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Profiling the Users of Mobile Payments in Belgium: A Study Exploring Socio-demographics, Social Media Usage, and General Impulsive Buying Tendency

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Advances in Digital Marketing and eCommerce (DMEC 2022)

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Abstract

A great deal of research has been carried out on adoption of mobile payments, focusing on user intentions. However, little is known about the actual users and what circumstances trigger mobile payment. Mobile payment is of particular interest to retailers, as it can facilitate and thus encourage finalization of the sales transaction. In this Belgian study (N = 1792, average age = 44.3, SD = 13.3, 49% female), we take a closer look at the profile of mobile payers in terms of their socio-demographics, frequency of patronizing convenience retail channels, and social media usage, and their underlying general impulsive buying tendency before and during the COVID-19 crisis. We observed a clear uplift in users between 2019 and 2020. We further find a higher occurrence of mobile payers among younger ages and those with a higher socio-economic profile. The link between internet/online shoppers and mobile payment adoption seems to be firmly established. Our data also indicate a higher incidence of mobile payment among petrol station shoppers but not for vending or newsagent shoppers, indicating that certain convenience stores seem more suitable contexts for using mobile payments than others. Furthermore, a clear positive association was observed between general impulse buying tendency and mobile payment incidence. Finally, higher mobile payment incidences can be found amongst Facebook and Instagram users, but not amongst Twitter and YouTube users. Understanding these differences can help retailers set their digital and commercial agendas and researchers in the field of mobile payment adoption to select appropriate moderators for their models.

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References

  • Abdullah, Naved Khan, M.: Determining mobile payment adoption: a systematic literature search and bibliometric analysis. Cogent Bus. Manage. 8(1), 1893245 (2021)

    Google Scholar 

  • Aragoncillo, L., Orus, C.: Impulse buying behaviour: an online-offline comparative and the impact of social media. Spanish J. Mark. ESIC 22(1), 42–62 (2018)

    Article  Google Scholar 

  • Dahlberg, T., Guo, J., Ondrus, J.: A critical review of mobile payment research. Electron. Commer. Res. Appl. 14(5), 265–284 (2015)

    Article  Google Scholar 

  • Dahlberg, T., Mallat, N., Ondrus, J., Zmijewska, A.: Past, present and future of mobile payments research: a literature review. Electron. Commer. Res. Appl. 7(2), 165–181 (2008)

    Article  Google Scholar 

  • Dewan, S., Riggins, F.J.: The digital divide: current and future research directions. J. Assoc. Inf. Syst. 6(12), 298–337 (2005)

    Google Scholar 

  • ESOMAR European Society for Opinion and Marketing Research: The ESOMAR Standard Demographic Classification: A System of International Socio-Economic Classification of Respondents to Survey Research. Advances in Cross-National Comparison: A European Working Book for Demographic and Socio-Economic Variables, pp. 97–121 (2003)

    Google Scholar 

  • Febelfin: Belgen zetten massaal de stap naar digitaal betalen. Febelfin, 15 May 2021. https://www.febelfin.be/nl/press-room/belgen-zetten-massaal-de-stap-naar-digitaal-betalen

  • Hagberg, J., Sundstrom, M., Egels-Zandén, N.: The digitalization of retailing: an exploratory framework. Int. J. Retail Distrib. Manage. 44(7), 694–712 (2016)

    Article  Google Scholar 

  • Haight, M., Quan-Haase, A., Corbett, B.A.: Revisiting the digital divide in Canada: the impact of demographic factors on access to the internet, level of online activity, and social networking site usage. Inf. Commun. Soc. 17(4), 503–519 (2014)

    Article  Google Scholar 

  • Hargittai, E.: Introduction to the Handbook of Digital Inequality. In: Handbook of Digital Inequality, pp.1–6. Edward Elgar Publishing (2021)

    Google Scholar 

  • Hellemans, J., Willems, K., Brengman, M.: Daily active users of social network sites: facebook, twitter, and instagram-use compared to general social network site use. In: Martínez-López, F.J., D’Alessandro, S. (eds.) Advances in Digital Marketing and eCommerce. SPBE, pp. 194–202. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-47595-6_24

