Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2021 | 2(13) | 4-21

Article title

Understanding Proximity Mobile Payments Adoption in South Africa: A Perceived Risk Perspective

Content

Title variants

Languages of publication

Abstracts

EN
Although existing literature claims that consumers are ready for proximity mobile payments, the reality is that adoption is still low in South Africa. Service providers’ attempts to translate this potential into profi t is hindered by consumers’ perception of risks associated with proximity mobile payments. The purpose of this study was to investigate the perceived risk dimensions as possible inhibitors of proximity mobile payment adoption, as well as to investigate the role of gender diff erences, drawing from the perceived risk and push-pull theories. Using a convenience sample, data was collected from South African smartphone users, from whom 284 valid online surveys were obtained. The standard regression analysis reveals that fi nancial-security and performance risk are predictors of proximity mobile payment adoption, and that product risk is not a signifi cant predictor, at least in the South African context. The fi ndings also reveal that both genders feel more or less the same about the infl uence of risk factors on the adoption of mobile proximity payments, except for performance risk. The results also show that females are more concerned about the performance of proximity mobile payments than males. The study provides tangible insights that service providers and marketers can use to guide application development and communication with consumers. A contribution is also made to the limited empirical research on the infl uence of proximity mobile payment risks on adoption during crisis times.

Contributors

  • Department of Marketing Management, University of Pretoria, Lynnwood Road, Hatfi eld, Pretoria, South Africa
  • Department of Marketing Management, University of Pretoria, Lynnwood Road, Hatfi eld, Pretoria, South Africa

