Data-driven Decision Making

Data-Driven Decision Making is a strategic decision-making process that relies on the systematic collection, analysis, and interpretation of quantitative and qualitative data to guide organizational actions and choices, distinguishing itself from intuition-based or heuristic approaches by prioritizing empirical evidence derived from digital systems, analytics platforms, and real-time information flows.

2.2K

Publications

151.1K

Citations

5.6K

Authors

1.9K

Institutions

Publications per year

2017–2026

1.2K

Variants

Data-driven Decision-makingDddm

Authors

5.6K

  1. KS
    Kim Schildkamp

    University of Twente, Netherlands

    11 publications · 1.1K citations

    11

    h-index

  2. LC
    Longbing Cao

    University of Technology Sydney, Australia

    9 publications · 560 citations

    9

    h-index

  3. MG
    Maryam Ghasemaghaei

    McMaster University, Canada

    9 publications · 1.5K citations

    9

    h-index

  4. HH
    Helena Holmström Olsson

    Chalmers University of Technology, Sweden

    7 publications · 385 citations

    7

    h-index

  5. FP
    Foster Provost

    New York University, United States

    7 publications · 2.2K citations

    7

    h-index

1–5 of 5.6K

Venues

  1. Decision Support Systems

    33 publications · 4.3K citations

    29

    h-index

  2. Technological Forecasting and Social Change

    29 publications · 4K citations

    24

    h-index

  3. Journal of Business Research

    JBR · 24 publications · 5.5K citations

    21

    h-index

  4. Journal of the Association for Information Systems

    JAIS · 21 publications · 1K citations

    16

    h-index

  5. SSRN Electronic Journal

    Repository · 23 publications · 3.7K citations

    15

    h-index

1–5