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Cha, H S and O’Connor, J T (2005) Optimizing Implementation of Value Management Processes for Capital Projects. Journal of Construction Engineering and Management, 131(02), 239–51.

Darren Graham, L, Smith, S D and Dunlop, P (2005) Lognormal Distribution Provides an Optimum Representation of the Concrete Delivery and Placement Process. Journal of Construction Engineering and Management, 131(02), 230–8.

Dikmen, I, Birgonul, M T and Kiziltas, S (2005) Prediction of Organizational Effectiveness in Construction Companies. Journal of Construction Engineering and Management, 131(02), 252–61.

  • Type: Journal Article
  • Keywords: Organizations; Management methods; Neural networks; Construction industry; Turkey; Models;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:2(252)
  • Abstract:
    Investigation of literature on organizational effectiveness (OE) reveals that the researchers have been in consensus for the difficulty of defining, modeling, and measuring OE, which is important for attaining high performance. Major focuses of this paper are, therefore, to construct a conceptual framework to model OE, to derive major determinants of OE from this framework, and to measure OE by constructing prediction models based on artificial neural network (ANN) and multiple regression (MR) techniques. Based on the proposed framework that investigates OE from the perspectives of organization and its subsystems, business, and macroenvironments, the most significant variables that determine OE have been collected and used as inputs for the two prediction models, which have been constructed by using the information associated with 116 Turkish construction companies obtained from a designed survey. According to the prediction results and comparative study, ANN slightly outperformed the MR model in terms of errors, correlations between desired versus actual outputs, and relations between input-output parameters. The ANN model is proposed for use as a tool to assess company effectiveness and to guide decision makers about the major determinants of OE to increase firm performance.

Elhakeem, A and Hegazy, T (2005) Graphical Approach for Manpower Planning in Infrastructure Networks. Journal of Construction Engineering and Management, 131(02), 168–75.

Hinze, J, Huang, X and Terry, L (2005) The Nature of Struck-by Accidents. Journal of Construction Engineering and Management, 131(02), 262–8.

Kajewski, S L (2005) Multilevel Formwork Load Distribution with Posttensioned Slabs. Journal of Construction Engineering and Management, 131(02), 203–10.

Kazaz, A and Birgonul, M T (2005) Determination of Quality Level in Mass Housing Projects in Turkey. Journal of Construction Engineering and Management, 131(02), 195–202.

Love, P E D, Tse, R Y C and Edwards, D J (2005) Time–Cost Relationships in Australian Building Construction Projects. Journal of Construction Engineering and Management, 131(02), 187–94.

Ping Ho, S (2005) Bid Compensation Decision Model for Projects with Costly Bid Preparation. Journal of Construction Engineering and Management, 131(02), 151–9.

Schexnayder, C, Knutson, K and Fente, J (2005) Describing a Beta Probability Distribution Function for Construction Simulation. Journal of Construction Engineering and Management, 131(02), 221–9.

Shen, L Y and Wu, Y Z (2005) Risk Concession Model for Build/Operate/Transfer Contract Projects. Journal of Construction Engineering and Management, 131(02), 211–20.

Walsh, K D, Sawhney, A and Brown, A (2005) International Comparison of Cost for the Construction Sector: Purchasing Power Parity. Journal of Construction Engineering and Management, 131(02), 160–7.

Zheng, D X M and Ng, S T (2005) Stochastic Time–Cost Optimization Model Incorporating Fuzzy Sets Theory and Nonreplaceable Front. Journal of Construction Engineering and Management, 131(02), 176–86.