ISSN 0144-6193, Online ISSN: 1466-433X
Publisher: Routledge, part of the Taylor & Francis Group
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Data modelling and the application of a neural network approach to the prediction of total construction costs
Emsley M.W.; Lowe D.J.; Duff A.R.; Harding A.; Hickson A.
A theoretical framework for determining the minimum number of bidders in construction bidding competitions
Ngai S.C.; Drew D.S.; Lo H.P.; Skitmore M.
Three methods for verifying and validating the simulation of a construction operation
Generic and specific IT training: a process protocol model for construction
Goulding J.S.; Alshawi M.
The impact of job and organizational demands on marital or relationship satisfaction and conflict among Australian civil engineers
Lingard H.; Sublet A.
Responses of selected economic indicators to construction output shocks: the case of Singapore
Simulation optimization for earthmoving operations using genetic algorithms
Marzouk M.; Moselhi O.
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