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How do men and women differ in research collaborations? An analysis of the collaborative motives and strategies of academic researchers

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  • Bozeman, Barry
  • Gaughan, Monica

Abstract

Do men and women academic faculty vary in their research collaboration patterns and strategies? This straightforward question does not lend itself to a straightforward answer. A great many sex-correlated variables could possibly mitigate the relationship of sex and collaboration. If one finds sex-correlated differences in the number of collaborators, can one infer that there is something intrinsic to men's and women's work strategies and preferences? Or would such differences owe instead to women's and men's different positions in work structures and hierarchies? The focus here is on two sets of research collaboration variables, numbers of collaborators and the collaboration strategies employed. The study uses questionnaire data from the U.S. National Survey of Academic Scientists (n=1714) and tests several hypotheses about collaboration numbers and strategies. Regression results indicate, counter to the core hypotheses and almost all published literature, that in a properly specified model, one taking into account such factors as tenure, discipline, family status and doctoral cohort, women actually have somewhat more collaborators on average than do men. For both men and women, those with more industrial interactions and those affiliated with university research centers have more collaborators. Men and women differ in their collaborator choice strategies. Men are more likely to be oriented to “instrumental,” and “experience” strategies, while both men and women are motivated by “mentoring” strategies. Regression analyses show that for both men and women, having a coherent collaborator choice strategy predicts the number of collaborators.

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Bibliographic Info

Article provided by Elsevier in its journal Research Policy.

Volume (Year): 40 (2011)
Issue (Month): 10 ()
Pages: 1393-1402

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Handle: RePEc:eee:respol:v:40:y:2011:i:10:p:1393-1402

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Web page: http://www.elsevier.com/locate/respol

Related research

Keywords: Research collaboration; Gender; Sex; Researcher strategy; Academic research;

References

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  1. Boardman, P. Craig & Corley, Elizabeth A., 2008. "University research centers and the composition of research collaborations," Research Policy, Elsevier, vol. 37(5), pages 900-913, June.
  2. Melin, Goran, 2000. "Pragmatism and self-organization: Research collaboration on the individual level," Research Policy, Elsevier, vol. 29(1), pages 31-40, January.
  3. Link, Albert N. & Swann, Christopher A. & Bozeman, Barry, 2008. "A time allocation study of university faculty," Economics of Education Review, Elsevier, vol. 27(4), pages 363-374, August.
  4. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
  5. Heinze, Thomas & Bauer, Gerrit, 2006. "Characterizing creative scientists in nano S & T : productivity, multidisciplinarity, and network brokerage in a longitudinal perspective," Discussion Papers "Innovation Systems and Policy Analysis" 11, Fraunhofer Institute for Systems and Innovation Research (ISI).
  6. Monica Gaughan & Branco Ponomariov, 2008. "Faculty publication productivity, collaboration, and grants velocity: using curricula vitae to compare center-affiliated and unaffiliated scientists," Research Evaluation, Oxford University Press, vol. 17(2), pages 103-110, June.
  7. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
  8. Bozeman, Barry & Gaughan, Monica, 2007. "Impacts of grants and contracts on academic researchers' interactions with industry," Research Policy, Elsevier, vol. 36(5), pages 694-707, June.
  9. Min-Wei Lin & Barry Bozeman, 2006. "Researchers’ Industry Experience and Productivity in University–Industry Research Centers: A “Scientific and Technical Human Capital” Explanation," The Journal of Technology Transfer, Springer, vol. 31(2), pages 269-290, 03.
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Cited by:
  1. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2013. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," CEPR Discussion Papers 9777, C.E.P.R. Discussion Papers.
  2. Hanna Hottenrott & Cornelia Lawson, 2014. "Research grants, sources of ideas and the effects on academic research," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(2), pages 109-133, March.
  3. Bernhard Dachs & Bernd Ebersberger, 2013. "The Effects of Production Offshoring on R&D and Innovation in the Home Country," FIW Research Reports series V-001, FIW.
  4. Ruslan Rakhmatullin & Louis Brennan, 2014. "Motivation Behind Researchers’ Participation in Formal Networking Research Projects Funded by the European Union," Journal of the Knowledge Economy, Springer, vol. 5(2), pages 305-329, June.
  5. Lettice, Fiona & Smart, Palie & Baruch, Yehuda & Johnson, Mark, 2012. "Navigating the impact-innovation double hurdle: The case of a climate change research fund," Research Policy, Elsevier, vol. 41(6), pages 1048-1057.
  6. Schuelke-Leech, Beth-Anne, 2013. "Resources and research: An empirical study of the influence of departmental research resources on individual STEM researchers involvement with industry," Research Policy, Elsevier, vol. 42(9), pages 1667-1678.
  7. Brooks, Chris & Fenton, Evelyn M. & Walker, James T., 2014. "Gender and the evaluation of research," Research Policy, Elsevier, vol. 43(6), pages 990-1001.
  8. Herstad, Sverre J. & Aslesen, Heidi Wiig & Ebersberger, Bernd, 2014. "On industrial knowledge bases, commercial opportunities and global innovation network linkages," Research Policy, Elsevier, vol. 43(3), pages 495-504.

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