A search theoretic model of productivity, science and innovation

Marianna Makri, Peter J. Lane

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)303-317
Number of pages15
JournalR and D Management
Volume37
Issue number4
DOIs
StatePublished - Sep 1 2007

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Innovation
Productivity
Industry
Drug products
Macroeconomics
Productivity improvement
Science-based industry
Random effects
Novelty
Manufacturing industries
Technology development
Patents
Technological opportunity
Pharmaceuticals

ASJC Scopus subject areas

  • Business and International Management
  • Business, Management and Accounting(all)
  • Strategy and Management
  • Management of Technology and Innovation

Cite this

A search theoretic model of productivity, science and innovation. / Makri, Marianna; Lane, Peter J.

In: R and D Management, Vol. 37, No. 4, 01.09.2007, p. 303-317.

Research output: Contribution to journalArticle

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