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Aftermath of a tragedy: A star's death and coauthors’ subsequent productivity

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  • Khanna, Rajat

Abstract

Following the death of a star scientist, do coauthors experience a uniform decline in productivity? Prior work informs us that the death of a star negatively influences coauthors’ productivity. In this study, I extend this idea and argue that the characteristics of coauthors’ collaboration networks moderate the negative association between a star's death and coauthors’ productivity. The analyses of data on academic publications in pharmacology and pharmacy between 1980 and 2000 reveal that the death of stars has heterogeneously affected the subsequent productivity of coauthors. In particular, I find that the effective size of the coauthors' collaboration network mitigated the negative effect of a star's death. In contrast, the stability of the coauthors' collaboration network intensified the negative aftermath of the loss of a star scientist. The findings uncover the role of collaborative ties of the coauthors of a deceased star in pursuit of scientific research.

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  • Khanna, Rajat, 2021. "Aftermath of a tragedy: A star's death and coauthors’ subsequent productivity," Research Policy, Elsevier, vol. 50(2).
  • Handle: RePEc:eee:respol:v:50:y:2021:i:2:s004873332030233x
    DOI: 10.1016/j.respol.2020.104159
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    as
    1. Bruce Kogut & Udo Zander, 1992. "Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology," Organization Science, INFORMS, vol. 3(3), pages 383-397, August.
    2. Jeff S. Armstrong & Michael R. Darby & Lynne G. Zucker, 2003. "Commercializing knowledge: university science, knowledge capture and firm performance in biotechnology," Proceedings, Federal Reserve Bank of Dallas, issue Sep, pages 149-170.
    3. Gautam Ahuja & Giuseppe Soda & Akbar Zaheer, 2012. "The Genesis and Dynamics of Organizational Networks," Organization Science, INFORMS, vol. 23(2), pages 434-448, April.
    4. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    5. Jasjit Singh & Ajay Agrawal, 2011. "Recruiting for Ideas: How Firms Exploit the Prior Inventions of New Hires," Management Science, INFORMS, vol. 57(1), pages 129-150, January.
    6. Knut Koschatzky & Rolf Sternberg, 2000. "R&D Cooperation in Innovation Systems—Some Lessons from the European Regional Innovation Survey (ERIS)," European Planning Studies, Taylor & Francis Journals, vol. 8(4), pages 487-501, August.
    7. Xavier Jaravel & Neviana Petkova & Alex Bell, 2018. "Team-Specific Capital and Innovation," American Economic Review, American Economic Association, vol. 108(4-5), pages 1034-1073, April.
    8. Zucker, Lynne G. & Darby, Michael R., 1997. "Present at the biotechnological revolution: transformation of technological identity for a large incumbent pharmaceutical firm," Research Policy, Elsevier, vol. 26(4-5), pages 429-446, December.
    9. Kai Li & Jason Rollins & Erjia Yan, 2018. "Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 1-20, April.
    10. Dennis Epple & Linda Argote & Rukmini Devadas, 1991. "Organizational Learning Curves: A Method for Investigating Intra-Plant Transfer of Knowledge Acquired Through Learning by Doing," Organization Science, INFORMS, vol. 2(1), pages 58-70, February.
    11. Isin Guler & Atul Nerkar, 2012. "The impact of global and local cohesion on innovation in the pharmaceutical industry," Strategic Management Journal, Wiley Blackwell, vol. 33(5), pages 535-549, May.
    12. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
    13. Hicks, Diana, 1995. "Published Papers, Tacit Competencies and Corporate Management of the Public/Private Character of Knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 4(2), pages 401-424.
    14. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    15. Meyer-Krahmer, Frieder & Schmoch, Ulrich, 1998. "Science-based technologies: university-industry interactions in four fields," Research Policy, Elsevier, vol. 27(8), pages 835-851, December.
