An Empirical Analysis of Project Performance Outcomes for Best-Value Procurement in Design–Bid–Build Projects

2021 ◽  
Vol 37 (3) ◽  
pp. 04021005
Author(s):  
Brian C. Lines ◽  
Phuong H. D. Nguyen ◽  
Raghu Kakarapalli
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amirali Shalwani ◽  
Brian Lines

PurposeThe Project Management Body of Knowledge recommends the use of issue logs as a best practice to minimize the potential project cost and schedule growth. Although the broader topic of project control has been widely studied in the construction literature, the specific application of issue logs has remained relatively understudied. This study aims to analyze the extent and consistency with which construction teams utilize issue logs and the corresponding project performance outcomes.Design/methodology/approachA dataset of 5,635 individual issues was gathered from the final issue logs of 881 small building projects delivered via the design–bid–build method. Differences between groups were determined using the Kruskal–Wallis H test with post hoc testing via the Mann–Whitney U test with pairwise comparison.FindingsThe results showed that, on average, project teams who used issue logs to a greater extent achieved a 3.1 to 4.3% reduction in cost growth and a 5.3 to 12.3% reduction in schedule growth. This result shows that issue logs can be used to improve construction project performance in the areas of cost and schedule.Originality/valueThis result provides a contribution to practitioners, wherein project teams should be encouraged to establish their issue management practices early in the project schedule to encourage greater issue log usage for the remainder of the project.


Kybernetes ◽  
2018 ◽  
Vol 47 (9) ◽  
pp. 1778-1800 ◽  
Author(s):  
Vipula Sisirakumara Gunasekera ◽  
Siong-Choy Chong

PurposeThis paper aims to review the knowledge management (KM) processes, knowledge conversion modes and critical success factors (CSFs) and contextualise them to the construction setting to guide effective KM implementation.Design/methodology/approachThis paper is conceptual in nature. It begins with a review of issues faced by construction organisations, which led them to consider implementing KM. This is followed by a comprehensive review of KM processes, knowledge conversion modes, KM CSFs and their application to the construction industry.FindingsBased on the socialisation, externalisation, combination and internalisation (SECI) model, the knowledge conversion modes are discussed, linking them to the KM processes of knowledge creation, sharing, storage and application. The KM CSFs identified from construction literature suggest that they can be categorised into two groups, namely, factors within organisational control (managerial influence, technological influence and resource influence) and factors beyond organisational control (social influence, political influence, environmental influence, economic influence, industry influence and construction technology influence). The resulting review is discussed in terms of how construction organisations can implement KM effectively to achieve the desired project performance outcomes in terms of time, cost and quality.Research limitations/implicationsAlthough this paper has made some theoretical contributions, a quantitative analysis will further reinforce its value both in theory and practice, particularly in terms of applying the KM processes and CSFs to different organisational, industry and country settings. A quantitative research is being carried out in the major construction sector in Sri Lanka to establish the relationships between the KM processes, knowledge conversion modes and KM CSFs with project performance outcomes, which will be reported in a subsequent publication.Practical implicationsAs the construction industry uses a considerable number of knowledge workers, implementing KM for project planning and execution is the key to sustaining the growth of construction organisations and industry, particularly when KM implementation is linked to project performance outcomes. Practical implications are provided in terms of what successful KM implementation entails.Social implicationsEffective KM implementation can serve as a conduit for construction organisations to build capacity and develop the ability to react quickly to social challenges brought about by different stakeholders, even before the project commences, so that the project performance outcomes will not be affected. Another social implication is the role played by project team members, in which efforts have to be put in place to facilitate the use of KM processes, so that teams can align project activities to the general good of their organisations.Originality/valueA comprehensive KM framework that guides the construction industry on KM implementation is long overdue. This research represents the first of such attempts to view KM from a wider perspective, both in terms of internal and external influences affecting construction organisations. Once the conceptual framework developed is validated, it is expected to bring enormous benefits to different stakeholders.


Author(s):  
Brian Lines ◽  
Anthony Perrenoud ◽  
Kenneth Sullivan

Performance in the construction industry is wrought with challenges and owners often are victim to cost and schedule overruns, particularly on high profile projects that are large, complex, and risky. Alternative project delivery methods and techniques are continually being developed and implemented by buyers of construction services to address these problems. The Best Value Business Model (BVBM) has been rigorously tested and shown to improve project performance via its three-phased approach to project delivery. BVBM increases performance throughout the construction project lifecycle by utilizing value-based selection processes, pre-contract planning methodologies, and performance measurement systems. The objective of this research is to provide a detailed case study of BVBM application on a design-build project to deliver a highly complex research facility with tight schedule and budget thresholds. The implementation process is discussed in detail and project results are provided and analyzed to demonstrate the ability of BVBM to improve project performance. Special attention is paid to the ability of BVBM to optimize project cost and schedule performance through the application of a value-based selection methodology, a pre-contract preplanning period, and a weekly risk management system.


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