Adopción de inteligencia artificial y capacidades dinámicas de innovación en Mipymes bananeras de Manabí: Un estudio de caso

Luis David Vargas-Macias; Ariel Masyuver Cano-Lucas; Benigno Javier Alcívar-Martínez; Susy Tatiana Toala-Mendoza

Authors

Vargas-Macias Luis David Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López. Calceta, Ecuador. https://orcid.org/0009-0003-1399-0576
Cano-Lucas Ariel Masyuver Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López. Calceta, Ecuador. https://orcid.org/0009-0008-6990-7299
Alcívar-Martínez Benigno Javier Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López. Calceta, Ecuador. https://orcid.org/0000-0002-4930-4617
Toala-Mendoza Susy Tatiana Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López. Calceta, Ecuador. https://orcid.org/0000-0003-0898-7826

Keywords:

Artificial intelligence, banana plantations, innovation, customer, SMEs

Abstract

DOI: https://doi.org/10.46296/rc.v9i18.0444

ABSTRACT

The objective of this study is to characterize the level of Artificial Intelligence (AI) adoption and its perceived impact on dynamic innovation capabilities in micro, small, and medium-sized enterprises (MSMEs) within the banana sector of Manabí Province, Ecuador. The research was conducted using a quantitative approach, with a non-experimental, cross-sectional, and descriptive-exploratory design. A case study methodology was applied to two agroproductive MSMEs: Hacienda Margarita and Hacienda Anita. Data were collected through a structured survey based on the models proposed by Flores and Gutiérrez (2022) for the Artificial Intelligence variable and García et al. (2014) for dynamic innovation capabilities, using a five-point Likert scale. The instrument consisted of 37 items. The results reveal an incipient level of Artificial Intelligence adoption in the companies analyzed, particularly regarding strategic implementation, resource allocation, and staff training. Relatively positive levels were identified in the dimensions of customer orientation, market orientation, and innovation performance. The MSMEs studied demonstrate practices aimed at adaptation and continuous improvement; however, they still face challenges in consolidating systematic technological innovation processes.

Keywords: Artificial intelligence, banana plantations, innovation, customer, SMEs.

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References

Al Dhaheri, M. H., Ahmad, S. Z., & Papastathopoulos, A. (2024). Do environmental turbulence, dynamic capabilities, and artificial intelligence force SMEs to be innovative? Journal of Innovation & Knowledge, 9(3), 100528. https://doi.org/10.1016/j.jik.2024.100528

Ayoub, H. S., & Sopuru, J. C. (2026). Reconfiguring Strategic Capabilities in the Digital Era: How AI-Enabled Dynamic Capability, Data-Driven Culture, and Organizational Learning Shape Firm Performance. Sustainability, 18(3), 1157. https://doi.org/10.3390/su18031157

Badghish, S., & Soomro, Y. A. (2024). Artificial Intelligence Adoption by SMEs to Achieve Sustainable Business Performance: Application of Technology–Organization–Environment Framework. Sustainability, 16(5), 1864. https://doi.org/10.3390/su16051864

Calle García, J. S., Sotaminga Andi, A. S., Garay Arias, G. N., y Villavicencio Tuares, R. R. (2024). INTELIGENCIA ARTIFICIAL Y SU CONTRIBUCIÓN A LA INNOVACIÓN EN LAS EMPRESAS. Ciencia y Desarrollo, 27(2), 245. https://doi.org/10.21503/cyd.v27i2.2618

Cardozo Jiménez, C. J., & Riascos Erazo, S. C. (2024). Relación del desarrollo sostenible y las capacidades dinámicas en el desempeño innovador de los negocios verdes: Estudio bibliométrico. Revista CEA, 11(25), e3110. https://doi.org/10.22430/24223182.3110

De La Torre, A., & De La Vega, I. (2025). Dynamic capabilities and digital innovation: Pathways to competitive advantage through responsible innovation. Journal of Responsible Innovation, 12(1), 2500154. https://doi.org/10.1080/23299460.2025.2500154

Demuner Flores, M. D. R., Cernas Ortiz, D. A., y Mercado Salgado, P. (2025). Capacidades de Resiliencia e innovación: Predictores del rendimiento de las pymes del servicio de alimentos. Ciencias Administrativas, (27), 166. https://doi.org/10.24215/23143738e166

Eastwood, C., Ayre, M., Nettle, R., & Dela Rue, B. (2019). Making sense in the cloud: Farm advisory services in a smart farming future. NJAS: Wageningen Journal of Life Sciences, 90-91(1), 1-10. https://doi.org/10.1016/j.njas.2019.04.004

