Análise multidimensional das experiências dos hóspedes dos resorts Catarinenses por revisores online

Tércio Pereira; Letícia Schmitt Muller; Marcos Arnhold; Pablo Flôres Limberger

doi:10.5585/podium.v10i3.18686

Authors

Tércio Pereira Universidade do Vale do Itajaí http://orcid.org/0000-0002-0863-6383
Letícia Schmitt Muller Universidade do Vale do Itajaí https://orcid.org/0000-0002-0497-5441
Marcos Arnhold Universidade do Vale do Itajaí https://orcid.org/0000-0002-1721-9733
Pablo Flôres Limberger Universidade do Vale do Itajaí https://orcid.org/0000-0001-6814-6020

DOI:

https://doi.org/10.5585/podium.v10i3.18686

Keywords:

Resort, Experiences, Reviews, TripAdvisor, Hospitality satisfaction

Abstract

Objective: This article aims to examine the experiences and perceptions of guests at resorts in Santa Catarina associated with the Associação Brasileira de Resort (ABR).
Methodology/approach: This research is quantitative. We analyzed 540 TripAdvisor reviews. We use Linear Regression Analysis using IBM SPSS v.22 software to identify which dimensions directly influence the overall ranking.
Originality/Relevance: Nine dimensions were used to structure an analysis framework: room, hotel location, service, price, security, food, and beverage service (food and beverage), recreation, structure, and other aspects.
Main results: The analysis shows that customer satisfaction has an influence on eight of the nine dimensions, being FeB service, structure, and service the most found in the comments, and only the dimension of the other subjects was not strongly correlated
Theoretical/methodological contributions: This study contributes to advancing literature and insights to improve resort management. It helps to understand customers' decision-making processes and create quantitative scales to measure their business results. In addition, the study highlights that the clients of resorts in Santa Catarina attach importance to cost-benefit. The amount paid reflects the degree of demand for the attributes of the study. Suppose this relationship between price and quality of the service offered is perceived satisfactorily. In that case, the relationship between the consumer and the resort tends to become positive with comments and an indication of post-purchase accommodation.

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Author Biographies

Tércio Pereira, Universidade do Vale do Itajaí

Bacharel em Administração; MBA em Gestão de vendas e varejo; Especialização em Marketing; Mestrado em Turismo e Hotelaria e Doutorando em Turismo e Hotelaria (UNIVALI).

Letícia Schmitt Muller, Universidade do Vale do Itajaí

Mestre em Turismo e Hotelaria (UNIVALI)

Marcos Arnhold, Universidade do Vale do Itajaí

Professor e pesquisador do programa de mestrado e doutorado de Turismo e Hotelaria da Universidade do Vale do Itajaí

Pablo Flôres Limberger, Universidade do Vale do Itajaí

Professor e pesquisador do programa de mestrado e doutorado de Turismo e Hotelaria da Universidade do Vale do Itajaí

References

Ahani, A., Nilashi, M., Yadegaridehkordi, E., Sanzogni, L., Tarik, A. R., Knox, K., Samad, S., & Ibrahim, O. (2019). Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels. Journal of Retailing and Consumer Services, 51, 331–343. https://doi.org/10.1016/j.jretconser.2019.06.014

Ali, F., Amin, M., & Cobanoglu, C. (2015). An integrated model of service experience, emotions, satisfaction, and price acceptance: An empirical analysis in the chinese hospitality industry. Journal of Hospitality Marketing & Management, 25(4), 449–475. https://doi.org/10.1080/19368623.2015.1019172

Amatulli, C., De Angelis, M., & Stoppani, A. (2019). Analyzing online reviews in hospitality: Data-driven opportunities for predicting the sharing of negative emotional content. Current Issues in Tourism, 22(15), 1904–1917. https://doi.org/10.1080/13683500.2019.1594723

