Model-driven Decision Support

Model-Driven Decision Support is a decision support approach that belongs to the class of knowledge-based systems in which the primary mechanism for generating recommendations or insights is a formal, often computational, model that simulates, optimizes, or analyzes decision scenarios based on defined parameters and assumptions, distinguishing it from data-driven or document-driven approaches by its reliance on explicit structural models rather than raw data patterns or textual information.

301

Publications

15.9K

Citations

870

Authors

433

Institutions

Publications per year

2017–2026

95

Authors

870

  1. DP
    Daniel Power

    University of Northern Iowa, United States

    4 publications · 703 citations

    4

    h-index

  2. TH
    Taehoon Hong

    Yonsei University, South Korea

    4 publications · 214 citations

    4

    h-index

  3. JD
    John D. C. Little

    Massachusetts Institute of Technology, United States

    4 publications · 2K citations

    4

    h-index

  4. RL
    R. L. McCown

    Commonwealth Scientific and Industrial Research Organisation, Australia

    4 publications · 398 citations

    4

    h-index

  5. ND
    Neal Dalgliesh

    Commonwealth Scientific and Industrial Research Organisation, Australia

    4 publications · 398 citations

    4

    h-index

1–5 of 870

Venues

  1. Decision Support Systems

    23 publications · 1.2K citations

    17

    h-index

  2. Expert Systems with Applications

    7 publications · 201 citations

    8

    h-index

  3. European Journal of Operational Research

    7 publications · 311 citations

    7

    h-index

  4. Environmental Modelling & Software

    6 publications · 649 citations

    6

    h-index

  5. Journal of Management Information Systems

    JMIS · 5 publications · 149 citations

    5

    h-index

1–5