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National Science Foundation National Center for Science and Engineering Statistics
Advancing Measures of Innovation: Knowledge Flows, Business Metrics, and Measurement Strategies

Conclusion

 

Although workshop discussions did not produce an explicit assessment of which indicators are most urgent or immediately feasible, there was a sense that additional analysis of existing indicators and linking existing indicators were more immediately feasible than developing indicators that depend on new surveys or data sets. Further, diverse strategies are not mutually exclusive and can be pursued productively in parallel or in combination.

To some extent the optimal mix of data development strategies will be determined by policy and research needs, resource availability, comparative advantages across components of the U.S. statistical system, and the particular risks and benefits inherent in each approach. Participants urged NSF to work with researchers, other statistical agencies, and advisory bodies to further address relative strengths and weaknesses of the various alternatives.

 
Advancing Measures of Innovation: Knowledge Flows, Business Metrics, and Measurement Strategies
Workshop Report | NSF 07-306 | January 2007