A search theoretic model of productivity, science and innovation
| Autor: | Marianna Makri, Peter J. Lane |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
business.industry
Strategy and Management Novelty Distribution (economics) Technology development Random effects model General Business Management and Accounting Management of Technology and Innovation Manufacturing Knowledge sources Economics Business and International Management Marketing business Productivity Theoretic model Industrial organization |
| Zdroj: | R&D Management. 37:303-317 |
| ISSN: | 1467-9310 0033-6807 |
| DOI: | 10.1111/j.1467-9310.2007.00477.x |
| Popis: | Building on macroeconomic research on technology searches in response to diminishing technological opportunities, we develop an industry-level search theoretic model of productivity, knowledge sources, and innovation. We argue that increasing the use of science in technology development increases the novelty of ideas in the innovation search distribution and thus increases the likelihood of finding productivity improvements. We also propose that this relationship will hold outside the traditional science-based industries (pharmaceuticals, chemicals), and that there is no similar relationship between productivity and non-science patents. Random effect analyses of 32 US manufacturing industries during 1985–1997 support these hypotheses. |
| Databáze: | OpenAIRE |
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