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The theoretical foundations, validation, and ongoing research behind Adoptic's evaluation framework.
Adoptic's variables are drawn from a wide range of established theories and frameworks, including:
In addition to these core theories, the framework incorporates insights from over 50 established frameworks, ranging from Technology Readiness Levels (TRL) to venture capital evaluation criteria.
Each of the 73 variables in the Adoptic framework is supported by dedicated literature reviews. These reviews establish the research basis for why each variable matters, how it has been studied, and the evidence linking it to innovation success or failure.
The Adoptic framework has been validated against 54 Australian university technology startups with known outcomes. The results demonstrate strong predictive power:
| Outcome | Prediction Accuracy |
|---|---|
| Confirmed failures | 100% of confirmed failures were correctly predicted |
| Confirmed adoption | 75% of confirmed adoption outcomes were correctly predicted |
These results provide strong evidence that the framework's variables capture the critical factors that determine whether an innovation project will succeed or fail.
The science behind Adoptic is not static. Research continues to refine and extend the framework — testing new variables, validating against broader datasets, and deepening the theoretical foundations.
ISN extends an open invitation to fellow researchers interested in collaboration. Whether you are studying innovation, entrepreneurship, research translation to impact, or related fields, there are opportunities to work with the Adoptic dataset and framework.