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This paper identifies the theoretical stimulants and impediments associated with the implementation of PFI/PPP (Private Finance Initiative/Public Private Partnership)projects. A current defect of this procurement approach is the unintentional constraint upon the innovations incorporated into the development of PFI projects. A critical evaluation of the published literature has been utilized to synthesize a theoretical model. The paper proposes a theoretical model for the identification of potential innovation stimulants and impediments within this type of procurement. This theoretical model is then utilised to evaluate four previously completed PFI projects. These project case‐studies have been examined in detail. The evaluation demonstrates how ineffective current procedures are. The application of this model before project letting could eliminate unintentional constraints and stimulate improved innovation within the process.The implementation of the model could improve the successful delivery of innovation within the entire PFI/PPP procurement process.

The objective of this research is to identify the cross‐cultural similarities and differences of the implementation of the UK PFI procurement process in different contexts.

The research methodology adopted was the SLEEPT approach. The identified features are examined from source material of various projects within the stated nations. A Delphic approach of confirmation by national collaborators from each country is utilised. Confirming and disaffirming features are examined utilising exogenous cultural drivers.

The conclusion of this research identifies cross‐cultural features of six different cultures presented as a “cultural compass” which will inform the development of future private finance initiative (PFI)/public private partnership (PPP) projects. The impact of this research will have implications for the appreciation of cultural similarities and differences of national “construction cultures” for effective project delivery of future PFI/PPP projects.

This paper offers an approach that can be generalised for adoption by nations considering the introduction of PFI as a procurement process.

Without innovation a business does not have a rational source of competitive advantage in construction (CAC), necessary for appropriating added value. Various management research papers have identified factors that may create innovation conditions. Other researchers have shown how industries have innovated through time. This paper draws upon both sources to show a temporal development for the strategic introduction of innovation within the construction industry. This paper develops the temporal typology as a model for identifying and developing potential sources of innovation. The model (which consists of an ordered set of four epochs) provides a typology of innovation based on different routes through the epochs that together describe the different innovation (business cycle) contexts which can be utilised to identify which sources of innovation may be most appropriate in order to create a further (and higher) source of added value. This paper illustrates the representativeness of the model to “real‐life” businesses.

This paper provides initial findings from a pilot to introduce graduate mental health workers into primary care, child and adolescent mental health services (CAMHS) across three localities in the north west of England in the UK. The progress of the pilot was monitored by gathering information from students, managers, supervisors and mentors regularly throughout the 12 month period, during which the pilot cohort were being formally trained. The potential of the new role of primary care graduate mental health workers to address problems of volume and access to services, particularly how the role might contribute to developing nonspecialist primary care services, is considered.

The Private Finance Initiative (PFI) is a long‐term concession of services used by the UK Government to capture private capital to fund public projects. This model is being increasingly applied in Portugal and the assessment of its competitive advantage is very important to Portugal. The empiric study undertaken both in Portugal and the UK has permitted some conclusions to be drawn already. PFI has developed the way the construction industry is managed, and has increased the competitive advantage of UK construction industry acting in the four vectors of competitive advantage: innovation, quality, efficiency and attention to the client. Innovation occurred through new designs that were more efficient and cost effective through the project’s whole life cycle. There is the widespread use of management tools: whole life cycle costing, risk management and benchmarking. PFI also improved communication in the UK construction industry, forcing interaction and feedback from all stakeholders in a project.

The purpose of this paper is to define and quantify the term robustness within the context of a Private Finance Initiative (PFI) project environment from the perspective of the Granting Authority. The paper is conceptual, based on conceptual generalisations.

The paper considers the theory of systems thinking within PFI procurement. This is further integrated with the concept of robustness and resilience used extensively in the ecology discipline. Combining the two, this paper presents a mathematical approach of quantifying robustness in PFI projects.

An analytical model is used to support the mathematical analysis to quantify and define robustness.

The quantifying of robustness is based on the principal assumptions presented in the paper. The principal assumptions provide an ideal situation which is necessary to pursue and develop the proposed approach to quantify robustness. Changes to the assumptions may affect the generalisability of the approach.

The paper provides a greater definition to robustness within PFI projects and the possibility of quantifying robustness to better monitor and manage the characteristic.

This paper seeks to introduce an evolved hybrid genetic algorithm and neural network (GNN) model. The model is developed to predict contractor performance given the current attributes in a process to pre‐qualify the most appropriate contractor. The predicted performance is used to pre‐qualify the contractors.

Hypothetical and real‐life case studies from projects executed in the Gaza Strip and West Bank were collected through structured questionnaires. The evaluation of the contractor's attributes and the corresponding actual performance of the contractor in terms of time, cost, and quality overrun (OR) were collected. The weighted contractor's attributes were used as inputs to the GNN model. The corresponding time, cost, and quality ORs for the same cases were fed as outputs to the GNN model in a supervised learning back propagation neural network (NN). (The adopted training and testing process to develop a trained model is presented.) The training process, including choosing the topology of the required NN using genetic algorithms, is explained.

The results revealed that there is a satisfactory relationship between the contractor attributes and the corresponding performance in terms of contractor's deviation from the client objectives. The accuracy of the model in terms of mean absolute percentage error (MAPE), R², average absolute error and mean square error revealed that the model has sufficient accuracy for implementation. The average MAPE for time, cost and quality OR is 15 per cent. Consequently, the model accuracy is 85 per cent.

The GNN model is able to predict future contractor performance for given attributes.

The purpose of this paper is to analyse the international construction sector from a macroeconomic point of view through production functions. The aim is to contribute additional knowledge on the European construction sector, highlighting differences in the industry among European countries

In order to analyse the sector panel, data from 1996‐2005 for nine European countries were used. Raw data were obtained from Eurostat (Bach Project). Variables for the production functions were chosen after a correlation analysis. Annual turnover was taken as the dependent variable, whereas total assets and personnel costs were the independent variables. The econometric regression models considered were linear (bivariate and multivariate) and logarithmic (Cobb‐Douglas).

In spite of the limitations stated, there are some factors that can explain the results obtained, such as the diverse preponderance of small and medium enterprises and the different roles played by informal economy, migration and subcontracting in each of the countries.

Data collected by Eurostat are provided by the enterprises voluntarily. This implies a bias in the representativeness of the data. Thus, the discrepancies and inconsistencies in the results obtained are a direct consequence of the data limitations. Furthermore, the regression models obtained should be tested using future data to predict the behaviour of the construction industry in each one of the countries.

The use of production functions in the construction industry is a novel approach that should be further developed to gather more precise information on the behaviour of the sector.

At each New Year we stand at the threshold of fresh scenes and hopes, of opportunities and pastures new. It is the time for casting off shackles and burdens that have weighed us down in the old year; almost a new chapter of life. We scan the prevailing scene for signs that will chart the year's unrolling and beyond, and hope profoundly for a smooth passage. The present is largely the product of the past, but of the future, who knows? Man therefore forever seems to be entering upon something new—a change, a challenge, events of great portent. This, of course, is what life is all about. Trends usually precede events, often by a decade or more, yet it is a paradox that so many are taken by surprise when they occur. Trends there have been and well marked; signs, too, for the discerning. In fields particular, they portend overall progress; in general, not a few bode ill.