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The purpose of this paper is to discuss assessment of the satisfaction levels of different members of a construction project team as a basis for meeting the needs of the client.

An integrated framework is proposed that enables a collaboration of construction clients and project participants based on the recognition of the satisfaction requirements of every participant represented in the project team. The framework is developed to prioritise the satisfaction attributes of flexible number of construction clients and project participants, and enables the integration of these participants and their satisfaction attributes using mathematical and engineering techniques.

The framework can be applied at the different phases of the project life cycle. In addition, the satisfaction levels of construction clients and the project participants can be enhanced by focussing on the values of their satisfaction attributes and improving the integration of the project team.

The paper shows that a collaboration of construction clients and project participants based on the recognition and acknowledgement of each participant and their requirements is essential to improving project satisfaction in the construction sector.

The framework captures and analyzes the level of integrated project team satisfaction. The outcome of the study will improve understanding the satisfaction requirements of every client and participant represented in a given construction project team.

The purpose of this paper is to consider the significance of the sources of cost of construction plant theft identified in previous studies and derive rates which can enhance proper estimation of the cost of plant theft to the construction industry. The direct and indirect costs of plant theft include replacement cost (new‐for‐old/depreciated), emergency cost, hire replacement cost, productivity loss, increased labour cost, loss of goodwill, administration cost, increased insurance premium and social cost.

The cost‐contribution of these various sources was studied, using a structured questionnaire which was administered to building contractors in the UK construction industry, to measure their opinions of the frequency and severity of the contribution of the sources to the cost of construction plant theft. The questionnaires were administered to 220 companies and 51 of them were fully completed, representing 23.1 per cent of the original sample. The responses were analysed using descriptive and inferential statistics to derive the probabilities of sources contributing to the cost of plant theft.

The results of the analysis show that the rates of contribution to the cost of plant theft varies significantly between the sources, with “loss of output” and “increased insurance premium” ranking as the top‐two costs of plant theft in the UK construction industry. The rates derived in this study can be used by contractors to reasonably estimate the cost of plant theft, especially when there is need to justify the adoption of measures that can mitigate plant theft.

This study generated rates of contribution by factors which contribute to the overall cost of theft of construction plant in the UK. These rates can provide a more reliable estimate of the cost of plant theft than current estimations which vary significantly.

The purpose of this paper is to discuss an integrated decision analysis framework for the investment justification of implementing alternative information and communication technology (ICT)-based logistics systems in the construction industry so as to enhance the decision-making process in selecting the best alternative.

An integrated framework is proposed that is composed of a set of interrelated evaluation and analysis techniques that allow the identification and quantification of costs, benefits and risks involved in implementing ICT systems to mitigate problems that hinder the efficient operation of construction logistics. Such techniques include decision trees and multi-attribute decision-making under uncertainty that can be applied to the logistics planning of any new build construction project.

The probabilities of providing benefits vary among the alternatives, and the probabilities will replace the uncertainties surrounding the impacts of the alternative ICT systems in addressing the identified construction logistics problems with chance events so as to estimate the expected cost of each alternative with respect to each selection attribute.

This paper shows that it is almost certain that the analysed alternative ICT system will provide benefit because its probability of benefit is almost equal to 1.

The framework captures the existing problems of logistics in construction process, potential solution that can address the problems through the implementation of ICT systems and the decision-making process in the selection of appropriate ICT solution. The output of the framework will help to make knowledge-based decision in selecting the best ICT system for addressing construction logistics problems.