Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 15 results ...
Awad, A and Fayek, A R (2013) Adaptive Learning of Contractor Default Prediction Model for Surety Bonding. Journal of Construction Engineering and Management, 139(06), 694–704.
Badu, E, Owusu-Manu, D, Edwards, D J and Holt, G D (2013) Analysis of Strategic Issues Underpinning the Innovative Financing of Infrastructure within Developing Countries. Journal of Construction Engineering and Management, 139(06), 726–37.
Brodetskaia, I, Sacks, R and Shapira, A (2013) Stabilizing Production Flow of Interior and Finishing Works with Reentrant Flow in Building Construction. Journal of Construction Engineering and Management, 139(06), 665–74.
Cariaga, I and El-Diraby, T E (2013) Assessing the market potential for housing construction products in Mexico. Journal of Construction Engineering and Management, 139(06), 717–25.
Chen, Q, Jin, R and Soboyejo, A (2013) Understanding a Contractor’s Regional Variations in Safety Performance. Journal of Construction Engineering and Management, 139(06), 641–53.
Cho, Y, Wang, C and Zhuang, Z (2013) Framework for Empirical Process to Improve Nonnuclear Gauge Performance in Hot-Mix Asphalt Pavement Construction. Journal of Construction Engineering and Management, 139(06), 601–10.
Chong, H Y, Zin, R M and Chong, S C (2013) Employing Data Warehousing for Contract Administration: e-Dispute Resolution Prototype. Journal of Construction Engineering and Management, 139(06), 611–9.
- Type: Journal Article
- Keywords: Databases; Contracts; Data collection; Dispute resolution; Construction industry; Database application; Contract administration; Data warehouse; e-Dispute Resolution; Contractual variations; Construction industry;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000642
- Abstract:
Although data warehouse is very practical for decision making, its application in contract administration is rather limited because of the complicated legal issues and the voluminous data involved. This research attempts to bridge this gap in two ways. First, conceptual models of data warehouse are developed to explain the contents and overall features of the system that were verified by 12 experts in Malaysia. Second, an electronic dispute resolution template, known as e-Dispute Resolution (e-DR), is prototyped by using a database tool based on the guidelines of contractual variations agreed by the experts. Subsequently, the prototype is evaluated by 16 professional quantity surveyors from an established consulting firm. The prototype was organized based on a systematic breakdown of issues and incorporated a Boolean keyword search feature. The results show that the concept of data warehouse is applicable to contract administration and is well received by practitioners. Overall, this article renders significant theoretical and practical contributions in which the resulting e-DR does not only lead toward more informed decision making but is also able to mitigate or prevent contractual disputes in the construction industry, where such a phenomenon seems to be inevitable.
Kim, Y A, Ryoo, B Y, Kim, Y and Huh, W C (2013) Major Accident Factors for Effective Safety Management of Highway Construction Projects. Journal of Construction Engineering and Management, 139(06), 628–40.
Le, Y, Wang, Y, Luo, C and Peng, Y (2013) Integration of Financial and Contract Management on the Shanghai Expo Construction Program. Journal of Construction Engineering and Management, 139(06), 738–48.
Park, T, Kim, B and Kim, H (2013) Real Option Approach to Sharing Privatization Risk in Underground Infrastructures. Journal of Construction Engineering and Management, 139(06), 685–93.
Russell, J S (2013) Shaping the Future of the Civil Engineering Profession. Journal of Construction Engineering and Management, 139(06), 654–64.
Solla, M, González-Jorge, H, Varela, M and Lorenzo, H (2013) Ground-Penetrating Radar for Inspection of In-Road Structures and Data Interpretation by Numerical Modeling. Journal of Construction Engineering and Management, 139(06), 749–53.
Xia, B, Molenaar, K, Chan, A, Skitmore, M and Zuo, J (2013) Determining Optimal Proportion of Design in Design-Build Request for Proposals. Journal of Construction Engineering and Management, 139(06), 620–7.
Yeung, J F Y, Chan, A P C, Chan, D W M, Chiang, Y H and Yang, H (2013) Developing a Benchmarking Model for Construction Projects in Hong Kong. Journal of Construction Engineering and Management, 139(06), 705–16.
Yu, W, Wang, K and Wang, M (2013) Pricing Strategy for Best Value Tender. Journal of Construction Engineering and Management, 139(06), 675–84.