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Andersen, T and Gaarslev, T (1996) Perspectives on artificial intelligence in the construction industry. Engineering, Construction and Architectural Management, 3(01), 3-14.
Day, A K (1996) The Maquette, the model and the computer: organizational futures for design and construction. Engineering, Construction and Architectural Management, 3(01), 15-28.
Holt, G D, Olomolaiye, P O and Harris, F C (1996) Tendering procedures, contractual arrangements and Latham: the contractors' view. Engineering, Construction and Architectural Management, 3(01), 97–115.
Kaka, A P and Khosrowshahi, F (1996) Effect of different procurement routes on contractors' cash flows. Engineering, Construction and Architectural Management, 3(01), 133-45.
Li, H (1996) Neural network models for intelligent support of mark-up estimation. Engineering, Construction and Architectural Management, 3(01), 69-81.
Matthews, J, Tyler, A and Thorpe, A (1996) Pre-construction project partnering: developing the process. Engineering, Construction and Architectural Management, 3(01), 117-131.
Moore, D (1996) Buildability assessment and the development of an automated design aid for managing the transfer of construction process knowledge. Engineering, Construction and Architectural Management, 3(01), 29-46.
Naoum, S G and Hackman, J (1996) Do site managers and the head office perceive productivity factors differently?. Engineering, Construction and Architectural Management, 3(01), 147–60.
- Type: Journal Article
- Keywords: motivation; productivity; resource management; training
- ISBN/ISSN: 0969-9988
- URL: https://doi.org/10.1108/eb021028
- Abstract:
This paper is based on a review of the literature on construction productivity and findings from a survey investigating, first, whether there are significant differences in opinions between head office personnel and site managers on factors that influence construction productivity and, second, to determine groups of factors that mostly influence site productivity. A critical discussion is structured under three general headings: (1) management factors; (2) employee motivation; and (3) experience and training. Twenty nine factors were extracted from the above headings and were assessed by 19 head office personnel and 17 site managers. The survey indicated that both samples regard ’ineffective project planning’ and ’constraints on a worker’s performance’ as the most crucial factors influencing productivity. Other highly ranked factors by both samples are ’difficulties with material procurement’, ’lack of integration of project information’, ’disruption of site programme’, ’lack of experience and training’ and ’exclusion of site management from contract meetings’. Ultimately, when the factor analysis technique was applied on the 29 factors, the result shows that Resource Management Effectiveness appeared to be the most dominant group of factors influencing construction productivity.
Uher, T E (1996) Cost estimating practices in Australian construction. Engineering, Construction and Architectural Management, 3(01), 83-95.