Omnicanalidad, confianza e intención de compra en el retail: evidencia de Ecuador, Perú y Colombia
DOI:
https://doi.org/10.65598/rps.6259Palabras clave:
estrategias comerciales, confianza del cliente, integración de canales, comercio digital, comportamiento del consumidorResumen
La investigación examina las relaciones entre la omnicanalidad, la confianza del cliente y la intención de compra en el sector retail, a partir de evidencia procedente de consumidores de Ecuador, Perú y Colombia. Se empleó un enfoque cuantitativo y de corte transversal, utilizando el modelado de ecuaciones estructurales mediante mínimos cuadrados parciales (PLS-SEM). Los datos se recolectaron mediante un cuestionario digital autoadministrado aplicado a 292 consumidores. Los resultados mostraron relaciones positivas y estadísticamente significativas entre la omnicanalidad y la confianza, entre la confianza y la intención de compra, y entre la omnicanalidad y la intención de compra. Asimismo, el análisis del efecto indirecto evidenció una mediación parcial complementaria de la confianza en la relación entre omnicanalidad e intención de compra. El modelo presentó niveles adecuados de fiabilidad y validez, así como relevancia predictiva fuera de muestra, con un desempeño frente al modelo lineal de referencia más favorable para la intención de compra que para la confianza. Los hallazgos sugieren que la integración y consistencia entre canales físicos y digitales se relacionan con la confianza y la intención de compra en la muestra analizada. El estudio contribuye a la literatura mediante el análisis integrado de estos constructos y aporta implicaciones para la gestión omnicanal del retail en los contextos estudiados.
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Adecco (2024). El panorama del retail en Perú: Tendencias y Perspectivas. https://n9.cl/x8teg
Amankou, K. A. C., Guchhait, R., Sarkar, B., & Dem, H. (2024). Product-specified dual-channel retail management with significant consumer service. Journal of Retailing and Consumer Services, 79, 103788. https://doi.org/10.1016/j.jretconser.2024.103788
America Mall&Retail (2024). El consumidor latinoamericano con tendencias dispares en la omnicanalidad. https://n9.cl/yuyib
America Mall&Retal (2024). La omnicanalidad revoluciona el retail en Perú, quioscos y bodegas en la era digital. https://n9.cl/bdvsx9
Asmare, A., & and Zewdie, S. (2022). Omnichannel retailing strategy: a systematic review. The International Review of Retail, Distribution and Consumer Research, 32(1), 59–79. https://doi.org/10.1080/09593969.2021.2024447
Barón, E. (2024). Omnicanalidad: la consistencia en la integración de canales de una marca minorista. Contaduría y administración, 69(2), 138-158. http://dx.doi.org/10.22201/fca.24488410e.2024.5198
Barron-San Blas, P., Goirizelaia, M., & Iturregui Mardaras, L. (2025). Entornos híbridos y nuevas identidades: La Generación Z en la era del metaverso. Revista Prisma Social, (49), 60–79. https://doi.org/10.65598/rps.5768
Cattapan, T., & Pongsakornrungsilp, S. (2022). Impact of omnichannel integration on Millennials’ purchase intention for fashion retailer. Cogent Business & Management, 9(1). https://doi.org/10.1080/23311975.2022.2087460
Cho, M., Ko, E., & Borenstein, B. E. (2024). The interaction effect of fashion retailer categories on sustainable labels: the role of perceived benefits, ambiguity, trust, and purchase intention. International Journal of Advertising, 43(6), 1016–1038. https://doi.org/10.1080/02650487.2024.2306763
