Exception Metrics

Exception Metrics is a quantitative measurement framework within change exception management that systematically characterizes the frequency, impact, resolution efficiency, and deviation severity of exceptions arising during planned organizational or system changes.

7

Publications

170

Citations

18

Authors

10

Institutions

Publications per year

2017–2026

0

Authors

18

  1. HF
    Houston F. Lester

    Baylor College of Medicine, United States

    1 publications · 43 citations

    1

    h-index

  2. MM
    Markku Markkanen

    University of Oulu, Finland

    1 publications · 11 citations

    1

    h-index

  3. EK
    Evangelos Kontopantelis

    University of Manchester, United Kingdom

    1 publications · 43 citations

    1

    h-index

  4. TD
    T. Doran

    University of Manchester, United Kingdom

    1 publications · 43 citations

    1

    h-index

  5. JG
    John G. Hughes

    University of Ulster, United Kingdom

    1 publications · 13 citations

    1

    h-index

1–5 of 18

Venues

  1. International Journal of Forecasting

    1 publications · 50 citations

    1

    h-index

  2. BMJ

    1 publications · 43 citations

    1

    h-index

  3. Science of Computer Programming

    1 publications · 12 citations

    1

    h-index

  4. Data Mining and Knowledge Discovery

    1 publications · 28 citations

    1

    h-index

  5. National Conference on Artificial Intelligence

    Conference · 1 publications · 13 citations

    1

    h-index

1–5