The Impact of Customer Reviews, Hotel Location, and Hotel Price Towards Potential Guests’ Intent to Stay at the Ritz- Carlton, Bali
DOI:
https://doi.org/10.59890/ijebma.v1i2.228Keywords:
Impact, Customer Reviews, Hotel Location, Hotel Price, Potential GuestsAbstract
This study examines the influence of customer reviews, hotel location, and hotel price on the intent of potential guests to stay at The Ritz-Carlton, Bali. Through a mixed-methods approach involving surveys, online reviews, and interviews, the research reveals that positive customer reviews significantly contribute to the likelihood of intent to stay, emphasizing the role of online word-of-mouth. Additionally, favorable hotel location emerges as a key driver for guest intent, while the relationship between hotel price and intent proves more complex, indicating a willingness to pay premium prices for positive reviews and desirable locations. These findings provide insights for strategic decision-making in hospitality marketing and management
References
Apuke, O. D. (2017). Quantitative Research Methods : A Synopsis Approach. Kuwait Chapter of Arabian Journal of Business & Management Review, 6(11), 40–47. https://doi.org/10.12816/0040336
Daryanto, A. (2018). Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro. The Quantitative Methods for Psychology, 16(5), v8–v20. https://doi.org/10.20982/tqmp.16.5.v008
Fetra, R., Pradiani, T., & Faturrahman, N. (2018). The Influence of Price, Facilities, and Service Quality on Re-Staying Interest. ADI Journal on Recent Innovation (AJRI), 4(2), 184–193. https://doi.org/10.34306/ajri.v4i2.867 Ghozali, I. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS 25.
Badan Penerbit Universitas Diponegoro: Semarang.
Hadiasali, A. E., Wijaya, S., Widjaja, D. C., & Jaolis, F. (2017). THE INFLUENCE OF SHARIA HOTEL INDICATORS TOWARDS ITS COMPETITIVE ADVANTAGE AND GUEST INTENTION TO STAY: AN APPRAISAL.
Malaysian Journal of Syariah and Law, 10(2), 1–15. https://doi.org/10.33102/mjsl.vol10no2.401
Hayes, A. F., & Montoya, A. K. (2017). A Tutorial on Testing, Visualizing, and Probing an Interaction Involving a Multicategorical Variable in Linear Regression Analysis. Communication Methods and Measures, 11(1), 1–
https://doi.org/10.1080/19312458.2016.1271116
Kaya, K., Yilmaz, Y., Yaslan, Y., Oguducu, S. G., & Çıngı, F. (2017). Demand forecasting model using hotel clustering findings for hospitality industry. Information Processing and Management, 59(1), 102816. https://doi.org/10.1016/j.ipm.2018.102816
Perez-Melo, S., & Kibria, B. M. G. (2018). On Some Test Statistics for Testing the Regression Coefficients in Presence of Multicollinearity: A Simulation Study. Stats, 3(1), 40–55. https://doi.org/10.3390/stats3010005
Sann, R., Lai, P., Liaw, S., & Chen, C. (2018). Predicting Online Complaining Behavior in the Hospitality Industry: Application of Big Data Analytics to Online Reviews. Sustainability, 14(3), 1800.https://doi.org/10.3390/su14031800
Zeithaml, V. A. & Bitner, M. J. (2003). Service Marketing: Integated Costumer Focus across The Firm Retrieved from https://www.researchgate.net/publication/244441681_Services_Marke ting_Integrating _Customer_Focus_Across_the_Firm_3
Hendriyani, I. G. A. D. (2019). Retrieved from https://www.kemenparekraf.go.id/berita/siaran-pers-menparekraf- pencapaian-targetparekraf-2018-perlu-ditopang-dengan-deregulasi
Kotler, Philip & Hayes, T. & Bloom, P.N.. (2002). Marketing Professional Services. Retrieved from
https://www.researchgate.net/publication/268745626_Marketing_Pro fessional_Services
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Copyright (c) 2023 Annarica Tisna, Finny Chianata, Joselyn Chandrigo, Michelle Christy, Valerie
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