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Using Work Context and Levels of Expertise to Foster Person-to-Person Knowledge Exchange: A Concept for Connecting Knowledge Workers Based on (Socio-) Psychological Theories

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Knowledge within organizations is increasingly distributed, which raises the challenge to connect the right individuals for knowledge exchange. This contribution analyzes this challenge and proposes a concept to connect the right individuals. We first investigate relevant theoretical models namely transactive memory theory, social capital theory for knowledge exchange and a model based on socio-motivational and problem solving theory to find relevant constructs. We then analyze the relevant state-of-the-art to find that all approaches have some limitations with respect to the theoretical models. Our proposed solution builds on task histories for the matching, and we show how it can be used to determine contextual overlap and level of expertise. We then describe a case study in which our concept was employed in a three month timeframe with 93 individuals. A survey after the case study showed that our assumptions concerning the relevance and benefit of context overlap are substantiated.

Original languageEnglish
Title of host publicationKnowledge Discovery, Knowledge Engineering and Knowledge Management
Subtitle of host publicationThird International Joint Conference, IC3K 2011 Paris, France, October 26-29, 2011 Revised Selected Papers
PublisherSpringer Verlag
Pages440-454
Number of pages15
ISBN (Print)9783642371851
DOIs
StatePublished - 2013

Publication series

NameCommunications in Computer and Information Science
Volume348
ISSN (Print)1865-0929

Keywords

  • Cognitive Motivation Theory
  • Expert Mediation
  • Expert Recommendation
  • Knowledge Networks
  • Person-to-Person Knowledge Exchange
  • Problem Solving Theory
  • Social Capital Theory
  • Transactive Memory Systems
  • Yellow Page Systems

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