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Jannadi, O A and Almishari, S (2003) Risk Assessment in Construction. Journal of Construction Engineering and Management, 129(05), 492–500.

Kim, K and de la Garza, J M (2003) Phantom Float. Journal of Construction Engineering and Management, 129(05), 507–17.

Koehn, E & and Datta, N K (2003) Quality, Environmental, and Health and Safety Management Systems for Construction Engineering. Journal of Construction Engineering and Management, 129(05), 562–9.

Lu, M (2003) Simplified Discrete-Event Simulation Approach for Construction Simulation. Journal of Construction Engineering and Management, 129(05), 537–46.

Lu, M, Anson, M, Tang, S L and Ying, Y C (2003) {[}HKCONSIM{]}: A Practical Simulation Solution to Planning Concrete Plant Operations in Hong Kong. Journal of Construction Engineering and Management, 129(05), 547–54.

Moodi, F and Knapton, J (2003) Research into a Management System for Diagnosis, Maintenance, and Repair of Concrete Structures. Journal of Construction Engineering and Management, 129(05), 555–61.

Nasir, D, McCabe, B and Hartono, L (2003) Evaluating Risk in Construction–Schedule Model (ERIC–S): Construction Schedule Risk Model. Journal of Construction Engineering and Management, 129(05), 518–27.

Ogunlana, S O, Li, H and Sukhera, F A (2003) System Dynamics Approach to Exploring Performance Enhancement in a Construction Organization. Journal of Construction Engineering and Management, 129(05), 528–36.

  • Type: Journal Article
  • Keywords: Construction industry; Performance; Project management; Asia; Engineering firms; Pakistan; construction industry; systems analysis; performance evaluation; project management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2003)129:5(528)
  • Abstract:
    Governments and firms in developing economies are concerned about ways to improve performance of local firms. A wealth of research has already discussed the reasons for decline in performance and suggested a number of possible improvement strategies. Among these documented strategies, there are many options for developing economies. The selection among these options, however, depends upon the unique organizational set-up and many other local factors. Moreover an implementation scenario of the selected options requires an experimentation period either by actually implementing the option as a policy or simulating the complete process in a model and thus creating a laboratory for learning. The former option is costly while the latter requires dynamic modeling of engineering processes integrated with the local influencing factors on overall performance. The latter approach is adopted in the present research using system dynamics techniques to model the problem. The effects of three strategic policies on the performance of a construction firm have been simulated. A case study is conducted to validate the utility of some selected policies for performance enhancement.

Shen, Q and Liu, G (2003) Critical Success Factors for Value Management Studies in Construction. Journal of Construction Engineering and Management, 129(05), 485–91.

Shohet, I M and Frydman, S (2003) Communication Patterns in Construction at Construction Manager Level. Journal of Construction Engineering and Management, 129(05), 570–7.

Soibelman, L, Liu, L Y, Kirby, J G, East, E W, Caldas, C H and Lin, K (2003) Design Review Checking System with Corporate Lessons Learned. Journal of Construction Engineering and Management, 129(05), 475–84.

Zhang, N and Tiong, R (2003) Integrated Electronic Commerce Model for the Construction Industry. Journal of Construction Engineering and Management, 129(05), 578–85.

Zhong, D H and Zhang, J S (2003) New Method for Calculating Path Float in Program Evaluation and Review Technique (PERT). Journal of Construction Engineering and Management, 129(05), 501–6.