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DRIVERS, MOTIVATIONS AND EXPECTED RESULTS OF THE ACQUISITION OF TECHNOLOGY IN AGRIBUSINESS IN THE DEPARTMENT OF CUNDINAMARCA, COLOMBIA

Authors

DOI:

https://doi.org/10.24054/face.v23i2.2455

Keywords:

Technology, agribusiness, Cundinamarca, Colombia

Abstract

In recent years, very little attention has been paid by academia to the factors that influence farmers to acquire technology, especially in developing countries where there is great potential for growth and sophistication of the sector. Although, in previous studies it has been shown that the economic benefit is the main reason given by the producers to adopt the available technology, other attitudes play a role in the acquisition decision. The objective of this project is to identify the drivers, motivations and expected results that are decisive for agricultural companies to intend to acquire technology. Through the weighted analysis of the variables, we seek to establish the relationship of the observed variables, through a quantitative methodology of multivariate analysis. The most representative relationship is the improvement of the profitability of the activity with the development of information technologies, thus evidencing a very relevant relationship for the commercialization and marketing chain of the products of the UPAs (Agricultural Production Units).

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References

Adrian, A. M., Norwood, S. H., & Mask, P. L. (2005). Producers’ perceptions and attitudes toward precision agriculture

technologies. Computers and electronics in agriculture, 48(3), 256-271.

Barnes, A. P., Soto, I., Eory, V., Beck, B., Balafoutis, A., Sánchez, B., ... & Gómez- Barbero, M. (2019). Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers. Land use policy, 80, 163- 174.

Beedell, J., & Rehman, T. (2000). Using social- psychology models to understand farmers’ conservation behaviour. Journal of rural studies, 16(1), 117-127.

Caswell y Zilberman 1985.

DANE (2019). Encuesta Nacional Agropecuaria. S ENA.

Fairweather, J. R., & Keating, N. C. (1994). Goals and management styles of New Zealand farmers. Agricultural systems, 44(2), 181-200.

Feder, G., & Umali, D. L. (1993). The adoption of agricultural innovations: a review. Technological forecasting and social change, 43(3-4), 215-239.

Guevara L y Castellanos O F 2000 Incidencia de la tecnología blanda y la tecnología dura en el desarrollo industrial de la biotecnología en Colombia. Innovar Journal, 1(15):79–94. https://revistas.unal.edu.co/index.php/inn ovar/article/view/24210

Kamrath, C., Wesana, J., Bröring, S., & De Steur, H. (2019). What do we know about chain actors’ evaluation of new food technologies? A systematic review of consumer and farmer studies. Comprehensive Reviews in Food Science and Food Safety, 18(3), 798- 816.

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, 100315.

Li, W., Clark, B., Taylor, J. A., Kendall, H., Jones,

G., Li, Z., ... & Cheng, X. (2020). A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems. Computers and Electronics in Agriculture, 172, 105305.

Minciencias (2019). TICs en el sector agrícola. Disponible en: https://www.mintic.gov.co/portal/715/articl es-125156_recurso_00.pdf

Ministerio de Tecnologías de la Información y las Comunicaciones (2020). TICs en el sector agrícola. Disponible en: https://mintic.gov.co/portal/vivedigital/612

/w3-article-19492.html

Nuthall, P. L. (2001). Managerial ability—a review of its basis and potential improvement using psychological

concepts. Agricultural Economics, 24(3), 247-262.

Santos, L. K. C. (2018). El uso de la tecnología en la agricultura. Pro Sciences, 2(14), 25- 32.

Thornton P K 2010 Livestock production: recent trends, future prospects. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1554):2853–2867. doi.org/10.1098/rstb.2010.0134.

Toma, L., Barnes, A. P., Sutherland, L. A., Thomson, S., Burnett, F., & Mathews, K. (2018). Impact of information transfer on farmers’ uptake of innovative crop technologies: a structural equation model applied to survey data. The Journal of Technology Transfer, 43(4), 864-881.

Vásquez-Jaramillo C, Barrios D y Cerón-Muñoz M F 2018 Estudio exploratorio de la calidad de vida en el trabajo de ordeñadores de sistemas de producción de leche. Archivos de zootecnia,: 67(258): 228-233. https://www.uco.es/ucopress/az/index.ph p/az/article/view/3658

Vecchio, Y., Agnusdei, G. P., Miglietta, P. P., & Capitanio, F. (2020). Adoption of Precision Farming Tools: The Case of Italian Farmers. International Journal of Environmental Research and Public Health, 17(3), 869.

Published

2023-08-17 — Updated on 2023-05-29

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How to Cite

Parra Acosta, Y. K., Almanza Junco, C. A., & Aponte Chirivi, D. O. (2023). DRIVERS, MOTIVATIONS AND EXPECTED RESULTS OF THE ACQUISITION OF TECHNOLOGY IN AGRIBUSINESS IN THE DEPARTMENT OF CUNDINAMARCA, COLOMBIA. FACE: Revista De La Facultad De Ciencias Económicas Y Empresariales, 23(2), 5–17. https://doi.org/10.24054/face.v23i2.2455 (Original work published August 17, 2023)

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