Developing a Systematic Diagnostic Model for Integrated Agricultural Supply and Processing Systems

Abstract

Despite all the innovative research in agriculture, technology adoption in integrated agricultural supply and processing systems (IASPS) remains a challenge. This is attributed to the complex nature of IASPS and the continued lack of a holistic view towards most of the interventions into the systems. To make sense of issues that affect IASPS, it is important to recognise that most issues within these systems do not exist in isolation, but are imbedded within complex interrelationships. This research developed and demonstrated a systematic diagnostic model that could be used to locate high leverage intervention points within IASPS and to make predictions about the systems behaviour. A meta-analysis was conducted to test the evidence of the interlinkages between IASPS domains and to compare the strength of these relationships. The model revealed that the collaboration, structure and information sharing domains had a higher direct leverage over the other IASPS domains as these were associated with a larger number of interlinkages. Additionally, collaboration and structure provided dynamic leverage as these domains were part of feedback loops. In terms of the potency, collaboration was highly correlated to culture compared to the other domains, viz., information sharing, coercive power and transaction costs.

An Assessment of the Effects of Food Districts on Sustainable Management of Land: The Case of Lombardia, Italy

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Reduction of Cost, Energy and Emissions of the Formalin Production Process via Methane Steam Reforming

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“…Various newly developed technologies and techniques are expected to improve the currently unsustainable state of industrial systems [4]. It is vital to adopt more sustainable technologies in supply chains [5], to interconnect different industrial processes, and directly use secondary raw materials, byproducts and waste as inputs, especially in the production of bulk chemicals.…”

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