The ‘pathway’ model of impact

From research inputs to benefits, with engagement throughout
The process by which impact happens can be unpredictable and surprising as it involves others using or engaging with your research. However, theoretical models of the research impact process can still be useful tools to help you think about and plan for impact.

Key takeaways

  • The impact pathway is a causal chain from research inputs to benefits, involving stakeholder engagement.

  • Use the pathway to analyse past impacts and also plan for future impact.

  • Beware the limitations of this linear model; explore other engagement-centred models that recognise non-linearity.

  • Impact occurs along a continuum, and the more there is uptake of your research and time goes by, the more the downstream benefits will eventually be demonstrable. 


Read time: 5 min

Impact models

Canonical impact pathway

The ‘pathway to impact’ is the concept of a causal chain from research inputs (e.g. funding, expertise), to research outputs (e.g. publications, patents), to uptake and adoption of those outputs, and finally to the realisation of impacts (benefits). 

Engagement with users and others can take place all along the impact pathway.

The ARC defines this pathway as an ‘analysis or plan which identifies causal links by which research achieves or will achieve its impact’. Understanding it as an analysis or plan is helpful:

STAGE DEFINITION EXAMPLES
Inputs

Resources that enable research

  • Funding
  • Staff time
  • Infrastructure
  • In-kind contributions.
Research activities

Research and related activities

  • Research work that produces new knowledge/theories/methods/tools/etc.
  • Building or leveraging collaborations and partnerships
  • Running workshops, training.
Outputs

Tangible or usable products of research

  • Papers, books, conference proceedings, reports, NTROs
  • New tools, technologies, data in a repository
  • Patents
  • Websites, resources, educational materials
  • New services.
Adoption/outcomes

Outputs or findings taken up, building awareness, or implemented.

The terms ‘adoption’, ‘outcomes’, or even ‘uptake’ are sometimes used interchangeably

Academic impact:

  • Research community awareness (e.g. podcast, editorial, socials)
  • Other researchers use, adapt, or are enabled by new knowledge/tools/theories/data
  • Longstanding problem solved.

Real world impact:

  • Stakeholder awareness (e.g. clinician, industry, public). It is even better if you can show resulting changes in perspective, comprehension, behaviour.
  • Outputs/products/services accessed by stakeholders. It is even better if you can show these things have been demonstrably used, not just accessed.
  • Incorporation into guidelines/policy. It is even better if you can show that the guidelines have also been adopted.
Benefits Longer term benefits arising from adoption

Academic impact:

  • New findings by other researchers arising from using/adapting your work
  • Benefits for research or the academy arising from your new knowledge/tools/theories/data.

Real world impact:

  • Improved health outcomes
  • Environmental benefits
  • Cultural benefits
  • Money saved or made
  • Improvements in social wellbeing
  • Jobs created.

Alternative models of impact

The canonical model for impact is called a ‘logic model’ because of its stepwise structure. The linearity of this pathway model is simplistic, of course. The route from research to impact is often more complex, and some impacts may even be tangential to the primary intent of the research. For example, research that is co-designed and co-conducted with end-users is likely to deliver impacts during the research process itself, including the upskilling of those end-users.

There are other models of impact that recognise this non-linearity and that also place engagement with users more squarely at the centre of the process.

Impact is a continuum

One quandary the pathway model may create is whether there is a threshold for impact – a point on the pathway after which the consequences of your research suddenly resolve or solidify into ‘impact’? In other words, when on this pathway does impact ‘begin’? And are some effects too inconsequential to be considered bona fide impact? Will it take years until impact emerges from your research? 

Rather than adopting a ‘threshold’ approach to impact, it’s more useful to think of impact occurring along a continuum that encompasses adoption as well as the resulting downstream benefits.