Abstract
Mobile payment has been defined by many as the employment of wireless and other such technologies to pay for goods, services, and bills through mobile devices. While this method of payment has increased in popularity in Malaysia, its adoption rate among Malaysians categorized as baby boomers has not been as promising even though this group of people has high levels of spending. Unfortunately, the adoption of such payment methods has been the prime focus of many recent studies in this area, and this has consequently caused many scholars to overlook resistance. Hence, this study addresses the gap by utilizing an extended Innovation Resistance Theory. With this theory, variables such as usage, value, risk, tradition, image, as well as information barriers are used to comprehensively examine the behavioral intention of baby boomers to adopt mobile payment. A survey was conducted and 310 usable responses were collected from baby boomers across Malaysia. These participants had very limited to no experience with mobile payment. The data was then analyzed and it was found that barriers included in this study have significant relationships with the behavioral intention of baby boomers in Malaysia to adopt mobile payment. The present study provides contributions to many stakeholders to encourage Malaysian baby boomers to use mobile payment services.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Loh, X.M., Lee, V.H., Tan, G.W.H., Ooi, K.B., Dwivedi, Y.K.: Switching from cash to mobile payment: what’s the hold-up? Internet Research (2020)
Slade, E.L., Williams, M.D., Dwivedi, Y.K.: Mobile payment adoption: classification and review of the extant literature. Mark. Rev. 13(2), 167–190 (2013)
Lew, S., Tan, G.W.H., Loh, X.M., Hew, J.J., Ooi, K.B.: The disruptive mobile wallet in the hospitality industry: an extended mobile technology acceptance model. Technol. Soc. 63, 101430 (2020)
Golingai, P.: Going cashless at a snail’s pace (2019). https://www.thestar.com.my/opinion/columnists/one-mans-meat/2019/01/26/going-cashless-at-a-snails-pace-malaysians-through-force-of-habit-are-still-very-reliant-on-cash-whi
MCMC: Hand phone user survey (2018). https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/HPUS2018.pdf
Nielsen: Cash or cashless? Malaysia’s shifting payment landscape (2019). https://www.nielsen.com/my/en/insights/article/2019/cash-or-cashless-malaysias-shifting-payment-landscape/
Ooi, K.B., Tan, G.W.H.: Mobile technology acceptance model: an investigation using mobile users to explore smartphone credit card. Expert Syst. Appl. 59, 33–46 (2016)
Ram, S., Sheth, J.N.: Consumer resistance to innovations: the marketing problem and its solutions. J. Consum. Mark. 6(2), 5–14 (1989)
Leong, L.Y., Hew, T.S., Ooi, K.B., Wei, J.: Predicting mobile wallet resistance: a two-staged structural equation modeling-artificial neural network approach. Int. J. Inf. Manage. 51, 102047 (2020)
Nel, J., Boshoff, C.: Status quo bias and shoppers’ mobile website purchasing resistance. Eur. J. Mark. 54(6), 1433–1466 (2020)
Laukkanen, T., Sinkkonen, S., Kivijärvi, M., Laukkanen, P.: Innovation resistance among mature consumers. J. Consum. Mark. 24(7), 419–427 (2007)
Joachim, V., Spieth, P., Heidenreich, S.: Active innovation resistance: an empirical study on functional and psychological barriers to innovation adoption in different contexts. Ind. Mark. Manage. 71, 95–107 (2018)
Kuerbis, A., Mulliken, A., Muench, F., Moore, A.A., Gardner, D.: Older adults and mobile technology: factors that enhance and inhibit utilization in the context of behavioral health. Mental Health Addict. Res. 2(2), 1–11 (2017)
Sun, B., Sun, C., Liu, C., Gui, C.: Research on initial trust model of mobile banking users. J. Risk Anal. Crisis Response 7(1), 13–20 (2017)