Banerjee, S., & Chua, A. Y. K. (2016). In search of patterns AMONG Travellers' hotel ratings IN TRIPADVISOR. Tourism Management, 53, 125–131. https://doi.org/10.1016/j.tourman.2015.09.020

Cantallops, A., & Salvi, F. (2014). New consumer behavior: A review of research on ewom and hotels. International Journal of Hospitality Management, 36, 41–51. https://doi.org/10.1016/j.ijhm.2013.08.007

Hu, H, Kandampully, J., & Juwaheer, T. D. (2009). Relationships and impacts of service quality, perceived value, customer satisfaction, and image: An empirical study. The Service Industries Journal, 29(2), 111–125. https://doi.org/10.1080/02642060802292932

Lee, C.-K., Lee, Y.-K., & Lee, B. K. (2005). Korea’s destination image formed by the 2002 World Cup. Annals of Tourism Research, 32(4), 839–858. https://doi.org/10.1016/j.annals.2004.11.006

Li, H., Ye, Q., & Law, R. (2013). Determinants of customer satisfaction in the Hotel Industry: An application of online review analysis. Asia Pacific Journal of Tourism Research, 18(7), 784–802. https://doi.org/10.1080/10941665.2012.708351

Li, H., Zhang, Z., Meng, F., & Janakiraman, R. (2017). Is peer evaluation of consumer online reviews socially embedded? – an examination combining reviewer’s social network and social identity. International Journal of Hospitality Management, 67, 143–153. https://doi.org/10.1016/j.ijhm.2017.08.003

Matos, C. A., & Rossi, C. A. (2008). Word-of-mouth communications in marketing: A meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36(4), 578–596. https://doi.org/10.1007/s11747-008-0121-1

Maxham, J. G., & Netemeyer, R. G. (2002). A longitudinal study of complaining customers' evaluations of multiple service failures and recovery efforts. Journal of Marketing, 66(4), 57–71. https://doi.org/10.1509/jmkg.66.4.57.18512

Öğüt, H., & Onur Taş, B. K. (2012). The influence of internet customer reviews on the online sales and prices in hotel industry. The Service Industries Journal, 32(2), 197–214. https://doi.org/10.1080/02642069.2010.529436

Oliver, R.L. (1997). Satisfaction: A Behavioral Perspective on the Consumer. McGraw-Hill, New York, NY.

Park, E., Kang, J., Choi, D., & Han, J. (2018). Understanding customers' hotel revisiting behaviour: A sentiment analysis of online feedback reviews. Current Issues in Tourism, 23(5), 605–611. https://doi.org/10.1080/13683500.2018.1549025

Ryu, K., Lee, H. R., & Gon Kim, W. (2012). The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. International Journal of Contemporary Hospitality Management, 24(2), 200–223. https://doi.org/10.1108/0959611121120614

Schuckert, M., Liu, X., & Law, R. (2015). A segmentation of online reviews by Language groups: How English and non-English Speakers rate hotels differently. International Journal of Hospitality Management, 48, 143–149. https://doi.org/10.1016/j.ijhm.2014.12.007

Stanton, S. J., Kim, J., Thor, J. C., & Deng, X. (2019). Incentivized methods to generate electronic word-of-mouth: Implications for the resort industry. International Journal of Hospitality Management, 78, 142–149. https://doi.org/10.1016/j.ijhm.2018.11.004

Xie, K. L., Zhang, Z., & Zhang, Z. (2014). The business value of online consumer reviews and management response to hotel performance. International Journal of Hospitality Management, 43, 1–12. https://doi.org/10.1016/j.ijhm.2014.07.007

Zhang, Z., Li, X., & Chen, Y. (2012). Deciphering word-of-mouth in social media. ACM Transactions on Management Information Systems, 3(1), 1–23. https://doi.org/10.1145/2151163.2151168

Zhang, Z., Ye, Q., & Law, R. (2011). Determinants of hotel room price. International Journal of Contemporary Hospitality Management, 23(7), 972–981. https://doi.org/10.1108/09596111111167551

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