Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey
Este estudio identifica los posibles factores que pueden motivar u obstaculizar la aceptación de servicios financieros en línea. Los resultados apuntalan que el tam2 es un modelo válido para predecir el propósito de los consumidores objeto de estudio para explicar la diferencia entre adoptantes y no...
- Autores:
-
Araiza Vázquez, María de Jesús
Pedraza Sánchez, Erika Yadira
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Universidad Externado de Colombia
- Repositorio:
- Biblioteca Digital Universidad Externado de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:bdigital.uexternado.edu.co:001/6404
- Acceso en línea:
- https://bdigital.uexternado.edu.co/handle/001/6404
https://doi.org/10.18601/16577175.n24.02
- Palabra clave:
- Technology acceptance model;
adoption;
online financial services;
data protection;
security
modelo de aceptación de tecnología;
aceptación;
servicios financieros en línea;
protección de datos;
seguridad
- Rights
- openAccess
- License
- María de Jesús Araiza Vázquez, Erika Yadira Pedraza Sánchez - 2019
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dc.title.spa.fl_str_mv |
Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey |
dc.title.translated.eng.fl_str_mv |
Acceptance of online financial services by consumers of the metropolitan area of Monterrey |
title |
Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey |
spellingShingle |
Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey Technology acceptance model; adoption; online financial services; data protection; security modelo de aceptación de tecnología; aceptación; servicios financieros en línea; protección de datos; seguridad |
title_short |
Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey |
title_full |
Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey |
title_fullStr |
Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey |
title_full_unstemmed |
Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey |
title_sort |
Aceptación de servicios financieros en línea por los consumidores del área metropolitana de Monterrey |
dc.creator.fl_str_mv |
Araiza Vázquez, María de Jesús Pedraza Sánchez, Erika Yadira |
dc.contributor.author.spa.fl_str_mv |
Araiza Vázquez, María de Jesús Pedraza Sánchez, Erika Yadira |
dc.subject.eng.fl_str_mv |
Technology acceptance model; adoption; online financial services; data protection; security |
topic |
Technology acceptance model; adoption; online financial services; data protection; security modelo de aceptación de tecnología; aceptación; servicios financieros en línea; protección de datos; seguridad |
dc.subject.spa.fl_str_mv |
modelo de aceptación de tecnología; aceptación; servicios financieros en línea; protección de datos; seguridad |
description |
Este estudio identifica los posibles factores que pueden motivar u obstaculizar la aceptación de servicios financieros en línea. Los resultados apuntalan que el tam2 es un modelo válido para predecir el propósito de los consumidores objeto de estudio para explicar la diferencia entre adoptantes y no adoptantes. Los indicadores como la protección de la privacidad percibida, la seguridad percibida y la capacidad de innovación del consumidor demuestran tener una relación positiva significativa con estos y predecir significativamente quién es más probable que los adopte. Los hallazgos pueden ayudar a las instituciones financieras a expresar las estrategias de comercialización adecuadas, diseñar sistemas en línea efectivos y acelerar la difusión y uso de estos. |
publishDate |
2019 |
dc.date.accessioned.none.fl_str_mv |
2019-05-30 00:00:00 2022-08-23T16:22:48Z |
dc.date.available.none.fl_str_mv |
2019-05-30 00:00:00 2022-08-23T16:22:48Z |
dc.date.issued.none.fl_str_mv |
2019-05-30 |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.local.eng.fl_str_mv |
Journal article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.doi.none.fl_str_mv |
10.18601/16577175.n24.02 |
dc.identifier.eissn.none.fl_str_mv |
2619-4899 |
dc.identifier.issn.none.fl_str_mv |
1657-7175 |
dc.identifier.uri.none.fl_str_mv |
https://bdigital.uexternado.edu.co/handle/001/6404 |
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https://doi.org/10.18601/16577175.n24.02 |
identifier_str_mv |
10.18601/16577175.n24.02 2619-4899 1657-7175 |
url |
https://bdigital.uexternado.edu.co/handle/001/6404 https://doi.org/10.18601/16577175.n24.02 |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.bitstream.none.fl_str_mv |
https://revistas.uexternado.edu.co/index.php/contad/article/download/5980/7703 https://revistas.uexternado.edu.co/index.php/contad/article/download/5980/7812 https://revistas.uexternado.edu.co/index.php/contad/article/download/5980/7823 |
dc.relation.citationedition.spa.fl_str_mv |
Núm. 24 , Año 2019 : Julio-Diciembre |
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38 |
dc.relation.citationissue.spa.fl_str_mv |
24 |
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11 |
