The construction industry in the United Kingdom has grown significantly and its ability to produce construction projects successfully has a significant impact on the whole economy’s performance. This industry needs better performance and value for money improvement because of ineffective decision-making associated with the management of risks, uncertainties, and changes which are inherent in these projects, particularly at the early {appraisal} stage and its investment decisions. Positioning this research within a wider body of international literature, including standards on managing projects, has made clear: the lack of VM, ReqM and RM approaches that address these methodologies comprehensively at different organisational levels; and the lack of a clear and proper linkage between these organisational levels. This research clarifies the relationships between policy, strategy, portfolio, programme and project levels and their contribution within the appraisal stage of projects. It investigates the applications of value, requirements and risk management at different levels of an organisation; and subsequently develops an integration approach. This approach applies these methodologies together within investment decisions under uncertainty to appraise projects top-down and manage the organisational value chain through these organisational levels to successfully provide the right projects that align with corporate strategy, leading to improve performance and value for organisations in the construction industry.

The identification of factors that affect the performance of temporary multi disciplinary organisational teams has been a central aim of management research in the construction industry for over 40 years. This study contributes to what is known about the formation of a construction project organisation by identifying the contingent factors that affect contractor's gathering and analysis of price information from supply chain organisations during the ex ante processes to contract formation. The research methodology adopted a combined approach to data collection and analysis, and used a theoretical framework adapted from transaction economics to identify and explicate a model of contingency factors. The research method for data collection in the dominant quantitative first phase used a postal survey of 760 estimators working for contracting organisations in the United Kingdom in December 2003. The resultant data set was analysed using descriptive statistics. A multi variable general linear model and principal component analysis defined the parameters of a model that informed the second phase of data collection and analysis. This model was explicated using a multiple case study approach that gathered and analysed interview data from estimators working for organisations that had been purposively selected. The findings of this research identified the contingency factors that affect contractors', seeking, gathering, analysing and synthesising of supply chain price data, that can be grouped into four categories, which are; external environment, project environment, task environment and inter-organisational relations. The research also found that the existence and strength of effect of the contingency factors was differentiated by organisational size, and identified the factors that may be influenced by the intervention of the client procurement system, (or the organisation) in the ex ante process of supply chain organisation team development.