La búsqueda activa de soluciones para los problemas de los sistemas agrícolas: una visión desde análisis de decisiones

IF 0.3 Q4 BUSINESS
Óscar Burbano-Figueroa, Milena Arias-Robles, Janeth Alexandra Sierra-Monroy, Adriana David-Hinestroza
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引用次数: 0

Abstract

Introduction / objective: Nowadays society demands from agricultural systems not only the provision of goods for the market but also environmental and social services. This transformation is a challenge due to the unpredictability of executing actions in a complex system with no certainty that it will lead to the desired outcome. This perspective paper describes the application of Decision Analysis (DA) for such uncertain scenarios of decision-making in agricultural systems. Methodology: This paper describes a general protocol for the implementation of DA, proposes a temporal-spatial framework for the application of DA in agricultural systems using concepts of Decision Theory and strategic planning, and introduces a case study for describing how this framework can be applied to agricultural innovation systems. Results: Problems in agricultural systems can be outlined as decision analysis models of specific spatial-temporal scale (planning horizons). This framework has potential for the application of DA in the planning efforts of the Colombian National Agricultural Innovation System, but especially in the implementation of Regional Innovation Systems. Conclusions: We provided an extended DA framework aimed to constitute a sound basis for finding solutions in the complex setting of agricultural systems, for planning actions of science, technology and innovation and for supporting the decision making process of sustainability transformation of agricultural systems.
积极寻求农业系统问题的解决方案:决策分析的视角
前言/目的:当今社会不仅要求农业系统为市场提供商品,而且要求农业系统为环境和社会提供服务。这种转换是一种挑战,因为在复杂系统中执行操作的不可预测性,不确定它将导致期望的结果。本文描述了决策分析(DA)在农业系统中这种不确定决策情景中的应用。方法:本文描述了数据分析实施的一般协议,利用决策理论和战略规划的概念提出了数据分析在农业系统中的应用的时空框架,并介绍了一个案例研究,描述了该框架如何应用于农业创新系统。结果:农业系统的问题可以概括为特定时空尺度(规划视界)的决策分析模型。该框架在哥伦比亚国家农业创新系统的规划工作中,特别是在区域创新系统的实施中,具有应用发展数据的潜力。结论:我们提供了一个扩展的数据分析框架,旨在为在复杂的农业系统环境中寻找解决方案、规划科学、技术和创新行动以及支持农业系统可持续转型的决策过程提供坚实的基础。
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来源期刊
Suma de Negocios
Suma de Negocios BUSINESS-
CiteScore
0.80
自引率
0.00%
发文量
5
审稿时长
8 weeks
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