Reforming the public procurement system: the case of the United Arab Emirates

Karem Sayed Aboelazm

International Journal of Procurement Management2026https://doi.org/10.1504/ijpm.2026.152260article
AJG 1
Weight
0.50

What the paper says

This paper examines several key concepts in public procurement: centralised public procurement, decentralised public procurement e-public procurement, and sustainable public procurement. The paper discusses the advantages and disadvantages of centralised and decentralised public procurement, as well as the benefits of e-procurement in the UAE at both the central and decentralised levels, including its advantages in combating corruption. The study also presents the sustainable public procurement framework in the UAE, which encompasses three dimensions: environmental, social, and economic. The study employed a descriptive approach to analyse the concepts of centralisation, decentralisation, electronic, and sustainable public procurement. An analytical method was used to identify the advantages and disadvantages of the central and decentralised systems in the UAE, as well as the benefits of electronic and sustainable public procurement.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijpm.2026.152260

Or copy a formatted citation

@article{karem2026,
  title        = {{Reforming the public procurement system: the case of the United Arab Emirates}},
  author       = {Karem Sayed Aboelazm},
  journal      = {International Journal of Procurement Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijpm.2026.152260},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Reforming the public procurement system: the case of the United Arab Emirates

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.