References

  • Alton, L. (2017, April 26). A look at the benefi ts of money-back guarantees in modern marketing. Entrepreneur. Retrieved from https://www.entrepreneur.com/article/293330
  • Arde, A. (2019, April 28). Payments without cash or card a growing trend. TimesLive. Retrieved from https://www.timeslive.co.za/sunday-times/business/2019-04-28-payments-without-cash-or-card-a--growing-trend/
  • Ariffin, S.K., Mohan, T., & Goh, Y. (2018). Infl uence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309–327. https://doi.org/10.1108/jrim-11-2017-0100
  • Bauer, R.A. (1960). Consumer behavior as risk taking. In M.J. Baker (Ed.), Marketing: Critical perspectives on business and management. Taylor & Francis.
  • Bhatti, A., Saad, S., & Gbadebo, S.M. (2018). Convenience risk, product risk, and perceived risk influence on online shopping: Moderating eff ect of attitude. International Journal of Business Management, 3(2), 1–11.
  • BusinessTech. (2021, April 3). Beware these 3 banking scams in South Africa. BusinessTech. Retrieved from https://businesstech.co.za/news/trending/479889/beware-these-3-banking-scams-in-south-africa/
  • Chen, C., & Tsang, S. (2019). Predicting adoption of mobile payments from the perspective of taxi drivers. IET Intelligent Transport Systems, 13(7), 1116–1124. https://doi.org/10.1049/iet-its.2018.5437
  • Chen, X., Carpenter, D., Li, X., Chen, C., & Hung, S. (2018). Why do individuals continue using mobile payments-A qualitative study in China. In Proceedings of the 51st Hawaii International Conference on System Sciences (pp. 1452–1461). Retrieved from http://hdl.handle.net/10125/50067
  • Cohen, S. (2018, March 16). How to craft the best welcome email to build trust with new subscribers [blog post]. CoSchedule. Retrieved from https://coschedule.com/blog/welcome-email/
  • Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265–284. https://doi.org/10.1016/j.elerap.2015.07.006
  • Dai, B. (2007). The impact of online shopping experience on risk perceptions and online purchase intentions: The moderating role of product category and gender [Doctoral dissertation]. Auburn University.
  • De Kerviler, G., Demoulin, N.T., & 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
  • Deloitte. (2019). The future of payments in South Africa. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/za/Documents/risk/za-The-future-of-payments-in-South-Africa%20.pdf
  • eMarketer. (2021, June 22). Privacy and security are top concerns for digital banking consumers. eMarketer. Retrieved from https://www.emarketer.com/content/top-concerns-digital-banking-consumers?ecid=NL1001
  • eNCA. (2019, December 12). Costly impact of load-shedding on mobile networks. Retrieved from https://www.enca.com/news/impact-load-shedding-mobile-networks
  • 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
  • Field, A. (2013). Discovering statistics using IBM SPSS Statistics (4th ed.). Sage Publications.
  • Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
  • Galal, S. (2021, June 25). Number of coronavirus (COVID-19) deaths in the African continent as of June 24, 2021, by country. Statista. Retrieved from https://www.statista.com/statistics/1170463/coronavirus-cases-in-africa/
  • GSMA. (2020). State of the industry report on mobile money-2019. Retrieved from https://www.gsma.com/sotir/wp-content/uploads/2020/03/GSMA-State-of-the-Industry-Report-on-Mobile-Money-2019-Full-Report.pdf
  • Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2019). Multivariate data analysis (8th ed.). Cengage.
  • Hamza, A., & Shah, A. (2014). Gender and mobile payment system adoption among students of tertiary institutions in Nigeria. International Journal of Computer and Information Technology, 3(1), 13–20.
  • Han, M.C., & Kim, Y. (2017). Why consumers hesitate to shop online: Perceived risk and product involvement on Taobao.com. Journal of Promotion Management, 23(1), 24–44. https://doi.org/10.1080/10496491.2016.1251530
  • Haripersad, R., & Sookdeo, B. (2018). Customer retention: Key towards sustaining competitiveness in commercial banking in South Africa. Journal of Business and Economic Policy, 5(3), 81–90. https://doi.org/10.30845/jbep.v5n3p10
  • Hubert, M., Blut, M., Brock, C., Zhang, R.W., Koch, V., & Riedl, R. (2019). The infl uence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073–1098. https://doi.org/10.1108/ejm-12-2016-0794
  • Humbani, M., & Wiese, M. (2018). A cashless society for all: Determining consumers’ readiness to adopt mobile payment services. Journal of African Business, 19(3), 409–429. https://doi.org/10.1080/15228916.2017.1396792
  • Humbani, M., & Wiese, M. (2019). An integrated framework for the adoption and continuance intention to use mobile payment apps. International Journal of Bank Marketing, 37(2), 646–664. https://doi.org/10.1108/ijbm-03-2018-0072
  • Islam, M.A., Khan, M.A., Ramayah, T., & Hossain, M.M. (2011). The adoption of mobile commerce service among employed mobile phone users in Bangladesh: Self-effi cacy as a moderator. International Business Research, 4(2), 80–89. https://doi.org/10.5539/ibr.v4n2p80
  • Kats, R. (2021, May 5). More than 100 million Americans will use proximity mobile payments in 2021. eMarketer. Retrieved from https://www.emarketer.com/content/more-than-100-million-americans-will-use-proximitymobile-payments-2021
  • Kelly, S.M. (2020, March 7). Dirty money: The case against using cash during the coronavirus outbreak. CNN Business. Retrieved from https://edition.cnn.com/2020/03/07/tech/mobile-payments-coronavirus/index.html
  • Killian, D., & Kabanda, S. (2017). Mobile payments in South Africa: Middle income earners’ perspective. In The Pacific Asia Conference on Information Systems (PACIS) 2017 Proceedings, 53. Retrieved from http://aisel.aisnet.org/pacis2017/53
  • Klongerbo, S. (2018, June 22). Why you absolutely must send welcome emails to new leads. Retrieved on October 1, 2020 from https://9clouds.com/blog/why-you-absolutely-must-send-welcome-emails-to-new-leads/
  • Kshetri, N., & Acharya, S. (2012). Mobile payments in emerging markets. IT Professional, 14(4), 9–13. https://doi.org/10.1109/mitp.2012.82
  • Kumar, R. (2019). Research methodology: A step-by-step guide for beginners. Sage Publications.
