Apply the diffusion of innovations process variables to design a diffusion action strategy that builds resilience for a community priority issue

What this dot point is asking

In Unit 3 the diffusion of innovations model is not just theory to recall; you use it to design a diffusion action strategy for the IA1 action research. QCAA wants you to apply the diffusion process variables to plan how a healthy innovation will actually spread through a real school or local community, and to use RE-AIM to inform that plan. The dot point is about strategy design and justification, so strong responses explain why each design choice will speed uptake rather than just naming the variables.

The answer

What a diffusion action strategy is

A diffusion action strategy is a deliberate plan to get a healthy innovation, a new behaviour, product, program or norm, adopted by a target community over time. Rather than hoping a campaign works, you engineer the conditions that make adoption likely. This is the planning core of the IA1, where you investigate a priority issue, design and model an action strategy, and evaluate it through the action research cycle.

The diffusion process variables

The rate and extent of adoption depend on several factors you can design around:

• The innovation itself and its perceived attributes (see below).
• Communication channels: how the message travels, whether through mass media or trusted interpersonal networks.
• Time: adoption unfolds in stages, from innovators and early adopters through the early and late majority to laggards.
• The social system: the norms, structures and opinion leaders of the community you are working in.

The five innovation attributes

How people perceive an innovation strongly predicts how fast it spreads. Design the innovation to score well on:

• Relative advantage: is it clearly better than what it replaces?
• Compatibility: does it fit the community's existing values, needs and routines?
• Complexity: is it simple to understand and do? Simpler spreads faster.
• Trialability: can people try it on a small scale first with low risk?
• Observability: are the benefits visible to others, so adoption is contagious?

Designing the strategy

Build the plan around these levers. Recruit opinion leaders and early adopters, the respected members whose adoption signals to the early majority that the innovation is safe and worthwhile. Choose communication channels that match the stage: mass media to raise awareness, interpersonal and peer channels to drive actual adoption. Maximise the favourable attributes: make the innovation easy, low-risk to trial and visibly beneficial. Then use RE-AIM to inform the plan by setting targets for reach, adoption and maintenance up front, so you are designing for sustained uptake rather than a one-off launch.

Applying it in the IA1

In your action research you model the strategy and evaluate it through the plan, act, observe, reflect cycle. Justify each choice against the diffusion variables: explain why your chosen opinion leaders carry influence, why your innovation is compatible with the community, and how trialability lowers the barrier to adoption. Linking design decisions to the variables and to RE-AIM targets is what lifts the strategy from a description into a justified, evidence-based plan.