Capacity development for agriculture innovation: A practitioners’ guidebook to a systems approach

Capacity development for agriculture innovation: A practitioners’ guidebook to a systems approach

1.3 Broadly define system boundaries

The mapping of an innovation system should begin by defining system boundaries. System boundaries define some “reasonable” limits of a system.

In an agricultural innovation system, system boundaries may enclose something relatively simple to identify (e.g., a crop or commodity) or something more complex (e.g., a long and complicated value chain). To integrate systems thinking into the mapping process, it is critical to actively listen, engage, and learn from system actors themselves.

Once the system’s boundaries have been defined, users can then determine the locus/loci of the problem. In broad terms, where are the boundaries of the problem, and what are the challenges or obstacles to achieving success?

Consider these dimension as a way of reasonably bounding the problem of interest

  • Supply chain dynamics
  • Value chain relations
  • Market niches
  • Agro-ecological zones
  • Watersheds

Broadly viewed, where are the challenges? Consider…

  • Supply chain dynamics
  • Value chain relations
  • Market niches
  • Agro-ecological zones
  • Watersheds
  • Technology designs
  • Organizational cultures
  • Learning curricula
  • Policies and regulations
  • Network relationships

…or some other dimension that reasonably bounds the problem of interest.

Example: Dentoni and Krussmann (2015), A Value Network Analysis of the Malawian Legume System

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  • Home
    • Why this guidebook now?
    • Who should use this guidebook and why?
    • What’s in this guidebook?
    • Guiding principles and values
  • Rationale
    • Definition: agricultural innovation system
    • Terms and terminology
    • A “new” approach to capacity development
    • An innovation systems approach
  • The process
    • Who participates in the process?
    • Who can facilitate the process?
    • Where is an innovation systems approach to capacity development useful?
    • How does this process work?
    • Elements in the process
  • Element 1 Mapping and engagement
    • Outputs and outcomes from mapping & engagement
    • 1.1 Broadly identify the problem of interest
    • 1.2 Reality check: What kind of problem is it?
    • 1.3 Broadly define system boundaries
    • 1.4 Identify key system domains and attributes
    • 1.5 Define key actors in the system
    • 1.6 Identify relationships across the system
    • 1.7 Describe the enabling environment
    • 1.8 Reality check: Is the system basically understood?
    • 1.9 Engage with stakeholders
    • 1.10 Reflect on mapping and engagement
  • Element 2 Analysis and refinement
    • Outputs and outcomes from analysis and refinement
    • 2.1 Identify root causes of the problem
    • 2.2 Create and refine the problem statement
    • 2.3 Reality check: Is capacity development the answer?
    • 2.4 Design an analysis of current capacities
    • 2.5 Select a focus for capacity analysis
    • 2.6 Prioritize capacity development
    • 2.7 Reflect on analysis and refinement
    • 2.8 Reflect on process and progress
  • Element 3 Co-creation and monitoring
    • Outputs and outcomes from co-creation and monitoring
    • 3.1 Identify entry points into design
    • 3.2 Build a theory of change
    • 3.3 Identify innovative capacity needs
    • 3.4 Consider the time dimensions of capacity development
    • 3.5 Reality check: Is there support for this process?
    • 3.6 Select appropriate tools
    • 3.7 Build ownership among system actors
    • 3.8 Design a broad M&E strategy
    • 3.9 Select a monitoring system that fits
    • 3.10 Choose an evaluation strategy that fits
    • 3.11 Reflect: Is there potential for success?
  • Case studies and other material
A handful of pigeon peas
  • Home
    • Why this guidebook now?
    • Who should use this guidebook and why?
    • What’s in this guidebook?
    • Guiding principles and values
  • Rationale
    • Definition: agricultural innovation system
    • Terms and terminology
    • A “new” approach to capacity development
    • An innovation systems approach
  • The process
    • Who participates in the process?
    • Who can facilitate the process?
    • Where is an innovation systems approach to capacity development useful?
    • How does this process work?
    • Elements in the process
  • Element 1 Mapping and engagement
    • Outputs and outcomes from mapping & engagement
    • 1.1 Broadly identify the problem of interest
    • 1.2 Reality check: What kind of problem is it?
    • 1.3 Broadly define system boundaries
    • 1.4 Identify key system domains and attributes
    • 1.5 Define key actors in the system
    • 1.6 Identify relationships across the system
    • 1.7 Describe the enabling environment
    • 1.8 Reality check: Is the system basically understood?
    • 1.9 Engage with stakeholders
    • 1.10 Reflect on mapping and engagement
  • Element 2 Analysis and refinement
    • Outputs and outcomes from analysis and refinement
    • 2.1 Identify root causes of the problem
    • 2.2 Create and refine the problem statement
    • 2.3 Reality check: Is capacity development the answer?
    • 2.4 Design an analysis of current capacities
    • 2.5 Select a focus for capacity analysis
    • 2.6 Prioritize capacity development
    • 2.7 Reflect on analysis and refinement
    • 2.8 Reflect on process and progress
  • Element 3 Co-creation and monitoring
    • Outputs and outcomes from co-creation and monitoring
    • 3.1 Identify entry points into design
    • 3.2 Build a theory of change
    • 3.3 Identify innovative capacity needs
    • 3.4 Consider the time dimensions of capacity development
    • 3.5 Reality check: Is there support for this process?
    • 3.6 Select appropriate tools
    • 3.7 Build ownership among system actors
    • 3.8 Design a broad M&E strategy
    • 3.9 Select a monitoring system that fits
    • 3.10 Choose an evaluation strategy that fits
    • 3.11 Reflect: Is there potential for success?
  • Case studies and other material

Case studies and other material

Case studies that describe elements of the capacity development process from an innovation systems perspective, highlighting pilot engagements designed to test the systems approach to capacity development with selected Feed the Future Innovation Labs.

  • Feed the Future Innovation Lab for Livestock Systems: Ethiopia (pdf)
  • Feed the Future Innovation Lab for Fish: Nigeria (pdf)

Additional materials that are useful to sharing the agricultural systems approach to capacity development.

  • At a glance: A systems approach to capacity development for agriculture innovation (pptx)
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