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Sails and Anchors: The Complementarity of Exploratory and Exploitative Scientists in Knowledge Creation

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  • Pierre Pelletier
  • Kevin Wirtz

Abstract

This paper investigates the relationship between scientists' cognitive profile and their ability to generate innovative ideas and gain scientific recognition. We propose a novel author-level metric based on the semantic representation of researchers' past publications to measure cognitive diversity both at individual and team levels. Using PubMed Knowledge Graph (PKG), we analyze the impact of cognitive diversity on novelty, as measured by combinatorial novelty indicators and peer labels on Faculty Opinion. We assessed scientific impact through citations and disruption indicators. We show that the presence of exploratory individuals (i.e., cognitively diverse) is beneficial in generating distant knowledge combinations, but only when balanced by a significant proportion of exploitative individuals (i.e., cognitively specialized). Furthermore, teams with a high proportion of exploitative profiles tend to consolidate science, whereas those with a significant share of both profiles tend to disrupt it. Cognitive diversity between team members appears to be always beneficial to combining more distant knowledge. However, to maximize the relevance of these distant combinations of knowledge, maintaining a limited number of exploratory individuals is essential, as exploitative individuals must question and debate their novel perspectives. These specialized individuals are the most qualified to extract the full potential of novel ideas and integrate them within the existing scientific paradigm.

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  • Pierre Pelletier & Kevin Wirtz, 2023. "Sails and Anchors: The Complementarity of Exploratory and Exploitative Scientists in Knowledge Creation," Papers 2312.10476, arXiv.org.
  • Handle: RePEc:arx:papers:2312.10476
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    1. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    2. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    3. Joshua Ettinger & Friederike E. L. Otto & E. Lisa F. Schipper, 2021. "Storytelling can be a powerful tool for science," Nature, Nature, vol. 589(7842), pages 352-352, January.
    4. Milojević, Staša, 2015. "Quantifying the cognitive extent of science," Journal of Informetrics, Elsevier, vol. 9(4), pages 962-973.
    5. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
    6. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    7. Charles Ayoubi & Michele Pezzoni & Fabiana Visentin, 2021. "Does It Pay to Do Novel Science? The Selectivity Patterns in Science Funding," Science and Public Policy, Oxford University Press, vol. 48(5), pages 635-648.
    8. Johan S. G. Chu & James A. Evans, 2021. "Slowed canonical progress in large fields of science," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(41), pages 2021636118-, October.
    9. Chien Hsiang Liao, 2011. "How to improve research quality? Examining the impacts of collaboration intensity and member diversity in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 747-761, March.
    10. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    11. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    12. Ayoubi, Charles & Pezzoni, Michele & Visentin, Fabiana, 2017. "At the origins of learning: Absorbing knowledge flows from within the team," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 374-387.
    13. Shouhuai Xu & Moti Yung & Jingguo Wang, 2021. "Seeking Foundations for the Science of Cyber Security," Information Systems Frontiers, Springer, vol. 23(2), pages 263-267, April.
    14. Fontana, Magda & Iori, Martina & Montobbio, Fabio & Sinatra, Roberta, 2020. "New and atypical combinations: An assessment of novelty and interdisciplinarity," Research Policy, Elsevier, vol. 49(7).
    15. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Zhang, Lin, 2018. "A comparison of two approaches for measuring interdisciplinary research output: The disciplinary diversity of authors vs the disciplinary diversity of the reference list," Journal of Informetrics, Elsevier, vol. 12(4), pages 1182-1193.
    16. Jonathan Adams, 2013. "The fourth age of research," Nature, Nature, vol. 497(7451), pages 557-560, May.
    17. 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.
    18. Alexander M. Petersen & Mohammed E. Ahmed & Ioannis Pavlidis, 2021. "Grand challenges and emergent modes of convergence science," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    19. Witt, Ulrich, 2009. "Propositions about novelty," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 311-320, May.
    20. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    21. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    22. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    23. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
    24. Bernardo Mueller, 2019. "The building blocks of creativity and new ideas," RAUSP Management Journal, Emerald Group Publishing Limited, vol. 54(2), pages 242-246, March.
    25. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.
    26. Alexander M. Petersen & Mohammed E. Ahmed & Ioannis Pavlidis, 2021. "Grand challenges and emergent modes of convergence science," Papers 2103.11547, arXiv.org.
    27. Lars Bo Jeppesen & Karim R. Lakhani, 2010. "Marginality and Problem-Solving Effectiveness in Broadcast Search," Organization Science, INFORMS, vol. 21(5), pages 1016-1033, October.
    28. Tobias Koopmann & Maximilian Stubbemann & Matthias Kapa & Michael Paris & Guido Buenstorf & Tom Hanika & Andreas Hotho & Robert Jäschke & Gerd Stumme, 2021. "Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9847-9868, December.
    29. Kevin J. Boudreau & Eva C. Guinan & Karim R. Lakhani & Christoph Riedl, 2016. "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science," Management Science, INFORMS, vol. 62(10), pages 2765-2783, October.
    30. Michaël Bikard & Fiona Murray & Joshua S. Gans, 2015. "Exploring Trade-offs in the Organization of Scientific Work: Collaboration and Scientific Reward," Management Science, INFORMS, vol. 61(7), pages 1473-1495, July.
    31. Abhay S. D. Rajput & Sangeeta Sharma, 2021. "India: draft science policy calls for public engagement," Nature, Nature, vol. 592(7852), pages 26-26, April.
    32. Wu, Lingfei & Kittur, Aniket & Youn, Hyejin & Milojević, Staša & Leahey, Erin & Fiore, Stephen M. & Ahn, Yong-Yeol, 2022. "Metrics and mechanisms: Measuring the unmeasurable in the science of science," Journal of Informetrics, Elsevier, vol. 16(2).
    33. Jean J. Wang & Sarah X. Shao & Fred Y. Ye, 2021. "Identifying 'seed' papers in sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6001-6011, July.
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