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Project duration and cost play a significant role in fulfilling the objectives of both the contractor and the client. This paper builds upon the assumption that, for a given project quality, there exists a relationship between the project duration and the project cost. The behaviour of this relationship is very much influenced by the nature of the project. The paper proposes a general set of potential mathematical expressions for the above relationship and facilitates the identification of the project duration which yields lowest project cost. These are then applied to ‘Harmony’ type housing projects in Hong Kong. Moreover, while demonstrating the difference between the contractor's optimum cost‐time curve and that of the client, the paper suggests that the parties can select one of three options to reach a compromise. To this end, the paper introduces a set of mathematical expressions to represent these compromise‐solutions.

The way in which clients or their consultants undertake to select firms to tender for a given project is a highly complex process and can be very problematic. This is also true for public authorities as, for them, ‘compulsory competitive tendering’ is a relatively new concept. Despite its importance, contractors' prequalification is often based on heuristic techniques combining experience, judgement and intuition of the decision makers. This, primarily, stems from the fact that prequalification is not an exact science. For any project, the right choice of the contractor is one of the most important decisions that the client has to make. Therefore, it is envisaged that the development of an effective decision‐support model for contractor prequalification can yield significant benefits to the client. By implication, such a model can also be of considerable use to contractors: a model of this nature is an effective marketing tool for contractors to enhance their chances of success to obtain new work. To this end, this work offers a decision‐support model that predicts whether or not a contractor should be selected for tendering projects. The focus is on local authorities because, in the absence of a viable universal selection system, there are significant variations in the way they conduct prequalification. The model is based on the use of artificial neural networks (ANN) and uses data relating to 42 local authorities (clients). With the aid of a questionnaire and a scaling system, the prequalification attributes that are considered to be important by clients are identified. The survey indicates significant variations in the level of importance given to different attributes. Statistical methods are adopted to generate additional data representing disqualified instances. Following a preprocessing exercise, the data form the basis of the input and output layers for training the neural‐net model. An independent set of data is subjected to a similar preprocessing for testing the model. Tests reveal that the model has a highly satisfactory predictive accuracy and that the ANN technique is a viable tool for the prediction of success or failure of the contractor to qualify to tender for local authority projects.

This paper addresses the effect of different procurement methods (traditional, design and build and management contracting) on project cash flow. Historical data relating to the periodic cost of 150 construction projects were collected. Four criteria were identified to classify the projects: type of project, size, company and type of procurement. The effect of these criteria on the S‐curves was then examined using ANOVA. Results confirmed that differently procured projects with different sizes produce different patterns. The company and type of project did not significantly affect the shape of the S‐curve. Standard S‐curves were then modelled for the three aforementioned procurement routes. These curves were used to calculate the relevant cash flows using a computer based cash flow forecasting model. A series of simulation tests were conducted to evaluate the extent of variation in cash flow, given different contract conditions. Results revealed that, in some cases, the variation in procurement routes has a significant effect on contract cash flows.

The focus of this work is on the client-designer interface where decisions have significant impact over the lifecycle of the project. Therefore, the briefing stage is examined in the context of clients’ needs which is divided into project-based strategy and broader clients’ strategy. The purpose of this paper is to address the pitfalls in the briefing process which has been attributed to the shortcomings in the client-designer communication interfaces. This will be achieved by developing an automated brief generation framework. The research examines the efficiency of standard approaches to modelling and design, and the benefits that these methodologies have offered to the computer industry. The work reviews the similarities between the two industries and argues in support of the potential benefits in adopting a standard methodology in the construction industry. The structure upon which the framework is developed is based on system analysis and design methodology (SSADM) which has proven to be an effective platform used within the software development industry.

SSADM is an established methodology within the software development industry. The paper will demonstrate that due to fundamental similarities between the construction and software development industries, SSADM is likely to offer a viable platform upon which an automated enhanced brief generation model is developed for use in the construction industry. The construction design and construction process will be mapped on SSADM high-level definition before focusing and honing on the design phase. The methodology for the development of the framework will be based on the rationalist approach of generating knowledge through reasoning leading to model-building.

A model that is based on SSADM is proposed for the design development phase of construction projects. In order to shape the project strategy, the model considers the combined role of clients’ requirements with organisation strategy and environmental factors. The paper has shown that it is feasible to increase the automation of the briefing process and enhanced the briefing output. The model here does not diminish the importance of direct communication between the client and the design team. It provides a more structured way of doing so, while taking advantage of vast array of data and technology in order to improve the brief outcome.

