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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
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Theory of Attribution II: Kelley's Covariation Theory01:29

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Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
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How similar should collaborators be in inter-organizational learning: Optimal cognitive proximity and knowledge

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  • 1Technology Management, Economics, and Policy Program, Seoul National University, Seoul, South Korea.

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Summary

Knowledge complexity impacts collaborative innovation differently. High complexity favors more partners for volume but hinders quality by weakening the link between proximity and innovation outcomes.

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Area of Science:

  • Innovation Studies
  • Organizational Behavior
  • Intellectual Property Management

Background:

  • Effective knowledge exchange is vital for innovation in knowledge-intensive industries.
  • The interplay between cognitive proximity and collaborative innovation, especially in complex knowledge environments, requires further investigation.
  • Existing research suggests a non-linear, inverted U-shaped relationship between cognitive proximity and innovation, but the moderating role of knowledge complexity is unclear.

Purpose of the Study:

  • To examine how knowledge complexity moderates the relationship between cognitive proximity and collaborative innovation.
  • To differentiate the effects on collaboration volume versus collaboration quality.
  • To provide insights into partner selection strategies in complex innovation ecosystems.

Main Methods:

  • Analysis of over 650,000 U.S. biotechnology patents (1976-2024) from over 57,000 organizations.
  • Measurement of cognitive proximity using CPC-based Jaccard similarity.
  • Operationalization of knowledge complexity via a structural complexity framework based on knowledge combination networks.
  • Application of negative binomial regressions to analyze the data.

Main Results:

  • Knowledge complexity moderates the proximity-innovation relationship differently for collaboration volume and quality.
  • For collaboration volume, increased complexity shifts the optimal proximity rightward and flattens the inverted U-curve.
  • For collaboration quality, high complexity causes a leftward shift and a near-horizontal relationship, indicating a breakdown of the curvilinear effect.

Conclusions:

  • Cognitive proximity influences partner selection and innovation realization through distinct mechanisms, particularly under high knowledge complexity.
  • Absorptive capacity remains key in partnership decisions, but novelty generation disconnects from proximity effects as complexity rises.
  • Knowledge complexity acts as a structural moderator, refining proximity theory and informing strategic partner selection in advanced innovation.