Using Human Resource Data to Track Innovation Summary of a Workshop (2002) / Chapter Skim
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3. Research Applications of Human Resource Data
3. Research Applications of Human Resource Data
Pages 21-27
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From page 21... ...
Second, those founders and managers tend to be scientists and engineers on whom there is considerable public information. Leading practitioners of this analysis include Lynne Zucker and Michael Darby, who have studied the emergence of biotechnology in the United States and abroad (inter alla, Darby et al., 1999; Zucker et al., 1994~.
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From page 22... ...
By finding out where the founders were employed before starting a firm, she discovered that most were spun off from large supplier firms, such as Litton Bionetics, Life Technologies, Inc., and Bethesda Research Labs, Inc., rather than universities. Those founded by academics were more likely to be from leading universities outside Maryland.
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From page 23... ...
One hundred percent of those firms with 20 or more employees employed UC graduates. UC graduates with advanced degrees in molecular biology and related life sciences fields were working in most parts of a company including regulatory affairs, quality assurance, manufacturing, scale-up operations involving bioprocess engineering, and business development.
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From page 24... ...
Approximately 28 percent of the life sciences faculty surveyed in these 50 most-research-intensive universities had industry support for ~ This effect reversed, however, when faculty received more than two-thirds their research funding from industry. They published significantly fewer articles in the past 3 years.
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From page 25... ...
Siegel noted that systematic assessment of the human resources characteristics and practices of successful university technology transfer offices could have practical policy consequences in identifying best practices, which in turn might facilitate more efficient spillovers of scientific knowledge.
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From page 26... ...
Networks with Formal and Informal Elements Diana Hicks of CHI Research spoke of possibilities of tying together databases on technical publications and patents, which are produced by people, with other human resources data to help measure the intangible elements of firm assets. For example, it appears that papers published by industrial researchers are more highly cited than those by academic researchers in certain fields of the biological and other sciences.
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From page 27... ...
Hicks cautioned, however, that the effort to pull the data together was very intensive and expensive, and a considerable investment would be needed to extend the analysis to more companies and include human resources data. Hicks estimated that it might take $3 million to $4 million to clean and integrate up to 10 years of data from the various citation and human resources databases and another $25,000 a year to maintain it, excluding the cost of getting data on sources of research funding.
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