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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Multi-Stakeholder Approach to Optimising Procurement Processes for Sustainable Development in Nigeria

Authors: Lawal Rasheed Ajibola1*, Sule Magaji2 , Yahaya Ismail3;

Multi-Stakeholder Approach to Optimising Procurement Processes for Sustainable Development in Nigeria

Abstract

This study investigates the effectiveness of a Multi-Stakeholder Approach in optimising public procurement processes for sustainable development in Nigeria. Employing a descriptive survey design, the research collected data from 341 stakeholders across government, the private sector, civil society, and communities. Findings confirmed that the influence of diverse stakeholders is statistically significant, with government policies identified as the most critical factor (Mean: 4.04). Key challenges include persistent corruption and the high costs of sustainable options, yet the study established that leveraging digital technologies (e.g., e-procurement) significantly enhances both transparency and efficiency. The research concluded that establishing a robust, collaborative governance framework backed by stricter laws, continuous monitoring, and technological adoption is essential to transform Nigerian procurement from a transactional activity into an equitable and effective driver of the nation’s sustainable development agenda.

Keywords

Multi-Stakeholder Approach, Procurement Processes, Sustainable Development, Transparency, Nigeria

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green