Unpacking the Precision Technologies for Adaptation of the Chilean Dairy Sector. A Structural-functional Innovation System Analysis.

Authors

  • Guy Boisier Instituto de Administración, Facultad de Ciencias Económicas y Administrativas, Universidad Austral
  • Kimberly Hahn Departament of Social Sciences, Wageningen University
  • Cristian Geldes Departamento de Gestión y Negocios, Facultad de Economía y Negocios, Universidad Alberto Hurtado
  • Laurens Klerkx Departament of Social Sciences, Wageningen University

DOI:

https://doi.org/10.4067/S0718-27242021000400056

Keywords:

technological innovation system, innovation system analysis, precision technologies

Abstract

Precision technologies and smart farming practices are spreading globally. However, there are still limited insights into how these technologies develop in newly adopted countries and adapt to different local systems, especially in emergent economies. This article aims to diagnose the technological innovation system of precision technologies within Chile's dairy sector, focusing on the possibilities of development and co-evolution. A structural-functional innovation system analysis is performed, based upon 41 semi-structured interviews. The main results indicate that precision technologies are in the implementation phase in the Chilean dairy sector, with scarce experience and undeveloped knowledge of their benefits. Moreover, there are insufficient interactions between different actors with limited information sharing due to the lack of trust as a cultural issue, affecting the development of smart farming practices. Some strategies to develop and co-evolve the technological systems are discussed, as is the need to increase trust and cooperation between the actors of the dairy sector.

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Published

2022-01-07

How to Cite

Boisier, G. ., Hahn, K. ., Geldes, C. ., & Klerkx, L. . (2022). Unpacking the Precision Technologies for Adaptation of the Chilean Dairy Sector. A Structural-functional Innovation System Analysis. Journal of Technology Management & Innovation, 16(4), 56–66. https://doi.org/10.4067/S0718-27242021000400056

Issue

Section

Research Articles

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