Esparza García, IG, Clark Mendivil, Y., y Sánchez Guerrero,, M. (2022). Capacidades dinámicas e innovación: Origen de la competitividad en empresas de servicios turísticos en México. Revista de Ciencias Sociales (Ve) , Esp. 28 (6), 395-411. https://www.redalyc.org/journal/280/28073815028/

Flores, M., & Gutiérrez, M. (2022). Impacto de la aplicación de la inteligencia en las empresas de servicios en marketing paceñas (Tesis de grado). Universidad Mayor de San Andrés. https://repositorio.umsa.bo/bitstream/handle/123456789/30904/TD-3078.pdf

Gao, Y., Liu, S., & Yang, L. (2025). Artificial intelligence and innovation capability: A dynamic capabilities perspective. International Review of Economics & Finance, 98, 103923. https://doi.org/10.1016/j.iref.2025.103923

García Osorio, O., Quintero Quintero, J., & Arias-Pérez, J. (2014). Capacidades de innovación, desempeño innovador y desempeño organizacional en empresas del sector servicios. Cuadernos de Administración, 27(49), 86. https://doi.org/10.11144/Javeriana.cao27-49.cidi

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning. https://eli.johogo.com/Class/CCU/SEM/_Multivariate%20Data%20Analysis_Hair.pdf

Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences, 90-91(1), 1-16. https://doi.org/10.1016/j.njas.2019.100315

Liu, L., Cui, L., Han, Q., & Zhang, C. (2024). The impact of digital capabilities and dynamic capabilities on business model innovation: The moderating effect of organizational inertia. Humanities and Social Sciences Communications, 11(1), 420. https://doi.org/10.1057/s41599-024-02910-z

Machucho, R., & Ortiz, D. (2025). The Impacts of Artificial Intelligence on Business Innovation: A Comprehensive Review of Applications, Organizational Challenges, and Ethical Considerations. Systems, 13(4), 264. https://doi.org/10.3390/systems13040264

Merín-Rodrigáñez, J., Dasí, À., & Alegre, J. (2024). Digital transformation and firm performance in innovative SMEs: The mediating role of business model innovation. Technovation, 134, 103027. https://doi.org/10.1016/j.technovation.2024.103027

Oldemeyer, L., Jede, A., & Teuteberg, F. (2025). Investigation of artificial intelligence in SMEs: A systematic review of the state of the art and the main implementation challenges. Management Review Quarterly, 75(2), 1185-1227. https://doi.org/10.1007/s11301-024-00405-4

Pin Solórzano, J. D., López Loor, M. J., Alcívar Martínez, B., & Zambrano Delgado, J. (2024). Capacidades dinámicas y la innovación en Mipymes del sector camaronero de Manabí. Uniandes Episteme, 11(1), 57-71. https://doi.org/10.61154/rue.v11i1.3376

Salamanca Pérez, V. J. (2025). La inteligencia artificial como motor de gestión del conocimiento en el sector empresarial latinoamericano. Revista Estrategia Organizacional, 14(2), 165-187. https://doi.org/10.22490/25392786.10745

Sánchez-Rodríguez, A., García-Vidal, G., Fernández-Ochoa, Y., Martínez-Vivar, R., Gavilanes-Venegas, A. E., & Pérez-Campdesuñer, R. (2025). Navigating Uncertainty Through AI Adoption: Dynamic Capabilities, Strategic Innovation Performance, and Competitiveness in Ecuadorian SMEs. Administrative Sciences, 15(12), 468. https://doi.org/10.3390/admsci15120468

Sun, B., Yu, J., Khattak, S. I., Tariq, S., & Zahid, M. (2025). Digital Innovation, Business Models Transformations, and Agricultural SMEs: A PRISMA-Based Review of Challenges and Prospects. Systems, 13(8), 673. https://doi.org/10.3390/systems13080673

Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319-1350. https://doi.org/10.1002/smj.640

Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349. https://doi.org/10.1016/j.lrp.2018.12.001

Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017). Big Data in Smart Farming – A review. Agricultural Systems, 153, 69-80. https://doi.org/10.1016/j.agsy.2017.01.023

Yesuf, Y., & Fields, Z. (2025). Artificial Intelligence Adoption as a Driver of Innovation and Competitiveness in SMEs: A Bibliometric and Systematic Review. F1000Research, 14, 1187. https://doi.org/10.12688/f1000research.171494.1