Effects of age and income moderation on adoption of mobile payments in Brazil

Autores

  • Fernando Luis Abegão Neto Mestrado Profissional em Comportamento do Consumidor, Escola Superior de Propaganda e Marketing, ESPM.
  • Júlio Cesar Bastos de de Figueiredo Escola Superior de Propaganda e Marketing, ESPM

DOI:

https://doi.org/10.1108/INMR-06-2021-0109

Palavras-chave:

Mobile Payments, Consumer Behavior, Technology Adoption, UTAUT

Resumo

Purpose – This work aims to measure the effects of moderation by Age and Income in mobile payment systems' intended use as predictors of performance expectation, effort expectation, social influence, risk, and perceived costs.

Design/methodology/approach – The authors based this study on a survey that generated a sample of 1742 Brazilian users that responded to the measurement scale. The authors used the partial least squares structural equation model, to analyze the research data.

Findings – All proposed latent variables were significant. Income positively moderates the performance expectation and negatively moderates the perceived cost and perceived risk. In addition, age positively moderates performance expectation and negatively moderates cost perception.

Originality/value – Findings evolved from the previous literature by understanding the moderating effects that allow companies to operate in mobile payments to generate segmented communication and engagement plans for users of different incomes and age groups.

Downloads

Os dados de download ainda não estão disponíveis.

Referências

Abrahão, R. de S., Moriguchi, S.N. and Andrade, D.F. (2016), “Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT)”, INMR - Innovation & Management Review, Vol. 13 No. 3, pp. 221–230.

Al-Qeisi, K.I. (2009), Analyzing the Use of UTAUT Model in Explaining an Online Behaviour: Internet Banking Adoption, Brunel Business School Ph.D. Theses, Brunel University.

Baptista, G. and Oliveira, T. (2015), “Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators”, Computers in Human Behavior, Vol. 50, pp. 418–430.

Barbosa, R.C.O. and Zilber, M.A. (2013), “As características competitivas que impactam a adoção de inovação: um estudo sobre sistemas de pagamentos móveis”, INMR - Innovation & Management Review, Vol. 10 No. 3, pp.89-114.

Bobsin, D., Visentini, M.S. and Rech, I. (2009), “Em busca do estado da arte do UTAUT: ampliando as considerações sobre o uso da tecnologia”, INMR-Innovation & Management Review, Vol. 6 No. 2, pp.99-118.

Caldeira, T. A., Ferreira, J. B., Freitas, A., & Falcão, R. P. D. Q. (2021). Adoption of Mobile Payments in Brazil: Technology Readiness, Trust and Perceived Quality. BBR. Brazilian Business Review, 18, pp. 415-432.

Chawla, D. and Joshi, H. (2018), “The Moderating Effect of Demographic Variables on Mobile Banking Adoption: An Empirical Investigation”, Global Business Review, Vol. 19 No. 3_suppl, pp. S90–S113.

Chen, L. Da. (2008), “A model of consumer acceptance of mobile payment”, International Journal of Mobile Communications, Vol. 6 No. 1, pp. 32–52.

Dahlberg, T., Mallat, N., Ondrus, J. and Zmijewska, A. (2008), “Past, present and future of mobile payments research: A literature review”, Electronic Commerce Research and Applications, Vol. 7 No. 2, pp. 165–181.

Dahlberg, T., Guo, J. and Ondrus, J. (2015), “A critical review of mobile payment research”, Electronic Commerce Research and Applications, Vol. 14 No. 5, pp. 265–284.

Davis, F.D. (1986), “A technology acceptance model for empirically testing new end-user information systems: Theory and results” (Doctoral dissertation, Massachusetts Institute of Technology).

Davis, F.D., Bagozzi, RP and Warshaw, P.R. (1989), “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models”, Management Science, Vol. 35 No. 8, pp. 982–1003.

De Luna, I.R., Montoro-Ríos, F., Liébana-Cabanillas, F. and de Luna, J.G. (2017), “NFC technology acceptance for mobile payments: A Brazilian Perspective”, Revista brasileira de gestão de negócios, Vol. 19 No. 63, pp. 82-103.

Eze, UC and Poong, Y.S. (2013), “The moderating roles of income and age in mobile commerce application”, Journal of Electronic Commerce in Organizations, Vol. 11 No. 3, pp. 46–67.

Gouveia, J.M. and Coelho, A.F.M. (2007), “Determinantes Da Adopção De Novas Tecnologias De Informação E Comunicação - O Caso Da Internet Móvel Em Portugal”, Conocimiento, innovación y emprendedores: camino al futuro, No. 1991, pp. 2187–2202.

Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011), “PLS-SEM: Indeed a silver bullet”, Journal of Marketing Theory and Practice, Vol. 19 No. 2, pp.139-152.

Hair, J.F., Ringle, C.M. and Sarstedt, M. (2013), “Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance”, Long Range Planning, Vol. 46 No. 1–2, pp. 1–12.

