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Updated: Oct 26, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Engineering serendipity: When does knowledge sharing lead to knowledge production?

Jacqueline N Lane1, Ina Ganguli2, Patrick Gaule3

  • 1Laboratory for Innovation Science at Harvard Harvard Business School Boston Massachusetts USA.

Strategic Management Journal
|July 30, 2021
PubMed
Summary
This summary is machine-generated.

Knowledge similarity boosts collaboration and knowledge acquisition from serendipitous encounters. However, scientists in the same field may compete, citing each other less frequently. This impacts knowledge production outcomes.

Keywords:
innovationknowledge productionknowledge sharingknowledge similaritynatural field experiment

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Area of Science:

  • Social Sciences
  • Information Science
  • Organizational Behavior

Background:

  • Managers promote innovation via serendipitous interactions.
  • Effectiveness of these interventions depends on shared knowledge.

Purpose of the Study:

  • Investigate the relationship between knowledge similarity and knowledge production from serendipitous encounters.
  • Examine collaborative and competitive effects of knowledge similarity on scientific output.

Main Methods:

  • Field experiment at a medical research symposium with 15,817 scientist-pairs.
  • Used sociometric badges for interaction data and longitudinal publication records (6 years).

Main Results:

  • Interacting scientists with overlapping interests coauthored 1.2 more papers.
  • Scientists from the same field cited each other 3-7 times less.
  • Knowledge similarity showed both collaborative and competitive effects.

Conclusions:

  • Knowledge similarity fosters learning and collaboration.
  • High similarity within the same field can lead to competition.
  • Managers should consider knowledge similarity when designing interaction opportunities for innovation.