Exploring Stakeholder’s understanding of procurement performance expectations gap in public works contracts in Uganda’s district local governments (DLG): A qualitative Analysis of results

Abstract
There are varying opinions of how the procurement performance expectations gap (PPEG) is interpreted from a stakeholder’s perspective. This study borrowed this concept from auditing and marketing fields in order to replicate it in procurement management. The study was guided by the research question: How do the different stakeholders with different needs and interests, perceive the PPEG in roadworks contracts in DLGs in Uganda? The “Technical Personnel” and the “Road users” were selected as respondents, with technical explanations provided for each stakeholder group to avoid overlap. 33 Key informants in two categories of technical personnel and roadusers were selected using purposive sampling, all from the four regions of Uganda. Semi-structured interview guides were used to gain insight into understanding PPEG, interviews were audio recorded, and data was subjected to rigorous statistical analysis using ATLAS.ti software. A set of variables was synthesized and inductively categorized under three emerging themes of (1) laxity in performance efficiency, (2) laxity in performance effectiveness, (3) low level of community satisfaction. This set of themes explain the general laps in procurement performance expectations gap in roadworks contracts in DLGs in Uganda. This study contributes to an improved understanding of PPEG and how they are responsible for creating a performance gap in the stakeholder’s own perspective. Results confirmed the existence of a performance gap, that must be urgently addressed.
Description
Keywords
Performance Expectations gap, community access roadworks, Road-user Satisfaction, performance
Citation
Kalinzi, C., Ntayi, J., & Kabagambe, L. Exploring Stakeholder’s understanding of procurement performance expectations gap in public works contracts in Uganda’s district local governments (DLG): A qualitative Analysis of results.
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