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Apuntes Contables |
dc.relation.references.spa.fl_str_mv |
Ajzen, I. (1988) Attitudes, personality and behavior. Chicago, IL: Dorsey. Alalwan, A. A., Dwivedi, Y. K. y Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending utaut2 with trust. International Journal of Information Management, 37(3), 99-110. Baños, M. A. M. y Quintero, W. (2017). Determinantes del uso de la banca electrónica en Colombia. Revista Finnova: Investigación e Innovación Financiera y Organizacional, 2(3), 15-26. Beltrán Reyes, N. H., Solís, D., Vladimir, A. y Joseemar, F. (2015). Planificación de auditoría basada en riesgos para empresas que se dedican al comercio electrónico (Tesis doctoral), Universidad de El Salvador. Berry, J. W., Berry, J. W., Poortinga, Y. H., Segall, M. H. y Dasen, P. R. (2002). Cross-cultural psychology: Research and applications. Cambridge University Press. Bhatnagar, A., Misra, S. M. y Rao, R. H. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105. Blake, B. F., Neuendorf, K. A. y Valdiserri, C. M. (2003) Innovativeness and variety of Internet shopping. Internet Research Electronic Networking Applications and Policy, 13(3), 156-169. Brown, T. J. y Dacin, P. A. (1997). The company and the product: Corporate associations and consumer product responses. Journal of Marketing, 61, 68-84. Casalo, L. V., Flavián, C. y Guinaliu, M. (2007). The role of security, privacy, usability and reputation in the development of online banking. Online Information Review, 31(5), 583-603. Chen, L. y Liu, H. W. (2015). A review of privacy protection in e-commerce. Journal of Advanced Management Science, 3(1). Chen, Z. y Dubinsky, A. J. (2003). A conceptual model of perceived customer value in ecommerce: A preliminary investigation. Psychology and Marketing, 20(4), 323-347. Childers, T. L., Christopher, L., Carr, J. P. y Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77, 511-535. Chiu, Y. B., Lin, C. P. y Tang, L. L. (2005) Gender differs: Assessing a model of online purchase intentions in e-tail service. International Journal of Service Industry Management, 16(5), 416-435. Citrin, A. V., Sprott, D. E., Silverman, S. N. y Stem, D. E., Jr. (2000). Adoption of Internet hopping: The role of consumer innovativeness. Industrial Management and Data Systems, 100(7), 294-300. Craig, C. S. y Douglas, S. P. (2005). International marketing research. John Wiley and Sons Chichester, England. Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 319-340. Davis, F. D. y Venkatesh, V. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. Davis, F. D. y Venkatesh, V. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. Davis, F. D., Bagozzi, R. P. y Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. Demangeot, C. y Broderick, A. J. (2006). Exploring the experiential intensity of online shopping environments. Qualitative Market Research: An International Journal, 9(4), 325-351. Field, A. (2005). Discovering statistics using SPSS. Londres: Sage. Fishbein, M. y Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, Addison-Wesley, MA. Flynn, L. R. y Goldsmith R. E. (1993). Identifying innovators in consumer service markets. Service Industries Journal, 13(3), 97-109. Gerrard, P. y Barton Cunningham, J. (2003). The diffusion of internet banking among Singapore consumers. International journal of bank marketing, 21(1), 16-28. Gitman, L. J., Juchau, R. y Flanagan, J. (2015). Principles of managerial finance. Pearson Higher Education AU. Goldsmith, R. E. (2000). How innovativeness differentiates online buyers. Quarterly Journal of Electronic Commerce, 1(4), 323-333. Goldsmith, R. E. (2001). Using the domain specific innovativeness scale to identify innovative Internet consumers. Internet Research: Electronic Networking Applications and Policy, 11(2), 149-158. Goldsmith, R. E. y Flynn, L. R. (1992). The domain specific innovativeness scale: Theoretical and practical dimensions. Association for Marketing Theory and Practice Proceedings, 4, 42-55. Goldsmith, R. E. y Flynn, L. R. (1995). The domain specific innovativeness scale: Theoretical and practical dimensions. Association for Marketing Theory and Practice Proceedings, 4, 77-182. Goldsmith, R. E. y Flynn, L. R. (1998). Theory and measurement of consumer innovativeness: A transnational evaluation. European Journal of Marketing, 32(3/4), 340-353. Goldsmith, R. E. y Flynn, L. R. (2004). Psychological and behavioral drivers of online clothing purchases. Journal of Fashion Marketing and Management, 8(1), 84-95. Goldsmith, R. E. y Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209-221. Gopi, M. y Ramayah, T. (2007). Applicability of theory of planned behavior in predicting intention to trade online: Some evidence from a developing country. International Journal of Emerging Markets, 2(4), 348-360. Grewal, D., Munger, J.L., Iyer, G.R., y Levy, M. (2003). The influence of Internet-retailing factors on price expectations. Psychology and Marketing, 20(6), 477-493. