Construcción de un modelo de ecuaciones estructurales que relacione los factores de valor percibido hacia las tarjetas de crédito clásicas en población colombiana

Neme Chaves, Samir Ricardo; Forero Molina, Sara Catalina

Construcción de un modelo de ecuaciones estructurales que relacione los factores de valor percibido hacia las tarjetas de crédito clásicas en población colombiana

dc.contributor.author	Neme Chaves, Samir Ricardo
dc.contributor.author	Forero Molina, Sara Catalina
dc.contributor.cvlac	http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001344193
dc.contributor.cvlac	http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001377177
dc.contributor.googlescholar	https://scholar.google.es/citations?user=I_RekVUAAAAJ&hl=es&authuser=1
dc.contributor.googlescholar	https://scholar.google.es/citations?user=V4FviDYAAAAJ&hl=es
dc.contributor.orcid	https://orcid.org/0000-0003-2327-4947
dc.contributor.orcid	https://orcid.org/0000-0002-3020-0690
dc.date.accessioned	2020-04-15T16:54:52Z
dc.date.available	2020-04-15T16:54:52Z
dc.date.issued	2019-08
dc.description	El uso de tarjetas de crédito viene creciendo año a año en Colombia de acuerdo con la Superintendencia Financiera. En tal medida, es fundamental evaluar el impacto que las estrategias de las entidades financieras han venido teniendo en torno a las percepciones de los clientes, por lo que el valor percibido se convierte en un constructo en el que se debe fijar la atención. Así, con base en los proyectos FODEIN 2018 y FODEIN 2019, el presente proyecto tiene como objetivo construir un modelo de ecuaciones estructurales que relacione los factores de valor percibido hacia las tarjetas de crédito clásicas en población colombiana. Lo anterior, representa dos ventajas, por un lado, llenar un vacío teórico ya que no se han propuesto estudios que hayan abordado el valor percibido en las tarjetas de crédito y por el otro, garantizar la calidad de la propuesta metodológica. Por consiguiente, el análisis se llevará a cabo mediante el método multivariado de modelamiento de ecuaciones estructurales que permitirá identificar la relación entre los factores de valor percibido hacia las tarjetas de crédito clásica en población colombiana.	spa
dc.description.abstract	The use of credit cards has been growing year by year in Colombia according to the Financial Superintendence. As such, it is essential to evaluate the impact that the strategies of financial institutions have been having on customer perceptions, so that the perceived value becomes a construct on which attention must be focused. Thus, based on the FODEIN 2018 and FODEIN 2019 projects, this project aims to build a model of structural equations that relates the perceived value factors to classic credit cards in the Colombian population. This represents two advantages, on the one hand, filling a theoretical gap since no studies have been proposed that have addressed the perceived value of credit cards and, on the other, guaranteeing the quality of the methodological proposal. Therefore, the analysis will be carried out using the multivariate method of modeling structural equations that will allow us to identify the relationship between factors of perceived value towards classic credit cards in the Colombian population.	spa
dc.description.domain	http://unidadinvestigacion.usta.edu.co	spa
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/11634/22459
dc.publisher.branch	CRAI-USTA Bogotá	spa
dc.relation.references	Bolton, R. N., & Lemon, K. N. (1999). A dynamic model of customers' usage of services: Usage as an antecedent and consequence of satisfaction. Journal of Marketing Research, 36(2), 171-186. 10.2307/3152091	spa
dc.relation.references	Carter, J., & Pritchard, D. (2015). Knowledge-how and epistemic value. Australasian Journal of Philosophy, 93(4), 799-816. doi: https://doi.org/10.1080/00048402.2014.997767	spa
dc.relation.references	Casas, M. (2002) Los modelos de ecuaciones estructurales y su aplicación en el Índice Europeo de Satisfacción del Cliente. Actas_10	spa
dc.relation.references	Chen, C. F., & Tsai, M. H. (2008). Perceived value, satisfaction, and loyalty of TV travel product shopping: Involvement as a moderator. Tourism Management, 29(6), 1166-1171. doi: 10.1016/j.tourman.2008.02.019	spa
dc.relation.references	Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments//doi.org/10.1016/S0022-4359(00)00028-2	spa
