| Title: | Factors Influencing Contractor Performance: An International Investigation |
| Authors: | Xiao, Hong Proverbs, David G. |
| Citation: | Engineering, Construction and Architectural Management, 19(5): 322-332 |
| Publisher: | Emerald Publishing Group Ltd. |
| Journal: | Engineering, Construction and Architectural Management |
| Issue Date: | 2003 |
| URI: | http://hdl.handle.net/2436/29538 |
| DOI: | 10.1108/09699980310502937 |
| Additional Links: | http://www.emeraldinsight.com/Insight/viewContentItem.do?contentType=Article&contentId=845805 http://direct.bl.uk/bld/PlaceOrder.do?UIN=138779115&ETOC=RN&from=searchengine |
| Abstract: | International comparisons of contractor performance can provide robust benchmarks for contractors in different countries and help to identify ways towards performance improvement. Based on a hypothetical construction project, overall contractor performance (OCP) in Japan, the UK and the USA is compared. Overall contractor performance is defined to embrace construction cost, construction time, construction quality and sustainable development, the philosophy being that the achievement of one aspect of performance should not be at the expense of another. Multiple regression analysis reveals that overall contractor performance is dependent on: their past performance on previous similar projects; their commitment towards lifetime employment; their perceived importance of time performance; their relationship with subcontractors; and the number of design variations during construction. To improve their overall performance, contractors are advised to focus on construction time, reduce delays, maintain a stable workforce and establish partnerships with their subcontractors. Clients should attempt to reduce design variations during construction. (Emerald Group Publishing Limited) |
| Type: | Article |
| Language: | en |
| Keywords: | Construction industry Construction contracts Construction project organisation Construction planning Construction management Subcontracting Contract workers Performance measures Multiple regression analysis Performance monitoring |
| ISSN: | 09699988 1365232X |
| Appears in Collections: | Construction and Infrastructure
|
| Files in This Item: |
There are no files associated with this item. |
|
All Items in WIRE are protected by copyright, with all rights reserved, unless otherwise indicated.