Mobile payments (M-payment) refer to the use of mobile technology to conduct transactions. Developments in information technology in the business world have paved the way for the ubiquitous usage of m-payments. The adoption of m-payment has seen a sharp uptake during Covid-19 pandemic in Malaysia. However, some of the m-payment methods relatively show low adoption rates. While the government believed that it benefits both customers and business operations, this technology is also linked to several weaknesses resulting in lower efficiency as well as customer acceptance. There is still a lot of education and innovation that needs to be done on the benefits of m-payments among Malaysians to increase the use and adoption rate. Marketing practitioners thus seek methods that will not only enhance the m-payment service process but also update their marketing approaches by emphasizing consumers’ propensity to embrace and use new technologies based on their specific innovativeness. Integrating new attributes like domain specific innovativeness (DSI) is known to facilitate innovation and fulfill the functional needs of customers. The purpose of this concept paper is to show the positive effect of these attributes on the adoption of m-payment via the activation of customers’ socially driven need to perceive themselves as unique, as per the Technology Acceptance Model (TAM).
Abdinoor, A., & Mbamba, U. O. L. (2017). Factors influencing consumers’ adoption of mobile financial services in Tanzania. Cogent Business and Management, 4(1). https://doi.org/10.1080/23311975.2017.1392273
Aharony, N. (2014). Cloud computing: Information professionals’ and educational technology experts’ perspectives. Library Hi Tech, 32(4), 645–666. https://doi.org/10.1108/LHT-02-2014-0024
Albashrawi, M. (2017). Privacy and Personalization in Continued Usage Intention of Mobile Banking : An Integrative Perspective. Journal Information Systems Frontiers, https://doi.org/10.1007/s10796-017-9814-7.
Al-Jundi, S. A., Shuhaiber, A., & Augustine, R. (2019). Effect of consumer innovativeness on new product purchase intentions through learning process and perceived value. Cogent Business and Management, 6(1). https://doi.org/10.1080/23311975.2019.1698849
Alwi, S., Alpandi, R. M., Salleh, M. N., Basir, I. N., & Ariff, F. F. M. (2019). An empirical study on the customers’ satisfaction on fintech mobile payment services in malaysia. International Journal of Advanced Science and Technology, 28(16), 390–400.
Alwi, S., Nadia, M., Salleh, M., Alpandi, R. M., Ya’acob, F., Mariam, S., & Abdullah, M. (2021). Fintech As Financial Inclusion: Factors Affecting Behavioral Intention To Accept Mobile E-Wallet During Covid-19 Outbreak. Turkish Journal of Computer and Mathematics Education, 12(7), 2130–2141.
https://turcomat.org/index.php/turkbilmat/article/view/3356
Bigne-Alcaiz, E., Ruiz-Mafe, C., Aldas-Manzano, J., & Sanz-Blas, S. (2008). Influence of online shopping information dependency and innovativeness on internet shopping adoption. Online Information Review, 32(5), 648–667.
https://doi.org/10.1108/14684520810914025
Chauhan, V., Yadav, R., & Choudhary, V. (2019a). Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption: A study of Indian consumers. International Journal of Bank Marketing, 37(1), 323–339. https://doi.org/10.1108/IJBM-02-2018-0028
Citrin, A. V., Sprott, D. E., Silverman, S. N., & Stem, D. E. (n.d.). Adoption of Internet shopping: the role of consumer innovativeness. http://www.emerald-library.com
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Elhajjar, S., & Ouaida, F. (2020). An analysis of factors affecting mobile banking adoption. International Journal of Bank Marketing, 38(2), 352–367.
