Knowledge Quality Dimensions

Knowledge Quality Dimensions is a conceptual framework that specifies the fundamental attributes used to evaluate the accuracy, completeness, consistency, and reliability of knowledge within knowledge management systems.

130

Publications

8.1K

Citations

307

Authors

176

Institutions

Publications per year

2017–2026

31

Authors

307

  1. ME
    Murray E. Jennex

    San Diego State University, United States

    4 publications · 140 citations

    4

    h-index

  2. MW
    Mehwish Waheed

    University of Malaya, Malaysia

    4 publications · 109 citations

    4

    h-index

  3. DC
    David Croasdell

    University of Nevada, Reno, United States

    3 publications · 78 citations

    3

    h-index

  4. KK
    Kiran Kaur

    University of Malaya, Malaysia

    3 publications · 88 citations

    3

    h-index

  5. SS
    Stefan Smolnik

    EBS University of Business and Law, Germany

    2 publications · 58 citations

    2

    h-index

1–5 of 307

Venues

  1. Journal of the Association for Information Systems

    JAIS · 3 publications · 121 citations

    3

    h-index

  2. Knowledge and Process Management

    3 publications · 97 citations

    3

    h-index

  3. Knowledge-Based Systems

    3 publications · 192 citations

    3

    h-index

  4. Expert Systems with Applications

    3 publications · 281 citations

    3

    h-index

  5. Information & Management

    3 publications · 751 citations

    3

    h-index

1–5