The Technology Acceptance Model of Mobile Payment Usage on Generation Z
DOI:
https://doi.org/10.21512/bbr.v11i3.6394Keywords:
Technology Acceptance Model, mobile payment, Generation ZAbstract
The research aimed to support Technology Acceptance Model (TAM) theories such as Perceived Ease of
Use (PEOU), Security (SECU), Brand Loyalty (BL), Behavioural Intention (BI), and the marketing models,
Electronic Word of Mouth (EWOM), on the use of mobile payments of the Generation Z. The researchers used
the quantitative method. Using a non-probability sampling method with a convenience sampling technique, there
were 100 respondents of Generation Z. The data were then analyzed using Structural Equation Modeling (SEM)
with Partial Least Square (PLS). The results show that PEOU has no significant effect on BI. SECU and BL affect
BI significantly. Then, BI has a significant impact on EWOM. It means that PEOU is not an important factor for
Generation Z to use mobile payment. SECU and BL make the Generation Z continue to use mobile payment
without worrying about data privacy issues because BL is embedded in their mind. As a result of BI, Generation
Z will do marketing in the form of EWOM to their closest friends or relatives via social media.
Plum Analytics
References
Arisandi, D., & Pradana, M. N. R. (2018). Pengaruh penggunaan social media terhadap brand awareness pada objek wisata di kota Batam. Jurnal Riset Manajemen dan Bisnis Dewantara (JMD), 1(2), 109-116. https://doi.org/10.26533/jmd.v1i2.263
Bailey, A. A., Pentina, I., Mishra, A. S., & Mimoun, M. S. B. (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
Bauto, C. (2019). The uprising of mobile payments. Retrieved from https://www.asiapremierbpo.com/the-uprising-of-mobile-payments/
Chawla, D., & Joshi, H. (2017). Consumer perspectives about mobile banking adoption in India–A cluster analysis. International Journal of Bank Marketing, 35(4), 616-636. https://doi.org/10.1108/ijbm-03-2016-0037
Choi, Y. G., Ok, C., & Hyun, S. S. (2017). Relationships between brand experiences, personality traits, prestige, relationship quality, and loyalty: An empirical analysis of coffeehouse brands. International Journal of Contemporary Hospitality Management, 29(4), 1185-1202. https://doi.org/10.1108/ijchm-11-2014-0601
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(July), 334-344. https://doi.org/10.1016/j.jretconser.2016.04.011
Duarte, P., Silva, S. C. E, & Ferreira, M. B. (2018). How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer Services, 44(September), 161-169. https://doi.org/10.1016/j.jretconser.2018.06.007
Fan, J., Shao, M., Li, Y., & Huang, X. (2018). Understanding users’ attitude toward mobile payment use: A comparative study between China and the USA. Industrial Management & Data Systems, 118(3), 524-540. https://doi.org/10.1108/imds-06-2017-0268
Febriyantoro, M. T., & Arisandi, D. (2018). Pemanfaatan digital marketing bagi usaha mikro, kecil dan menengah pada era masyarakat ekonomi ASEAN. Jurnal Riset Manajemen dan Bisnis Dewantara (JMD), 1(2), 61-76. https://doi.org/10.26533/jmd.v1i2.175
Fitriansyah, A., & Harris, I. (2018). Pengukuran kepuasan pengguna situs web dengan metode End User Computing Satisfaction (EUCS). Query: Journal of Information Systems, 2(1), 1-8.
Gerhana, Y. A., Irfan, M., & Slamet, C. (2017). Implementasi Technology Acceptance Model untuk mengukur penerimaan guru terhadap inovasi pembelajaran (Studi kasus model pembelajaran CBR di SMK). Jurnal ISTEK, 10(2), 1-18.
Gordon, R., Zainuddin, N., & Magee, C. (2016). Unlocking the potential of branding in social marketing services: Utilising brand personality and brand personality appeal. Journal of Services Marketing, 30(1), 48-62. https://doi.org/10.1108/jsm-02-2015-0105
Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in Partial Least Squares Structural Equation Modeling. SAGE Publications.
