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

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 f...

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Detalles Bibliográficos
Autores principales: Lane, Jacqueline N., Ganguli, Ina, Gaule, Patrick, Guinan, Eva, Lakhani, Karim R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8297436/
https://www.ncbi.nlm.nih.gov/pubmed/34326562
http://dx.doi.org/10.1002/smj.3256
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author Lane, Jacqueline N.
Ganguli, Ina
Gaule, Patrick
Guinan, Eva
Lakhani, Karim R.
author_facet Lane, Jacqueline N.
Ganguli, Ina
Gaule, Patrick
Guinan, Eva
Lakhani, Karim R.
author_sort Lane, Jacqueline N.
collection PubMed
description 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.
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spelling pubmed-82974362021-07-27 Engineering serendipity: When does knowledge sharing lead to knowledge production? Lane, Jacqueline N. Ganguli, Ina Gaule, Patrick Guinan, Eva Lakhani, Karim R. Strateg Manag J Research Articles 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. John Wiley & Sons, Ltd. 2020-11-24 2021-06 /pmc/articles/PMC8297436/ /pubmed/34326562 http://dx.doi.org/10.1002/smj.3256 Text en © 2020 The Authors. Strategic Management Journal published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Lane, Jacqueline N.
Ganguli, Ina
Gaule, Patrick
Guinan, Eva
Lakhani, Karim R.
Engineering serendipity: When does knowledge sharing lead to knowledge production?
title Engineering serendipity: When does knowledge sharing lead to knowledge production?
title_full Engineering serendipity: When does knowledge sharing lead to knowledge production?
title_fullStr Engineering serendipity: When does knowledge sharing lead to knowledge production?
title_full_unstemmed Engineering serendipity: When does knowledge sharing lead to knowledge production?
title_short Engineering serendipity: When does knowledge sharing lead to knowledge production?
title_sort engineering serendipity: when does knowledge sharing lead to knowledge production?
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8297436/
https://www.ncbi.nlm.nih.gov/pubmed/34326562
http://dx.doi.org/10.1002/smj.3256
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