Metric-driven Decision Making

Metric-Driven Decision Making is a strategic decision-making paradigm that systematically prioritizes and validates actions based on quantitative performance metrics derived from empirical data, distinguishing it from intuition- or assumption-based approaches within organizational and growth contexts.

25

Publications

2.1K

Citations

70

Authors

45

Institutions

Publications per year

2017–2026

9

Authors

70

  1. JR
    John R. Hauser

    North Carolina State University, United States

    2 publications · 238 citations

    2

    h-index

  2. CR
    Catherine Robinson

    National Institute of Economic and Social Research, United Kingdom

    1 publications · 15 citations

    1

    h-index

  3. BJ
    Brian J. Irwin

    University of Georgia, United States

    1 publications · 11 citations

    1

    h-index

  4. JB
    Jorge Bornemann

    Met Office, United Kingdom

    1 publications · 35 citations

    1

    h-index

  5. RJ
    Ruholla Jafari-Marandi

    Mississippi State University, United States

    1 publications · 118 citations

    1

    h-index

1–5 of 70

Venues

  1. Information and Software Technology

    2 publications · 189 citations

    2

    h-index

  2. Research-Technology Management

    2 publications · 141 citations

    2

    h-index

  3. Climatic Change

    1 publications · 35 citations

    1

    h-index

  4. Journal of Systems and Software

    JSS · 1 publications · 25 citations

    1

    h-index

  5. Radio Electronics Computer Science Control

    1 publications · 32 citations

    1

    h-index

1–5