Choubey, V., & Gautam, A. (2024). Evaluating omni channel retailing in emergencia of industry 5.0: Perspective of South Asian generation Z. International Journal of Information Management Data Insights, 4 (2), 100257. https://doi.org/10.1016/j.jjimei.2024.100257
Chowdhury, S. R., Oakkas, M. A., & Ahmmed, F. (2022). Survey Questionnaire. In M. R. Islam, N. A. Khan, & R. Baikady (Eds.), Principles of Social Research Methodology (pp. 233–248). Springer. https://doi.org/10.1007/978-981-19-5441-2_13
Ciasullo, M. V., Montera, R., Mercuri, F., & Mugova, S. (2022). When Digitalization Meets Omnichannel in International Markets: A Case Study from the Agri-Food Industry. Administrative Sciences, 12(2), 68. https://doi.org/10.3390/admsci12020068
Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092
De la Torre (2024). ¿Omnicanalidad: una prioridad para el crecimiento en Ecuador? Kantar. https://n9.cl/fljdn
Del Moral Pérez, M. E., Guzmán Duque, A. P., & Bellver Moreno, M. C. (2021). Consumo y ocio de la Generación Z en la esfera digital. Revista Prisma Social, (34), 88–105. https://revistaprismasocial.es/article/view/4320
Díaz, B. (2024). Comercio electrónico transfronterizo en América Latina y el Caribe. CEPAL. https://n9.cl/lsfclo
Dubey, U.K.B., & Kothari, D.P. (2022). Research Methodology: Techniques and Trends (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781315167138
Faul, F., Erdfelder, E., Lang, A., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/002224378101800313
Franke, G. & Sarstedt, M. (2019), "Heuristics versus statistics in discriminant validity testing: a comparison of four procedures", Internet Research, 29(3), 430-447. https://doi.org/10.1108/IntR-12-2017-0515
Frasquet, M., Yeva, M., & Mollá-Descals, A. (2024). Customer inspiration in retailing: El rol de perceived novelty y customer loyalty across offline and online channels. Journal of Retailing and Consumer Services, 76 , 103592. https://doi.org/10.1016/j.jretconser.2023.103592
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature. https://link.springer.com/book/10.1007/978-3-030-80519-7
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G. & Roldán, J. L. (2019). Manual de partial least squares structural equation modeling (PLS-SEM) (2da ed.). OmniaScience. https://doi.org/10.3926/oss.37
Henseler, J. ö, 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. https://doi.org/10.1007/s11747-014-0403-8
Hsu, C., Yu, L., Tung, W., & Chen, K. (2024). Unlocking omnichannel shopping myth: ¿cómo sirve conveniencia, shopping value and channel congruence strengthen perceived trust and satisfaction? Marketing Intelligence & Planning, 42 (8), 1633-1650. https://doi.org/10.1108/MIP-11-2023-0608
Hua, H., Wang, W. & Wang, H. (2025). Research on the customer responses to Omni-channel: heterogeneity of channel integration modes. Electron Commer Research, 26(2), 1609-1641. https://doi.org/10.1007/s10660-025-09955-5
Hübner, A., Hense, J., & Dethlefs, C. (2022). The revival of retail stores via omnichannel operations: A literature review and research framework. European Journal of Operational Research, 302(3), 799-818. https://doi.org/10.1016/j.ejor.2021.12.021
ITahora. (2024) Omnicanalidad e IA: El futuro del comercio en las tiendas de barrio del Ecuador. https://n9.cl/hczjh
Jeong, E., & Jo, H. (2024). Omnichannel word-of-mouth genesis: the confluence of online-offline experiences, social influence and skepticism. Asia Pacific Journal of Marketing and Logistics, 36(12), 3492–3513. https://doi.org/10.1108/APJML-03-2024-0259
Kantar. (2024) Omnichannel Report 2024 Decodificando 25 mil millones de elecciones de los consumidores en toda América Latina. https://n9.cl/en5nlf