dc.relation.references	Cupani, M. (2012) Análisis de ecuaciones estructurales: Conceptos, etapas de desarrollo y un ejemplo de aplicación. Revista Tesis 1 pp 186-199	spa
dc.relation.references	Eggert, A., & Ulaga, W. (2002). Customer perceived value: a substitute for satisfaction in business markets?. Journal of Business & industrial marketing, 17(2/3), 107-118.	spa
dc.relation.references	El Tiempo (2018). Por primera vez se lleva a 15 millones de tarjetas de crédito. Retrieved from https://www.eltiempo.com/economia/sector-financiero/usuarios-de-tarjetas-de-credito-en-colombia-2018-241960	spa
dc.relation.references	Fang, B., Ye, Q., Kucukusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498-506. doi: https://doi.org/10.1016/j.tourman.2015.07.018	spa
dc.relation.references	Filippi, C., Guastaroba, G., & Speranza, M. G. (2017). Applications of Conditional Value-at-Risk Beyond Finance: A Literature Review. In Technical Report 2. University of Brescia, Department of Economics and Management.	spa
dc.relation.references	Friston, K., Rigoli, F., Ognibene, D., Mathys, C., Fitzgerald, T., & Pezzulo, G. (2015). Active inference and epistemic value. Cognitive neuroscience, 6(4), 187-214. doi: https://doi.org/10.1080/17588928.2015.1020053	spa
dc.relation.references	Gamage, T. C., & Ahsan, F. J. (2013). Perceived Value of Online Services: Scale Validation and Managerial Implications. url: http://220.247.247.85:8081/handle/123456789/7914	spa
dc.relation.references	García-Fernández, J., Gálvez-Ruíz, P., Fernández-Gavira, J., Vélez-Colón, L., Pitts, B., & Bernal-García, A. (2018). The effects of service convenience and perceived quality on perceived value, satisfaction and loyalty in low-cost fitness centers. Sport Management Review, 21(3), 250-262. doi: https://doi.org/10.1016/j.smr.2017.07.003	spa
dc.relation.references	Greco, J., & De Sa, L. P. (2018). Epistemic Value. doi:10.4324/0123456789-P073-1	spa
dc.relation.references	Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135.	spa
dc.relation.references	Khare, A., Khare, A., y Singh, S. (2012). Factors affecting credit card use in India. Asia Pacific Journal of Marketing and Logistics, 24(2), 236-256	spa
dc.relation.references	Kouri, D. P., & Surowiec, T. M. (2016). Risk-averse PDE-constrained optimization using the conditional value-at-risk. SIAM Journal on Optimization, 26(1), 365-396.doi:https://doi.org/10.1137/140954556	spa
dc.relation.references	Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.	spa
dc.relation.references	Lee, J., y Kwon, K-N. (2002). Consumers’ use of credit cards: store credit card usage as an alternative payment and financing medium. The Journal of Consumer Affairs, 36(2), 239-262.	spa
dc.relation.references	Liang, L. J., Choi, H. C., & Joppe, M. (2018). Understanding repurchase intention of Airbnb consumers: perceived authenticity, electronic word-of-mouth, and price sensitivity. Journal of Travel & Tourism Marketing, 35(1), 73-89.doi: https://doi.org/10.1080/10548408.2016.1224750	spa
dc.relation.references	Linkola, J. (2018). Monetising mobile customer’s perceived value. Master’s Thesis. Aalto University. Espoo, Finland. url: http://urn.fi/URN:NBN:fi:aalto-201806293790	spa
dc.relation.references	Macdonald, E. K., Kleinaltenkamp, M., & Wilson, H. N. (2016). How business customers judge solutions: Solution quality and value in use. Journal of Marketing, 80(3), 96-120. doi: 10.1509/jm.15.0109	spa
dc.relation.references	McDougall, G. H., & Levesque, T. (2000). Customer satisfaction with services: putting perceived value into the equation. Journal of services marketing, 14(5), 392-410.	spa
dc.relation.references	MinTic (2019). Ministerio TIC hace recomendaciones para que los colombianos compren por internet de forma segura este “CiberLunes”. Retrieved from https://www.mintic.gov.co/portal/604/w3-article-101206.html	spa
dc.relation.references	Mueller, R. O., & Hancock, G. R. (2018). Structural equation modeling. In The reviewer’s guide to quantitative methods in the social sciences (pp. 445-456). Routledge.	spa
dc.relation.references	Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: a research agenda. Journal of the academy of marketing science, 28(1), 168-174.	spa
dc.relation.references	Phau, I., y Woo, C. (2008). Understanding compulsive buying tendencies among young Australians: the roles of money attitude and credit card usage. Journal of Marketing Intelligence & Planning, 26(5), 441-460.	spa
