Abstracts – Browse Results
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Barraza, G A, Back, W E and Mata, F (2004) Probabilistic Forecasting of Project Performance Using Stochastic S Curves. Journal of Construction Engineering and Management, 130(01), 25–32.
Bonnal, P, Gourc, D and Lacoste, G (2004) Where Do We Stand with Fuzzy Project Scheduling?. Journal of Construction Engineering and Management, 130(01), 114–23.
Chan, A P C, Scott, D and Chan, A P L (2004) Factors Affecting the Success of a Construction Project. Journal of Construction Engineering and Management, 130(01), 153–5.
Cho, Y, Haas, C T, Sreenivasan, S V and Liapi, K (2004) Position Error Modeling for Automated Construction Manipulators. Journal of Construction Engineering and Management, 130(01), 50–58.
Deng, X, Ding, S and Tian, Q (2004) Reasons underlying a mandatory high penalty construction contract bonding system. Journal of Construction Engineering and Management, 130(01), 67–74.
Dikmen, I and Birgonul, M T (2004) Neural Network Model to Support International Market Entry Decisions. Journal of Construction Engineering and Management, 130(01), 59–66.
- Type: Journal Article
- Keywords: Neural networks; Foreign projects; Bids; Contractors; Turkey; Construction industry; neural nets; construction industry; international collaboration; decision support systems; civil engineering;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(59)
- Abstract:
Bidding for international construction projects is a critical decision for companies that aim to position themselves in the global construction market. Determination of attractive projects and markets where the competitive advantage of a company is high requires extensive environmental scanning, forecasting, and learning from the experience of competitors in international markets. In this paper, a neuronet model has been developed as a decision support tool that can classify international projects with respect to attractiveness and competitiveness based on the experiences of Turkish contractors in overseas markets. The model can be used to guide decision makers on which type of data should be collected during international business development and further help them to prepare priority lists during strategic planning. Information derived from the model demonstrates that the most important factors that increase attractiveness of an international project are availability of funds, market volume, economic prosperity, contract type, and country risk rating. Similarly, level of competition, attitude of host government, existence of strict quality requirements, country risk rating, and cultural/religious similarities are the most important factors that affect competitiveness of Turkish contractors in international markets.
Dzeng, R J, Wang, W C and Tserng, H P (2004) Module-Based Construction Schedule Administration for Public Infrastructure Agencies. Journal of Construction Engineering and Management, 130(01), 5–14.
Elazouni, A M and Gab-Allah, A A (2004) Finance-Based Scheduling of Construction Projects Using Integer Programming. Journal of Construction Engineering and Management, 130(01), 15–24.
Ford, D N, Anderson, S D, Damron, A J, de Las Casas, R, Gokmen, N and Kuennen, S T (2004) Managing Constructibility Reviews to Reduce Highway Project Durations. Journal of Construction Engineering and Management, 130(01), 33–42.
Goodrum, P M and Haas, C T (2004) Long-Term Impact of Equipment Technology on Labor Productivity in the U.S. Construction Industry at the Activity Level. Journal of Construction Engineering and Management, 130(01), 124–33.
Hauck, A J, Walker, D H T, Hampson, K D and Peters, R J (2004) Project Alliancing at National Museum of Australia—Collaborative Process. Journal of Construction Engineering and Management, 130(01), 143–52.
Ho, S P and Liu, L Y (2004) Analytical Model for Analyzing Construction Claims and Opportunistic Bidding. Journal of Construction Engineering and Management, 130(01), 94–104.
Ling, F Y Y, Chan, S L, Chong, E and Ee, L P (2004) Predicting Performance of Design-Build and Design-Bid-Build Projects. Journal of Construction Engineering and Management, 130(01), 75–83.
Marzouk, M and Moselhi, O (2004) Multiobjective Optimization of Earthmoving Operations. Journal of Construction Engineering and Management, 130(01), 105–13.
Shapira, A (2004) Work Inputs and Related Economic Aspects of Multitier Shoring Towers. Journal of Construction Engineering and Management, 130(01), 134–42.
Shr, J and Chen, W T (2004) Setting Maximum Incentive for Incentive/Disincentive Contracts for Highway Projects. Journal of Construction Engineering and Management, 130(01), 84–93.
Treloar, G J, Love, P E D and Crawford, R H (2004) Hybrid Life-Cycle Inventory for Road Construction and Use. Journal of Construction Engineering and Management, 130(01), 43–49.