Please use this identifier to cite or link to this item:
https://doi.org/10.1061/(ASCE)0733-9364(1999)125:3(142)
DC Field | Value | |
---|---|---|
dc.title | Critical success factors for different project objectives | |
dc.contributor.author | Chua, D.K.H. | |
dc.contributor.author | Kog, Y.C. | |
dc.contributor.author | Loh, P.K. | |
dc.date.accessioned | 2014-06-17T08:16:01Z | |
dc.date.available | 2014-06-17T08:16:01Z | |
dc.date.issued | 1999-05 | |
dc.identifier.citation | Chua, D.K.H., Kog, Y.C., Loh, P.K. (1999-05). Critical success factors for different project objectives. Journal of Construction Engineering and Management 125 (3) : 142-150. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)0733-9364(1999)125:3(142) | |
dc.identifier.issn | 07339364 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/65370 | |
dc.description.abstract | The identification of key factors for construction project success enables appropriate allocation of limited resources. Most of the related past work only identified critical success factors for construction projects in general. The present study seeks to distinguish these factors according to the project objectives of budget, schedule, and quality. The analytic hierarchy process is adopted to determine the relative importance of success-related factors. A hierarchical model for construction project success is presented. Sixty-seven success-related factors are considered. These factors are grouped under four main project aspects, namely, project characteristics, contractual arrangements, project participants, and interactive processes in the hierarchical model for project success. A questionnaire was developed to facilitate systematic data collection in this study. Experts with an overall average of 20 years of experience in the construction industry were invited to participate in the survey. Critical success factors addressing budget performance, schedule performance, quality performance, and overall project success are identified. Some pertinent findings of the study are discussed. Comparisons with findings of previous studies using neural network approach are also presented. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1061/(ASCE)0733-9364(1999)125:3(142) | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | CIVIL ENGINEERING | |
dc.description.doi | 10.1061/(ASCE)0733-9364(1999)125:3(142) | |
dc.description.sourcetitle | Journal of Construction Engineering and Management | |
dc.description.volume | 125 | |
dc.description.issue | 3 | |
dc.description.page | 142-150 | |
dc.description.coden | JCEMD | |
dc.identifier.isiut | 000080442900002 | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.