O efeito do modelo TAM e do risco financeiro percebido sobre a utilização do e-commerce
DOI:
https://doi.org/10.20397/2177-6652/2022.v22i3.2311Palabras clave:
e-commerce, intenção de compra online, Technology Acceptance Model (TAM), Risco Financeiro PercebidoResumen
Objetivo do estudo: Este estudo utiliza o Technology Acceptance Model (TAM) e o risco financeiro percebido com o objetivo de analisar o impacto na atitude em relação ao uso do e-commerce, e deste na intenção de compras online.
Metodologia/abordagem: Foi realizada uma survey com 864 respostas e os dados coletados foram analisados por meio da modelagem de equações estruturais (CB-SEM).
Principais resultados: Os resultados indicam, em reforço à literatura, que a utilidade percebida no e-commerce pode afetar positiva e significantemente a atitude em relação ao uso do e-commerce, e esta também impacta positivamente a intenção de compra online. Em contrapartida, foi verificado que o risco financeiro percebido pode afetar negativamente a atitude e a intenção de compra online. Diferente do esperado, a facilidade de uso percebida não teve impacto significativo na atitude em relação ao uso do e-commerce.
Contribuições teórica/metodológicas: Este estudo amplia a validação nomológica da TAM ao mostrar sua aplicabilidade no e-commerce, no processo de compra online.
Palavras-chave: e-commerce; intenção de compra online; Technology Acceptance Model (TAM), Risco Financeiro Percebido.
Citas
Abu-Shamaa, R., Abu-Shanab, E. & Khasawneh, R. (2016). Payment methods and purchase intention from online stores: An empirical study in Jordan. International Journal of E-Business Research (IJEBR), 12(2), pp.31-44. https://doi.org/10.4018/ijebr.2016040103.
Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, N.J., Prentice-Hall.
Al-Adwan, A. S. (2019). Revealing the influential factors driving social commerce adoption. Interdisciplinary Journal of Information, Knowledge, and Management, 14, pp.295-324. https://doi.org/10.28945/4438.
Al-Rafee, S. & Cronan, T.P. (2006). Digital piracy: Factors that influence attitude toward behavior. Journal of Business Ethics, 63(3), pp.237-259. https://doi.org/10.1007/s10551-005-1902-9.
Al-Saedi, K., Al-Emran, M., Ramayah, T. & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62, p.101293. https://doi.org/10.1016/j.techsoc.2020.101293.
Ariguzo, G.C., Mallach, E.G. & White, D.S. (2006). The first decade of e-commerce. International Journal of Business Information Systems, 1(3), pp.239-255. https://doi.org/10.1504/IJBIS.2006.008598.
Arora, N. & Rahul, M. (2018). The role of perceived risk in influencing online shopping attitude among women in India. International Journal of Public Sector Performance Management, 4(1), pp.98-113. https://doi.org/10.1504/IJPSPM.2018.088697.
Athapaththu, J.C. & Kulathunga, K.M.S.D. (2018). Factors affecting online purchase intention: A study of Sri Lankan online customers. Repository Digital Scholar Bank. http://dr.lib.sjp.ac.lk/handle/123456789/8542.
Attar, R.W., Shanmugam, M. & Hajli, N. (2020). Investigating the antecedents of e-commerce satisfaction in social commerce context. British Food Journal. https://doi.org/10.1108/BFJ-08-2020-0755.
Bagozzi, R.P. & Phillips, L.W. (1982). Representing and testing organizational theories: A holistic construal. Administrative science quarterly, pp.459-489. https://doi.org/10.2307/2392322.
Barrichello, A., Scabim Morano, R., D'Acosta Rivéra, J. R. & Jacomossi, R. R. (2016). Intenção de recompra on-line e seus determinantes: uma perspectiva brasileira. Revista Gestão & Tecnologia, 16(2). http://dx.doi.org/10.20397/2177-6652/2016.v16i2.892.
