Data-driven Operating Model

A Data-Driven Operating Model is an organizational framework that systematically integrates data analytics, digital technologies, and decision-making processes into core business operations, distinguishing itself by enabling real-time, evidence-based strategic and operational actions across functions and stakeholders.

49

Publications

1.8K

Citations

212

Authors

109

Institutions

Publications per year

2017–2026

43

Authors

212

  1. NP
    Nicolas Petit

    European University Institute, Italy

    2 publications · 103 citations

    2

    h-index

  2. DJ
    David J. Teece

    University of California, Berkeley, United States

    2 publications · 103 citations

    2

    h-index

  3. JL
    Jianpeng Lin

    Peng Cheng Laboratory, China

    1 publications · 62 citations

    1

    h-index

  4. FS
    Fatemeh Sabouhi

    University of Tehran, Iran

    1 publications · 19 citations

    1

    h-index

  5. SR
    Sinéad Roden

    City, University of London, United Kingdom

    1 publications · 90 citations

    1

    h-index

1–5 of 212

Venues

  1. Applied Energy

    4 publications · 164 citations

    4

    h-index

  2. Energy Conversion and Management

    3 publications · 100 citations

    3

    h-index

  3. Energy

    3 publications · 92 citations

    3

    h-index

  4. Energy and Buildings

    2 publications · 52 citations

    2

    h-index

  5. Annals of Operations Research

    2 publications · 52 citations

    2

    h-index

1–5