Analytics-driven Innovation

Analytics-Driven Innovation is a scholarly contribution that advances knowledge through the systematic creation or refinement of methods, models, frameworks, or metrics grounded in data analytics to generate novel insights, processes, or solutions within organizational, scientific, or technological domains.

115

Publications

10.9K

Citations

306

Authors

195

Institutions

Publications per year

2017–2026

86

Authors

306

  1. BL
    Bowen Lou

    University of Connecticut, United States

    3 publications · 586 citations

    3

    h-index

  2. LM
    Lorin M. Hitt

    University of Pennsylvania, United States

    3 publications · 586 citations

    3

    h-index

  3. LW
    Lynn Wu

    University of Pennsylvania, United States

    3 publications · 586 citations

    3

    h-index

  4. KP
    Krishna Prasad K

    Mangalore University, India

    2 publications · 101 citations

    2

    h-index

  5. PM
    Patrick Mikalef

    Norwegian University of Science and Technology, Norway

    2 publications · 544 citations

    2

    h-index

1–5 of 306

Venues

  1. Technological Forecasting and Social Change

    6 publications · 1.3K citations

    6

    h-index

  2. Annals of Operations Research

    5 publications · 448 citations

    5

    h-index

  3. Sustainability

    5 publications · 391 citations

    5

    h-index

  4. Journal of Business Research

    JBR · 5 publications · 1.9K citations

    5

    h-index

  5. Journal of the Association for Information Systems

    JAIS · 3 publications · 136 citations

    3

    h-index

1–5