Determinantes de la satisfacción y la intención de continuidad en las aplicaciones de entrega de alimentos

Autores/as

DOI:

https://doi.org/10.26439/pjm2026.n003.8276

Palabras clave:

Aplicaciones de entrega de comida (FDA), Modelo de Confirmación de Expectativas (ECM), Satisfacción del usuario

Resumen

Propósito – Este estudio tiene como objetivo identificar los determinantes que influyen en la intención de continuidad en el uso de aplicaciones de entrega de comida (FDA, por sus siglas en inglés) mediante un marco integrado basado en el Modelo de Confirmación de Expectativas (ECM). Aunque las FDAs han transformado los hábitos de consumo en entornos urbanos, mantener el compromiso de los usuarios sigue siendo un desafío importante para las plataformas digitales. Esta investigación examina la influencia de la experiencia de entrega, las promociones, la percepción de ahorro de tiempo, la confirmación de expectativas y la utilidad percibida sobre la satisfacción del usuario y la intención de continuidad. Diseño/metodología/enfoque – El estudio empleó un diseño no experimental, de corte transversal, con un alcance cuantitativo y explicativo. Se recopilaron datos de 174 usuarios válidos en Lima Metropolitana y se analizaron mediante Modelado de Ecuaciones Estructurales por Mínimos Cuadrados Parciales (PLS-SEM) utilizando SmartPLS 4.0. Hallazgos – Los resultados revelan que la satisfacción del usuario medía de manera significativa la relación entre factores operativos (experiencia de entrega, promociones y ahorro de tiempo) y la intención de continuidad. La confirmación de expectativas influye positivamente tanto en la utilidad percibida como en la satisfacción, reforzando el papel del juicio cognitivo en el comportamiento posterior al uso. Implicaciones prácticas – Los hallazgos aportan información valiosa para los gestores de plataformas y diseñadores de servicios que buscan fortalecer la lealtad de los usuarios mediante la mejora del desempeño operativo y la oferta de propuestas de valor personalizadas. Originalidad/valor – Este estudio contribuye a la literatura sobre servicios digitales al extender el marco del ECM al contexto de las FDAs, incorporando atributos funcionales del servicio que han sido escasamente examinados en investigaciones previas. Al capturar tanto factores afectivos como cognitivos, el estudio ofrece una comprensión más integral de los mecanismos de retención de usuarios en los ecosistemas de servicios digitales.

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Referencias

Al-Gahtani, S. S., & King, M. (1999). Attitudes, satisfaction, and usage: Factors contributing to each in the acceptance of information technology. Behaviour & Information Technology, 18(4), 277–297. https://doi.org/10.1080/014492999119020

Bao, Z., & Zhu, Y. (2022). Why customers have the intention to reuse food delivery apps: Evidence from China. British Food Journal, 124(1), 179–196. https://doi.org/10.1108/BFJ-03-2021-0205

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014

Bhaskar, R. (1975). A realist theory of science. Leeds Books.

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly: Management Information Systems, 25(3), 351–370. https://doi.org/10.2307/3250921

Blattberg, R. C., & Neslin, S. A. (1990). Sales promotion: Concepts, methods, and strategies. Prentice Hall.

Chiou, W.-C., Lin, C.-C., & Perng, C. (2010). A strategic framework for website evaluation based on a review of the literature from 1995–2006. Information & Management, 47(5-6), 282-290. https://doi.org/10.1016/j.im.2010.06.002

Choi, K., Wang, Y., Sparks, B. A., & Choi, S. M. (2023). Privacy or security: Does it matter for continued use intention of travel applications? Cornell Hospitality Quarterly, 64(2), 267-282. https://doi.org/10.1177/19389655211066834

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319-340. https://doi.org/10.2307/249008

Esper, T. L., Defee, C. C., & Mentzer, J. T. (2010). A framework of supply chain orientation. The International Journal of Logistics Management, 21(2), 161-179. https://doi.org/10.1108/09574091011071906

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1-4). https://doi.org/10.11648/j.ajtas.20160501.11

Fakfare, P. (2021). Influence of service attributes of food delivery application on customers’ satisfaction and their behavioural responses: The IPMA approach. International Journal of Gastronomy and Food Science, 25, Article 100392. https://doi.org/10.1016/j.ijgfs.2021.100392

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. JMR. Journal of Marketing Research, 18(3), 382. https://doi.org/10.2307/3150980

Foroughi, B., Yadegaridehkordi, E., Iranmanesh, M., Sukcharoen, T., Ghobakhlo, M., & Nilashi, M. (2024). Determinants of continuance intention to use food delivery apps: Findings from PLS and fsQCA. International Journal of Contemporary Hospitality Management, 36(4), 1235-1261. https://doi.org/10.1108/IJCHM-10-2022-1209

Goyal, S., Chauhan, S., Gajpal, Y., & Bhardwaj, A. K. (2023). Examining consumers’ continuance and sharing intention toward food delivery apps. Journal of Enterprise Information Management, 36(6), 1677-1707. https://doi.org/10.1108/JEIM-01-2023-0006

Grand View Research. (2025). Online food delivery market 2025-2030 [Market research report]. Grand View Research. https://www.grandviewresearch.com/industry-analysis/online-food-delivery-market-report

Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 105–117). SAGE.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203

Hoang, H., & Tan, T. L. (2023). Unveiling digital transformation: Investigating technology adoption in Vietnam’s food delivery industry for enhanced customer experience. Heliyon, 9(9), Article e19719. https://doi.org/10.1016/j.heliyon.2023.e19719

Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert scale: Explored and explained. British Journal of Applied Science & Technology, 7(4), 396–403. https://doi.org/10.9734/BJAST/2015/14975

Kerlinger, F. N., & Lee, H. B. (2002). Investigación del comportamiento: Métodos de investigación en ciencias sociales (4th ed.). McGraw-Hill.