Rammile, N., Nel, J.: Understanding resistance to cell phone banking adoption through the application of the technology acceptance model (TAM). Afr. J. Bus. Manage. 6(1), 86–97 (2012)
Awasthi, P., Sangle, P.S.: The importance of value and context for mobile CRM services in banking. Bus. Process Manage. J. 19(6), 864–891 (2013)
Makanyeza, C.: Determinants of consumers’ intention to adopt mobile banking services in Zimbabwe. Int. J. Bank Market. 35(6), 997–1017 (2017)
Yu, C.S., Chantatub, W.: Consumers’ resistance to using mobile banking: evidence from Thailand and Taiwan. Int. J. Electron. Commer. Stud. 7(1), 21–38 (2016)
Laukkanen, T.: Consumer adoption versus rejection decisions in seemingly similar service innovations: the case of the Internet and mobile banking. J. Bus. Res. 69(7), 2432–2439 (2016)
Gupta, A., Arora, N.: Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory. J. Retail. Consum. Serv. 36, 1–7 (2017)
Cruz, P., Neto, L.B.F., Munoz-Gallego, P., Laukkanen, T.: Mobile banking rollout in emerging markets: evidence from Brazil. Int. J. Bank Market. 28(5), 342–371 (2010)
Priya, R., Gandhi, A., Shaikh, A.: Mobile banking adoption in an emerging economy. Benchmark. Int. J. 25(2), 743–762 (2018)
Laukkanen, T., Kiviniemi, V.: The role of information in mobile banking resistance. Int. J. Bank Market. 28(5), 372–388 (2010)
Yang, Y., Liu, Y., Li, H., Yu, B.: Understanding perceived risks in mobile payment acceptance. Ind. Manage. Data Syst. 115(2), 253–269 (2015)
Loh, X.M., Lee, V.H., Tan, G.W.H., Hew, J.J., Ooi, K.B.: Towards a cashless society: the imminent role of wearable technology. J. Comput. Inf. Syst. (2019)
Foo, P.Y., Lee, V.H., Tan, G.W.H., Ooi, K.B.: A gateway to realising sustainability performance via green supply chain management practices: a PLS–ANN approach. Expert Syst. Appl. 107, 1–14 (2018)
Ooi, K.B., Lee, V.H., Tan, G.W.H., Hew, T.S., Hew, J.J.: Cloud computing in manufacturing: the next industrial revolution in Malaysia? Expert Syst. Appl. 93, 376–394 (2018)
Leong, L.Y., Hew, T.S., Ooi, K.B., Tan, G.W.H.: Predicting actual spending in online group buying–an artificial neural network approach. Electron. Commer. Res. Appl. 38, 100898 (2019)
Hinkin, T.R.: A brief tutorial on the development of measures for use in survey questionnaires. Organ. Res. Methods 1(1), 104–121 (1998)
Tew, H.T., Tan, G.W.H., Loh, X.M., Lee, V.H., Lim, W.L., Ooi, K.B.: Tapping the next purchase: embracing the wave of mobile payment. J. Comput. Inf. Syst., 1–9 (2021)
Ooi, K.B., Foo, F.E., Tan, G.W.H., Hew, J.J., Leong, L.Y.: Taxi within a grab? A gender-invariant model of mobile taxi adoption. Ind. Manage. Data Syst. 121(2), 312–332 (2020)
Hew, J.J., Wong, L.W., Tan, G.W.H., Ooi, K.B., Lin, B.: The blockchain-based Halal traceability systems: a hype or reality? Supply Chain Manage. Int. J. 25(6), 863–879 (2020)
Wong, L.W., Tan, G.W.H., Hew, J.J., Ooi, K.B., Leong, L.Y.: Mobile social media marketing: a new marketing channel among digital natives in higher education? J. Market. High. Educ., 1–25 (2020)
Tan, G.W.H., Lee, V.H., Hew, J.J., Ooi, K.B., Wong, L.W.: The interactive mobile social media advertising: an imminent approach to advertise tourism products and services? Telematics Inform. 35(8), 2270–2288 (2018)
Hew, J.J., Leong, L.Y., Tan, G.W.H., Ooi, K.B., Lee, V.H.: The age of mobile social commerce: an artificial neural network analysis on its resistances. Technol. Forecast. Soc. Chang. 144, 311–324 (2019)
Lee, V.H., Hew, J.J., Leong, L.Y., Tan, G.W.H., Ooi, K.B.: Wearable payment: a deep learning-based dual-stage SEM-ANN analysis. Expert Syst. Appl. 157, 113477 (2020)
Wong, L.W., Tan, G.W.H., Lee, V.H., Ooi, K.B., Sohal, A.: Unearthing the determinants of Blockchain adoption in supply chain management. Int. J. Prod. Res. 58(7), 2100–2123 (2020)