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. y Tatham, R. L. (2006) Multivariate data analysis. Prentice Hall, Upper Saddle River, NJ. Hofstede, G. y Hofstede, G. J. (2005) Cultures and organizations: Software of the mind. Hill York: New McGraw. Im, S., Bayus, B. L. y Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics and new-product adoption behavior. Journal of Academy of Marketing Science, 31(1), 61-74. Jarvenpaa, S., Tractinsky, N. y Vitale, M. (2000). Consumer trust in an Internet store. Information Technology and Management, 1(2000), 45-71. Jin, b., Young Park, J. y Kim, J. (2008). Cross-cultural examination od the relationships among firm reputation, e-satisfaction, e-trust, and e-loyalty. International Marketing Review, 25(3), 324-337. Kalia, P., Kaur, N. y Singh, T. (2018). E-Commerce in India: evolution and revolution of online retail. In Mobile Commerce: Concepts, Methodologies, Tools, and Applications (pp. 736-758). Estados Unidos de América: IGI Global. Karayanni, D. A. (2003). Web shoppers and non-shoppers: Compatibility, relative advantage, and demographics. European Business Review, 15(3), 141-152. Karjaluoto, H., Mattila, M. y Pento, T. (2002). Factors underlying attitude formation towards online banking in Finland. International Journal of Bank Marketing; 20(6), 261-272. Khalifa, M. y Shen, K. N. (2008). Explaining the adoption of transactional B2C mobile commerce. Journal of Enterprise Information Management, 21(2), 110-124. Kolter, J. Z. y Joseph Ferreira, J. (2011). “A large-scale study on predicting and contextualizing building energy usage”, Proceedings of the Twenty-Fifth aaai Conference on Artificial Intelligence, AAAI Press, San Francisco, CA, pp. 1349-1356. Lee, I. y Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35-46. Liebermann, Y. y Stashevsky, S. (2002). Perceived risks as barriers to Internet and e- commerce usage. Qualitative Market Research: An International Journal, 5(4), 291-300. Limayem, M., Hirt, S. G. y Chin, W. W. (2001). Intention does not always matter: The contingent role of habit on IT usage behavior, in: The nineth European Conference on Information System. Bled, Slovenia, 274-286. Liu, W., Sidhu, A., Beacom, A. M. y Valente, T. W. (2017). Social network theory. 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Consumer behavior and culture: Consequences for global marketing and advertising. Thousand Oaks, Sage, CA. Ndubisi, N. O. y Sinti, Q. (2006). Consumer attitudes, system’s characteristics and Internet banking adoption in Malaysia. Management Research News, 29(1/2), 16-27. Nunnally, J. (1978) Psychometric theory. Nueva York: McGraw-Hill. Palos, P. (2016). Modelos de aceptación y uso del Cloud Computing: un análisis realizado en el ámbito. Estudios DE Economía Aplicada, 34, 3. Park, C. y Jun, J. K. (2003). A cross-cultural comparison of internet buying behaviour: Effects of Internet usage, perceived risks, and innovativeness. International Marketing Review, 20(5), 534-553. Paswan, A. K. y Hirunyawipada, T. (2006). Consumer innovativeness and perceived risk: Implications for high technology product adoption. Journal of Consumer Marketing, 23(4), 182-198. Pavlou, P. y Fygenson, M. (2006). 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User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33, 297-316. Vidal García, M. E. (2018). Determinantes de la aceptación del “mobile learning” como elemento de formación del capital humano en las organizaciones (Tesis doctoral), Universidad Complutense de Madrid. Yoh, E., Damhorst, M. L., Sapp, S. G. y Laczniak, R. N. (2003) Consumer adoption of the Internet: The case of apparel shopping. Psychology and Marketing, 20(12), 1095-1118. |
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María de Jesús Araiza Vázquez, Erika Yadira Pedraza Sánchez - 2019 |
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Araiza Vázquez, María de Jesúsb7815260-71f7-4165-930b-8666a511ce82Pedraza Sánchez, Erika Yadira572bfbf8-2dbd-4a9a-99d0-979c46bf677b2019-05-30 00:00:002022-08-23T16:22:48Z2019-05-30 00:00:002022-08-23T16:22:48Z2019-05-30Este estudio identifica los posibles factores que pueden motivar u obstaculizar la aceptación de servicios financieros en línea. Los resultados apuntalan que el tam2 es un modelo válido para predecir el propósito de los consumidores objeto de estudio para explicar la diferencia entre adoptantes y no adoptantes. Los indicadores como la protección de la privacidad percibida, la seguridad percibida y la capacidad de innovación del consumidor demuestran tener una relación positiva significativa con estos y predecir significativamente quién es más probable que los adopte. Los hallazgos pueden ayudar a las instituciones financieras a expresar las estrategias de comercialización adecuadas, diseñar sistemas en línea efectivos y acelerar la difusión y uso de estos.This study identifies possible factors that may motivate or hinder the