Reconceptualizing Stars: Scientist Helpfulness and Peer Performance

It is surprising that the prevailing performance taxonomy for scientists (star versus nonstar) focuses only on individual output and ignores social behavior, because innovation is often characterized as a communal process. To develop a deeper understanding of the mechanisms by which scientists influence the productivity of others, I expand the traditional taxonomy of scientists that focuses solely on productivity and add a second, social dimension: helpfulness to others. Using a combination of academic paper publications and citations to capture scientist productivity and the receipt of academic paper acknowledgments to measure helpfulness, I examine the change in publishing output of the coauthors of 149 scientists that die. Coauthors of highly helpful scientists that die experience a decrease in output quality but not output quantity. Meanwhile, the deaths of high productivity scientists that are not highly helpful do not influence their coauthors' output. In addition, scientists who are helpful with conceptual feedback (critique and advice) have a larger impact on the performance of their coauthors than scientists who provide help with material access, scientific tools, or technical work. Within the context of evaluating scientific productivity, it may be time to update our conceptualization of a “star.” This paper was accepted by Lee Fleming, entrepreneurship and innovation.

[1]  Jasjit Singh,et al.  Lone Inventors as Source of Breakthroughs: Myth or Reality? , 2009, Manag. Sci..

[2]  Fabian Waldinger Peer effects in science: evidence from the dismissal of scientists in Nazi Germany , 2012 .

[3]  Garth J. O. Fletcher,et al.  Comprar Blackwell Handbook of Social Psychology: Interpersonal Processes | Garth Fletcher | 9780631212294 | Wiley , 2008 .

[4]  L. Shultz,et al.  Anti-CD11b antibody prevents immunopathologic changes in viable moth-eaten bone marrow chimeric mice. , 1993, Journal of immunology.

[5]  Boris Groysberg,et al.  Can They Take It With Them? The Portability of Star Knowledge Workers' Performance , 2004, Manag. Sci..

[6]  T. Allen Managing the flow of technology , 1977 .

[7]  Paula E. Stephan,et al.  Research Productivity over the Life Cycle: Evidence for Academic Scientists , 1991 .

[8]  Anthony S Fauci,et al.  Immunology research: challenges and opportunities in a time of budgetary constraint , 2007, Nature Immunology.

[9]  Ajay Agrawal,et al.  How do spatial and social proximity influence knowledge flows? Evidence from patent data , 2008 .

[10]  B Bennett Specific suppression of tumor growth by isolated peritoneal macro- phages. Abstr. , 1965 .

[11]  Daron Acemoglu,et al.  A Microfoundation for Social Increasing Returns in Human Capital Accumulation , 1996 .

[12]  Jasjit Singh,et al.  Recruiting for Ideas: How Firms Exploit the Prior Inventions of New Hires , 2010, Manag. Sci..

[13]  G. King,et al.  Causal Inference without Balance Checking: Coarsened Exact Matching , 2012, Political Analysis.

[14]  Pierre Azoulay,et al.  Superstar Extinction , 2008 .

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

[16]  Araújo,et al.  An Evolutionary theory of economic change , 1983 .

[17]  B. Cronin,et al.  Trading cultures: Resource mobilization and service rendering in the life sciences as revealed in the journal article's paratext , 2006 .

[18]  P. Romer Endogenous Technological Change , 1989, Journal of Political Economy.

[19]  Devesh Kapur,et al.  Give Us Your Best and Brightest: The Global Hunt for Talent and Its Impact on the Developing World , 2005 .

[20]  Mike Freeman The Scholar’s Courtesy: : The Role of Acknowledgment in the Primary Communication Process , 2013 .

[21]  Joon-Oh Park,et al.  The Increasing Dominance of Teams in Production of Knowledge , 2011 .

[22]  Holger Ernst,et al.  Inventors are not alike: the distribution of patenting output among industrial R&D personnel , 2000, IEEE Trans. Engineering Management.

[23]  Mohammad Muzahid Akbar,et al.  ORGANIZATIONAL CITIZENSHIP BEHAVIOR: ITS NATURE AND ANTECEDENTS , 2004 .