Kukreti, R., & Yadav, M. (2023). The influence of brand personality on brand love, perceived quality and purchase intention: a study of e-retailing sites. Global Knowledge, Memory and Communication, 74(7-8), 2795–2817. https://doi.org/10.1108/GKMC-05-2023-0153
Kumar, V., & Ayodeji, O. G. (2021). E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers. Journal of Retailing and Consumer Services, 59, 102399. https://doi.org/10.1016/j.jretconser.2020.102399
Lazaris, C., Sarantopoulos, P., Vrechopoulos, A., & Doukidis, G. (2021). Effects of Increased Omnichannel Integration on Customer Satisfaction and Loyalty Intentions. International Journal of Electronic Commerce, 25(4), 440–468. https://doi.org/10.1080/10864415.2021.1967005
Li, J., & Liu, X. (2024). An agent-based simulation model for analyzing and optimizing omni-channel retailing operation decisions. Journal of Retailing and Consumer Services, 79, 103845. https://doi.org/10.1016/j.jretconser.2024.103845
Ling, S., Zheng, C., & Cho, D. (2023). How Brand Knowledge Affects Purchase Intentions in Fresh Food E-Commerce Platforms: The Serial Mediation Effect of Perceived Value and Brand Trust. Behavioral Sciences, 13(8), 672. https://doi.org/10.3390/bs13080672
Lorenzo-Romero, C., Andrés-Martínez, M., & Mondéjar-Jiménez, J. (2020). Omnichannel in the fashion industry: A qualitative analysis from a supply-side perspective. Heliyon, 6(6). https://doi.org/10.1016/j.heliyon.2020.e04198
Malhotra, G., & Srivastava, H. (2023). Green purchase intention in omnichannel retailing: role of environmental knowledge and price sensitivity. Journal of Strategic Marketing, 32(4), 467–490. https://doi.org/10.1080/0965254X.2023.2241464
Marinao-Artigas, E., Shih, W., Limongi, R., & Laroze, D. (2025). Online shopping experience drives online shopping intention: role of omnichannel shopping trust. Revista Brasileira De Gestão De Negócios, 27(1), e20240057. https://doi.org/10.7819/rbgn.v27i01.4292
Guzmán, F., Calvo, A., & Salgado, L (2025). De la Confianza a la Compra: Experiencia Omnicanal, Confianza de Marca e Intención de Compra. Investigación Administrativa, 54(135), 1-18.https://doi.org/10.35426/IAv54n135.07
Meredith Robertson, C., & Kopot, C. (2024). Who still shops at omnichannel fashion department stores? An analysis of generational cohorts and intent to purchase. Journal of Fashion Marketing and Management: An International Journal, 28(3), 525–545. https://doi.org/10.1108/JFMM-08-2022-0182
Mishra, R., Singh, R.K. & Paul, J. (2025), "Factors influencing behavioural intention to avail omnichannel service among Gen Y consumers", Benchmarking: An International Journal, 32(3), 1017-1044. https://doi.org/10.1108/BIJ-05-2023-0333
Nagy, I. D., Dabija, D.-C., Cramarenco, R. E., & Burcă-Voicu, M. I. (2024). The Use of Digital Channels in Omni-Channel Retail—An Empirical Study. Journal of Theoretical and Applied Electronic Commerce Research, 19(2), 797-817. https://doi.org/10.3390/jtaer19020042
Natarajan, T., Veera Raghavan, D. R., & Jayapal, J. (2024). How does channel integration quality promote omnichannel customer citizenship behavior? The moderating role of the number of channels used and gender. Kybernetes, 53(10), 3133–3159. https://doi.org/10.1108/K-11-2022-1594
Neme-Chaves, S. R., Forero-Molina, S. C., Medina, C. G., & Bocanegra, J. P. L. (2024). Desarrollos y perspectivas del retail: estudio bibliométrico en el periodo 2017-2023. Revista Universidad y Empresa, 26(46). https://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.12956
Niño, L. (2023). La omnicanalidad, el reto de los negocios en Colombia con el boom del e-commerce. https://n9.cl/7bc2y
