Abstract
Purpose – Construction frameworks are recognised by the UK Government as an integrated procurement path to deliver efficiency, collaboration and sustainability. This research paper aims to develop a performance-driving model for framework procurement to align with the government construction policy objectives.
Design/methodology/approach – A quantitative hierarchical regression analysis was conducted to examine the causal relationships between project outcomes and performance drivers. A successive qualitative multiple-case study involving eight typical construction framework projects was examined to further explain casual relationships.
Findings – Conclusive results from the quantitative and qualitative analyses validated the performance-driving model, generalising a framework procurement principle that project outcomes of time, cost, quality, sustainability and closer relationships are significantly driven by supplier’s task and contextual performance drivers, and client’s organisational drivers.
Research limitations/implications – The investigation followed two major public-sector organisations in the UK: infrastructure offices of local authorities and estate offices of universities. Further research should be extended to other public-sector situations to enhance the model further.
Practical implications – Using this model, framework managers can drive project outcomes by applying task and contextual performance drivers in order to select the best suppliers at the procurement phase, and by adopting the client’s organisational factors at both procurement and construction monitoring phases.
Social implications – The empirical evidence supports the use of frameworks by public sector policymakers as a key strategy to develop the performance drivers further and improve efficiency and quality outcomes.
Originality/value – The results will be of value to support the policy of public-sector works organisations contemplating using framework procurement for executing continuing construction activities.
(The paper is currently published online in Emerald Insight EarlyCite, and will be formally published in due course)
Design/methodology/approach – A quantitative hierarchical regression analysis was conducted to examine the causal relationships between project outcomes and performance drivers. A successive qualitative multiple-case study involving eight typical construction framework projects was examined to further explain casual relationships.
Findings – Conclusive results from the quantitative and qualitative analyses validated the performance-driving model, generalising a framework procurement principle that project outcomes of time, cost, quality, sustainability and closer relationships are significantly driven by supplier’s task and contextual performance drivers, and client’s organisational drivers.
Research limitations/implications – The investigation followed two major public-sector organisations in the UK: infrastructure offices of local authorities and estate offices of universities. Further research should be extended to other public-sector situations to enhance the model further.
Practical implications – Using this model, framework managers can drive project outcomes by applying task and contextual performance drivers in order to select the best suppliers at the procurement phase, and by adopting the client’s organisational factors at both procurement and construction monitoring phases.
Social implications – The empirical evidence supports the use of frameworks by public sector policymakers as a key strategy to develop the performance drivers further and improve efficiency and quality outcomes.
Originality/value – The results will be of value to support the policy of public-sector works organisations contemplating using framework procurement for executing continuing construction activities.
(The paper is currently published online in Emerald Insight EarlyCite, and will be formally published in due course)
Original language | English |
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Pages (from-to) | 781-798 |
Number of pages | 18 |
Journal | Built Environment Project and Asset Management |
Volume | 13 |
Issue number | 6 |
Early online date | 25 Sept 2023 |
DOIs | |
Publication status | Published - 10 Nov 2023 |
Keywords
- Construction framework procurement
- Buildings and civil engineering infrastructures
- Performance-driving model
- Regression analysis
- Multiple-case study
- England