Knowledge Redundancy

Knowledge Redundancy is a condition in knowledge management systems where multiple instances or representations of the same knowledge exist across individuals, teams, or repositories, thereby increasing inefficiency, inconsistency, and risk of conflicting knowledge application despite enhanced knowledge persistence.

40

Publications

6.9K

Citations

105

Authors

65

Institutions

Publications per year

2017–2026

7

Authors

105

  1. ME
    Manuel Expósito‐Langa

    Universitat Politècnica de València, Spain

    2 publications · 70 citations

    2

    h-index

  2. FX
    F. Xavier Molina‐Morales

    Universitat Jaume I, Spain

    2 publications · 70 citations

    2

    h-index

  3. TW
    Tsachy Weissman

    Stanford University, United States

    1 publications · 18 citations

    1

    h-index

  4. TC
    Timothy Chklovski

    University of Southern California, United States

    1 publications · 34 citations

    1

    h-index

  5. CM
    Christine Moorman

    Duke University, United States

    1 publications · 1K citations

    1

    h-index

1–5 of 105

Venues

  1. Automatica

    1 publications · 3.5K citations

    1

    h-index

  2. Technological Forecasting and Social Change

    1 publications · 117 citations

    1

    h-index

  3. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 1 publications · 17 citations

    1

    h-index

  4. Current Issues in Tourism

    1 publications · 13 citations

    1

    h-index

  5. ACM Transactions on Information Systems

    1 publications · 14 citations

    1

    h-index

1–5