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A study of best management practices for enhancing productivity in building projects: construction methods perspectives

Gurmu, Argaw Tarekegn, Aibinu, Ajibade Ayodeji and Chan, Toong Khuan 2016, A study of best management practices for enhancing productivity in building projects: construction methods perspectives, Construction economics and building, vol. 16, no. 3, pp. 1-19, doi: 10.5130/AJCEB.v16i3.4882.

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Title A study of best management practices for enhancing productivity in building projects: construction methods perspectives
Author(s) Gurmu, Argaw TarekegnORCID iD for Gurmu, Argaw Tarekegn orcid.org/0000-0003-0750-4191
Aibinu, Ajibade Ayodeji
Chan, Toong Khuan
Journal name Construction economics and building
Volume number 16
Issue number 3
Start page 1
End page 19
Total pages 19
Publisher UTS ePress
Place of publication Haymarket, N.S.W.
Publication date 2016
ISSN 2204-9029
Keyword(s) Best management practices
construction methods
construction productivity
Australia
Summary This research investigates management practices that have the potential to enhance productivity in building projects by focusing on construction methods. In phase 1 of the study, face-to-face interviews with nineteen experts were conducted to identify the best management practices for construction methods. The qualitative data analysis reached saturation and resulted in a list of best practices for construction methods that are relevant to the local industry. The second phase used an industry-wide survey to prioritize the best practices. Accordingly, project start-up plan, traffic control plan, machinery positioning strategy, project completion plan, and dynamic site layout plan were shown to be the top five best practices for construction methods. The study also revealed that high levels of implementation of best practices are associated with low levels of project delays. The use of best practices also varied according to the project costs. There were no discernible differences between the top five best practices. The authors suggest that they should be implemented jointly to improve productivity in building projects. Contractors could use the logistic regression model developed, to predict the probability of exceeding a baseline productivity factor and, on that basis, implement corrective actions to achieve the desired level of productivity.
Language eng
DOI 10.5130/AJCEB.v16i3.4882
Field of Research 120201 Building Construction Management and Project Planning
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Argaw Gurmu, Ajibade Aibinu and Toong Chan
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106986

Document type: Journal Article
Collections: School of Architecture and Built Environment
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.