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Ideas with impact: How connectivity shapes idea diffusion

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  • Deichmann, Dirk
  • Moser, Christine
  • Birkholz, Julie M.
  • Nerghes, Adina
  • Groenewegen, Peter
  • Wang, Shenghui

Abstract

Despite a growing body of research on idea diffusion, there is a lack of knowledge on why some ideas successfully diffuse and stand out from the crowd while others do not surface or remain unnoticed. We address this question by looking into the characteristics of an idea, specifically its connectivity in a content network. In a content network, ideas connect to other ideas through their content—the words that the ideas have in common. We hypothesize that a high connectivity of an idea in a content network is beneficial for idea diffusion because this idea will more likely be conceived as novel yet at the same time also as more useful because it appears as more familiar to the audience. Moreover, we posit that a high social connectivity of the team working on the idea further enhances the effect of high content connectivity on idea diffusion. Our study focuses on academic conference publications and the co-authorship data of a community of computer science researchers from 2006 to 2012. We find confirmation for our hypotheses and discuss the implications of these findings.

Suggested Citation

  • Deichmann, Dirk & Moser, Christine & Birkholz, Julie M. & Nerghes, Adina & Groenewegen, Peter & Wang, Shenghui, 2020. "Ideas with impact: How connectivity shapes idea diffusion," Research Policy, Elsevier, vol. 49(1).
  • Handle: RePEc:eee:respol:v:49:y:2020:i:1:s0048733319302008
    DOI: 10.1016/j.respol.2019.103881
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    1. Tal Garber & Jacob Goldenberg & Barak Libai & Eitan Muller, 2004. "From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success," Marketing Science, INFORMS, vol. 23(3), pages 419-428, August.
    2. Boschma, Ron & Heimeriks, Gaston & Balland, Pierre-Alexandre, 2014. "Scientific knowledge dynamics and relatedness in biotech cities," Research Policy, Elsevier, vol. 43(1), pages 107-114.
    3. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    4. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    5. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    6. Trapido, Denis, 2015. "How novelty in knowledge earns recognition: The role of consistent identities," Research Policy, Elsevier, vol. 44(8), pages 1488-1500.
    7. 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.
    8. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
    9. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
    10. Sorenson, Olav & Fleming, Lee, 2004. "Science and the diffusion of knowledge," Research Policy, Elsevier, vol. 33(10), pages 1615-1634, December.
    11. Eric Abrahamson & Lori Rosenkopf, 1997. "Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation," Organization Science, INFORMS, vol. 8(3), pages 289-309, June.
    12. Gaston Heimeriks & Pierre-Alexandre Balland, 2016. "How smart is specialisation? An analysis of specialisation patterns in knowledge production," Science and Public Policy, Oxford University Press, vol. 43(4), pages 562-574.
    13. Magerman, Tom & Looy, Bart Van & Debackere, Koenraad, 2015. "Does involvement in patenting jeopardize one’s academic footprint? An analysis of patent-paper pairs in biotechnology," Research Policy, Elsevier, vol. 44(9), pages 1702-1713.
    14. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    15. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    16. Maarten Wesel & Sally Wyatt & Jeroen Haaf, 2014. "What a difference a colon makes: how superficial factors influence subsequent citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1601-1615, March.
    17. Jill E. Perry-Smith & Christina E. Shalley, 2014. "A Social Composition View of Team Creativity: The Role of Member Nationality-Heterogeneous Ties Outside of the Team," Organization Science, INFORMS, vol. 25(5), pages 1434-1452, October.
    18. Fischer, Timo & Henkel, Joachim, 2012. "Patent trolls on markets for technology – An empirical analysis of NPEs’ patent acquisitions," Research Policy, Elsevier, vol. 41(9), pages 1519-1533.
    19. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    20. Jacob Goldenberg & Donald R. Lehmann & David Mazursky, 2001. "The Idea Itself and the Circumstances of Its Emergence as Predictors of New Product Success," Management Science, INFORMS, vol. 47(1), pages 69-84, January.
    21. Judit Bar-Ilan, 2010. "Web of Science with the Conference Proceedings Citation Indexes: the case of computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 809-824, June.
    22. Dirk Deichmann & Jan van den Ende, 2014. "Rising from Failure and Learning from Success: The Role of Past Experience in Radical Initiative Taking," Organization Science, INFORMS, vol. 25(3), pages 670-690, June.
    23. 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.
    24. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.
    25. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    26. César Hidalgo & Pierre-Alexandre Balland & Ron Boschma & Mercedes Delgado & Maryann Feldma & Koen Frenken & Edward Glaeser & Canfei He & Dieter F. Kogler & Andrea Morrison & Frank Neffke & David Rigby, 2018. "The Principle of Relatedness," Papers in Evolutionary Economic Geography (PEEG) 1830, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2018.
    27. Carla Taramasco & Jean-Philippe Cointet & Camille Roth, 2010. "Academic team formation as evolving hypergraphs," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 721-740, December.
    28. Mats Alvesson & Jörgen Sandberg, 2013. "Has Management Studies Lost Its Way? Ideas for More Imaginative and Innovative Research," Journal of Management Studies, Wiley Blackwell, vol. 50(1), pages 128-152, January.
    29. Dirk Deichmann & Michael Jensen, 2018. "I can do that alone…or not? How idea generators juggle between the pros and cons of teamwork," Strategic Management Journal, Wiley Blackwell, vol. 39(2), pages 458-475, February.
    30. Peter Mika & Tom Elfring & Peter Groenewegen, 2006. "Application of semantic technology for social network analysis in the sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 3-27, July.
    31. Battisti, Giuliana & Iona, Alfonsina, 2009. "The intra-firm diffusion of complementary innovations: Evidence from the adoption of management practices by British establishments," Research Policy, Elsevier, vol. 38(8), pages 1326-1339, October.
    32. Rik Pieters & Luk Warlop & Michel Wedel, 2002. "Breaking Through the Clutter: Benefits of Advertisement Originality and Familiarity for Brand Attention and Memory," Management Science, INFORMS, vol. 48(6), pages 765-781, June.
    33. Balconi, Margherita & Breschi, Stefano & Lissoni, Francesco, 2004. "Networks of inventors and the role of academia: an exploration of Italian patent data," Research Policy, Elsevier, vol. 33(1), pages 127-145, January.
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