Made in Academia: The Effect of Institutional Origin on Inventors’ Attention to Science

Inventors cannot exploit new scientific discoveries if they do not pay attention to them. However, allocating attention to science is difficult because the scientific literature is complex, vast, fast-changing, and often unreliable. Inventors are therefore likely to rely on informational cues when screening new publications. I posit that inventors pay significantly less attention to discoveries “made in academia” than to those “made in industry” because they believe that the work of academic scientists will be less useful to them. I test this proposition by examining inventors’ patent references to the scientific literature in the case of simultaneous discoveries made by at least one team based in academia and another based in industry. I find that inventors are 23% less likely to cite the academic paper than its “twin” from industry. My results highlight the importance of inventors’ attention as a previously underexplored bottleneck shaping the translation of science into new technologies.

[1]  Pierre Azoulay,et al.  Matthew: Effect or Fable? , 2012, Manag. Sci..

[2]  E. Hippel Sticky Information and the Locus of Problem Solving: Implications for Innovation , 1994 .

[3]  I. Cockburn,et al.  Absorptive Capacity, Coauthoring Behavior, and the Organization of Research in Drug Discovery , 2003 .

[4]  Nathan Rosenberg,et al.  Exploring the Black Box: Technology, Economics, and History , 1994 .

[5]  Michelle Gittelman,et al.  Does Good Science Lead to Valuable Knowledge? Biotechnology Firms and the Evolutionary Logic of Citation Patterns , 2003, Manag. Sci..

[6]  S. Winter,et al.  An evolutionary theory of economic change , 1983 .

[7]  M. Gittelman,et al.  Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations , 2006, The Review of Economics and Statistics.

[8]  B. Latour Science in action : how to follow scientists and engineers through society , 1989 .

[9]  R. Nelson The Simple Economics of Basic Scientific Research , 1959, Journal of Political Economy.

[10]  M. Rosenblatt,et al.  An incentive-based approach for improving data reproducibility , 2016, Science Translational Medicine.

[11]  Z. Griliches Patent Statistics as Economic Indicators: a Survey , 1990 .

[12]  James A. Evans Industry Induces Academic Science to Know Less about More1 , 2010, American Journal of Sociology.

[13]  Heidi L. Williams Intellectual Property Rights and Innovation: Evidence from the Human Genome , 2010, Journal of Political Economy.

[14]  Jacob Schmookler,et al.  Invention and Economic Growth , 1967 .

[15]  Mina Bissell,et al.  Reproducibility: The risks of the replication drive , 2013, Nature.

[16]  K. Arrow Economic Welfare and the Allocation of Resources for Invention , 1962 .

[17]  Gary Chamberlain,et al.  Analysis of Covariance with Qualitative Data , 1979 .

[18]  D Blumenthal,et al.  Participation of life-science faculty in research relationships with industry. , 1996, The New England journal of medicine.

[19]  S. Lenway,et al.  Knowledge and competitive advantage, the coevolution of firms, technology and national institutions , 2003 .

[20]  Joel Mokyr,et al.  The Gifts of Athena: Historical Origins of the Knowledge Economy , 2002 .