https://doi.org/10.1108/IJBM-02-2019-0055
Fagan, M., Kilmon, C., & Pandey, V. (2012). Exploring the adoption of a virtual reality simulation: The role of perceived ease of use, perceived usefulness and personal innovativeness. Campus-Wide Information Systems, 29(2), 117–127. https://doi.org/10.1108/10650741211212368
Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209–221. https://doi.org/10.1007/BF02726497
Hirunyawipada, T., & Paswan, A. K. (2006). Consumer innovativeness and perceived risk: Implications for high technology product adoption. Journal of Consumer Marketing, 23(4), 182–198. https://doi.org/10.1108/07363760610674310
Jeong, S. C., Kim, S. H., Park, J. Y., & Choi, B. (2017). Domain-specific innovativeness and new product adoption: A case of wearable devices. Telematics and Informatics, 34(5), 399–412. https://doi.org/10.1016/j.tele.2016.09.001
Karsen, M., Chandra, Y. U., & Juwitasary, H. (2019). Technological factors of mobile payment: A systematic literature review. Procedia Computer Science, 157, 489–498. https://doi.org/10.1016/j.procs.2019.09.004
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013
Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence: predicting mobile payment adoption. Service Industries Journal, 35(10), 537–554. https://doi.org/10.1080/02642069.2015.1043278
Krey, N., Chuah, S. H. W., Ramayah, T., & Rauschnabel, P. A. (2019). How functional and emotional ads drive smartwatch adoption: The moderating role of consumer innovativeness and extraversion. Internet Research, 29(3), 578–602. https://doi.org/10.1108/IntR-12-2017-0534
Kumar, S., & Yukita, A. L. K. (2021). Millennials Behavioral Intention in Using Mobile Banking: Integrating Perceived Risk and Trust into TAM (A Survey in Jawa Barat). Proceedings of the International Conference on Business and Engineering Management (ICONBEM 2021), 177, 210–217. https://doi.org/10.2991/aebmr.k.210522.028
Leong, C. M., Tan, K. L., Puah, C. H., & Chong, S. M. (2021). Predicting mobile network operators users m-payment intention. European Business Review, 33(1). https://doi.org/10.1108/EBR-10-2019-0263
Liébana-Cabanillas, F., de Luna, I. R., & Montoro-Ríosa, F. (2017). Intention to use new mobile payment systems: A comparative analysis of SMS and NFC payments. Economic Research-Ekonomska Istrazivanja , 30(1), 892–910. https://doi.org/10.1080/1331677X.2017.1305784
Liebana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129(February 2017), 117–130. https://doi.org/10.1016/j.techfore.2017.12.015
Matemba, E. D., & Li, G. (2018). Consumers’ willingness to adopt and use WeChat wallet: An empirical study in South Africa. Technology in Society, 53, 55–68. https://doi.org/10.1016/j.techsoc.2017.12.001
Munthali, George, N. C., & Xuelian, W. (2020). A new decade for social changes. Technium Social Sciences Journal, 6.
Ooi, K. B., & Tan, G. W. H. (2016). Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card. Expert Systems with Applications, 59, 33–46. https://doi.org/10.1016/j.eswa.2016.04.015
Purohit, S., & Arora, R. (2021). Adoption of mobile banking at the bottom of the pyramid: an emerging market perspective. International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-07-2020-0821
Roehrich, G. (2004). Consumer innovativeness - Concepts and measurements. Journal of Business Research, 57(6), 671–677. https://doi.org/10.1016/S0148-2963(02)00311-9
Shankar, A., & Datta, B. (2018). Factors Affecting Mobile Payment Adoption Intention: An Indian
Perspective. Global Business Review, 19(3_suppl), S72–S89.
https://doi.org/10.1177/0972150918757870
Teo, S. C., Law, P. L., & Koo, A. C. (2020). FACTORS AFFECTING ADOPTION OF E-WALLETS AMONG YOUTHS IN MALAYSIA. Journal of Information System and Technology Management, 5(19), 39–50. https://doi.org/10.35631/jistm.519004
Ulo, K. L. M., Firmansyah, A., Dwi Rahmanisa, A., Michel, A., Putri, D. A., Zafirah, H. S., Hidayanto, A. N., & Pratama, F. A. (2020, November 3). Purchasing New Smartphones among University Students: The Role of Domain-Specific Innovativeness (DSI) and Technology Product Characteristics. 2020 5th International Conference on Informatics and Computing, ICIC 2020. https://doi.org/10.1109/ICIC50835.2020.9288608
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Warkentin, M., Sharma, S., Gefen, D., Rose, G. M., & Pavlou, P. (2018). Social identity and trust in internet-based voting adoption. Government Information Quarterly, 35(2), 195–209. https://doi.org/10.1016/j.giq.2018.03.007
Widayat, W., Masudin, I., & Satiti, N. R. (2020). E-Money payment: Customers’ adopting factors and the implication for open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 6(3). https://doi.org/10.3390/JOITMC6030057
Yang, M., Al Mamun, A., Mohiuddin, M., Nawi, N. C., & Zainol, N. R. (2021). Cashless transactions: A study on intention and adoption of e-wallets. Sustainability (Switzerland), 13(2), 1–18. https://doi.org/10.3390/su13020831
