Abstracts – Browse Results
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Al Qady, M and Kandil, A (2010) Concept Relation Extraction from Construction Documents Using Natural Language Processing. Journal of Construction Engineering and Management, 136(03), 294–302.
El-adaway, I H and Kandil, A A (2010) Multiagent System for Construction Dispute Resolution (MAS-COR). Journal of Construction Engineering and Management, 136(03), 303–15.
El-Gohary, N M and El-Diraby, T E (2010) Dynamic Knowledge-Based Process Integration Portal for Collaborative Construction. Journal of Construction Engineering and Management, 136(03), 316–28.
Girmscheid, G and Brockmann, C (2010) Inter- and Intraorganizational Trust in International Construction Joint Ventures. Journal of Construction Engineering and Management, 136(03), 353–60.
Kale, S and Arditi, D (2010) Innovation Diffusion Modeling in the Construction Industry. Journal of Construction Engineering and Management, 136(03), 329–40.
Lin, C and Huang, H (2010) Improved Baseline Productivity Analysis Technique. Journal of Construction Engineering and Management, 136(03), 367–76.
Love, P E D, Edwards, D J, Watson, H and Davis, P (2010) Rework in Civil Infrastructure Projects: Determination of Cost Predictors. Journal of Construction Engineering and Management, 136(03), 275–82.
- Type: Journal Article
- Keywords: Infrastructure; Construction costs; Australia; Civil infrastructure; Rework; Stepwise regression; Cost predictors;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000136
- Abstract:
Within Australia, civil engineering works continue to meet the insatiable demand for new infrastructure despite project complexity and cost and schedule overruns. A significant factor that can contribute to such overruns is rework; yet to date research into the root causes and consequential costs of rework in civil infrastructure projects has been limited. Using a questionnaire survey, rework costs and probable causes were obtained from 115 civil infrastructure projects. Stepwise multiple regression was then used to determine the significant variables that contributed to rework. The regression model revealed that the following five significant predictors accounted for 25% of the variance in total rework cost: (1) ineffective use of information technologies; (2) excessive client involvement in the project; (3) lack of clearly defined working procedures; (4) changes made at the request of the client; and (5) insufficient changes initiated by the contractor to improve quality. The findings also revealed that mean total rework costs were 10% of the contract value for the sample. Interestingly, the extent of rework experienced was significantly correlated with project cost and schedule growth
Menassa, C, Peña Mora, F and Pearson, N (2010) Study of Real Options with Exogenous Competitive Entry to Analyze Dispute Resolution Ladder Investments in Architecture, Engineering, and Construction Projects. Journal of Construction Engineering and Management, 136(03), 377–90.
Minchin, R E, Henriquez, N R, King, A M and Lewis, D W (2010) Owners Respond: Preferences for Task Performance, Delivery Systems, and Quality Management. Journal of Construction Engineering and Management, 136(03), 283–93.
Thomas, M U (2010) Models for Managing Contingency Construction Operations. Journal of Construction Engineering and Management, 136(03), 391–8.
Toor, S and Ofori, G (2010) Positive Psychological Capital as a Source of Sustainable Competitive Advantage for Organizations. Journal of Construction Engineering and Management, 136(03), 341–52.
Touran, A (2010) Probabilistic Approach for Budgeting in Portfolio of Projects. Journal of Construction Engineering and Management, 136(03), 361–6.