The impact of quality on reputation, supply, price, and booking intentions: A moderation analysis

Emeka Ndaguba, Cina van Zyl

Article ID: 4683
Vol 8, Issue 10, 2024

VIEWS - 51 (Abstract) 25 (PDF)

Abstract


This study investigates the role of property quality in shaping booking intentions within the dynamic landscape of the hospitality sector. A comprehensive approach, integrating qualitative and quantitative methodologies, is employed, utilising Airdna’s dataset spanning from July 2016 to June 2020. Multiple regression models, including interaction terms, are applied to scrutinise the moderating role of property quality. The study unveils unexpected findings, particularly a counterintuitive negative correlation between property quality and booking intentions in Model 7, challenging conventional assumptions. Theoretical implications call for a deeper exploration of contextual nuances and psychological intricacies influencing guest preferences, urging a re-evaluation of established models within hospitality management. On a practical note, the study emphasises the significance of continuous quality improvement and dynamic strategies aligned with evolving consumer expectations. The unexpected correlation prompts a shift towards more context-specific approaches in understanding and managing guest behavior, offering valuable insights for both academia and the ever-evolving landscape of the hospitality industry.


Keywords


booking intention; property quality; guest decision-making; context-specific dynamics; sharing economy

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References


Agarwal, V., Koch, J. V., & McNab, R. M. (2019). Differing Views of Lodging Reality: Airdna, STR, and Airbnb. Cornell Hospitality Quarterly, 60(3), 193–199. https://doi.org/10.1177/1938965518777218

Ahmad, K., & Sharma, B. K. (2023). Online Satisfaction and Hotel Booking Intentions: An Information System Success Model Perspective. Journal of Quality Assurance in Hospitality & Tourism, 1–33. https://doi.org/10.1080/1528008x.2023.2283502

Baka, V. (2016). The becoming of user-generated reviews: Looking at the past to understand the future of managing reputation in the travel sector. Tourism Management, 53, 148–162. https://doi.org/10.1016/j.tourman.2015.09.004

Bland, J. M., & Altman, D. G. (1999). Measuring agreement in method comparison studies. Statistical Methods in Medical Research, 8(2), 135–160. https://doi.org/10.1177/096228029900800204

CBRE Hotel Americas Research. (2017). Hosts with multiple units—A key driver of Airbnb growth. Available online: https://www.ahla.com/hosts-multiple-units-key-driver-airbnbgrowth (accessed on 9 January 2024).

Clarke, A., & Chen, W. (2009). International hospitality management. Routledge.

Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470. https://doi.org/10.1016/j.dss.2012.06.008

Chuenyindee, T., Ong, A. K. S., Ramos, J. P., et al. (2022). Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic. Utilities Policy, 75, 101336. https://doi.org/10.1016/j.jup.2022.101336

Crouch, G. I., & Ritchie, J. R. (1999). Tourism, competitiveness, and societal prosperity. Journal of Business Research, 44(3), 137–152.

Dogru, T., & Pekin, O. (2017). What do guests value most in Airbnb accommodations? An application of the hedonic pricing approach. Boston Hospitality Review, 5(2), 1–3.

Evans, N. G. (2019). Strategic management for tourism, hospitality and events. Routledge.

Enz, C. A. (2010). The SAGE handbook of hospitality management. Sage.

Evans, N. G. (2019). Strategic management for tourism, hospitality and events. Routledge.

Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.

Foxall, G. R. (2001). Foundations of Consumer Behaviour Analysis. Marketing Theory, 1(2), 165–199. https://doi.org/10.1177/147059310100100202

Gartner, W. C. (2008). Tourism development: Principles, processes, and policies. Van Nostrand Reinhold.

George, G., Dahlander, L., Graffin, S. D., et al. (2016). Reputation and Status: Expanding the Role of Social Evaluations in Management Research. Academy of Management Journal, 59(1), 1–13. https://doi.org/10.5465/amj.2016.4001

Greene, W. H. (2018). Econometric analysis. Pearson.

Grisdale, S. (2021). Displacement by disruption: Short-term rentals and the political economy of “belonging anywhere” in Toronto. Urban Geography, 42(5), 654–680. https://doi.org/10.1080/02723638.2019.1642714

Gunter, U. (2018). What makes an Airbnb host a superhost? Empirical evidence from San Francisco and the Bay Area. Tourism Management, 66, 26–37. https://doi.org/10.1016/j.tourman.2017.11.003

Guo, L., Liu, K., Song, Y., & Yang, Z. (2022). Recovering hotel room sales during the COVID-19 pandemic: Lessons from OTA information using the quantile regression approach. Current Issues in Tourism, 25(1), 94–114. https://doi.org/10.1080/13683500.2021.1900079

Hair, J. F., Black, W. C., Babin, B. J., et al. (2019). Multivariate data analysis. Pearson.

Halkiopoulos, C., Antonopoulou, H., Gkintoni, E., et al. (2022). Neuromarketing as an indicator of cognitive consumer behavior in decision-making process of tourism destination—An overview. In: Transcending Borders in Tourism Through Innovation and Cultural Heritage. Cham: Springer International Publishing. pp. 679–697.

Holland, J. H. (1995). Hidden order: How adaptation builds complexity. Basic Books.

Huang, D., Coghlan, A., & Jin, X. (2020). Understanding the drivers of Airbnb discontinuance. Annals of Tourism Research, 80, 102798. https://doi.org/10.1016/j.annals.2019.102798

HVS Consulting & Valuation Division of TS Worldwide. (2015). Impact analysis report: Airbnb and impacts on the New York City lodging market and economy. Available online: http://www.hanyc.org/wp-content/uploads/2015/10/HVSImpact-Study-FINAL-Airbnb-and-the-NYC-Lodging-Market-10-27-15-copy.pdf (accessed on 9 January 2024).

