Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research

决策支持系统 产品(数学) 服务(商务) 系统思维 干预(咨询) 价值(数学) 管理科学 系统研究 动作(物理) 知识管理 计算机科学 过程管理 营销 业务 工程类 人工智能 心理学 数学 物理 机器学习 精神科 生物 牧场 量子力学 生态学 几何学
作者
R. L. McCown,Peter Carberry,Zvi Hochman,Neal Dalgliesh,M. A. Foale
出处
期刊:Crop & Pasture Science [CSIRO Publishing]
卷期号:60 (11): 1017-1030 被引量:95
标识
DOI:10.1071/cp08455
摘要

The idea that simulation models of agricultural production can serve as tools for farmers remains a compelling idea even after 3 decades of mostly disappointing development efforts. This paper is the first in a series that reports on 17 years of systems research that used models differently from the Decision Support System idea that has dominated the field. The starting point of FARMSCAPE (Farmers’, Advisers’, Researchers’, Monitoring, Simulation, Communication And Performance Evaluation) was finding whether farmers could value simulation when conditions for appreciation were improved by (a) specifying the simulator for individual paddocks in question and (b) delivering customised simulation to decision makers as a supporting service rather than software as a decision support product. The first aim of the program has been to learn how to effectively intervene in farm management practice using complex, abstract models of croplands, specified with local soil, climate, and management data. The second aim has been to learn how a resulting service that farmers value can be delivered cost effectively by a third party. This first paper deals with an aspect of the first aim, i.e. valued decision support intervention. In the terms used by Checkland (1981), the activities that served this systems practice aim were guided by ‘what we thought we were doing’ in intervening in farmers’ practice, i.e. our systems thinking. This first paper concerns FARMSCAPE systems thinking and how it evolved over 17 years as we learned successively through discovery of a new concept or representation in the literature to overcome limitations of the then-current conceptual framework. Subsequent papers deal with customising scientific monitoring and simulation for farmers, communication as engagement in situations of practice, understanding decision support intervention as facilitation of personal knowledge construction, and piloting commercial delivery of a simulation-based service to farmers and their advisers.

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