Extending Cross-Generational Knowledge Flow Research in Edge Organizations

Abstract

Today's organizations need to be adaptive and agile in order to deal with the rapidly changing environment and competitive pressures. Part of the challenge in doing so is examining the knowledge flows and knowledge gaps within the organizations, especially cross-generational knowledge flows. This paper is an extension of the authors' previous work in cross-generational knowledge flow research in edge organizations. Specifically, the current research is applying ontologies in this domain to then construct a survey instrument for application in two edge-like case organizations (one in the military and one in industry). Social/organizational network analysis is then used to gain insight into cross-generational knowledge flows in these organizations in order to recommend findings on the critical success factors needed to ensure positive cross-generational knowledge flows in edge organizations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA486906

Entities

People

  • Emil Ivanov
  • Jay Liebowitz

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Baby Boomers
  • Case Studies
  • Command And Control
  • Commerce
  • Demographic Cohorts
  • Engineering
  • Generation X
  • Information Systems
  • Knowledge Management
  • Millenials
  • Models
  • Ontologies
  • Social Networks
  • Software Development
  • Systems Engineering
  • War Colleges

Fields of Study

  • Computer science

Readers

  • Organizational Process Management (OPM).
  • Systems Analysis and Design