Jiang, Y., Zhang, H., Cao, X., Wei, G., & Yang, Y. (2023). How to better incorporate geographic variation in Airbnb price modeling? Tourism Economics, 29(5), 1181–1203. https://doi.org/10.1177/13548166221097585

Jones, N., Lee‐Ross, D., & Ingram, H. (1997). A study of service quality in small hotels and guesthouses. Progress in Tourism and Hospitality Research, 3(4), 351–363.

Jung, J., Yoon, S., Kim, S., et al. (2016). Social or Financial Goals? In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. https://doi.org/10.1145/2851581.2892328

Kaiser, C., & Freybote, J. (2023). Tenant stock market performance and retail Real Estate prices. Journal of Property Research, 41(1), 23–43. https://doi.org/10.1080/09599916.2023.2254788

Kapferer, J. N., & Bastien, V. (2009). The specificity of luxury management: Turning marketing upside down. Journal of Brand Management, 16(5-6), 311–322. https://doi.org/10.1057/bm.2008.51

Kelley, S., & Asad, D. (2015). Lodging. Airbnb: Deep dive with data from AirDNA. Industry overview. In: Bank of America Merrill Lynch.

Kimmel, A., & Kimmel, A. J. (2018). Psychological foundations of marketing: the keys to consumer behavior. Routledge.

Kock, F., Josiassen, A., & Assaf, A. G. (2016). Advancing destination image: The destination content model. Annals of tourism research, 61, 28–44. https://doi.org/10.1016/j.annals.2016.07.003

Koh, E., & King, B. (2017). Accommodating the sharing revolution: a qualitative evaluation of the impact of Airbnb on Singapore’s budget hotels. Tourism Recreation Research, 42(4), 409–421. https://doi.org/10.1080/02508281.2017.1314413

Lee, D. R., Kim, M., & Kim, S. (2019). Quality management and performance of budget hotels: Evidence from South Korea. International Journal of Hospitality Management, 77, 275–284.

Lutz, C., & Newlands, G. (2018). Consumer segmentation within the sharing economy: The case of Airbnb. Journal of Business Research, 88, 187–196. https://doi.org/10.1016/j.jbusres.2018.03.019

Montgomery, D. C., Peck, E. A., & Vining, G. G. (2012). Introduction to linear regression analysis. Wiley.

Nagle, T. T., & Müller, G. (2017). The Strategy and Tactics of Pricing: A Guide to Profitable Decision Making, 6th ed. Routledge.

Ndaguba, E. A., & van Zyl, C. (2023). Exploring bibliometric evidence of Airbnb’s influence on urban destinations: emotional solidarity, Airbnb supply, moral economy and digital future. International Journal of Tourism Cities. 9(4), 894–922. https://doi.org/10.1108/ijtc-03-2023-0056

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41–50. https://doi.org/10.1177/002224298504900403

Paz, M. D. R., & Rodríguez-Vargas, J. C. (2023). Main theoretical consumer behavioural models. A review from 1935 to 2021. Heliyon.

Pike, S., Ryan, C., & Carson, D. (2010). Destination positioning and the role of the stakeholders: The case of New Zealand’s South Island. Journal of Vacation Marketing, 16(1), 29–41.

Proserpio, D., & Zervas, G. (2017). Online reputation management: Estimating the impact of management responses on consumer reviews. Marketing Science, 36(5), 645–665. https://doi.org/10.1287/mksc.2017.1043

Ramseook-Munhurrun, P., Lukea-Bhiwajee, S. D., & Naidoo, P. (2010). Service quality in the public service. International Journal of Management and Marketing Research, 3(1), 37–50.

Schivinski, B. (2021). Eliciting brand-related social media engagement: A conditional inference tree framework. Journal of Business Research, 130, 594–602. https://doi.org/10.1016/j.jbusres.2019.08.045

Shin, Y., Noone, B. M., & Robson, S. K. (2020). An exploration of the effects of photograph content, photograph source, and price on consumers’ online travel booking intentions. Journal of Travel Research, 59(1), 120–139. https://doi.org/10.1177/0047287518817399

Sigala, M. (2017). The impact of experience design on customer satisfaction and loyalty: A case study of hotels in Thailand. Journal of Quality Assurance in Hospitality & Tourism, 18(4), 377–404.

Sigala, M. (2020). Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research. Journal of business research, 117, 312–321. https://doi.org/10.1016/j.jbusres.2020.06.015

Śmietana, K., Konowalczuk, J., & Maszczyk, A. (2014). Rating in the assessment of investment property. Real Estate Management and Valuation, 22(2), 98–107. https://doi.org/10.2478/remav-2014-0021

Solomon, M. R., Dahl, D. W., White, K., et al. (2019). Consumer Behavior: Buying, Having, and Being, 12th ed. Pearson.

Tarde, G. (1935). Theory of the Causation of Economic Behavior. Economic Psychology: Theoretical Foundations, McGraw-Hill, 1997 (Spanish).

Ullah, I., Rukh, G., Zhou, J., et al. (2019). Modeling customer satisfaction in online hotel booking. Journal of Retailing and Consumer Services, 48, 100–104. https://doi.org/10.1016/j.jretconser.2019.01.012

Viglia, G., & Acuti, D. (2023). How to overcome the intention–behavior gap in sustainable tourism: tourism agenda 2030 perspective article. Tourism Review, 78(2), 321–325. https://doi.org/10.1108/tr-07-2022-0326

Wooldridge, J. M. (2015). Introductory econometrics: A modern approach. Cengage Learning.




DOI: https://doi.org/10.24294/jipd.v8i10.4683

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