Ill-structured Problem Identification

Ill-Structured Problem Identification is a systematic academic approach that belongs to the class of problem identification methodologies and is distinguished by its focus on recognizing, articulating, and framing complex problems characterized by ambiguous boundaries, incomplete or conflicting information, multiple stakeholder perspectives, and the absence of a clear, canonical solution path.

86

Publications

9.9K

Citations

185

Authors

97

Institutions

Publications per year

2017–2026

14

Authors

185

  1. JM
    John McDermott

    Carnegie Mellon University, United States

    3 publications · 61 citations

    3

    h-index

  2. CC
    Ching‐Huei Chen

    National Changhua University of Education, Taiwan

    2 publications · 145 citations

    2

    h-index

  3. MB
    Min Basadur

    McMaster University, Canada

    2 publications · 95 citations

    2

    h-index

  4. ÉG
    Élizabeth G. Cohen

    Stanford University, United States

    2 publications · 2.2K citations

    2

    h-index

  5. JP
    Jorge Pérez

    Universidad Politécnica de Madrid, Spain

    1 publications · 13 citations

    1

    h-index

1–5 of 185

Venues

  1. International Journal of Production Research

    3 publications · 125 citations

    3

    h-index

  2. Omega

    2 publications · 95 citations

    2

    h-index

  3. 2

    h-index

  4. The Journal of Applied Behavioral Science

    JABS · 2 publications · 91 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 36 citations

    2

    h-index

1–5