dc.relation.references	Pezzulo, G., Cartoni, E., Rigoli, F., Pio-Lopez, L., & Friston, K. (2016). Active Inference, epistemic value, and vicarious trial and error. Learning & Memory, 23(7), 322-338. doi:http://www.learnmem.org/cgi/doi/10.1101/lm.041780.116.	spa
dc.relation.references	Portafolio. (2019). Colombia, el país donde más se gasta con tarjetas en latinoamérica. Retrieved from http://www.portafolio.co/economia/finanzas/colombia-el-pais-donde-mas-se-gasta-con-tarjetas-en-latinoamerica-527128	spa
dc.relation.references	Ryu, K., Lee, H. R., & Gon Kim, W. (2012). The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. International Journal of Contemporary Hospitality Management, 24(2), 200-223.	spa
dc.relation.references	Sánchez-Fernández, R., & Iniesta-Bonillo, M. Á. (2007). The concept of perceived value: a systematic review of the research. Marketing Theory, 7(4), 427–451. https://doi.org/10.1177/1470593107083165	spa
dc.relation.references	Shapiro, S. L., Reams, L., & So, K. K. F. (2018). Is it worth the price? the role of perceived financial risk, identification, and perceived value in purchasing pay-per-view broadcasts of combat sports. doi. 10.1016/j.smr.2018.03.002	spa
dc.relation.references	Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170. 10.1016/0148-2963(91)90050-8	spa
dc.relation.references	Superintendencia Financiera de Colombia (2017). Informe de tarjetas de crédito y débito. Recuperado de https://www.superfinanciera.gov.co/inicio/informe-de-tarjetas-de-credito-y-debito-60952	spa
dc.relation.references	Superintendencia Financiera de Colombia (2018). Informe de tarjetas de crédito y débito. Recuperado de https://www.superfinanciera.gov.co/inicio/informe-de-tarjetas-de-credito-y-debito-60952	spa
dc.relation.references	Superintendencia Financiera de Colombia (2019). Informe de tarjetas de crédito y débito. Recuperado de https://www.superfinanciera.gov.co/inicio/informe-de-tarjetas-de-credito-y-debito-60952	spa
dc.relation.references	Sweeney, J. C., Soutar, G. N., & Johnson, L. W. (1999). The role of perceived risk in the quality-value relationship: a study in a retail environment. Journal of retailing, 75(1), 77-105. doi: https://doi.org/10.1016/S0022-4359(99)80005-0	spa
dc.relation.references	Yang, Z., & Peterson, R. T. (2004). Customer perceived value, satisfaction, and loyalty: The role of switching costs. Psychology & Marketing, 21(10), 799-822. doi: https://doi.org/10.1002/mar.20030	spa
dc.relation.references	Yang, H., Yu, J., Zo, H., & Choi, M. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269. doi: https://doi.org/10.1016/j.tele.2015.08.007	spa
dc.relation.references	Yang, J., Gu, Y., & Cen, J. (2011). Festival tourists' emotion, perceived value, and behavioral intentions: A test of the moderating effect of festivalscape. Journal of Convention and Event Tourism, 12(1), 25-44. 10.1080/15470148.2010.551292	spa
dc.relation.references	Walsh, G., Shiu, E., & Hassan, L. M. (2014). Replicating, validating, and reducing the length of the consumer perceived value scale. Journal of Business Research, 67(3), 260-267. //doi.org/10.1016/j.jbusres.2013.05.012 Retrieved from http://www.sciencedirect.com/science/article/pii/S0148296313002002	spa
dc.relation.references	Wiedmann, K. P., Behrens, S., Hennigs, N., & Klarmann, C. (2016). What is the perceived value of wine? A cross-generation study of consumer wine perception and consumption behavior. In Looking Forward, Looking Back: Drawing on the Past to Shape the Future of Marketing (pp. 551-551). Springer, Cham.	spa
dc.relation.references	Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52, 2-22. doi:10.1177/002224298805200302	spa
dc.rights	Atribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.keyword	Structural equations	spa
dc.subject.keyword	Perceived value	spa
dc.subject.keyword	Classic credit cards	spa
dc.subject.proposal	Ecuaciones estructurales	spa
dc.subject.proposal	Valor percibido	spa
dc.subject.proposal	Tarjetas de crédito clásicas	spa
dc.title	Construcción de un modelo de ecuaciones estructurales que relacione los factores de valor percibido hacia las tarjetas de crédito clásicas en población colombiana	spa
dc.type.category	Formación de Recurso Humano para la Ctel: Proyecto ejecutado con investigadores en empresas, industrias y Estado	spa