  • Liébana-Cabanillas, F., Muñoz-Leiva, F., & Sánchez-Fernández, J. (2015). Influence of age in the adoption of new mobile payment systems. Revista Brasileira de Gestão de Negócios, 17(58), 1390–1407. https://doi.org/10.7819/rbgn.v17i58.1989
  • Lefever, S., Dal, M., & Matthiasdottir, A. (2007). Online data collection in academic research: Advantages and limitations. British Journal of Educational Technology, 38(4), 574–582. https://doi.org/10.1111/j.1467-8535.2006.00638.x
  • Liu, Y., Kostakos, V., & Deng, S. (2013). Risks of using NFC mobile payment: investigating the moderating effect of demographic attributes. In Proceedings of the 15th International Conference on Electronic Commerce (pp. 125–134). 15th International Conference on Electronic Commerce, Turku, Finland, 13–15 August.
  • Liu, Y., Yang, Y., & Li, H. (2012). A unifi ed risk-benefi t analysis framework for investigating mobile payment adoption. Paper presented at the 2012 International Conference on Mobile Business, Delft, Netherlands, 21–22 June. Retrieved from http://aisel.aisnet.org/icmb2012/20
  • Lwoga, E.T., & Lwoga, N.B. (2017). User acceptance of mobile payment: The eff ects of user‐centric security, system characteristics and gender. The Electronic Journal of Information Systems in Developing Countries, 81(1), 1–24. https://doi.org/10.1002/j.1681-4835.2017.tb00595.x
  • Marriott, H.R & Williams, M.D. (2018). Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study. Journal of Retailing and Consumer Services, 42, 133–146.
  • O’Dea, S. (2020, December 7). Number of smartphone users in South Africa from 2014 to 2023. Statista. Retreived on March 17, 2020 from https://www.statista.com/statistics/488376/forecast-of-smartphone-users-in-south-africa/
  • 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, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
  • Omair, A. (2015). Selecting the appropriate study design for your research: descriptive study designs. Journal of Health Specialties, 3(3), 153–156. https://doi.org/10.4103/1658-600x.159892
  • Pallant, J. (2016). SPSS survival manual: A step by step guide to data analysis using SPSS (6th ed.). McGraw-Hill.
  • Pheng, L.S., Zainudin, M.Q.H.B., Bajir, A.B., & Awang, S.N.A.B. (2019). The infl uence of perceived risks on intention to purchase clothing online. Selangor Business Review, 4(2), 1–7.
  • Pidugu, K. (2016). Mobile payment adoption in South Africa: A merchant’s perspective (Master’s dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/52295
  • Pinchot, J.L., Mishra, S., Paullet, K.L., & Kohun, F.G. (2016). Exploring barriers to adoption of mobile payments for university students: Lack of awareness, lack of availability, and perceived security risks. Issues in Information Systems, 17(3), 20–30. https://doi.org/10.48009/3_iis_2016_20-30
  • Pymnts. (2017, June 30). In South Africa, cash is consumers’ hands-down choice. Retrieved on November 2, 2020 from https://www.pymnts.com/cash/2017/south-african-consumers-pick-cash/
  • Qasim, H., & Abu-Shanab, E. (2016). Drivers of mobile payment acceptance: The impact of network externalities. Information Systems Frontiers, 18(5), 1021–1034. https://doi.org/10.1007/s10796-015-9598-6
  • Quinlan, C., Babin, B., Carr, J., Griffi n, M., & Zikmund, W.G. (2015). Business research methods. Cengage Learning.
  • Roy, S.K., Balaji, M., Kesharwani, A., & Sekhon, H. (2017). Predicting internet banking adoption in India: A perceived risk perspective. Journal of Strategic Marketing, 25(5–6), 418–438. https://doi.org/10.1080/0965254x.2016.1148771
  • Siers, K.P. (2017). Improvement of acceptance of mobile commerce (Bachelor’s essay). University of Twente. Retrieved from http://purl.utwente.nl/essays/72687
  • Silver, L., & Johnson, C. (2018, October 9). Majorities in sub-Saharan Africa own mobile phones, but smartphone adoption is modest. Pew Research Centre. Retrieved from https://www.pewresearch.org/global/2018/10/09/majorities-in-sub-saharan-africa-own-mobile-phones-but-smartphone-adoption-is-modest/
  • Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2015). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 23(3), 209–223. https://doi.org/10.1080/0965254x.2014.914075
  • Solem, R.C. (2015). Limitation of a cross-sectional study. American Journal of Orthodontics and Dentofacial Orthopedics, 148(2), 205–205. https://doi.org/10.1016/j.ajodo.2015.05.006
  • Statistics South Africa. (2020). Governance, public safety, and justice survey GPSJS 2019/20. Retrieved from http://www.statssa.gov.za/publications/P0340/P03402020.pdf
  • Straub, E.T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625–649. https://doi.org/10.3102/0034654308325896
  • Tabachnick, B.G., & Fiddell, L.S. (2013). Using multivariate statistics (6th ed.). Pearson.
  • Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392. https://doi.org/10.1108/intr-12-2012-0244
  • Tian-Que, L. (2012). Perceived risk in marketing strategy. In M. Zhu (Ed.), Business, economics, financial sciences, and management. Springer.
  • Toplin, J. (2021). What’s pushing growth in proximity mobile payment usage?. Retrieved on June 4, 2021 from https://www.businessinsider.com/proximity-mobile-payment-usage-continues-to-grow-2021-6?IR=T
  • World Population Review. (2020). Crime rate by country 2020. Retrieved on March 14, 2020 from https://worldpopulationreview.com/countries/crime-rate-by-country/
  • Wu, K., Vassileva, J., & Zhao, Y. (2017). Understanding users’ intention to switch personal cloud storage services: Evidence from the Chinese market. Computers in Human Behavior, 68, 300–314. https://doi.org/10.1016/j.chb.2016.11.039
  • Yang, K., & Lee, H. (2010). Gender diff erences in using mobile data services: Utilitarian and hedonic value approaches. Journal of Research in Interactive Marketing, 4(2), 142–156. https://doi.org/10.1108/17505931011051678
  • Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253–269. https://doi.org/10.1108/imds-08-2014-0243
  • Zhang, Y., Sun, J., Yang, Z., & Wang, Y. (2018). What makes people actually embrace or shun mobile payment: A cross-culture study. Hindawi Mobile Information Systems, 7497545. https://doi.org/10.1155/2018/7497545
  • Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091. https://doi.org/10.1016/j.dss.2012.10.034

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
2054348

YADDA identifier

bwmeta1.element.ojs-doi-10_7172_2449-6634_jmcbem_2021_2_1
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.