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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Factors Predicting DBKL Public Housing Tenant’s Intention to Accept Mobile Rental Payment

Paridah Daud, Omar Musa, Saifol Mazli Ahmad, Abdul Aziz Abdul Rahman, Norhayati Mat Said, Faizal Mahmod, Yusman Haiti, Alfian Mohd Noor Affindee

http://dx.doi.org/10.6007/IJARBSS/v13-i5/16837

Open access

Mobile payment acceptance is mushrooming due to the global advent of technology across the continents, including Malaysia. Therefore, the present study investigates the factors predicting the intention of mobile rental payment acceptance among the Dewan Bandaraya Kuala Lumpur public housing tenants. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used to make the hypothesis that individual inventiveness, social influence, perceived compatibility, and enabling circumstances all influence whether someone will accept mobile rental payment. A correlational design was conducted using simple random sampling with a lottery method to recruit participants from eleven parliamentary districts in Kuala Lumpur. A total of 501 participants completed the self-rated online questionnaires. After eliminating outliers, 488 completed responses were analysed further. A multiple regression analysis with the bootstrapping method suggested that personal innovativeness, social influence, perceived compatibility and facilitating conditions explained 83% of the variance in the intention to accept mobile rental payment. This study will benefit not only DBKL but also the tenants and the system provider. Human errors in conventional transactions can be reduce, which subsequently will improve on the collection amount. Through mobile rental payment, it is also expected that the payment method will be easier, and the amount of monthly rental payment collections will increase. For the tenants, it will ease their ways of payment whereby the do not have to come to DBKL’s counter and avoid the hassle of queuing up. By identifying the factors that influence tenants' intention to use mobile rental payments, the study can contribute to the development of policies, interventions, and technologies that promote financial inclusion and minimise the cost and burden of cash-based rental transactions. In addition to educating and giving tenants awareness programmes on the benefits and security of using mobile rental payments.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125-138.
Bank Negara Malaysia. (2021). Internet Banking and Mobile Banking Subscribers. Retrieved from https://www.bnm.gov.my/payment-statistics on June 10, 2021
Bernama. (2019). DBKL: JomPAY option for payment of rent, utility and service fees for PPR,PA. https://www.nst.com.my/news/nation/2019/01/447658/dbkl-jompay-option-payment-rent-utility-and-service-fees-ppr-pa
Bernard, H. R. (2012). Social Research Method : Qualitative and Quantitative Aproaches
Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research & Applications, 14(5), 265-284.
Dass, F. (2017). Malaysians prefer using electronic payments over cash: Visa. https://www.nst.com.my/business/2017/04/229434/malaysians-prefer-using-electronic-payments-over-cash-visa
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734
Ghezzi, A., Renga, F., Balocco, R., & Pescetto, P. (2010). Mobile Payment Applications: offer state of the art in the Italian market. Info, 12(5), 3-22.
Gupta, K., & Arora, N. (2020). Investigating consumer intention to adopt mobile payment systems: an Indian perspective. International Journal of Technology Transfer & Commercialisation, 17(2-3), 115-134.
Hew, J. J., Lee, V. H., Ooi, K. B., & Wei, J. (2015). What catalyses mobile apps usage intention: an empirical analysis. Industrial Management & Data Systems.
Hsiao, C. H., & Yang, C. (2011). The intellectual development of the technology acceptance model: A co-citation analysis. International Journal of Information Management, 31(2), 128-136.
Khan, A., Masrek, M. N., & Mahmood, K. (2019). The relationship of personal innovativeness, quality of digital resources and generic usability with users’ satisfaction: a Pakistani perspective. Digital Library Perspectives. 35(1), 15-30.
Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607 – 610.
Leong, C. M., Tan, K. L., Puah, C. H., & Chong, S. M. (2020). Predicting mobile network operators’ users m-payment intention. European Business Review. 33(1), 104-126.
Liebana-Cabanillas, F., Molinillo, S., & Japutra, A. (2020). Exploring the Determinants of Intention to Use P2P Mobile Payment in Spain. Information Systems Management, 1-16.
Lin, W. R., Lin, C. Y., & Ding, Y. H. (2020). Factors affecting the behavioral intention to adopt mobile payment: an empirical study in Taiwan. Mathematics, 8(10), 1851.
Liu, Z., Ben, S., & Zhang, R. (2019). Factors affecting consumers’ mobile payment behavior: a meta-analysis. Electronic Commerce Research, 19(3), 575-601.
Malik, A. N. A., Annuar, S. N. S. (2021). The effect of perceived usefulness, perceived ease of use, reward, and perceived risk toward e-wallet usage intention. In: Bilgin M.H., Danis H., Demir E. (eds) Eurasian Business and Economics Perspectives. Eurasian Studies in Business and Economics, vol 17. Springer, Cham.
Napitupulu, D., Kadar, J. A., & Jati, R. K. (2017). Validity testing of technology acceptance model based on factor analysis approach. Indonesian Journal of Electrical Engineering and Computer Science, 5(3), 697-704.
Oliveira, T., Thomas, M., Bapista, G., & Campos, F., (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behaviour, 61, 404-414.
Park, J., Ahn, J., Thavisay, T., & Ren, T. (2019). Examining the role of anxiety and social influence in multi-benefits of mobile payment service. Journal of Retailing & Consumer Services, 47, 140-149.
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102-144.
Pham, T. T., and Ho, J. C. (2015). The effects of product-related, personal-related factor and attractiveness of alternatives on consumer adoption of NFC-based mobile payment. Technology in Society, 43, 159-172
Pinola, M. (2017). How fast are 4G and 3G internet speeds?. Lifewire.
Purwanto, E., & Loisa, J. (2020). The intention and use behaviour of the mobile banking system in Indonesia: UTAUT Model. Technology Reports of Kansai University, 62(6), 2757-2767.
Rosnidah, I., Muna, A., Musyaffi, A. M., & Siregar, N. F. (2019). Critical factor of mobile payment acceptance in millenial generation: Study on the UTAUT model. International Symposium on Social Sciences, Education, & Humanities (ISSEH 2018), 123-127, Atlantis Press.
Singh, S., & Srivastava, R. K. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36(2), 357-378.
Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3). 369-392.
Tsai, L. L. (2021). Evaluating the Effects of Facilitating Conditions and Usage Experience on Mobile Payment. International Journal of Information Systems in the Service Sector, 13(4), 88-106.
Uma, S., & Roger, B. (2003). Research methods for business: A skill building approach. book. Fourth Edition
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Yvonne T. N. (2017). ‘ DBKL to act against former tenants owing rent’. https://www.thestar.com.my/metro/community/2017/08/15/dbkl-to-act-against-former-tenants-owing-rent/
Zikmund, W. G., Babin, B. J, Carr, J. C., & Griffin, M. (2016). Business Research Methods. Mason: South Western Cengage Learning.

In-Text Citation: (Daud et al., 2023)
To Cite this Article: Daud, P., Musa, O., Ahmad, S. M., Rahman, A. A. A., Said, N. M., Mahmod, F., Haiti, Y., & Affindee, A. M. N. (2023). Factors Predicting DBKL Public Housing Tenant’s Intention to Accept Mobile Rental Payment. International Journal of Academic Research in Business and Social Sciences, 13(5), 1663 – 1667.