adoption of online financial services. The results support that the tam2 is a valid model to predict the purpose of the consumers under study to explain the difference between adopters and non-adopters. Indicators such as the protection of perceived privacy, perceived safety and consumer innovation capacity demonstrate a significant positive relationship with them and significantly predict who is more likely to adopt them. The findings can help financial institutions express appropriate marketing strategies, design effective online systems and accelerate the dissemination and use of these.application/pdftext/htmlapplication/xml10.18601/16577175.n24.022619-48991657-7175https://bdigital.uexternado.edu.co/handle/001/6404https://doi.org/10.18601/16577175.n24.02spaFacultad de Contaduría Públicahttps://revistas.uexternado.edu.co/index.php/contad/article/download/5980/7703https://revistas.uexternado.edu.co/index.php/contad/article/download/5980/7812https://revistas.uexternado.edu.co/index.php/contad/article/download/5980/7823Núm. 24 , Año 2019 : Julio-Diciembre382411Apuntes ContablesAjzen, I. (1988) Attitudes, personality and behavior. Chicago, IL: Dorsey.Alalwan, A. A., Dwivedi, Y. K. y Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending utaut2 with trust. International Journal of Information Management, 37(3), 99-110.Baños, M. A. M. y Quintero, W. (2017). Determinantes del uso de la banca electrónica en Colombia. Revista Finnova: Investigación e Innovación Financiera y Organizacional, 2(3), 15-26.Beltrán Reyes, N. H., Solís, D., Vladimir, A. y Joseemar, F. (2015). Planificación de auditoría basada en riesgos para empresas que se dedican al comercio electrónico (Tesis doctoral), Universidad de El Salvador.Berry, J. W., Berry, J. W., Poortinga, Y. H., Segall, M. H. y Dasen, P. R. (2002). Cross-cultural psychology: Research and applications. Cambridge University Press.Bhatnagar, A., Misra, S. M. y Rao, R. H. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105.Blake, B. F., Neuendorf, K. A. y Valdiserri, C. M. (2003) Innovativeness and variety of Internet shopping. Internet Research Electronic Networking Applications and Policy, 13(3), 156-169.Brown, T. J. y Dacin, P. A. (1997). The company and the product: Corporate associations and consumer product responses. Journal of Marketing, 61, 68-84.Casalo, L. V., Flavián, C. y Guinaliu, M. (2007). The role of security, privacy, usability and reputation in the development of online banking. Online Information Review, 31(5), 583-603.Chen, L. y Liu, H. W. (2015). A review of privacy protection in e-commerce. Journal of Advanced Management Science, 3(1).Chen, Z. y Dubinsky, A. J. (2003). A conceptual model of perceived customer value in ecommerce: A preliminary investigation. Psychology and Marketing, 20(4), 323-347.Childers, T. L., Christopher, L., Carr, J. P. y Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77, 511-535.Chiu, Y. B., Lin, C. P. y Tang, L. L. (2005) Gender differs: Assessing a model of online purchase intentions in e-tail service. International Journal of Service Industry Management, 16(5), 416-435.Citrin, A. V., Sprott, D. E., Silverman, S. N. y Stem, D. E., Jr. (2000). Adoption of Internet hopping: The role of consumer innovativeness. Industrial Management and Data Systems, 100(7), 294-300.Craig, C. S. y Douglas, S. P. (2005). International marketing research. John Wiley and Sons Chichester, England.Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 319-340.Davis, F. D. y Venkatesh, V. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.Davis, F. D. y Venkatesh, V. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.Davis, F. D., Bagozzi, R. P. y Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.Demangeot, C. y Broderick, A. J. (2006). Exploring the experiential intensity of online shopping environments. 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Psychology and Marketing, 20(12), 1095-1118.María de Jesús Araiza Vázquez, Erika Yadira Pedraza Sánchez - 2019info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/https://revistas.uexternado.edu.co/index.php/contad/article/view/5980Technology acceptance model;adoption;online financial services;data protection;securitymodelo de aceptación de tecnología;aceptación;servicios financieros en línea;protección de datos;seguridadAceptación de servicios financieros en línea por los consumidores del área metropolitana de MonterreyAcceptance of online financial services by consumers of the metropolitan area of MonterreyArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2664https://bdigital.uexternado.edu.co/bitstreams/25e2471f-19c4-4cb4-aac5-82c0993e2518/downloadb4f0ab6bc8020fdfec5546280c14ef6eMD51001/6404oai:bdigital.uexternado.edu.co:001/64042023-08-14 15:17:31.128https://creativecommons.org/licenses/by-nc-sa/4.0/María de Jesús Araiza Vázquez, Erika Yadira Pedraza Sánchez - 2019https://bdigital.uexternado.edu.coUniversidad Externado de Colombiametabiblioteca@metabiblioteca.org |