    16. Akbar Zaheer & Bill McEvily & Vincenzo Perrone, 1998. "Does Trust Matter? Exploring the Effects of Interorganizational and Interpersonal Trust on Performance," Organization Science, INFORMS, vol. 9(2), pages 141-159, April.
    17. Rajagopal, 2014. "Organizations and Innovation," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 3, pages 58-86, Palgrave Macmillan.
    18. Rebecca R. Kehoe & Daniel Tzabbar, 2015. "Lighting the way or stealing the shine? An examination of the duality in star scientists' effects on firm innovative performance," Strategic Management Journal, Wiley Blackwell, vol. 36(5), pages 709-727, May.
    19. Srikanth Paruchuri, 2010. "Intraorganizational Networks, Interorganizational Networks, and the Impact of Central Inventors: A Longitudinal Study of Pharmaceutical Firms," Organization Science, INFORMS, vol. 21(1), pages 63-80, February.
    20. Srikanth Paruchuri & Atul Nerkar & Donald C. Hambrick, 2006. "Acquisition Integration and Productivity Losses in the Technical Core: Disruption of Inventors in Acquired Companies," Organization Science, INFORMS, vol. 17(5), pages 545-562, October.
    21. Pierre Azoulay & Joshua S. Graff Zivin & Jialan Wang, 2010. "Superstar Extinction," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 549-589.
    22. Ajay Agrawal & Rebecca Henderson, 2002. "Putting Patents in Context: Exploring Knowledge Transfer from MIT," Management Science, INFORMS, vol. 48(1), pages 44-60, January.
    23. Pierre Azoulay & Christian Fons-Rosen & Joshua S. Graff Zivin, 2019. "Does Science Advance One Funeral at a Time?," American Economic Review, American Economic Association, vol. 109(8), pages 2889-2920, August.
    24. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    25. Olav Sorenson & Jan W. Rivkin & Lee Fleming, 2010. "Complexity, Networks and Knowledge Flows," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 15, Edward Elgar Publishing.
    26. Agrawal, Ajay & McHale, John & Oettl, Alexander, 2017. "How stars matter: Recruiting and peer effects in evolutionary biology," Research Policy, Elsevier, vol. 46(4), pages 853-867.
    27. Kremena Slavova & Andrea Fosfuri & Julio O. De Castro, 2016. "Learning by Hiring: The Effects of Scientists’ Inbound Mobility on Research Performance in Academia," Organization Science, INFORMS, vol. 27(1), pages 72-89, February.
    28. Gurneeta Vasudeva & Akbar Zaheer & Exequiel Hernandez, 2013. "The Embeddedness of Networks: Institutions, Structural Holes, and Innovativeness in the Fuel Cell Industry," Organization Science, INFORMS, vol. 24(3), pages 645-663, June.
    29. Jasjit Singh & Lee Fleming, 2010. "Lone Inventors as Sources of Breakthroughs: Myth or Reality?," Management Science, INFORMS, vol. 56(1), pages 41-56, January.
    30. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    31. Rajat Khanna & Isin Guler & Atul Nerkar, 2018. "Entangled decisions: Knowledge interdependencies and terminations of patented inventions in the pharmaceutical industry," Strategic Management Journal, Wiley Blackwell, vol. 39(9), pages 2439-2465, September.
    32. Choi, Hoon-Seok & Thompson, Leigh, 2005. "Old wine in a new bottle: Impact of membership change on group creativity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 98(2), pages 121-132, November.
    33. Boris Groysberg & Linda-Eling Lee & Ashish Nanda, 2008. "Can They Take It With Them? The Portability of Star Knowledge Workers' Performance," Management Science, INFORMS, vol. 54(7), pages 1213-1230, July.
    34. Peter Moran, 2005. "Structural vs. relational embeddedness: social capital and managerial performance," Strategic Management Journal, Wiley Blackwell, vol. 26(12), pages 1129-1151, December.
    35. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    36. Ryuzo Furukawa & Akira Goto, 2006. "Core scientists and innovation in Japanese electronics companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(2), pages 227-240, August.