Beck, L. & Ajzen, I. (1991). Predicting dishonest actions using the theory of planned behavior. Journal of research in personality, 25(3), pp.285-301. https://doi.org/10.1016/0092-6566(91)90021-H.
Caro, A., Mazzon, J.A., Caemmerer, B. & Wessling, M. (2011). Inovatividade, envolvimento, atitude e experiência na adoção da compra on-line. Revista de Administração de Empresas, 51, pp.568-584. https://doi.org/10.1590/S0034-75902011000600006.
Charag, A.H., Fazili, A.I. & Bashir, I. (2019). Determinants of consumer’s readiness to adopt Islamic banking in Kashmir. Journal of Islamic Marketing. http://dx.doi.org/10.1108/JIMA-10-2018-0182.
Childers, T.L., Carr, C.L., Peck, J. & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of retailing, 77(4), pp.511-535. https://doi.org/10.1016/S0022-4359(01)00056-2.
Chiu, Y.B., Lin, C.P. & Tang, L.L. (2005). Gender differs: assessing a model of online purchase intentions in e‐tail service. International journal of service industry management. https://doi.org/10.1108/09564230510625741.
Compre & Confie (2021), “O ano do E-commerce”. Neotrust. 6. ed. Available at: https://cdn.compreconfie.com.br/neotrust/Relat%C3%B3rio_6%C2%BA_Ed.pdf.
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). https://dspace.mit.edu/bitstream/handle/1721.1/15192/14927137-MIT.pdf.
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, pp.319-340. https://doi.org/10.2307/249008.
Dina, S.A., Hati, S.R.H. & Daryanti, S. (2018). Antecedents of Muslim Attitudes and Online Purchase Intentions: The Effects of Website Design. Journal of Social Sciences & Humanities, 26, pp.69-84. http://repository.ipmi.ac.id/565/1/159130063.pdf#page=83.
Douglas, S.P. & Craig, C.S. (2007). Collaborative and iterative translation: An alternative approach to back translation. Journal of International Marketing, 15(1), pp.30-43. https://doi.org/10.1509%2Fjimk.15.1.030.
Duffy, G. & Dale, B.G. (2002). E‐commerce processes: a study of criticality. Industrial Management & Data Systems. https://mpra.ub.uni-muenchen.de/id/eprint/91034.
Eger, L., Komárková, L., Egerová, D. & Mičík, M. (2021). The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective. Journal of Retailing and Consumer Services, 61, p.102542. https://doi.org/10.1016/j.jretconser.2021.102542.
Featherman, M.S. & Pavlou, P.A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of human-computer studies, 59(4), pp.451-474. https://doi.org/10.1016/S1071-5819(03)00111-3.
Fishbein, M. (1967). Readings in attitude theory and measurement. New York: John Wiley & Sons.
Fornell, C. & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), pp.39-50. https://doi.org/10.1177%2F002224378101800104.
Fu, S., Yan, Q. & Feng, G.C. (2018). Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context. International Journal of Information Management, 40, pp.88-102. https://doi.org/10.1016/j.ijinfomgt.2018.01.013.
Gefen, D. (2003). TAM or just plain habit: A look at experienced online shoppers. Journal of Organizational and End User Computing (JOEUC), 15(3), pp.1-13. https://doi.org/10.4018/joeuc.2003070101.
Gefen, D., Karahanna, E. & Straub, D.W. (2003). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on engineering management, 50(3), pp.307-321. https://doi.org/10.1109/TEM.2003.817277.
Gibbs, J., Kraemer, K. L. & Dedrick, J. (2003). Environment and policy factors shaping global e-commerce diffusion: A cross-country comparison. The information society, 19(1), pp.5-18. https://doi.org/10.1080/01972240309472.
Gong, W., Stump, R.L. & Maddox, L.M. (2013). Factors influencing consumers' online shopping in China. Journal of Asia Business Studies. https://doi.org/10.1108/JABS-02-2013-0006.
Gupta, A.K. & Shukla, A.V. (2019). Online Retail Format Choice Behavior of Indian Customers for Reasoned Purchase: A Cultural Perspective. Journal of International Consumer Marketing, 31(5), pp.469-491. https://doi.org/10.1080/08961530.2019.1611518.
