Cited by 130Public Procurement and PolicySustainability in Higher EducationSustainable Supply Chain Management

Sustainability and procurement practices in higher education institutions: Barriers and drivers

Open access
Leal Filho, Walter, Skouloudis, Antonis, Brandli, Luciana Londero, Salvia, Amanda Lange, Avila, Lucas Veiga, Rayman-Bacchus, Lez·2019·Journal of Cleaner Production

Integrity signals

Registry

Crossref · 10.1016/j.jclepro.2019.05.202

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

Flagged first, then by citations

1 of the 40 references couldn’t be matched to a known paper.

Cited by

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Authors
Leal Filho, W., Skouloudis, A., Brandli, L. L., Salvia, A. L., Avila, L. V., & Rayman-Bacchus, L.
Affiliations
  • University of the Aegean (GR)
  • Universidade de Passo Fundo (BR)
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-09
Volume
231
Pages
1267-1280
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2946093017
Cited by
130
References
40
Citations by year
2026: 19 · 2025: 22 · 2024: 22 · 2023: 25 · 2022: 16 · 2021: 14 · 2020: 9 · 2019: 3
FWCI
16.16
Type
journal article
Language
en
Open access
Locations
  • Journal of Cleaner Production (publishedVersion)
  • e-space (Manchester Metropolitan University) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Public Procurement and Policy
  • Social Sciences › Education › Sustainability in Higher Education
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
Keywords
sustainable procurement, higher education institutions, public sector sustainability, drivers and barriers, procurement policy, university procurement, small universities

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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