From practical perspective, the proposed framework is in its formative stage, thus requiring incremental refinement through several case studies. This is particularly true about the AI components of the system which typically rely on extensive data representing the real-case scenarios. Therefore, the work invites further research into the examination of various parts as well as the overall system.

There are several ways by which construction projects are procured. There may be fluctuation in their rate of usage, but while there is no indication of any procurement option fading, new ones such as PPP and PFI are periodically introduced. The existence of this diversity is indicative of the fact that the industry tends to respond to problems rather than attempting to instigate a measured solution supported by theoretical underpinning. Subsequently, there have been suggestions of a communication and information discourse between actors and within processes involved in project lifecycle. This project is aimed at addressing the gap in the client-designer communication. The automated approach to brief generation will lead to better briefs while reducing ambiguities as well as the overhead associated with brief generation.

The quality of project brief has a significant impact on decisions at the design stage. In turn, these decisions will influence all phases of construction project lifecycle. The briefing session and requirement analysis of a construction project can be very difficult for inexperienced clients particularly for complex projects. Therefore, there is potential for the process of client-requirement-analysis to be optimised. The work promises to improve the quality of the briefing process, thus helping clients to realise their intended objectives and minimise resource waste.

The work builds on the commonalities of the construction and software development industries and takes advantage of the advancements in the latter. In doing so, project quality is defined quantitatively which is used to develop project strategy in a three-dimensional space. The development of the model was also contingent upon enhancement of artificial neural network structure.

Building information modelling (BIM) implementation is a major change management task, involving diversity of risk areas. The identification of the challenges and barriers is therefore an imperative precondition of this change process. This paper aims to diagnose UK's construction industry to develop a clear understanding about BIM adoption and to form an imperative step of consolidating collective movements towards wider BIM implementation and to provide strategies and recommendations for the UK construction industry for BIM implementation.

Through comprehensive literature review, the paper initially establishes BIM maturity concept, which paves the way for the analysis via qualitative and quantitative methods: interviews are carried out with high profile organisations in Finland to gauge the best practice before combining the results with the analysis of survey questionnaire amongst the major contractors in the UK.

The results are established in the form of the initial phase of a sound BIM implementation guidance at strategic and operational levels. The findings suggest three structured patterns to systematically tackle technology, process and people issues in BIM implementation. These are organisational culture, education and training, and information management. The outcome is expressed as a roadmap for the implementation of BIM in the UK entailing issues that require consideration for organisations to progress on the BIM maturity ladder.

It paves a solid foundation for organisations to make informed decisions in BIM adaptation within the overall organisation structure.

This research consolidates collective movements towards wider implementation of BIM in the UK and forms a base for developing a sound BIM strategy and guidance.

Considerable amounts of work have been carried out in developing cost models for the repair and maintenance of earthquake damaged buildings in recent years. Most of these developments have been based on methods and approaches using risk analysis, probabilistic earthquake and scenario earthquakes. The main objectives of this paper can be summarised as: to highlight the extent and variability of influencing factors (quantitative and qualitative) affecting the repair and maintenance of post‐earthquake damage to buildings and structures; and to present the first configuration of a proposed quantitative model for the repair and maintenance of damage inflicted on buildings.

To achieve this, an in‐depth review of the available literature in this field was deemed necessary. The presented literature review, demonstrates the need and the gap in knowledge, as well as the complexity of the subject for such development. In developing the proposed model, attention has been paid to the recommendations made and good practice observed within the industry and the corresponding literature. The suggested assessment mechanism of buildings (data collection) has been proposed in conjunction with the ATC – 38 post‐earthquake building assessment forms and the ASCE/FEMA 356 – pre‐standard and commentary for the seismic rehabilitation of building. The ability (mechanism) to estimate the cost of required repair and maintenance based on a thorough condition survey of the inflicted damage on buildings was of paramount importance in this study.

The main finding reported in this paper, apart from the presented cost estimation methodology and the first configuration of a quantitative model, is the necessity to acquire and establish a broad knowledge base of variables and parameters, influencing such development.

This paper certainly paves the way for a more rigorous and comprehensive approach for further development in this field.

Recent construction literature has been focusing more on integrative contracting approaches such as integrated project delivery (IPD). However, conceptual studies on integration in IPD literature are scattered and fragmented, that is, most of the studies only focused on the segmented dimension of integration. A systemic understanding of the concepts of integration in IPD project-based context is still lacking. To fill this gap, this paper analyzes two aspects of integration (dimensions and directions) in IPD literature and explores their extent in construction projects.

Grounded theory review and focus group discussion approaches were employed to perform a thorough conceptual review of the literature, frame the research into the theory and increase the fundamental understanding of the concept of integration in IPD literature.