Guthrie, C., Fosso-Wamba, S. & Arnaud, J.B. (2021). Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown. Journal of Retailing and Consumer Services, 61, p.102570. https://doi.org/10.1016/j.jretconser.2021.102570.
Ha, N. (2020). The impact of perceived risk on consumers’ online shopping intention: An integration of TAM and TPB. Management Science Letters, 10(9), pp.2029-2036. http://dx.doi.org/10.5267/j.msl.2020.2.009.
Hair Jr., J.F., Black, W.C., Babin, B.J., Anderson, R.E. & Tatham, R.L. (2009). Análise multivariada de dados. Bookman editora.
Hair Jr., J.F., Hult, G.T.M., Ringle, C.M. & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
Han, H. & Hu, K. (2009), September. Factors affecting consumer's online purchase intention in china. In 2009 International Conference on Management and Service Science (pp. 1-4). IEEE. https://doi.org/10.1109/ICMSS.2009.5301676.
Hashem, T. N. (2020). Examining the Influence of COVID 19 Pandemic in Changing Customers' Orientation towards E-Shopping. Modern Applied Science, 14(8), pp.59-76. https://doi.org/10.5539/mas.v14n8p59.
He, F. & Mykytyn, P.P. (2007). Decision factors for the adoption of an online payment system by customers. International Journal of E-Business Research (IJEBR), 3(4), pp.1-32. https://doi.org/10.4018/jebr.2007100101.
Hernández, B., Jiménez, J. & Martín, M.J. (2010). Customer behavior in electronic commerce: The moderating effect of e-purchasing experience. Journal of business research, 63(9-10), pp.964-971. https://doi.org/10.1016/j.jbusres.2009.01.019.
Išoraitė, M. & Miniotienė, N. (2018). Electronic commerce: Theory and practice. Integrated Journal of Business and Economics, 2(2), pp. 194-200. https://mpra.ub.uni-muenchen.de/id/eprint/91034.
Jain, S. (2021). Examining the moderating role of perceived risk and web atmospherics in online luxury purchase intention. Journal of Fashion Marketing and Management: An International Journal. https://doi.org/10.1108/JFMM-05-2020-0089.
Kalakota, R. & Whinston, A.B. (1997). Electronic commerce: a manager's guide. Addison-Wesley Professional.
Khan, A.G. (2016). Electronic commerce: A study on benefits and challenges in an emerging economy. Global Journal of Management and Business Research. https://www.journalofbusiness.org/index.php/GJMBR/article/view/1918.
Kim, H. & Song, J. (2010). The quality of word‐of‐mouth in the online shopping mall. Journal of Research in Interactive Marketing. https://doi.org/10.1108/17505931011092844.
Kim, J. & Forsythe, S. (2009). Adoption of sensory enabling technology for online apparel shopping. European journal of marketing. https://doi.org/10.1108/03090560910976384.
Klepek, M. & Bauerová, R. (2020). Why do retail customers hesitate for shopping grocery online?. Technological and Economic Development of Economy, 26(6), pp.1444-1462. https://doi.org/10.3846/tede.2020.13970.
Kouser, R., Niazi, G.S.K. & Bakari, H. (2018). How does website quality and trust towards website influence online purchase intention?. Pakistan Journal of Commerce and Social Sciences (PJCSS), 12(3), pp.909-934. http://hdl.handle.net/10419/193453.
Kovacs, M.H. & de Farias, S.A. (2005). Quanto mais difícil, melhor? Proposição de um esquema teórico do esforço do consumidor, riscos percebidos e satisfação com o processo de compra pela internet. INMR-Innovation & Management Review, 2(2), pp.33-48. https://www.revistas.usp.br/rai/article/view/79046.
Liebermann, Y. & Stashevsky, S. (2002). Perceived risks as barriers to Internet and e‐commerce usage. Qualitative Market Research: An International Journal. https://doi.org/10.1108/13522750210443245.
