Preliminary Study on Consumer Attitude towards FinTech Products and Services in Malaysia
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2018-05-22 https://doi.org/10.14419/ijet.v7i2.29.13310 -
FinTech, Consumers attitude, Technology Acceptance Model, Financial services, Technology -
Abstract
“FinTech†or a compound term of Financial Technology refers as a newly emerged industry that utilizes IT-centered technologies which aims to boost the efficiency of the financial ecosystem. Since its inception, FinTech has successfully established its presence in the global financial industry due to the benefits and advantages of the system. However, the research studies that highlight the importance of FinTech are scarce. Specifically, the study pertaining to the consumers’ attitude towards FinTech products and services in the context of Malaysia remains unexplored by most of the studies. This preliminary study proposed the extension of Technology Acceptance Model (TAM) to identify the potential factors that influence consumers’ intention to adopt FinTech products and services in Malaysia. This study reviewed the factors, namely the usefulness, ease of use, competitive advantage, perceived risk, and perceived cost that can potentially influence the attitude of customers towards the product and services of FinTech. This study also proposes the potential mediating effect of attitude towards using FinTech products and the intention to adopt FinTech. This study attempts to create new knowledge geared towards the behavior to utilize FinTech products in Malaysia.
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References
[1] Al-Fahim, N. H. (2016). An examination factors influencing the intention to adopt internet banking among SMEs in Yemen: using an extension of the technology acceptance model (TAM). Journal of Internet Banking and Commerce, 21(5), 1-23.
[2] Amaro, S., & Duarte, P. (2015). An integrative model of consumers' intentions to purchase travel online. Tourism Management, 46, 64-79.
[3] Cham, T. H., Lim, Y. M., Cheng, B. L., & Lee, T. H. (2016). Determinants of knowledge management systems success in the banking industry. VINE Journal of Information and Knowledge Management Systems, 46(1), 2-20.
[4] Cham, T. H., Ng, C. K. Y., Lim, Y. M., & Cheng, B. L. (2018). Factors influencing clothing interest and purchase intention: a study of Generation Y consumers in Malaysia. The International Review of Retail, Distribution and Consumer Research, 28(2), 174-189.
[5] Chuang, L. M., Liu, C. C., & Kao, H. K. (2016). The adoption of fintech service: TAM perspective. International Journal of Management and Administrative Sciences, 3(7), 1-15.
[6] Cox, D. F., & Rich, S. U. (1964). Perceived risk and consumer de-cision-making: The case of telephone shopping. Journal of Marketing Research, 1(4). 32-39.
[7] Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
[8] Hsu, C. L., & Lin, J. C. C. (2016). Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological Forecasting and Social Change, 108, 42-53.
[9] Kim, Y., Park, Y. J., Choi, J., & Yeon, J. (2015). An Empirical Study on the Adoption of “Fintech†Service: Focused on Mobile Payment Services. Advanced Science and Technology Letters, 114(26), 136-140.
[10] Kleijnen, M., Wetzels, M., & De Ruyter, K. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8(3), 206-217.
[11] Krishanan, D., Khin, A. A., & Low, K. L. T. (2015). Attitude towards using mobile banking in Malaysia: a conceptual framework. British Journal of Economics, Management and Trade, 7(4), 306-315.
[12] Kuo, Y. F., & Yen, S. N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103-110.
[13] Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.
[14] Lee, S. (2016). User Behavior of Mobile Enterprise Applications. KSII Transactions on Internet and Information Systems, 10(8), 3972-3985.
[15] Lim, Y. M., & Cham, T. H. (2015). A profile of the Internet shoppers: Evidence from nine countries. Telematics and Informatics, 32(2), 344-354.
[16] Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information and Management, 48(8), 393-403.
[17] Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891.
[18] Martins, C., Oliveira, T., & PopoviÄ, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International journal of Information Management, 34(1), 1-13.
[19] Muk, A., & Chung, C. (2015). Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research, 68(1), 1-6.
[20] Saunders, M., Lewis, P., & Thornhill A. (2012). Research Methods for Business Students (6th Edition). UK: Pearson.
[21] Shih, Y. Y., & Fang, K. (2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research, 14(3), 213-223.
[22] Singapore, F. (2017, Jan 13). Top 10 Fintech (Startups) in Malaysia. Retrieved from http://fintechnews.sg/7899/malaysia/top-10-fintech-startups-malaysia/
[23] Statista.com. (2017). Potential users for FinTech product in Malaysia Retrieved from https://www.statista.com/outlook/295/122/ fintech/malaysia#
[24] Tan, M., & Teo, T. S. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems, 1(5), 1-42.
[25] Tarhini, A., Hassouna, M., Abbasi, M. S., & Orozco, J. (2015). Towards the Acceptance of RSS to Support Learning: An empirical study to validate the Technology Acceptance Model in Lebanon. Electronic Journal of e-Learning, 13(1), 30-41.
[26] Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
[27] Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5), 719-729.
[28] Yiu, C. S., Grant, K., & Edgar, D. (2007). Factors affecting the adoption of Internet Banking in Hong Kong-implications for the banking sector. International Journal of Information Management, 27(5), 336-351.
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How to Cite
Tat Huei, C., Suet Cheng, L., Chee Seong, L., Aye Khin, A., & Ling Leh Bin, R. (2018). Preliminary Study on Consumer Attitude towards FinTech Products and Services in Malaysia. International Journal of Engineering & Technology, 7(2.29), 166-169. https://doi.org/10.14419/ijet.v7i2.29.13310Received date: 2018-05-26
Accepted date: 2018-05-26
Published date: 2018-05-22