Nosi, C., Pucci, T., Melanthiou, Y., & Zanni, L. (2022). The influence of online and offline brand trust on consumer buying intention. EuroMed Journal of Business, 17(4), 550–567. https://doi.org/10.1108/EMJB-01-2021-0002
Osiyevskyy, O., Umantsiv, Y., & Kavun, O. (2024). Strategy for striking the omnichannel balance in Retail 4.0. Strategy & Leadership, 52(3), 7–19. https://doi.org/10.1108/SL-12-2023-0120
Paz Salas, D. I., Cedeño Moncayo, L., & Franco Anchundia, F. (2024). Transformación del marketing digital y comportamiento del consumidor. Revista Científica Consultina, 2(1), 55–66. https://doi.org/10.63406/r.c.c..v2n1.2024.24
Polas, M. R. H. (2025). Common method bias in social and behavioral research: Strategic solutions for quantitative research in the doctoral research. Journal of Comprehensive Business Administration Research. 1-12. https://doi.org/10.47852/bonviewJCBAR52024285
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & 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), 879–903.https://psycnet.apa.org/doi/10.1037/0021-9010.88.5.879
Quintus, M., Mayr, K., Hofer, K., & Chiu, Y. (2024), "Managing consumer trust in e-commerce: evidence from advanced versus emerging markets". International Journal of Retail & Distribution Management, 52 (10-11), 1038–1056. https://doi.org/10.1108/IJRDM-10-2023-0609
Rahman, S. M., Carlson, J., Chowdhury, N. H., Gudergan, S. P., Wetzels, M., & Grewal, D. (2025). Share of time in omnichannel retailing: Definition and measurement. Journal of Retailing, 101(2), 279-297. https://doi.org/10.1016/j.jretai.2025.04.001
Redondo, I., & Charron, J.-P. (2023). Variety of shopping modes: theoretical framework, pivotal factors, and managerial implications. Journal of Business Economics and Management, 24(5), 857–876. https://doi.org/10.3846/jbem.2023.20438
Riaz, H., Ahmed, H., & Jibril, A. B. (2024). Reassessing customer trust and privacy concerns in omnichannel customer experience. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2410405
Rodríguez-Torrico, P., San José Cabezudo, R., & San-Martín, S. (2024). Building consumer–brand relationships in the channel-mix era. The role of self–brand connection and product involvement. Journal of Product & Brand Management, 33(1), 76–90. https://doi.org/10.1108/JPBM-10-2022-4181
Saravia Espichán, M. K., Garay Rodriguez, D. N., & Melgar Quispe, M. J. (2024). El Marketing omnicanal en el sector retail en LATAM 2020-2024: Revisión Sistemática. Revista de Ciencias y Artes, 2(2), 179–212. https://doi.org/10.37211/2789.1216.v2.n2.60
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587-632). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-57413-4_15
Savastano, M., Anagnoste, S., Biclesanu, I., & Amendola, C. (2024). The impact of e-commerce platforms' quality on customer satisfaction and repurchase intention in post COVID-19 settings. The TQM Journal, 37 (7), 2074-2093 https://doi.org/10.1108/TQM-04-2024-0143
Scharrer, E., & Ramasubramanian, S. (2021). Quantitative Research Methods in Communication: The Power of Numbers for Social Justice. (1st ed.). Routledge. https://doi.org/10.4324/9781003091653
Shmueli, G., Ray, S., Velasquez Estrada, J. M., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69(10), 4552–4564. https://doi.org/10.1016/j.jbusres.2016.03.049
Statista (2024). Number of e-commerce users in Latin America from 2017 to 2030. https://www.statista.com/forecasts/251657/number-of-digital-buyers-in-latin-america/
Streukens, S., & Leroi-Werelds, S. (2023). Multicollinearity: an overview and introduction of ridge PLS-SEM estimation. Partial least squares path modeling: Basic concepts, methodological issues and applications, 183-207. https://doi.org/10.1007/978-3-031-37772-3_7
