Borgatti and Rob Cross 2003

A Relational View of Information Seeking and Learning in Social Networks Author(s): Stephen P. Borgatti and Rob Cross Introduction Influencing Information Seeking Methods Results Discussion and Conclusion


A Relational View of Information Seeking and Learning in Social Networks Author(s): Stephen P. Borgatti and Rob Cross

Introduction

  • The research highlights a significant gap in organizational learning literature, which has primarily focused on cognitive and behavioral aspects, neglecting the role of social relationships in learning processes.
  • The authors propose a social network perspective to enhance understanding of both individual and collective learning, emphasizing the importance of relational characteristics over mere structural properties of networks.
  • The study aims to develop a model that connects learned relational characteristics to information-seeking behavior, supported by empirical results from two organizations.

Influencing Information Seeking

  • The paper discusses how social ties, particularly homophily and physical proximity, influence information-seeking behavior, with weak ties often bridging gaps to new information.
  • It introduces a dynamic choice process for information seeking, where the decision is influenced by the perceived expertise, accessibility, and associated costs of seeking information from others.
  • The authors hypothesize that knowing another’s expertise, valuing their knowledge, and perceiving low costs will positively affect the likelihood of seeking information from them.

Methods

  • The study involved two groups from different pharmaceutical organizations, utilizing surveys to gather data on relational variables affecting information seeking.
  • A unique approach was taken to measure information-seeking behavior by averaging self-reported data on how often individuals sought information from each other.
  • The analysis employed advanced statistical techniques to account for the interdependent nature of network data, ensuring robust results.

Results

  • The findings reveal strong correlations between knowing, valuing, and accessing expertise with information-seeking behavior, while the cost factor did not show significant influence.
  • Mediation analysis confirmed that knowing and access relations mediate the effect of physical proximity on information seeking, indicating the importance of relational dynamics.
  • The results were consistent across both groups, reinforcing the reliability of the constructs and the proposed model.

Discussion and Conclusion

  • The study underscores the importance of relational characteristics in facilitating information seeking, suggesting that knowing, valuing, and access are critical predictors.
  • Limitations include the cross-sectional nature of the data, which restricts causal inferences, and the need for further exploration of moderating factors like organizational culture.
  • The authors propose that future research should integrate relational attributes into models of absorptive capacity and path dependence, offering practical implications for enhancing organizational learning through targeted interventions

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