Skip to main content

Mobile Payment Adoption: Barriers for Baby Boomers in Malaysia

  • Conference paper
  • First Online:
Proceedings of International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. 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)

    Google Scholar 

  2. 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)

    Article  Google Scholar 

  3. 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)

    Article  Google Scholar 

  4. 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

  5. MCMC: Hand phone user survey (2018). https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/HPUS2018.pdf

  6. 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/

  7. 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)

    Article  Google Scholar 

  8. Ram, S., Sheth, J.N.: Consumer resistance to innovations: the marketing problem and its solutions. J. Consum. Mark. 6(2), 5–14 (1989)

    Article  Google Scholar 

  9. 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)

    Article  Google Scholar 

  10. Nel, J., Boshoff, C.: Status quo bias and shoppers’ mobile website purchasing resistance. Eur. J. Mark. 54(6), 1433–1466 (2020)

    Article  Google Scholar 

  11. Laukkanen, T., Sinkkonen, S., Kivijärvi, M., Laukkanen, P.: Innovation resistance among mature consumers. J. Consum. Mark. 24(7), 419–427 (2007)

    Article  Google Scholar 

  12. 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)

    Article  Google Scholar 

  13. 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)

    Google Scholar 

  14. 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)

    Article  Google Scholar 

  15. 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)

    Article  Google Scholar 

  16. 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)

    Article  Google Scholar 

  17. Makanyeza, C.: Determinants of consumers’ intention to adopt mobile banking services in Zimbabwe. Int. J. Bank Market. 35(6), 997–1017 (2017)

    Article  Google Scholar 

  18. 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)

    Article  Google Scholar 

  19. 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)

    Article  Google Scholar 

  20. Gupta, A., Arora, N.: Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory. J. Retail. Consum. Serv. 36, 1–7 (2017)

    Article  Google Scholar 

  21. 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)

    Article  Google Scholar 

  22. Priya, R., Gandhi, A., Shaikh, A.: Mobile banking adoption in an emerging economy. Benchmark. Int. J. 25(2), 743–762 (2018)

    Article  Google Scholar 

  23. Laukkanen, T., Kiviniemi, V.: The role of information in mobile banking resistance. Int. J. Bank Market. 28(5), 372–388 (2010)

    Article  Google Scholar 

  24. Yang, Y., Liu, Y., Li, H., Yu, B.: Understanding perceived risks in mobile payment acceptance. Ind. Manage. Data Syst. 115(2), 253–269 (2015)

    Article  Google Scholar 

  25. 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)

    Google Scholar 

  26. 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)

    Article  Google Scholar 

  27. 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)

    Article  Google Scholar 

  28. 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)

    Article  Google Scholar 

  29. Hinkin, T.R.: A brief tutorial on the development of measures for use in survey questionnaires. Organ. Res. Methods 1(1), 104–121 (1998)

    Article  Google Scholar 

  30. 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)

    Google Scholar 

  31. 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)

    Google Scholar 

  32. 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)

    Google Scholar 

  33. 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)

    Google Scholar 

  34. 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)

    Article  Google Scholar 

  35. 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)

    Article  Google Scholar 

  36. 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)

    Article  Google Scholar 

  37. 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)

    Article  Google Scholar 

  38. Saunders, M.N.K., Lewis, P., Thornhill, A.: Research Methods for Business Students, 8th edn. Pearson, London (2019)

    Google Scholar 

  39. 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)

    Article  Google Scholar 

Download references

Acknowledgement

This paper is part of a final year project that has been submitted to Universiti Tunku Abdul Rahman.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiu Ming Loh .

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

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

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

Publish with us

Policies and ethics