Taheri, SG, Navabajsh, M., Tohidi, H., & Mohammaditabar, D. (2024). En system dynamics modelo para optimum time, profitability, y customer satisfaction in omni-channel retailing. Journal of Retailing and Consumer Services, 78 , 103784. https://doi.org/10.1016/j.jretconser.2024.103784
Thaichon, P., Quach, S., Barari, M., & Nguyen, M. (2024). Exploración de la role de Omnichannel Retailing Technologies: Future Research Directions. Australasian Marketing Journal, 32 (2), 162-177. https://doi.org/10.1177/14413582231167664
Timoumi, A., Gangwar, M., & Mantrala, M. K. (2022). Cross-channel effects of omnichannel retail marketing strategies: A review of extant data-driven research. Journal of Retailing, 98(1), https://doi.org/10.1016/j.jretai.2022.02.008
Tran Xuan, Q., Truong, H. T. H., & Vo Quang, T. (2023). Omnichannel retailing with brand engagement, trust and loyalty in banking: the moderating role of personal innovativeness. International Journal of Bank Marketing, 41(3), 663–694. https://doi.org/10.1108/IJBM-07-2022-0292
Varadarajan, R., Welden, R. B., Arunachalam, S., Haenlein, M., & Gupta, S. (2022). Digital product innovations for the greater good and digital marketing innovations in communications and channels: Evolution, emerging issues, and future research directions. International Journal of Research in Marketing, 39(2), 482-501. https://doi.org/10.1016/j.ijresmar.2021.09.002
Vásquez-Simbaña, K. A., & Ramírez-Jiménez, S. F. (2025). Estrategias de captación y retención del cliente en el sector del consumo masivo (retail) dentro del Distrito Metropolitano de Quito. MQRInvestigar, 9(1), e307. https://doi.org/10.56048/MQR20225.9.1.2025.e307
Wiardi, A. H., Dharmmestha, B. S., & Purwanto, B. M. (2026). Investigating perceived integrated interaction on e-commerce: How omnichannel experiences drive flow, anticipatory value, trust, and positive WOM. Journal of Global Scholars of Marketing Science, 36(1), 71–108. https://doi.org/10.1080/21639159.2025.2576695
Wu, L., & Tang, Y. (2022). Mobile payment in omnichannel retailing: dynamics between trust and loyalty transfer proceses. Internet Research, 32 (6), 1783-1805. https://doi.org/10.1108/INTR-06-2021-0402
Ximénez, C., Maydeu-Olivares, A., Shi, D., & Revuelta, J. (2022). Assessing Cutoff Values of SEM Fit Indices: Advantages of the Unbiased SRMR Index and Its Cutoff Criterion Based on Communality. Structural Equation Modeling: A Multidisciplinary Journal, 29(3), 368–380. https://doi.org/10.1080/10705511.2021.1992596
Yang, Z., Hu, D. & Chen, X. (2025), "The role of omnichannel integration and digital value in building brand trust: a customer psychological perception perspective", Internet Research, 35 (3), 1029-1064. https://doi.org/10.1108/INTR-06-2023-0464
Yin, C., Chiu, H., Hsieh, Y., & Kuo, C. (2022). How to retain customers in omnichannel retailing: Considerando roles of brand experience and purchase behavior. Journal of Retailing and Consumer Services, 69 , 103070. https://doi.org/10.1016/j.jretconser.2022.103070
Zheng, L., & Li, Y. (2024). Customer journey design in omnichannel retailing: Examinar el efecto autonomy-competence-relatedness in brand relationship building. Journal of Retailing and Consumer Services, 78 , 103776. https://doi.org/10.1016/j.jretconser.2024.103776
Wiardi, A. H., Dharmmestha, B. S., & Purwanto, B. M. (2026). Investigating perceived integrated interaction on e-commerce: How omnichannel experiences drive flow, anticipatory value, trust, and positive WOM. Journal of Global Scholars of Marketing Science, 36(1), 71–108. https://doi.org/10.1080/21639159.2025.2576695
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