Performance assessment on technology transition from small businesses to the U.S. Department of Defense

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Highlights

Social capital is related to the technology transition performance

The distribution of small firms' efficiency scores is left-skewed

The performance is negatively related to technological distance

The performance has a U-shaped relationship with the network position

Abstract

While there is a plethora of literature on overall innovation or technology transfer (or spin-out), there is a paucity of studies on technology transition (or spin-in). This study fills the gap in the existing literature by assessing the technology transition performance of 252 small firms that have won the U.S. Department of Defense (DoD) Small Business Innovation Research (SBIR) Phase II awards from 2001 to 2010 and have filed more than 15 patents (“elite DoD SBIR awardees”) and by exploring how social capital is associated with the performance. To attain the purpose, we propose the use of data envelopment analysis with a time lag, which incorporates two-stage production processes, and apply a non-parametric test (i.e., Kruskal-Wallis) to examine the statistical relationship between social capital measures, such as network centrality and technological distance, and the technology transition performance. Our findings are two folds: (a) more than a quarter of the elite DoD SBIR awardees are efficient and the distribution of efficiency scores is left-skewed and (b) the technology transition performance has a negatively linear relationship with technological distance but a U-shaped relationship with network position measures (e.g., eigenvector centrality).

Keywords

Data envelopment analysis
Technology transition
Social capital
Department of defense

Dr. Toshiyuki Sueyoshi is a Full Professor at New Mexico Institute of Mining and Technology and is an internationally well-known scholar in the field of data envelopment analysis. He has published more than 350 articles in the top-tier journals such as Management Science, American Economic Review, European Journal of Operational Research, Decision Support Systems, Energy Policy, Energy Economics, and Applied Energy. He is also serving as a Distinguished Professor at Tokyo Institute of Technology.

Dr. Youngbok Ryu is an Assistant Teaching Professor at Northeastern University. Before joining Northeastern University, he worked with academic and research institutions in the U.S. and South Korea. His research appeared in the journals, such as Energies, Sustainability, STI Policy Review, and RAND Health Quarterly, as well as in the research reports published by RAND Corporation and the National Academies of Sciences, Engineering, and Medicine.

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