Causal Factors Influencing Condominium Rental Intention among Elderly Social Media Users in Bangkok and Its Vicinity
Keywords:
Condominium, Rental Intention, Elderly Consumers, Social Media, Causal FactorsAbstract
This research aims to (1) develop and validate a causal relationship model of condominium rental intention among elderly social media users in Bangkok and its vicinity, and (2) examine the causal factors influencing such intention. A quantitative research approach was employed using an online questionnaire administered to 400 elderly respondents who had experience using social media platforms for condominium rental purposes. Data were analyzed using frequency, percentage, confirmatory factor analysis (CFA), and structural equation modeling (SEM). The results indicate that the proposed model demonstrates a good fit with the empirical data (CMIN/df = 2.02, GFI = 0.90, AGFI = 0.90, SRMR = 0.02, RMSEA = 0.05) and explains a high proportion of variance in rental intention. The model consists of six key constructs: reputation, perceived ease of use, perceived risk, social support, trust, satisfaction, and rental intention. The findings reveal that trust is the most significant predictor of rental intention, followed by satisfaction and reputation. Perceived ease of use and social support positively influence trust and satisfaction, while perceived risk negatively affects trust. The results suggest that elderly consumers place strong emphasis on reliability, simplicity, and security when making rental decisions through social media. Real estate entrepreneurs can apply these insights to develop age-friendly digital marketing strategies, enhance platform usability, and build trust to increase engagement among elderly users. This study contributes to the literature by extending the causal model of rental intention to the context of elderly consumers in the digital environment.
References
Dummanonda, T., & Nuangjamnong, C. (2021). The influence of social media advertising value on consumer behavior in renting apartment rooms in Bangkok, Thailand. International Research E-Journal on Business and Economics, 6(1).
Nhlabathi, M., Mgiba, F. M., & Ligaraba, N. (2022). Social media marketing attributes, Sandton’s rental market brand image, and the millennials’ rental preference: An empirical study. Real Estate Management and Valuation, 30(1), 34–52. https://doi.org/10.2478/remav-2022-0004
Syafitri, E., Syahil, M. C., & Srihadi, T. F. (2025). The effect of social media marketing on brand awareness to purchase intention on apartment products. Journal of Management, Economic, and Financial, 3(3), 1–17.
Long, H. C., & Nguyen, N. H. T. (2024). How social media marketing impacts the apartment purchase intention of Generation Z in Ho Chi Minh City. Journal of Finance-Marketing Research, 113–123.
Tarigan, A., & Noverin, D. T. (2024). The influence of social media marketing and brand image on intention to purchase residential apartments. Journal Ilmiah Manajemen dan Bisnis, 10(1), 81–96.
Vuković, M. (2024). Generational differences in behavioral factors affecting real estate purchase intention. Property Management, 42(1), 86–104. https://doi.org/10.1108/PM-12-2021-0098
Thaldumrong, P. (2024). Exploring the factors influencing Chinese consumers’ condominium purchase decision. ABAC Journal, 44(3), 145–165.
Zhang, X., Wei, X., Zhang, T., Liang, S., Ma, Y., & Law, R. (2024). Power of sentiment expressions on peer-to-peer rental platforms: A mixed-method approach. Journal of Travel Research, 63(2), 428–446. https://doi.org/10.1177/00472875231184907
Taecharungroj, V. (2021). Google Maps amenities and condominium prices: Investigating the effects and relationships using machine learning. Habitat International, 118, 102463. https://doi.org/10.1016/j.habitatint.2021.102463
Thompson, S. E., Easthope, H., & Davison, G. (2024). Including the majority: Examining the local social interactions of renters in four case study condominiums in Sydney. Journal of Urban Affairs, 46(1), 119–138. https://doi.org/10.1080/07352166.2021.1998730
Lee, C. K. H., Tse, Y. K., Leung, E. K. H., & Wang, Y. (2024). Causal recipes of customer loyalty in a sharing economy: Integrating social media analytics and fsQCA. Journal of Business Research, 181, 114747. https://doi.org/10.1016/j.jbusres.2023.114747
de Jaureguizar Cervera, D., Pérez-Bustamante Yábar, D. C., & de Esteban Curiel, J. (2022). Factors affecting short-term rental first price: A revenue management model. Frontiers in Psychology, 13, 994910. https://doi.org/10.3389/fpsyg.2022.994910
Teruel-Gutierrez, R., & Mate-Sanchez-Val, M. (2021). The impact of Instagram on Airbnb’s listing prices in the city of Barcelona. The Annals of Regional Science, 67(3), 737–763. https://doi.org/10.1007/s00168-021-01095-4
Lee, C. C., Ting, L. J., Yeh, W. C., & Yu, Z. (2021). The influence of the technical dimension, functional dimension, and tenant satisfaction on tenant loyalty: An analysis based on the theory of planned behavior. International Journal of Strategic Property Management, 25(6), 469–484. https://doi.org/10.3846/ijspm.2021.15762
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 International Accounting and Management Science Journal (IAMSJ)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles in this journal are copyrighted by the x may be read and used for academic purposes, such as teaching, research, or citation, with proper credit given to the author and the journal.use or modification of the articles is prohibited without permission.
statements expressed in the articles are solely the opinions of the authors.
authors are fully responsible for the content and accuracy of their articles.
other reuse or republication requires permission from the journal."