Hernández, B., Jiménez, J. and Martín, MJ (2011), “Age, gender and income: Do they really moderate online shopping behavior?”, Online Information Review, Vol. 35 No. 1, pp. 113–133.

Lee, H.J., Cho, H.J., Xu, W. and Fairhurst, A. (2010), “The influence of consumer traits and demographics on intention to use retail self-service checkouts”, Marketing Intelligence and Planning, Vol. 28 No. 1, pp. 46–58.

Liébana-Cabanillas, F., Sánchez-Fernández, J. and Muñoz-Leiva, F. (2014), “Antecedents of the adoption of the new mobile payment systems: The moderating effect of age”, Computers in Human Behavior, Vol. 35, pp. 464–478.

Liébana-Cabanillas, F., Muñoz-Leiva, F. and Sánchez-Fernández, J. (2015), “Influence of age in the adoption of new mobile payment systems”, Revista Brasileira de Gestão de Negócios, Vol. 17 No. 58, pp. 1390–1407.

Lopez, M.H., Gonzalez-Barrera, A. and Patten, E. (2013), “Closing the Digital Divide: Latinos and Technology Adoption”, Pew Hispanic Center, No. 202, pp. 1–8.

Malhotra, N.K., Lopes, E.L. and Veiga, R.T. (2014), “Modelagem de Equações Estruturais com Lisrel: Uma Visão Inicial”, Revista Brasileira de Marketing, Vol. 13 No. 2, pp. 28–43.

Meirelles, F.S. (2021), “Pesquisa Anual do Uso de TI nas Empresas”, FGV – Centro de Tecnologia de Informação Aplicada da EAESP, No. 32, p. 91.

Mobiletime, Opinionbox (2021), “Panorama de pagamentos móveis e comércio móvel no Brasil”, available at: https://www.mobiletime.com.br/pesquisas/comercio-movel-no-brasil-abril-de-2021/ (accessed 28 October 2021).

Morosan, C. and DeFranco, A. (2016), “It’s about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels”, International Journal of Hospitality Management, Vol. 53, pp. 17–29.

Oliveira, T., Thomas, M., Baptista, G. and Campos, F. (2016), “Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology”, Computers in Human Behavior, Vol. 61, pp. 404–414.

Pavarini, S.C.C., Silva, W.V. da, Rocha, D.T. da and Corso, J.M. Del. (2010), “Difusão de Inovações Tecnológicas em Meios de Pagamento: O Caso do Pagamento Móvel em Curitiba”, Gestão e Desenvolvimento, Vol. 7 No. 2, pp. 27–36.

Porter, C.E. and Donthu, N. (2006), “Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics”, Journal of Business Research, Vol. 59 No. 9, pp. 999–1007.

Ringle, C. M.; Wende, S.; Becker, J.-M. "SmartPLS 3." Boenningstedt: SmartPLS GmbH, 2015.

Shafinah, K., Sahari, N., Sulaiman, R., Yusoff, M.S.M. and Ikram, MM (2013), “Determinants of User Behavior Intention (BI) on Mobile Services: A Preliminary View”, Procedia Technology, Vol. 11, pp. 127–133.

Shin, D.H. (2009), “Towards an understanding of the consumer acceptance of mobile wallet”, Computers in Human Behavior, Vol. 25 No. 6, pp. 1343–1354.

Slade, E.L., Williams, M.D. and Dwivedi, Y.K. (2013), “Mobile payment adoption: Classification and review of the extant literature”, The Marketing Review, Westburn Publishers, Vol. 13 No. 2, pp. 167–190.

Silveira, A.B.D. (2012), Atitudes e intenções de adoção de internet móvel: uma análise do comportamento do consumidor jovem adulto (Master's thesis, Pontifícia Universidade Católica do Rio Grande do Sul).

Venkatesh, V. and Davis, F.D. (2000), “Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies”, Management Science, Vol. 46 No. 2, pp. 186–204.

Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003), “User acceptance of information technology: Toward a unified view”, MIS Quarterly: Management Information Systems, Vol. 27 No. 3, pp. 425–478.

Vieira, V.A. (2009), “Moderação, mediação, moderadora-mediadora e efeitos indiretos em modelagem de equações estruturais: uma aplicação no modelo de desconfirmação de expectativas”, Revista de Administração - RAUSP, Vol. 44 No. 1, pp. 17–33.

Yang, S., Lu, Y., Gupta, S., Cao, Y. and Zhang, R. (2012), “Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits”, Computers in Human Behavior, Vol. 28 No. 1, pp. 129–142.

Yu, C.S. (2012), “Factors affecting individuals to adopt mobile banking: Empirical evidence from the utaut model”, Journal of Electronic Commerce Research, Vol. 13 No. 2, pp. 104–121.

Publicado

2023-12-21

Edição

Seção

Artigos

Como Citar

Effects of age and income moderation on adoption of mobile payments in Brazil. (2023). INMR - Innovation & Management Review, 20(4), 353-364. https://doi.org/10.1108/INMR-06-2021-0109