In this study, IPD integrating techniques were identified and their integration dimensions and directions were discussed. Results show that integration in the project-based environment of IPD is a multidimensional construct. Based on organizational, contractual and operational characteristics of IPD projects, twenty-four integration mechanisms were identified and framed into seven clusters. The integration directions over project life-cycle were demonstrated in three contexts: (1) an on-site construction project, delivered traditionally, (2) an on-site construction project, delivered with IPD and (3) an off-site construction project, delivered with IPD.

This paper gathers the segments of integration into a comprehensive overview, which can help researchers and practitioners explore elements of IPD project success more precisely. A theoretical framework of integration clusters is developed, based on IPD literature. The impact of IPD on on-site versus off-site construction is illustrated from an integration direction perspective. Finally, future areas of studies for researchers and practitioners about the concept of integration in an IPD context are discussed. This paper provides a point of departure for future theoretical and empirical explorations.

Analyzing different scenarios at the design stage of construction projects has always been a challenging task. One of the main parameters that helps owners in making better decisions in designing their buildings is to look after the cost perspective on different design scenarios. Thus, this study aims to propose a semi-automated BIM-based cost estimation approach that enables practitioners to estimate the cost of projects based on different design scenarios by an accurate and agile system.

This study proposes an integrated framework, through which the cost estimation standard of Iran (FehrestBaha) is linked to the materials quantity take-offs (QTO) from BIM models. The performance of the system is based on connecting the classification standards of UniFormat and MasterFormat to the cost estimation standard of FehrestBaha. A BIM-based extension in the Revit environment is developed to automate the cost estimation process.

To evaluate the efficiency of the proposed approach in cost estimation, it is implemented to estimate the cost of the architectural discipline in a real construction project. The results indicate that the proposed BIM-based approach estimated the cost of the architectural discipline with an acceptable level of accuracy.

The proposed approach could be used by practitioners to have an agile and accurate BIM-based cost estimation of different scenarios during design process. The semi-automated system considerably reduces the time of cost estimation in comparison to the traditional manual approaches, particularly in complex structures. Owners are able to easily trace changes in project cost according to any changes in components and materials of the BIM model. Furthermore, the proposed approach provides a practical roadmap for BIM-based cost estimation based on cost estimation standards in different countries.

Unlike the traditional manual cost estimation approaches, the proposed BIM-based approach is not highly dependent on the knowledge of experienced estimators, which therefore facilitates its implementation. Furthermore, automating both QTO process and the required calculations in this approach increases the accuracy of cost estimation while decreasing the probability of human errors or omission occurrence.

This paper aims to investigate the relationship between building information modelling (BIM) adoption from the perspectives of people, process and technology to strategic information technology (IT) in construction mediated by collaborative processes for new BIM entrants. The demand pull for more effective project delivery in the construction industry across the globe has continued to transform design techniques from two-dimensional, three-dimensional (3D) and, currently, BIM. Leverage on IT is pivotal for construction industry development as earmarked by the Malaysian construction industry master plan. BIM uptake by stakeholders in Malaysia construction industry is on a gradual increase. BIM generates and manages building data during its life cycle via 3D, real-time, dynamic building modelling.

BIM model is dependent on collaborative contribution by project teams’ input at various stages. However, challenges such as people, process and technology impede an effective adoption rate in Malaysia. This paper presents a continuation of an ongoing theoretical framework developed, to further investigate the relationship between BIM adoption from perspectives of people, process and technology to strategic IT in construction and collaborative process. To develop the framework, an extensive literature review on factors affecting BIM adoption was carried out. The underlining gap stems from a positivist standpoint in examining human – IT interaction. The model builds on conceptual technology acceptance models incorporating strategic IT implementation and collaborative processes in the industry.

The paper examined factors affecting BIM adoption in Malaysia. The factors are further affected by the environment where BIM is utilised. The paper also presents the mediating effect of collaboration for new BIM entrants. Overall, the theorised hypotheses delineate the strength and significance of the examined relationship within the model. Subsequently, the data will be collected from construction industry professionals (architects, quantity surveyors, engineers and contractors) through the developed survey instrument. The hypotheses will undergo structural equation modelling to analyse the desired statistical power, test for close versus exact fit and complexity of the model.

The findings will delineate the variables with predominant impact on BIM adoption and serves as a guide to future policymaking on BIM implementation in Malaysia.

Current research on BIM in Malaysia is limited to readiness and awareness. This paper extends the need for empirical findings from construction professionals’ perception of BIM. The findings also explain reasons for BIM adoption in new BIM entrants and add to current body of knowledge on IT acceptance model formation.