ARCOM

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Ballesteros-Pérez, P, Skitmore, M, Pellicer, E and Zhang, X (2016) Scoring Rules and Competitive Behavior in Best-Value Construction Auctions. Journal of Construction Engineering and Management, 142(09).

Chan, A P C, Javed, A A, Lyu, S, Hon, C K H and Wong, F K W (2016) Strategies for Improving Safety and Health of Ethnic Minority Construction Workers. Journal of Construction Engineering and Management, 142(09).

Chen, Y, Dib, H, Cox, R F, Shaurette, M and Vorvoreanu, M (2016) Structural Equation Model of Building Information Modeling Maturity. Journal of Construction Engineering and Management, 142(09).

De Jorge Moreno, J, De Jorge Huertas, V and Rojas Carrasco, O (2016) Assessment of the Efficiency of the Spanish Construction Industry Using Parametric Methods: Case Study. Journal of Construction Engineering and Management, 142(09).

Type: Journal Article
Keywords: Construction industry; Stochastic frontier models; Panel data; Technical efficiency; Skills; Size; Age; Capital intensity; Cost and schedule;
ISBN/ISSN: 0733-9364
URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001149
Abstract:
This paper assesses technical efficiency and its determinants in the Spanish construction sector from a comparative perspective for the period 2000 to 2010 by using different parametric approaches in the form of stochastic frontier models. The main results reveal similar (no) influential factors on efficiency. For all models, the determinants found were capital intensity, prefinancial and postfinancial crisis periods, and workers’ skills. There was no difference in terms of sign and statistical significance. Firm age was positively related to efficiency in two of the three models. Firm size was not significant in any model. Finally, the average efficiency values obtained by the models are 55.3, 69.2, and 91.0%, suggesting the possibility of significant improvements in resource management.

Dursun, O and Stoy, C (2016) Conceptual Estimation of Construction Costs Using the Multistep Ahead Approach. Journal of Construction Engineering and Management, 142(09).

Fang, D, Zhao, C and Zhang, M (2016) A Cognitive Model of Construction Workers’ Unsafe Behaviors. Journal of Construction Engineering and Management, 142(09).

Goodrum, P M, Miller, J, Sweany, J and Alruwaythi, O (2016) Influence of the Format of Engineering Information and Spatial Cognition on Craft-Worker Performance. Journal of Construction Engineering and Management, 142(09).

Govan, P and Damnjanovic, I (2016) The Resource-Based View on Project Risk Management. Journal of Construction Engineering and Management, 142(09).

Hanna, A S (2016) Benchmark Performance Metrics for Integrated Project Delivery. Journal of Construction Engineering and Management, 142(09).

Hosseini, S M A, de la Fuente, A and Pons, O (2016) Multicriteria Decision-Making Method for Sustainable Site Location of Post-Disaster Temporary Housing in Urban Areas. Journal of Construction Engineering and Management, 142(09).

Nguyen, L D, Tran, D Q and Chandrawinata, M P (2016) Predicting Safety Risk of Working at Heights Using Bayesian Networks. Journal of Construction Engineering and Management, 142(09).

Ramsey, D, El Asmar, M and Gibson, G E (2016) Quantitative Performance Assessment of Single-Step versus Two-Step Design-Build Procurement. Journal of Construction Engineering and Management, 142(09).

Shealy, T, Klotz, L, Weber, E U, Johnson, E J and Bell, R G (2016) Using Framing Effects to Inform More Sustainable Infrastructure Design Decisions. Journal of Construction Engineering and Management, 142(09).

Signor, R, Love, P E D and Olatunji, O (2016) Determining Overpricing in Brazilian Infrastructure Projects: A Forensic Approach. Journal of Construction Engineering and Management, 142(09).