Lim, W.M. & Ting, D.H. (2012). E-shopping: An Analysis of the Technology Acceptance Model. Modern Applied Science, 6(4), p.49. http://dx.doi.org/10.5539/mas.v6n4p49.
Liu, C. & Arnett, K. (1999). Assessing the customer behavioral intentions on the Web: A research model. https://aisel.aisnet.org/amcis1999/108.
Lombard, M., Snyder-Duch, J. & Bracken, C.C. (2010). Practical resources for assessing and reporting intercoder reliability in content analysis research projects. https://www.researchgate.net/publication/242785900_Practical_Resources_for_Assessing_and_Reporting_Intercoder_Reliability_in_Content_Analysis_Research_Projects.
Lu, H.P. & Su, P.Y.J. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research. https://doi.org/10.1108/10662240910981399.
Maia, C.R., Lunardi, G.L., Dolci, D. & D’Avila, L.C. (2020). Competitive price and trust as determinants of purchase intention in social commerce. BAR-Brazilian Administration Review, 16. https://doi.org/10.1590/1807-7692bar2019190074.
Malhotra, N. K. (2010). Marketing research: An applied approach. 6. ed. New Jersey: Pearson Education Limited.
Mou, J., Cui, Y. & Kurcz, K. (2020). Trust, risk and alternative website quality in B-buyer acceptance of cross-border E-commerce. Journal of Global Information Management (JGIM), 28(1), pp.167-188. https://doi.org/10.4018/JGIM.2020010109.
Nguyen, D. (2015). Understanding perceived enjoyment and continuance intention in mobile games. Dissertation (Masters in Information Systems Science) – Department of Information and Service Economy, Aalto University - School of Business, 2015. https://aaltodoc.aalto.fi/handle/123456789/18326.
Oliveira, T.D. (2001). Amostragem não probabilística: adequação de situações para uso e limitações de amostras por conveniência, julgamento e quotas. Administração on line, 2(3), pp.01-10. https://pesquisaeaesp.fgv.br/sites/gvpesquisa.fgv.br/files/arquivos/veludo_-_amostragem_nao_probabilistica_adequacao_de_situacoes_para_uso_e_limitacoes_de_amostras_por_conveniencia.pdf.
Pelău, C. & Bena, I. (2010). The Risk Perception For Consumer Segments In E-CommerceAnd Its Implication For The Marketing Strategy. Amfiteatru Economic Journal, 12(28), pp.373-387. http://hdl.handle.net/10419/168696.
Pires, P.J. & Costa Filho, B. A. D. (2008). Fatores do índice de prontidão à tecnologia (TRI) como elementos diferenciadores entre usuários e não usuários de internet banking e como antecedentes do modelo de aceitação de tecnologia (TAM). Revista de Administração Contemporânea, 12, pp.429-456. https://doi.org/10.1590/S1415-65552008000200007.
Podsakoff, P. M. Mackenzie, S. B.; LEE, J. & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), p. 879, 2003. https://doi.org/10.1037/0021-9010.88.5.879.
Podsakoff, P.M. & Organ, D.W. (1986). Self-reports in organizational research: Problems and prospects. Journal of management, 12(4), pp.531-544. https://doi.org/10.1177%2F014920638601200408.
Ramayah, T., Rahman, S.A. & Ling, N.C. (2018). How do Consumption Values Influence Online Purchase Intention among School Leavers in Malaysia?. Revista Brasileira de Gestão de Negócios, 20, pp.638-654. https://doi.org/10.7819/rbgn.v0i0.3139.
Ramus, K. & Nielsen, N.A., 2005. Online grocery retailing: what do consumers think?. Internet research. https://doi.org/10.1108/10662240510602726.
Santini, F.D.O., Sampaio, C.H., Perin, M.G., Espartel, L.B. & Ladeira, W.J. (2015). Moderating effects of sales promotion types. BAR-Brazilian Administration Review, 12, pp.169-189. https://doi.org/10.1590/1807-7692bar2015140057.
