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Engineering serendipity: When does knowledge sharing lead to knowledge production?

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  • Jacqueline N. Lane
  • Ina Ganguli
  • Patrick Gaule
  • Eva Guinan
  • Karim R. Lakhani

Abstract

Research Summary We investigate how knowledge similarity between two individuals is systematically related to the likelihood that a serendipitous encounter results in knowledge production. We conduct a field experiment at a medical research symposium, where we exogenously varied opportunities for face‐to‐face encounters among 15,817 scientist‐pairs. Our data include direct observations of interaction patterns collected using sociometric badges, and detailed, longitudinal data of the scientists' postsymposium publication records over 6 years. We find that interacting scientists acquire more knowledge and coauthor 1.2 more papers when they share some overlapping interests, but cite each other's work between three and seven times less when they are from the same field. Our findings reveal both collaborative and competitive effects of knowledge similarity on knowledge production outcomes. Managerial Summary Managers often try to stimulate innovation by encouraging serendipitous interactions between employees, for example by using office space redesigns, conferences and similar events. Are such interventions effective? This article proposes that an effective encounter depends on the degree of common knowledge shared by the individuals. We find that scientists who attend the same conference are more likely to learn from each other and collaborate effectively when they have some common interests, but may view each other competitively when they work in the same field. Hence, when designing opportunities for face‐to‐face interactions, managers should consider knowledge similarity as a criteria for fostering more productive exchanges.

Suggested Citation

  • Jacqueline N. Lane & Ina Ganguli & Patrick Gaule & Eva Guinan & Karim R. Lakhani, 2021. "Engineering serendipity: When does knowledge sharing lead to knowledge production?," Strategic Management Journal, Wiley Blackwell, vol. 42(6), pages 1215-1244, June.
  • Handle: RePEc:bla:stratm:v:42:y:2021:i:6:p:1215-1244
    DOI: 10.1002/smj.3256
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    3. James, Steffan & Liu, Zheng & Stephens, Victoria & White, Gareth R.T., 2022. "Innovation in crisis: The role of ‘exaptive relations’ for medical device development in response to COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    4. Belik, Ivan & Knudsen, Eirik Sjåholm, 2023. "Link on, Link off: Data-driven management of organizational networks for ambidexterity," Journal of Business Research, Elsevier, vol. 157(C).
    5. Seolmin Yang & So Young Kim, 2023. "Knowledge-integrated research is more disruptive when supported by homogeneous funding sources: a case of US federally funded research in biomedical and life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3257-3282, June.
    6. Ethan Gifford & Daniel Ljungberg & Maureen McKelvey, 2022. "Innovating in knowledge-intensive entrepreneurial firms: exploring the effects of a variety of internal and external knowledge sources on goods and service innovations [Advancing knowledge-intensiv," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(5), pages 1259-1284.
    7. Chollet, Barthélemy & Revet, Karine, 2023. "Digging deep or scratching the surface? Contingent innovation outcomes of seeking advice from geographically distant ties," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

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