    Chapter  Google Scholar 

  • Hellemans, J., Willems, K., Brengman, M.: The new adult on the block: daily active users of tiktok compared to facebook, twitter, and instagram during the COVID-19 crisis in Belgium. In: Martínez-López, F.J., López López, D. (eds.) DMEC 2021. SPBE, pp. 95–103. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-76520-0_10

    Chapter  Google Scholar 

  • Helm, S., Kim, S.H., Van Riper, S.: Navigating the ‘retail apocalypse’: a framework of consumer evaluations of the new retail landscape. J. Retail. Consum. Serv. 54, 101683 (2020)

    Article  Google Scholar 

  • Konuş, U., Verhoef, P.C., Neslin, S.A.: Multichannel shopper segments and their covariates. J. Retail. 84(4), 398–413 (2008)

    Article  Google Scholar 

  • Lemon, K.N., Verhoef, P.C.: Understanding customer experience throughout the customer journey. J. Mark. 80(6), 69–96 (2016)

    Article  Google Scholar 

  • Liu, Z., Ben, S., Zhang, R.: Factors affecting consumers’ mobile payment behavior: a meta-analysis. Electron. Commer. Res. 19(3), 575–601 (2019). https://doi.org/10.1007/s10660-019-09349-4

    Article  Google Scholar 

  • Midi, H., Sarkar, S.K., Rana, S.: Collinearity diagnostics of binary logistic regression model. J. Interdiscip. Math. 13(3), 253–267 (2010)

    Article  Google Scholar 

  • Peterson, R.A., Balasubramanian, S., Bronnenberg, B.J.: Exploring the implications of the Internet for consumer marketing. J. Acad. Mark. Sci. 25(4), 329–346 (1997)

    Article  Google Scholar 

  • Renu, N.: Technological advancement in the era of COVID-19. SAGE Open Med. 9, 20503121211000910 (2021). https://doi.org/10.1177/20503121211000912

    Article  Google Scholar 

  • Takeda, A., Ito, Y.: A review of FinTech research. Int. J. Technol. Manage. 86(1), 67–88 (2021)

    Article  Google Scholar 

  • Taylor, E.: Mobile payment technologies in retail: a review of potential benefits and risks. Int. J. Retail Distrib. Manag. 44(2), 159–177 (2016)

    Article  Google Scholar 

  • Verma, S., Gustafsson, A.: Investigating the emerging COVID-19 research trends in the field of business and management: a bibliometric analysis approach. J. Bus. Res. 118, 253–261 (2020)

    Article  Google Scholar 

  • Weun, S., Jones, M.A., Beatty, S.E.: Development and validation of the impulse buying tendency scale. Psychol. Rep. 82(3_suppl), 1123–1133 (1998)

    Google Scholar 

  • Willems, K., Verhulst, N., Brengman, M.: How COVID-19 could accelerate the adoption of new retail technologies and enhance the (e-)servicescape. In: Lee, J., Han, S.H. (eds.) The Future of Service Post-COVID-19 Pandemic. The ICT and Evolution of Work, vol. 2, pp. 103–134. Springer, Singapore (2021). https://doi.org/10.1007/978-981-33-4134-0_6

    Chapter  Google Scholar 

  • Yu, R.P., Ellison, N.B., McCammon, R.J., Langa, K.M.: Mapping the two levels of digital divide: Internet access and social network site adoption among older adults in the USA. Inf. Commun. Soc. 19(10), 1445–2146 (2016)

    Article  Google Scholar 

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Correspondence to Johan Hellemans .

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Hellemans, J., Willems, K., Brengman, M. (2022). Profiling the Users of Mobile Payments in Belgium: A Study Exploring Socio-demographics, Social Media Usage, and General Impulsive Buying Tendency. In: Martínez-López, F.J., Martinez, L.F. (eds) Advances in Digital Marketing and eCommerce. DMEC 2022. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-05728-1_21

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