Santos, E. A., de Moura, I. V., de Matos, R. M. & de Almeida, L. B. (2019). Ferramentas informais em contextos formais: aplicação de um modelo para avaliar a aceitação de tecnologias móveis entre Professores Universitários. Revista Gestão & Tecnologia, 19(4), 117-137. http://dx.doi.org/10.20397/2177-6652/2019.v19i4.1495.
Saprikis, V., Markos, A., Zarmpou, T. & Vlachopoulou, M. (2018). Mobile shopping consumers’ behavior: An exploratory study and review. Journal of theoretical and applied electronic commerce research, 13(1), pp.71-90. https://doi.org/10.4067/S0718-18762018000100105.
Sfenrianto, S., Wijaya, T. & Wang, G. (2018). Assessing the buyer trust and satisfaction factors in the E-marketplace. Journal of theoretical and applied electronic commerce research, 13(2), pp.43-57. https://doi.org/10.4067/S071818762018000200105.
Shahriari, S. & Mohammadreza, S. (2015). E-COMMERCE AND IT IMPACTSON GLOBAL TREND AND MARKET. International journal of research-Granthaalayah, 3(4), pp.49-55. https://doi.org/10.29121/granthaalayah.v3.i4.2015.3022.
Shekhar, R. & Jaidev, U. P. (2020). Antecedents of online purchase intention in the context of social commerce. International Journal of Applied Management Science, 12(1), pp.68-95. https://doi.org/10.1504/IJAMS.2020.105296.
Shyu, S. H. P. & Huang, J. H. (2011). Elucidating usage of e-government learning: A perspective of the extended technology acceptance model. Government Information Quarterly, 28(4), pp.491-502. https://doi.org/10.1016/j.giq.2011.04.002.
Strader, T. J. & Shaw, M. J. (1997). Characteristics of electronic markets. Decision Support Systems, 21(3), pp.185-198. https://doi.org/10.1016/S0167-9236(97)00028-6.
Suki, N. M. and Ramayah, T. (2010). User acceptance of the e-government services in Malaysia: structural equation modelling approach. Interdisciplinary Journal of Information, Knowledge, and Management, 5(1), pp.395-413. http://dx.doi.org/10.28945/1308.
Tauber, E. M., 1972. Marketing notes and communications: Why do people shop?. Journal of marketing, 36(4), pp.46-49. https://doi.org/10.1177%2F002224297203600409.
Tong, X., 2010. A cross‐national investigation of an extended technology acceptance model in the online shopping context. International Journal of Retail & Distribution Management. https://doi.org/10.1108/09590551011076524.
Vargas, K. S., Figueira, K. K. & Marchi, J. (2019). A INFLUÊNCIA DAS DIMENSÕES DE CONFIANÇA E RISCO NO COMPORTAMENTO DE COMPRA ONLINE. Revista de Administração Unimep, 17(3), pp.1-23. http://www.raunimep.com.br/ojs/index.php/rau/article/view/964.
Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, pp.425-478. https://doi.org/10.2307/30036540.
World Health Organization (2020). BREAKING "We have therefore made the assessment that #COVID19 can be characterized as a pandemic"- @DrTedros #coronavirus. Twitter: @WHO. Available at: https://twitter.com/WHO/status/1237777021742338049?s=20.
Zhou, L., Wang, W., Xu, J. D., Liu, T. & Gu, J. (2018). Perceived information transparency in B2C e-commerce: An empirical investigation. Information & Management, 55(7), pp.912-927. https://doi.org/10.1016/j.im.2018.04.005.
Zhu, D. S., Chih, Z., O'Neal, G. S. & Chen, Y.H. (2011). Mr. Risk! Please trust me: Trust antecedents that increase online consumer purchase intention. Journal of Internet Banking and Commerce, 16(3), p.1. https://www.icommercecentral.com/open-access/mr-risk-please-trust-me-trust-antecedents-that-increase-online-consumer-purchase-intention.pdf.
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