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1-10. https://doi.org/10.4018/ijec.2015100101

Kurniawan, A. C., Rachmawati, N. L., Ayu, M. M., Ong, A. K. S., & Redi, A. A. N. P. (2024). Determinants of satisfaction and continuance intention towards online food delivery service users in Indonesia post the COVID-19 pandemic. Heliyon, 10(1), Article e23298. https://doi.org/10.1016/j.heliyon.2023.e23298

Lestari, E., & Riatun, R. (2024). Unveiling key factors for the continuation of E-learning adoption in blended learning environments within Indonesian higher education during the era of the ‘new normal.’ Cogent Education, 11(1), Article 2428871. https://doi.org/10.1080/2331186x.2024.2428871

Mai, X. T., Trinh, T. T., & Ryan, C. (2024). Are you hungry for play? Investigating the role of emotional attachment on continuance intention to use food delivery apps. Journal of Hospitality and Tourism Insights, 7(4), 2968–2991. https://doi.org/10.1108/JHTI-09-2023-0614

Ng, K. S. P., Zhang, J., Wong, J. W. C., & Luo, K. K. (2023). Internal factors, external factors and behavioral intention toward food delivery apps (FDAs). British Food Journal, 125(8), 2970–2987. https://doi.org/10.1108/BFJ-07-2022-0586

Nguyen, G.-D., & Dao, T.-H. T. (2024). Factors influencing continuance intention to use mobile banking: An extended expectation-confirmation model with moderating role of trust. Humanities & Social Sciences Communications, 11, Article 276. https://doi.org/10.1057/s41599-024-02778-z

Nguyen, T., Huang, E., & Nguyen, D. M. (2023). Food delivery app continuance: A dual model and segmentation approach. International Journal of Retail & Distribution Management, 51(5), 569–589. https://doi.org/10.1108/IJRDM-06-2022-0217

Nguyen-Phuoc, D. Q., Su, D. N., Tran, P. T. K., Le, D.-T. T., & Johnson, L. W. (2020). Factors influencing customer’s loyalty towards ride-hailing taxi services: A case study of Vietnam. Transportation Research Part A: Policy and Practice, 134, 96–112. https://doi.org/10.1016/j.tra.2020.02.008

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700405

Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63, 33–44. https://doi.org/10.2307/1252099

Ou, X. (2025, December 17). Online food delivery in Latin America – Statistics & facts. Statista. https://www.statista.com/topics/6732/online-food-delivery-in-latin-america/

Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A multiple-item scale for assessing electronic service quality: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233. https://doi.org/10.1177/1094670504271156

Pasaribu, E., & Aruan, D. T. H. (2024). Craving continuity: Unveiling the impact of integrating information system success and expectation confirmation models on sustained use of food delivery apps. Asian Journal of Engineering, Social and Health, 3(6), 1359-1376. https://doi.org/10.46799/ajesh.v3i6.342

Phillips, D. C., & Burbules, N. C. (2000). Postpositivism and educational research. Rowman & Littlefield.

Pillai, S. G., Kim, W. G., Haldorai, K., & Kim, H.-S. (2022). Online food delivery services and consumers’ purchase intention: Integration of theory of planned behavior, theory of perceived risk, and the elaboration likelihood model. International Journal of Hospitality Management, 105, Article 103275. https://doi.org/10.1016/j.ijhm.2022.103275

Resnik, D. B. (2018). The ethics of research with human subjects: Protecting people, advancing science, promoting trust. Springer.

Sandberg, J., & Alvesson, M. (2011). Ways of constructing research questions: Gap-spotting or problematization? Organization, 18(1), 23–44. https://doi.org/10.1177/1350508410372151

Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105–115. https://doi.org/10.1016/j.jfbs.2014.01.002

Shefira, M., & Mangifera, L. (2023). The role of customer trust in mediating service quality and perceived value of customer satisfaction with Shopeefood application users. In International Conference on Economics and Business Studies (ICOEBS-22-2) (pp. 1034-1045). Atlantis Press. https://doi.org/10.2991/978-94-6463-204-0_84

Statista Market Insights. (2025). Online food delivery – Peru. Statista. https://www.statista.com/outlook/emo/online-food-delivery/peru

Su, D. N., Nguyen-Phuoc, D. Q., Duong, T. H., Dinh, M. T. T., Luu, T. T., & Johnson, L. (2022). How does quality of mobile food delivery services influence customer loyalty? Gronroos’s service quality perspective. International Journal of Contemporary Hospitality Management, 34(11), 4178–4205. https://doi.org/10.1108/ijchm-08-2021-1039

Trochim, W. M. K. (n.d.). Research methods knowledge base. Conjointly. https://socialresearchmethods.net/kb/

Yan, Y., Zhong, S., Tian, J., & Li, T. (2022). Continuance intention of autonomous buses: An empirical analysis based on passenger experience. Transport Policy, 126, 85–95. https://doi.org/10.1016/j.tranpol.2022.07.010

Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN. Electronic Commerce Research and Applications, 6(1), 102–112. https://doi.org/10.1016/j.elerap.2006.06.009

Publicado

2026-04-16

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Determinantes de la satisfacción y la intención de continuidad en las aplicaciones de entrega de alimentos. (2026). Peruvian Journal of Management (PJM), 003, 161-183. https://doi.org/10.26439/pjm2026.n003.8276