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When Do Expert Teams Fail to Create Impactful Inventions?

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  • Simon J. D. Schillebeeckx
  • Yimin Lin
  • Gerard George

Abstract

We investigate the salience of expertise in creating high impact inventions and question experts’ ability to deploy novel ideas. Specifically, we examine the relationships between expertise, component originality, and a team's structural holes’ position in the collaborative network and propose that, in relative terms, expert teams create lower impact inventions if they deploy more original components and if they occupy structural holes. We test and confirm our hypotheses in a sample of semiconductor firms. In post‐hoc analyses, we find a three‐way interaction where the negative effect of structural holes almost disappears when an expert team experiments with original components whereas an increase in non‐redundancy is detrimental when teams with high expertise use familiar components. Our findings inform a foundational view of the invention process and provide novel insights into the contingent benefits of domain expertise.

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  • Simon J. D. Schillebeeckx & Yimin Lin & Gerard George, 2019. "When Do Expert Teams Fail to Create Impactful Inventions?," Journal of Management Studies, Wiley Blackwell, vol. 56(6), pages 1073-1104, September.
    • Handle: RePEc:bla:jomstd:v:56:y:2019:i:6:p:1073-1104
    DOI: 10.1111/joms.12447
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    Cited by:

    1. Lingling Qin & Sunny Li Sun, 2024. "Knowledge Collaboration in Global Value Chains: A Comparison of Supplier Selection between a Forerunner and a Latecomer," Asia Pacific Journal of Management, Springer, vol. 41(1), pages 51-79, March.
    2. Resch, Christian & Kock, Alexander, 2021. "The influence of information depth and information breadth on brokers’ idea newness in online maker communities," Research Policy, Elsevier, vol. 50(8).
    3. Gerard George & Karim R. Lakhani & Phanish Puranam, 2020. "What has changed? The Impact of Covid Pandemic on the Technology and Innovation Management Research Agenda," Journal of Management Studies, Wiley Blackwell, vol. 57(8), pages 1754-1758, December.
    4. Mark Bukowski & Sandra Geisler & Thomas Schmitz-Rode & Robert Farkas, 2020. "Feasibility of activity-based expert profiling using text mining of scientific publications and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 579-620, May.
    5. Goossen, Martin C. & Paruchuri, Srikanth, 2022. "Measurement errors and estimation biases with incomplete social networks: replication studies on intra-firm inventor network analysis," Research Policy, Elsevier, vol. 51(1).
    6. Antretter, Torben & Sirén, Charlotta & Grichnik, Dietmar & Wincent, Joakim, 2020. "Should business angels diversify their investment portfolios to achieve higher performance? The role of knowledge access through co-investment networks," Journal of Business Venturing, Elsevier, vol. 35(5).
    7. Khanna, Rajat, 2023. "Passing the torch of knowledge: Star death, collaborative ties, and knowledge creation," Research Policy, Elsevier, vol. 52(1).
    8. Lin, Runhui & Lu, Yanhong & Zhou, Cheng & Li, Biting, 2022. "Rethinking individual technological innovation: Cooperation network stability and the contingent effect of knowledge network attributes," Journal of Business Research, Elsevier, vol. 144(C), pages 366-376.

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