[24]  J. S. Long,et al.  DEPARTMENTAL EFFECTS ON SCIENTIFIC PRODUCTIVITY , 1990 .

[25]  B. Kogut,et al.  Localization of Knowledge and the Mobility of Engineers in Regional Networks , 1999 .

[26]  Henry Sauermann,et al.  Credit Where Credit is Due? The Impact of Project Contributions and Social Factors on Authorship and Inventorship , 2012 .

[27]  John McHale,et al.  Collaboration, Stars, and the Changing Organization of Science: Evidence from Evolutionary Biology , 2013 .

[28]  D. Price Little Science, Big Science , 1965 .

[29]  A. Gaur,et al.  Prostaglandin E2-dependent induction of granulocyte-macrophage colony-stimulating factor secretion by cloned murine helper T cells. , 1989, Journal of immunology.

[30]  Avi Goldfarb,et al.  Does Knowledge Accumulation Increase the Returns to Collaboration? , 2013 .

[31]  Woodruff Jj,et al.  Lymphocyte recognition of lymph node high endothelium: adhesive interactions determining entry into lymph nodes. , 1984 .

[32]  H. Matsue,et al.  Keratinocyte-derived IL-7 serves as a growth factor for dendritic epidermal T cells in mice. , 1993, Journal of immunology.

[33]  Andrew Hess,et al.  Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects , 2007, Organ. Sci..

[34]  J. Wooldridge Distribution-free estimation of some nonlinear panel data models , 1999 .

[35]  Gary P. Pisano,et al.  The Firm Specificity of Individual Performance: Evidence from Cardiac Surgery , 2006, Manag. Sci..

[36]  M. Brewer,et al.  Intellectual Capital and the Birth of U.S. Biotechnology Enterprises , 1994 .

[37]  R. Strieter,et al.  An important role for the chemokine macrophage inflammatory protein-1 alpha in the pathogenesis of the T cell-mediated autoimmune disease, experimental autoimmune encephalomyelitis. , 1995, Journal of immunology.

[38]  Norman Kaplan,et al.  The Sociology of Science: Theoretical and Empirical Investigations , 1974 .

[39]  Ajay Agrawal,et al.  International labor mobility and knowledge flow externalities , 2008 .

[40]  S. Rosen The Economics of Superstars , 1981 .

[41]  Ajay Agrawal,et al.  Why Stars Matter , 2014 .

[42]  J. Woodruff,et al.  Lymphocyte recognition of lymph node high endothelium. I. Inhibition of in vitro binding by a component of thoracic duct lymph. , 1980, Journal of immunology.

[43]  Marie C. Thursby,et al.  Specific and General Information Sharing Among Academic Scientists , 2009 .

[44]  Jasjit Singh,et al.  Collaborative Networks as Determinants of Knowledge Diffusion Patterns , 2005, Manag. Sci..

[45]  Hui Han,et al.  Automatic acknowledgement indexing: expanding the semantics of contribution in the CiteSeer digital library , 2005, K-CAP '05.

[46]  Benjamin F. Jones The Burden of Knowledge and the &Apos;Death of the Renaissance Man&Apos;: Is Innovation Getting Harder? , 2005 .

[47]  Z. Griliches,et al.  Econometric Models for Count Data with an Application to the Patents-R&D Relationship , 1984 .

[48]  Alfred J. Lotka,et al.  The frequency distribution of scientific productivity , 1926 .

[49]  A. Agrawal,et al.  NBER WORKING PAPER SERIES BRAIN DRAIN OR BRAIN BANK? THE IMPACT OF SKILLED EMIGRATION ON POOR-COUNTRY INNOVATION , 2008 .

[50]  M. Feldman,et al.  R&D spillovers and the ge-ography of innovation and production , 1996 .

[51]  R. Lucas On the Mechanics of Economic Development , 1988 .

[52]  Blaise Cronin,et al.  The Scholar's Courtesy: The Role Of Acknowledgement In The Primary Communication Process , 1995 .