A theory-based logic model for innovation policy and evaluation
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Cited by:
- Halima Jibril & Stephen Roper & Mark Hart, 2021. "COVID-19, business support and SME productivity in the UK," Working Papers 005, The Productivity Institute.
- Mikhail Gershman & Galina Kitova, 2017. "Assessing Government Support for Research and Innovation in Russian Universities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 1067-1084, September.
- Bozeman, Barry & Youtie, Jan, 2017. "Socio-economic impacts and public value of government-funded research: Lessons from four US National Science Foundation initiatives," Research Policy, Elsevier, vol. 46(8), pages 1387-1398.
- Gretchen B. Jordan, 2013. "Logic modeling: a tool for designing program evaluations," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 6, pages 143-165, Edward Elgar Publishing.
- Mikhail A. Gershman & Galina A. Kitova, 2016. "Evaluation of Research and Innovation Policies: The Case of Russian Universities," HSE Working papers WP BRP 57/STI/2016, National Research University Higher School of Economics.
- de Almeida, Liliane & Augusto de Jesus Pacheco, Diego & Caten, Carla Schwengber ten & Jung, Carlos Fernando, 2021. "A methodology for identifying results and impacts in technological innovation projects," Technology in Society, Elsevier, vol. 66(C).
- Barbero, Javier & Zabala-Iturriagagoitia, Jon Mikel & Zofío, José L., 2021. "Is more always better? On the relevance of decreasing returns to scale on innovation," Technovation, Elsevier, vol. 107(C).
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