A theoretical framework for analysing technology transfer processes using agent-based modelling: A case study on massive technology adoption (AMTEC) program on rice production

William Orjuela-Garzon, Santiago Quintero, Diana P. Giraldo, Laura Lotero, César Nieto-Londoño

    Research output: Contribution to journalArticle in an indexed scientific journalpeer-review

    5 Scopus citations

    Abstract

    The technology transfer (TT) process has been studied from different approaches to improve productivity and competitiveness in agricultural chains. However, the process is not always presented successfully due to heterogeneity and inequality in the technological capacities (TC) of the agents that are part of the transfer process, in addition to the geographical context, the interaction networks and decision rules, which are key factors to understand the TT phenomenon. In this context and as a case study, the Colombian National Federation of rice growers promoted the development and adoption of technology that increased crop competitiveness and sustainability by implementing a technology transfer program known as the Massive Technology Adoption Program (AMTEC-Adopción Masiva de Tecnología) on rice. With the AMTEC program, average production costs were reduced by 26% (USD 119 per hectare), and it increased average yields by 23% (1.27 tonnes per hectare), which shows the importance of introducing technologies in productive chains in developing countries. This research provides a better understanding of the TT processes, based on the analysis of the interaction dynamics and behaviour patterns between the agents (i.e., generators, intermediaries, or users) in the TT processes. As an analysis tool, the agent-based modelling paradigm (ABM) was proposed to study the emergence at the macro-level of behaviour patterns of a system from the interactions of semi-intelligent agents at the micro-level, using experiments.

    Original languageEnglish
    Article number11143
    JournalSustainability (Switzerland)
    Volume13
    Issue number20
    DOIs
    StatePublished - 1 Oct 2021

    Bibliographical note

    Publisher Copyright:
    © 2021 by the authors.Licensee MDPI, Basel, Switzerland.

    Keywords

    • Agent-based modelling
    • Decision making
    • Smart farming
    • Sustainable innovation
    • Technological capabilities
    • Technological innovation system
    • Technology adoption
    • Technology transfer

    Types Minciencias

    • Artículos de investigación con calidad A1 / Q1

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