Controlled Performance Trade-offs

Controlled Performance Trade-Offs is a methodological framework within the domain of graceful degradation that systematically prioritizes and manages the reduction in system functionality or accuracy under resource constraints by deliberately balancing performance losses against operational requirements to maintain acceptable behavior.

8

Publications

228

Citations

21

Authors

11

Institutions

Publications per year

2017–2026

3

Authors

21

  1. FR
    Frank Richter

    Friedrich Schiller University Jena, Germany

    2 publications · 86 citations

    2

    h-index

  2. VH
    Volker Herrmann

    McKinsey & Company (United States), United States

    2 publications · 86 citations

    2

    h-index

  3. NS
    Nam Sung Kim

    University of Illinois Urbana-Champaign, United States

    1 publications · 21 citations

    1

    h-index

  4. QZ
    Qian Zhang

    Harbin Institute of Technology, China

    1 publications · 21 citations

    1

    h-index

  5. TW
    Ting Wang

    Institute of Agricultural Resources and Regional Planning, China

    1 publications · 21 citations

    1

    h-index

1–5 of 21

Venues

  1. Deep Blue (University of Michigan)

    Repository · 1 publications · 11 citations

    1

    h-index

  2. Schmalenbach Business Review

    1 publications · 76 citations

    1

    h-index

  3. VBN Forskningsportal (Aalborg Universitet)

    Repository · 1 publications · 16 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of the Association for Information Systems

    JAIS · 1 publications · 26 citations

    1

    h-index

1–5