Harris, I. (2019). Kehebatan situs belanja daring dalam mempengaruhi emosi dan kepercayaan pembeli. Jurnal Riset Manajemen dan Bisnis Dewantara (JMD), 2(2), 81-88. https://doi.org/10.26533/jmd.v2i2.369
Kristina, N., Venny, & Vironika, V., & Sundiman, D. (2019). Entrepreneurial factors and work environment factors for millennial women’s performance. MBIA, 18(2), 134-140. https://doi.org/10.33557/mbia.v18i2.346
Mun, Y. P., Khalid, H., & Nadarajah, D. (2017). Millennials’ perception on mobile payment services in Malaysia. Procedia Computer Science, 124, 397-404. ttps://doi.org/10.1016/j.procs.2017.12.170
Nielsen. (2016). Mobile money. Retrieved from https://www.nielsen.com/be/en/insights/report/2016/mobile-money
Oktaviani, N., Astuti, W., & Firdiansjah, A. (2019). Pengaruh kepuasan konsumen terhadap pembentukan komitmen pelanggan dan e-WOM pada pengguna aplikasi e-money “OVO”. Jurnal Manajemen dan Pemasaran Jasa, 12(1), 93-112. https://doi.org/10.25105/jmpj.v12i1.3757
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(August), 404-414. https://doi.org/10.1016/j.chb.2016.03.030
Priporas, C., Stylos, N., & Kamenidou, I. (2019). City image, city brand personality and Generation Z residents’ life satisfaction under economic crisis: Predictors of city-related social media engagement. Journal of Business Research, In Press. https://doi.org/10.1016/j.jbusres.2019.05.019
Purwianti, L., & Tio, K. (2017). Faktor-faktor yang mempengaruhi behavioural intention. Jurnal Manajemen Maranatha, 17(1), 15-32. https://doi.org/10.28932/jmm.v17i1.415
PwC. (2019). It’s time for a consumer-centred metric: Introducing ‘return on experience’. Retrieved from https://www.pwc.com/gx/en/consumermarkets/consumer-insights-survey/2019/report.pdf
Ramadan, R., & Aita, J. (2018). A model of mobile payment usage among Arab consumers. International Journal of Bank Marketing, 36(7), 1213-1234. https://doi.org/10.1108/ijbm-05-2017-0080
Sharma, H., & Aggarwal, A. G. (2019). Finding determinants of e-commerce success: A PLS-SEM approach. Journal of Advances in Management Research, 16(4), 453-471. https://doi.org/10.1108/jamr-08-2018-0074
Shen, O. W., & Yazdanifard, R. (2015). Has mobile payment finally live up to its expectation in replacing cash and credit? International Journal of Management. Accounting and Economics, 2(5), 488-497.
Sinha, M., Majra, H., Hutchins, J., & Saxena, R. (2019). Mobile payments in India: The privacy factor. International Journal of Bank Marketing, 37(1), 192-209. https://doi.org/10.1108/ijbm-05-2017-0099
Stack, L. (2018). Are you 21 to 37? You might be a millennial. Retrieved from https://www.nytimes.com/2018/03/01/style/millennials.html
Sundiman, D., Wu, C. H., Mursidi, A., & Ting, I. H. (2019). Task-individual-Social software fit in knowledge creation performance. International Journal of Knowledge Management (IJKM), 15(2), 36-54. https://doi.org/10.4018/ijkm.2019040103
Taylor, E. (2016). Mobile payment technologies in retail: A review of potential benefits and risks. International Journal of Retail & Distribution Management, 44(2), 159-177. https://doi.org/10.1108/ijrdm-05-2015-0065
Tiihonen, J., & Felfernig, A. (2017). An introduction to personalization and mass customization. Journal of Intelligent Information Systems, 49, 1-7. https://doi.org/10.1007/s10844-017-0465-4
Vahrenkamp A. (2018). Gen Z through the mobile payments lens. Retrieved from https://www.mobilepaymentstoday.com/blogs/gen-z-throughthe-mobile-payments-lens/
Wang, T., Yeh, R. K. J., Chen, C., & Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4), 1034-1047. https://doi.org/10.1016/j.tele.2016.03.005
Wu, J., Liu, L., & Huang, L. (2017). Consumer acceptance of mobile payment across time: Antecedents and moderating role of diffusion stages. Industrial Management & Data Systems, 117(8), 1761-1776. https://doi.org/10.1108/imds-08-2016-0312
Downloads
Published
Issue
Section
License
Copyright (c) 2020 Nerry Kristina, Ibnu Harris
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)