The Influence of Performance Expectancy and Effort Expectancy on the Use of a Purchasing Application in Brazil

Cássio Miroma Reis Gomes, Josivania Silva Farias


Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this work investigated the influence of performance expectancy (PE), effort expectancy (EE), and socio-demographic user profile on the use of a mobile software application for retail purchases in the Brazilian context. We are living in a "mobile" world, so it might be expected that user experience with such technologies would be positive. With 171 valid questionnaires, linear regression, factor analysis, means and standard deviations, and nonparametric statistical techniques were used in the data analysis. Findings revealed that frequent users of the software application have considerable levels of performance expectancy (PE) and effort expectancy (EE). Gender was found to influence attitudes with respect to EE but not those with respect to PE. Experience reported with the application had no significant correlation with cell phone use for either PE or EE, although it was significantly correlated with the frequency of use of mobile technologies in general. Inferential tests with linear regression showed that age and PE had a positive influence on the use of the application but that EE had a negative influences on use. This study supports the importance of UTAUT for research on technology adoption in geographical contexts different from those usually studied by the proponents of this theory.


UTAUT; Performance expectancy; Effort expectancy; User attitude; IT Adoption


ABEP – Associação Brasileira das Empresas de Pesquisa. Critério de Classificação Econômica Brasil. Disponível em: Acesso em 15 de março de 2016.

Alba, J. W., & Hutchinson, J. W.(1987). Dimensions of Consumer Expertise. Journal of Consumer Research, Chicago, 13(4), 1-56.

Abrahão, R. S. (2015). A Intenção de Adoção do Mobile Payment: Uma Análise à Luz das Teorias de Aceitação e Uso de Tecnologia. 2015. 108 f. Dissertação (Mestrado em Administração) – Programa de Pós-Graduação em Administração, Universidade Federal de Uberlândia, Uberlândia.

Carlsson, C., Carlsson, J., Hyvonen, K., Puhakainen, J., & Walden, P. (2006, January). Adoption of mobile devices/services-searching for answers with the UTAUT. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06), 6, 132a-132a). IEEE.

Corso, K. B., Cavedon, N. R., & Freitas, H. (2015). Mobilidade espacial, temporal e contextual: um estudo de inspiração etnográfica sobre o trabalho móvel em shopping center. Revista de Administração da UFSM, 8(1), 141-156.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340.

F/NAZCA. F/Radar (2015). Pesquisa Cidadania e Consumo. 15ª edição. Disponível em: Acessado em: 20 de novembro de 2016.

Farias, F., & Vieira, L. (2014). Technology Adoption: A Review of the Information Systems’ Approaches, Theories and Models. In: XXIV International Conference of RESER, Helsinki, Finland, September 11-13.

Gatignon, H., & Robertson, T. S. (1989). Technology diffusion: an empirical test of competitive effects. The Journal of Marketing, 53(1), 35-49.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis (7th Eds.). NY: Pearson.

IBGE - Instituto Brasileiro de Geografia e estatística. (2015). Cidades, 2015. Disponível na internet via WWW URL: Arquivo consultado em 5 de outubro de 2015.

Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & management, 48(1), 1-8

International Telecommunication Union (ITU/UN). 2015. Measuring the Information Society Report. Acessado em 27/08/2016. Disponível em:

Kahney, L. (2009). A cabeça de Steve Jobs: as lições do líder da empresa mais revolucionária do mundo. São Paulo. Ed. Agir.

Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management science, 51(5), 741-755.

Kotler, P., & Keller, K. L. (2012). Administração de marketing. 14 ed. São Paulo, Pearson.Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. Mis Quarterly, 31(4), 705- 737.

Min, Q., Ji, S., & Qu, G. (2008). Mobile commerce user acceptance study in China: a revised UTAUT model. Tsinghua Science & Technology, 13(3), 257-264.

Marôco, J. (2011). Análise Estatística com o SPSS Statistics – 5. Ed.. Report Number, Pêro Pinheiro, Portugal.

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222.

Neufeld, D. J., Dong, L., & Higgins, C. (2007). Charismatic leadership and user acceptance of information technology. European Journal of Information Systems, 16(4), 494-510.

Ouellette, J. A., & Wood, W. (1998). Habit and intention in everyday life: the multiple processes by which past behavior predicts future behavior. Psychological bulletin, 124(1), 54.

Pellanda, E. C. (2009). Comunicação móvel: das potencialidades aos usos e aplicações. Em Questão, 15(1).

Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet research, 14(3), 224-235.

Portal G1, WhatsApp é o 4º maior aplicativo da internet móvel do Brasil. Disponível em: http:// Acesso em 15 de setembro de 2015.

Rogers, E; Shoemaker, F. F. Communication of Innovations: A Cross-Cultural Approach, Free Pass, New York, 1971.

Rogers, E. (1995). Diffusion of Innovations, 4th ed. Free Press, New York.

San Martín, S., López-Catalán, B., & Ramón-Jerónimo, M. (2012). Factors determining firms' perceived performance of mobile commerce. Industrial Management & Data Systems, 112(6), 946-963. doi: 10.1108/02635571211238536

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision sciences, 27(3), 451-481.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478.

Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS quarterly, 24(1), 115-139.

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178.

Wang, H. I., & Yang, H. L. (2005). The role of personality traits in UTAUT model under online stocking. Contemporary Management Research, 1(1), 69-82.

Williams, M. D., Rana, N. P., Dwivedi, Y. K., & Lal, B. (2011, June). Is UTAUT really used or just cited for the sake of it? a systematic review of citations of UTAUT's originating article. In ECIS. Proceedings Paper 231. Disponível em: Acessado em: 10 de Novembro de 2015.

Wong, C. H., Tan, G. W. H., Tan, B. I., & Ooi, K. B. (2015). Mobile advertising: the changing landscape of the advertising industry. Telematics and Informatics, 32(4), 720-734



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