Analysis of Influencing Factors Intention to Use E-Wallet Using Tam Model

Ifan Wicaksana Siregar, Eka Yulianti, Novi Susyani

Abstract


This study aims to determine the factors that influence the intention to use e-wallets in Indonesia. The study has narrowed the   knowledge gap of previous studies in terms of examining four factors ina single setting and focusing on vulnerable 18-55year olds as respondents. In addition, this research has developed mainstream literature on the use of e-wallets. The findings ascertained the significance of the four factors under investigation, and three hypotheses supported for respondents, allowing implications from multiple perspectives of   the strategy to suggest   increased use of e-money.  According to the findings in this study, trust in the provider, the value of enjoyment and the value of comfort seem to be important factors that will influence the intention to use an e-wallet, thus   requires more attention from online transaction facility providers, banks, and software developers.  This means that whatever improvement of the existing e-payment system must consider these characteristics, namely: comfortable, enjoyable and trustworthy. 


Keywords


Influencing; E-Wallet; Tam Model

Full Text:

PDF

References


Alvara Strategic Research. (2019, July 9). Behavior and Preferences of Indonesian Millennial Consumers towards E-Commerce Applications 2019. https://alvara-strategic.com/wp-content/uploads/2019/07/PRESS-CON-BAHASA-E-COMMERCE-REPORT.pdf

Au, Y. A., & Kauffman, R. J. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications, 7(2), 141–164. https://doi.org/10.1016/j.elerap.2006.12.004

Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20(4), 644. https://doi.org/10.1086/209376

Bagozzi, R. (2007). The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift. Journal of the Association for Information Systems, 8(4), 244–254. https://doi.org/10.17705/1jais.00122

Bailey, A. A., Pentina, I., Mishra, A. S., & Ben Mimoun, M. S. (2017). Mobile payments adoption by US consumers: An extended TAM. International Journal of Retail & Distribution Management, 45(6), 626–640. https://doi.org/10.1108/ijrdm-08-2016-0144

Bandung City Central Statistics Agency. (2020). Population By Age Group and Gender (Soul), 2018-2020. https://bandungkota.bps.go.id/indicator/12/103/1/penduduk-menurut-kelompok-umur-dan-jenis-kelamin.html

Chandra, S., Srivastava, S. C., & Theng, Y.-L. (2010). Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis. Communications of the Association for Information Systems, 27. https://doi.org/10.17705/1cais.02729

Chen, L. da. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32. https://doi.org/10.1504/ijmc.2008.015997

Cocosila, M., & Trabelsi, H. (2016). An integrated value-risk investigation of contactless mobile payments adoption. Electronic Commerce Research and Applications, 20, 159–170. https://doi.org/10.1016/j.elerap.2016.10.006

Cooper, D., & Schindler, P. (2013). Business Research Methods: 12th Edition. Mcgraw-hill Us Higher Ed.

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. https://doi.org/10.1287/mnsc.35.8.982

de Kerviler, G., Demoulin, N. T. M., & Zidda, P. (2016). Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers? Journal of Retailing and Consumer Services, 31, 334–344. https://doi.org/10.1016/j.jretconser.2016.04.011

Eggert, A., & Ulaga, W. (2002). Customer perceived value: A substitute for satisfaction in business markets? Journal of Business & Industrial Marketing, 17(2/3), 107–118. https://doi.org/10.1108/08858620210419754

Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/s1071-5819(03)00111–3

Gannamaneni, A., Ondrus, J., & Lyytinen, K. (2015, January). A Post-failure Analysis of Mobile Payment Platforms. 2015 48th Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.2015.141

Gupta, S., & Kim, H. W. (2009). Value-driven Internet shopping: The mental accounting theory perspective. Psychology & Marketing, 27(1), 13–35. https://doi.org/10.1002/mar.20317

Hampshire, C. (2017). A mixed methods empirical exploration of UK consumer perceptions of trust, risk and usefulness of mobile payments. International Journal of Bank Marketing, 35(3), 354–369. https://doi.org/10.1108/ijbm-08-2016-0105

Holbrook, M. (1999). Introduction to consumer value. Consumer Value. https://doi.org/10.4324/9780203010679.ch0

Holbrook, M. B., & Hirschman, E. C. (1982). The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun. Journal of Consumer Research, 9(2), 132. https://doi.org/10.1086/208906

Jung, Y. (2013). What a smartphone is to me: Understanding user values in using smartphones. Information Systems Journal, 24(4), 299–321. https://doi.org/10.1111/isj.12031

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

Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems, 43(1), 111–126. https://doi.org/10.1016/j.dss.2005.05.009

Kim, H. W., Xu, Y., & Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust? Electronic Commerce Research and Applications, 11(3), 241–252. https://doi.org/10.1016/j.elerap.2011.06.003

Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence: Predicting mobile payment adoption. The Service Industries Journal, 35(10), 537–554. https://doi.org/10.1080/02642069.2015.1043278

Lee, K. C., Kang, I., & McKnight, D. H. (2007). Transfer From Offline Trust to Key Online Perceptions: An Empirical Study. IEEE Transactions on Engineering Management, 54(4), 729–741. https://doi.org/10.1109/tem.2007.906851

Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. (2017). Intention to use new mobile payment systems: A comparative analysis of SMS and NFC payments. Economic Research-Economist Istraživanja, 30(1), 892–910. https://doi.org/10.1080/1331677x.2017.1305784

López-Nicolás, C., Molina-Castillo, F. J., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management, 45(6), 359–364. https://doi.org/10.1016/j.im.2008.05.001

Madureira, A. (2017). Factors that hinder the success of SIM-based mobile NFC service deployments. Telematics and Informatics, 34(1), 133–150. https://doi.org/10.1016/j.tele.2016.05.003

Malhotra, N. K., Birks, D. F., & Wills, P. A. (2013). Essentials of Marketing Research E-book. Pearson Education.

Mimouni-Chaabane, A., & Volle, P. (2010). Perceived benefits of loyalty programs: Scale development and implications for relational strategies. Journal of Business Research, 63(1), 32–37. https://doi.org/10.1016/j.jbusres.2009.01.008

Nysveen, H. (2005). Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346. https://doi.org/10.1177/0092070305276149

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

Pham, T.-T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159–172. https://doi.org/10.1016/j.techsoc.2015.05.004

Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8(1), 37–54. https://doi.org/10.1108/apjba-10-2014-0119

Sánchez-Fernández, R., & Iniesta-Bonillo, M. Á. (2007). The concept of perceived value: A systematic review of the research. Marketing Theory, 7(4), 427–451. https://doi.org/10.1177/1470593107083165

Sánchez-Fernández, R., Iniesta-Bonillo, M. Á., & Holbrook, M. B. (2009). The Conceptualisation and Measurement of Consumer Value in Services. International Journal of Market Research, 51(1), 1–17. https://doi.org/10.1177/147078530905100108

Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216. https://doi.org/10.1016/j.elerap.2009.07.005

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

Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170. https://doi.org/10.1016/0148-2963(91)90050–8

Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling Consumers' Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology & Marketing, 32(8), 860–873. https://doi.org/10.1002/mar.20823

Ström, R., Vendel, M., & Bredican, J. (2014). Mobile marketing: A literature review on its value for consumers and retailers. Journal of Retailing and Consumer Services, 21(6), 1001–1012. https://doi.org/10.1016/j.jretconser.2013.12.003

Su, P., Wang, L., & Yan, J. (2017). How users' Internet experience affects the adoption of mobile payment: A mediation model. Technology Analysis & Strategic Management, 30(2), 186–197. https://doi.org/10.1080/09537325.2017.1297788

Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1016/s0022-4359(01)00041–0

Tan, G. W.-H., Ooi, K.-B., Chong, S.-C., & Hew, T.-S. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31(2), 292–307. https://doi.org/10.1016/j.tele.2013.06.002

Turel, O., Serenko, A., & Bontis, N. (2007). User acceptance of wireless short messaging services: Deconstructing perceived value. Information & Management, 44(1), 63–73. https://doi.org/10.1016/j.im.2006.10.005

Turel, O., Serenko, A., & Bontis, N. (2010). User acceptance of hedonic digital artifacts: A theory of consumption values perspective. Information & Management, 47(1), 53–59. https://doi.org/10.1016/j.im.2009.10.002

Wang, Y., Po Lo, H., Chi, R., & Yang, Y. (2004). An integrated framework for customer value and customer‐relationship‐management performance: A customer‐based perspective from China. Managing Service Quality: An International Journal, 14(2/3), 169–182. https://doi.org/10.1108/09604520410528590

Waruwu, J. J., & Adhiutama, A. (2017). ANALYSIS OF MOTOR SHARING (ONLINE TRANSPORTATION) CUSTOMER IN BANDUNG CASE STUDY: GO-JEK IN BANDUNG. Journal of Business and Management, 6(1), 17.

Yu, J., Lee, H., Ha, I., & Zo, H. (2017). User acceptance of media tablets: An empirical examination of perceived value. Telematics and Informatics, 34(4), 206–223. https://doi.org/10.1016/j.tele.2015.11.004

Zauner, A., Koller, M., & Hatak, I. (2015). Customer perceived value—Conceptualization and avenues for future research. Cogent Psychology, 2(1), 1061782. https://doi.org/10.1080/23311908.2015.1061782

Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302




DOI: https://doi.org/10.33258/birci.v5i4.7239

Article Metrics

Abstract view : 64 times
PDF - 29 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.