Complexity Under Uncertainty

Complexity Under Uncertainty is a theoretical framework within leadership decision-making that characterizes the intricate interplay of multiple interdependent variables and unpredictable outcomes in high-stakes environments, distinguishing it from simpler models of decision-making by emphasizing dynamic nonlinearity, incomplete information, and emergent challenges.

111

Publications

7.8K

Citations

213

Authors

134

Institutions

Publications per year

2017–2026

23

Authors

213

  1. CH
    Christoph H. Loch

    INSEAD, France

    2 publications · 1.3K citations

    2

    h-index

  2. SF
    Silvio Funtowicz

    Joint Research Centre, Italy

    2 publications · 396 citations

    2

    h-index

  3. EK
    Erik‐Hans Klijn

    Erasmus University Rotterdam, Netherlands

    2 publications · 104 citations

    2

    h-index

  4. DM
    Danny Miller

    HEC Montréal, Canada

    1 publications · 33 citations

    1

    h-index

  5. JG
    Joana Geraldi

    Copenhagen Business School, Denmark

    1 publications · 534 citations

    1

    h-index

1–5 of 213

Venues

  1. International Journal of Project Management

    3 publications · 427 citations

    3

    h-index

  2. Management Science

    3 publications · 1.4K citations

    3

    h-index

  3. Risk Management

    2 publications · 36 citations

    2

    h-index

  4. Environmental Toxicology and Chemistry

    2 publications · 396 citations

    2

    h-index

  5. JONA The Journal of Nursing Administration

    JNA · 2 publications · 86 citations

    2

    h-index

1–5