Procurement Data Quality

Procurement Data Quality is a measurement construct that assesses the extent to which procurement data adheres to core data quality dimensions such as accuracy, completeness, timeliness, consistency, and accessibility within the context of open contracting and public procurement transparency.

4

Publications

248

Citations

20

Authors

13

Institutions

Publications per year

2017–2026

4

Authors

20

  1. RH
    Robert Handfield

    North Carolina State University, United States

    1 publications · 167 citations

    1

    h-index

  2. RG
    R. Ghasemy Yaghin

    Amirkabir University of Technology, Iran

    1 publications · 19 citations

    1

    h-index

  3. DR
    Dumitru Roman

    SINTEF, Norway

    1 publications · 30 citations

    1

    h-index

  4. SJ
    Seongkyoon Jeong

    Korea Institute of Machinery & Materials, South Korea

    1 publications · 167 citations

    1

    h-index

  5. CT
    Chris Taggart

    OsloMet – Oslo Metropolitan University, Norway

    1 publications · 30 citations

    1

    h-index

1–5 of 20

Venues

  1. Information

    1 publications · 30 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of Business and Industrial Marketing

    1 publications · 19 citations

    1

    h-index

  4. Sustainability

    1 publications · 32 citations

    1

    h-index

  5. Scientific Data

    1 publications · 11 citations

1–5