10.1016/j.tourman.2008.04.008
   Web of Science ®Google Scholar
• Vinh, N. X., Chan, J., Romano, S., Bailey, J., Leckie, C., Ramamohanarao, K., & Pei, J. (2016). Discovering outlying aspects in large datasets. Data Mining & Knowledge Discovery, 30(6), 1520–1555. doi:10.1007/s10618-016-0453-2
   Web of Science ®Google Scholar
• Vu, H. Q., Li, G., Law, R., & Zhang, Y. (2017). Tourist activity analysis by leveraging mobile social media data. Journal of Travel Research, in press. doi: 10.1177/0047287517722232
   Web of Science ®Google Scholar
• Wang, F. C., Hung, W. T., & Shang, J. K. (2006). Measuring the cost efficiency of international tourist hotels in Taiwan. Tourism Economics, 12(1), 65–85. doi:10.5367/000000006776387150
   Google Scholar
• Xie, H., Miao, L., Kuo, P. J., & Lee, B. Y. (2011). Consumers’ responses to ambivalent online hotel reviews: The role of perceived source credibility and pre-decisional disposition. International Journal of Hospitality Management, 30(1), 178–183. doi:10.1016/j.ijhm.2010.04.008
   Web of Science ®Google Scholar
• Xue, W., Li, T., & Rishe, N. (2015). Aspect and ratings inference with aspect ratings: Supervised generative models for mining hotel reviews. International Conference on Web Information Systems Engineering (pp.17–31), Miami, FL, USA.
   Google Scholar
• Yang, C., & Lu, W. M. (2006). Performance benchmarking for Taiwan’s international tourist hotels. Information Systems & Operational Research, 44(3), 229–245. doi:10.1080/03155986.2006.11732750
   Web of Science ®Google Scholar
• Zheng, X., & Gretzel, U. (2010). Role of social media in online travel information research. Tourism Management, 31(2), 179–188. doi:10.1016/j.tourman.2009.02.016
   Web of Science ®Google Scholar
• Zimek, A., Schubert, E., & Kriegel, H. P. (2012). A survey on unsupervised outlier detection in high-dimensional numerical data. Statistical Analysis and Data Mining, 5(5), 363–387. doi:10.1002/sam.11161
   Google Scholar