Relationship between third-party agent marketing strategies and financial performance of hospitality sector
-
DOIhttp://dx.doi.org/10.21511/im.21(2).2025.12
-
Article InfoVolume 21 2025, Issue #2, pp. 146-155
- 22 Views
-
5 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The main motive of the said study was to investigate the role of third-party agent marketing strategies and financial performance of the Kingdom of Saudi Arabia’s hospitality sector (hotels). For the said purpose, a structured questionnaire is used to collect the data from respondents (hotels’ managers). The analysis was performed on the sample of 305 5-star, 4-star, and 3-star hotels. The study likely explored how these explanatory variables (number of review (NbRev), valence of review (ValRev) and consumer rating (ConsRat)) contribute to shaping consumer behavior and the effectiveness of marketing strategies in hospitality. Financial performance was measured through revenue per available room (RevPar). Correlation and t-test were used to measure the significance of marketing strategies on the financial performance of the hotel industry. The findings of the current study have shown the acceptable association of variables. While test of significance results have shown statistically significance relationship, the coefficient further assessed to get the influence of the explanatory variables on the criterion variable (financial performance). The results show that NbRev has a significant positive impact on revenue per available room (Beta = .173, t-value = 3.161, and sig-value=.002). The study also indicated that ValRev is statistically significant, and it has a positive impact on dependent variable (Beta = .212, t-value = 3.819, and sig-value = .000). The ConsRat is also found statistically significant with positive impact on the criterion variable (Beta = .253, t-value = 4.453, and sig-value = .000). The study found and concluded that online travel agency marketing strategies play a vital role in uplifting financial performance.
- Keywords
-
JEL Classification (Paper profile tab)M31, M37
-
References23
-
Tables6
-
Figures1
-
- Figure 1. Conceptual mode
-
- Table 1. Demographic statistics
- Table 2. Demographic profile
- Table 3. Correlation results
- Table 4. Model summary
- Table 5. ANOVA test
- Table 6. Coefficients test
-
- Amblee, N., & Bui, T. (2007). The impact of additional electronic word-of-mouth on sales of digital micro-products over time: A longitudinal analysis of Amazon Shorts. 2007 40th Annual Hawaii International Conference on System Sciences (HICSS’07).
- Anderson, C. (2012). The impact of social media on lodging performance.
- Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354.
- Duan, W., Gu, B., & Whinston, A. (2008). The dynamics of online word-of-mouth and product sales—an empirical investigation of the movie industry. Journal of Retailing, 84(2), 233-242.
- Ghose, A., & Ipeirotis, P. G. (2006). Designing ranking systems for consumer reviews: The impact of review subjectivity on product sales and review quality. In Proceedings of the 16th annual workshop on information technology and systems (pp. 303-310).
- Inversini, A., & Masiero, L. (2014). Selling rooms online: The use of social media and online travel agents. International Journal of Contemporary Hospitality Management, 26(2), 272-292.
- Jaworski, B. J., & Kohli, A. K. (1993). Market orientation: Antecedents and consequences. Journal of Marketing, 57, 53-70.
- Kim, W. G., Li, J. J., & Brymer, R. A. (2016). The impact of social media reviews on restaurant performance: The moderating role of excellence certificate. International Journal of Hospitality Management, 55, 41-51.
- Levy, S. E., Duan, W., & Boo, S. (2012). An analysis of one-star online reviews and responses in the Washington, D.C., lodging market. Cornell Hospitality Quarterly, 54(1), 49-63.
- Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic Word-of-Mouth in Hospitality and Tourism Management. Tourism Management, 29, 458-468.
- Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89.
- Martin-Fuentes, E., Mellinas, J. P., & Parra-Lopez, E. (2020). Online travel review rating scales and effects on hotel scoring and competitiveness. Tourism Review, 76(3), 654-668.
- Melián-González, S., Bulchand-Gidumal, J., & González López-Valcárcel, B. (2013). Online customer reviews of Hotels. Cornell Hospitality Quarterly, 54(3), 274-283.
- Nieto, J., Hernández-Maestro, R. M., & Muñoz-Gallego, P. A. (2014). Marketing decisions, customer reviews, and Business Performance: The use of the top rural website by Spanish Rural Lodging Establishments. Tourism Management, 45, 115-123.
- Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310-1323.
- Tuominen, P. (2011). The influence of TripAdvisor consumer-generated travel reviews on hotel performance.
- Viglia, G., Furlan, R., & Ladrón-de-Guevara, A. (2014). Please, talk about it! When hotel popularity boosts preferences. International Journal of Hospitality Management, 42, 155-164.
- Viglia, G., Minazzi, R., & Buhalis, D. (2016). The influence of E-word-of-mouth on hotel occupancy rate. International Journal of Contemporary Hospitality Management, 28(9), 2035-2051.
- Xie, K. L., Chen, C., & Wu, S. (2015). Online consumer review factors affecting offline hotel popularity: Evidence from Tripadvisor. Journal of Travel & Tourism Marketing, 33(2), 211-223.
- Xie, K. L., So, K. K. F., & Wang, W. (2017). Joint effects of management responses and online reviews on hotel financial performance: A data-analytics approach. International Journal of Hospitality Management, 62, 101-110.
- 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.
- Zeqiri, A. (2024). From traditional to digital: The evolution of business models in hospitality through platforms. Platforms, 2(4), 221-233.
- Zhu, F., & Zhang, X. (Michael). (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133-148.