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Pro-Poor Value Chain Development - Capacity.org

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52<br />

4. Exponential growth in information and communications technology has<br />

transformed the ability to take advantage of knowledge developed in other<br />

places or for other purposes;<br />

5. The knowledge structure of the agricultural sector in many countries is changing<br />

markedly;<br />

6. Agricultural development is increasingly taking place in a globalised setting.<br />

Figure 3.1: The traditional knowledge management model<br />

(adapted from Boekhoff et al, 1998)<br />

Strategic content<br />

of knowledge<br />

Purpose<br />

Why?<br />

Developement of knowledge<br />

and testing<br />

Determine necessary<br />

knowledge<br />

Inventory of existing<br />

knowledge<br />

Acquisition of<br />

knowledge<br />

Knowledge management:<br />

-Steering and structuring the knowledge chain process<br />

-Key issues: effectiveness, efficiency and flexibility<br />

-Using different tools<br />

Knowledge Applying of Evaluating<br />

documentation Upscaling of<br />

and transfer knowledge<br />

knowledge<br />

Can be one<br />

with developing<br />

knowledge<br />

An innovation system can be defined as: “…a network of <strong>org</strong>anizations, enterprises,<br />

and individuals focused on bringing new products, new processes, and new forms<br />

of <strong>org</strong>anization into economic use, together with the institutions and policies that<br />

affect their behaviour and performance. The innovation systems concept embraces<br />

not only the science suppliers but the totality and interaction of actors involved in<br />

innovation. It extends beyond the creation of knowledge to encompass the factors<br />

affecting demand for and use of knowledge in novel and useful ways” (The World<br />

Bank, 2006).<br />

<strong>Value</strong> chains are complex systems (Camps and Batterink et al, 2004) characterised<br />

by the presence of many actors and other interactive elements that influence the<br />

dynamics of the entire system. The number and variety of linkages between these<br />

different elements is so diverse that it is very difficult - some would argue impossible<br />

- to predict the outcome of any intervention. Right from the outset, therefore,<br />

BOAM adopted the concept of innovation systems as the <strong>org</strong>anising principle for its<br />

approach to facilitating knowledge development and learning in value chains. When<br />

applied to this complex multi-actor environment, a systems perspective enables<br />

practitioners to move away from top-down linear planning to interventions that are<br />

more interactive, learning oriented and adaptive.

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