Saunders, M.N.K., Lewis, P., Thornhill, A.: Research Methods for Business Students, 8th edn. Pearson, London (2019)
Yan, L.Y., Tan, G.W.H., Loh, X.M., Hew, J.J., Ooi, K.B.: QR code and mobile payment: the disruptive forces in retail. J. Retail. Consum. Serv. 58, 102300 (2020)
Acknowledgement
This paper is part of a final year project that has been submitted to Universiti Tunku Abdul Rahman.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix A (Questionnaire Items)
Appendix A (Questionnaire Items)
Construct | Measurement item |
---|---|
Usage barrier | UB1: I find that mobile payment is difficult to use |
UB2: I find that mobile payment is inconvenient to use | |
UB3: I find that mobile payment is inefficient compare to paying in cash | |
UB4: I find that instruction provided on the mobile payment platform is unclear | |
Value barrier | VB1: For me, using mobile payment is uneconomical |
VB2: For me, using mobile payment does not help to increase the ability to control my own financial matters | |
VB3: For me, using mobile payment services does not offer any extra benefits when compared to cash payment | |
VB4: For me, using mobile payment does not eliminate the constraint of time when conducting the transactions | |
VB5: For me, mobile payment is not a good substitute for traditional cash payment | |
Risk barrier | RB1: I am afraid of making any mistakes in the process of using mobile payment |
RB2: I am afraid of entering wrong information during the payment process | |
RB3: I am afraid of the exposure of private information by using the mobile payment platform | |
RB4: I am afraid of any unreasonable or fraudulent charges if using the mobile payment services | |
RB5: I am afraid of faultiness in the functions of mobile payment | |
Tradition barrier | TB1: I feel impatient with the mobile payment applications |
TB2: I prefer to face-to-face communication with the seller to purchase goods and services that I want | |
TB3: I prefer to use physical forms of payment for my transactions | |
TB4: I prefer to make payment through a computer rather than using mobile phones or tablets | |
Image barrier | IMB1: Mobile payment projected a very negative image |
IMB2: Mobile payments are perceived to be difficult to use | |
IMB3: New technologies are always too complicated to use | |
IMB4: The reputation of mobile payment service providers is not so good | |
Information barrier | INB1: I think it is difficult to get enough information about mobile payment services |
INB2: I think the information available on mobile payment services is unclear and unhelpful | |
INB3: I think there is not enough guidance from service providers in relation to mobile payment service | |
INB4: The information available concerning mobile payment services is not overwhelming | |
Behavioral intention | BI1: I will use mobile payment services in the near future |
BI2: I will use mobile payment services if the opportunity arises | |
BI3: It is likely that I will use mobile payment services in the future | |
BI4: I am planning to use mobile payment services | |
BI5: I intend to learn how to use mobile payment services to carry out my transactions |
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Lau, U.H. et al. (2022). Mobile Payment Adoption: Barriers for Baby Boomers in Malaysia. In: Al-Emran, M., Al-Sharafi, M.A., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2021. Lecture Notes in Networks and Systems, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-82616-1_47
Download citation
DOI: https://doi.org/10.1007/978-3-030-82616-1_47
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-82615-4
Online ISBN: 978-3-030-82616-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)