    37. Marco Tortoriello, 2015. "The social underpinnings of absorptive capacity: The moderating effects of structural holes on innovation generation based on external knowledge," Strategic Management Journal, Wiley Blackwell, vol. 36(4), pages 586-597, April.
    38. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    39. Jasjit Singh, 2005. "Collaborative Networks as Determinants of Knowledge Diffusion Patterns," Management Science, INFORMS, vol. 51(5), pages 756-770, May.
    40. Zucker, Lynne G & Darby, Michael R, 2001. "Capturing Technological Opportunity via Japan's Star Scientists: Evidence from Japanese Firms' Biotech Patents and Products," The Journal of Technology Transfer, Springer, vol. 26(1-2), pages 37-58, January.
    41. Yar M. Ebadi & James M. Utterback, 1984. "The Effects of Communication on Technological Innovation," Management Science, INFORMS, vol. 30(5), pages 572-585, May.
    42. Boris Groysberg & Linda-Eling Lee, 2009. "Hiring Stars and Their Colleagues: Exploration and Exploitation in Professional Service Firms," Organization Science, INFORMS, vol. 20(4), pages 740-758, August.
    43. Atul Nerkar & Srikanth Paruchuri, 2005. "Evolution of R&D Capabilities: The Role of Knowledge Networks Within a Firm," Management Science, INFORMS, vol. 51(5), pages 771-785, May.
    44. Michael L. Tushman & Ralph Katz, 1980. "External Communication and Project Performance: An Investigation into the Role of Gatekeepers," Management Science, INFORMS, vol. 26(11), pages 1071-1085, November.
    45. Zuo-Qi Ding & Jian-Ping Ge & Xiao-Ming Wu & Xiao-Nan Zheng, 2013. "Bibliometrics evaluation of research performance in pharmacology/pharmacy: China relative to ten representative countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 829-844, September.
    46. Alexander Oettl, 2012. "Reconceptualizing Stars: Scientist Helpfulness and Peer Performance," Management Science, INFORMS, vol. 58(6), pages 1122-1140, June.
    47. Cohen, Wesley M. & Goto, Akira & Nagata, Akiya & Nelson, Richard R. & Walsh, John P., 2002. "R&D spillovers, patents and the incentives to innovate in Japan and the United States," Research Policy, Elsevier, vol. 31(8-9), pages 1349-1367, December.
    48. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    49. Joel A. C. Baum & Bill McEvily & Tim J. Rowley, 2012. "Better with Age? Tie Longevity and the Performance Implications of Bridging and Closure," Organization Science, INFORMS, vol. 23(2), pages 529-546, April.
    50. Lewis, Kyle & Belliveau, Maura & Herndon, Benjamin & Keller, Joshua, 2007. "Group cognition, membership change, and performance: Investigating the benefits and detriments of collective knowledge," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(2), pages 159-178, July.
    51. Frank T. Rothaermel & Andrew M. Hess, 2007. "Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects," Organization Science, INFORMS, vol. 18(6), pages 898-921, December.
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    2. John McHale & Jason Harold & Jen-Chung Mei & Akhil Sasidharan & Anil Yadav, 2023. "Stars as catalysts: an event-study analysis of the impact of star-scientist recruitment on local research performance in a small open economy," Journal of Economic Geography, Oxford University Press, vol. 23(2), pages 343-369.
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    4. Yadav, Anil & McHale, John & O'Neill, Stephen, 2023. "How does co-authoring with a star affect scientists' productivity? Evidence from small open economies," Research Policy, Elsevier, vol. 52(1).
    5. Khanna, Rajat, 2023. "Passing the torch of knowledge: Star death, collaborative ties, and knowledge creation," Research Policy, Elsevier, vol. 52(1).

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    More about this item

    Keywords

    Star scientists; Coauthors; Collaboration network; Research productivity; Academic publications;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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