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This paper aims to develop a fuzzy risk assessment model for construction projects procured with target cost contracts and guaranteed maximum price contracts (TCC/GMP) using the fuzzy synthetic evaluation method, based on an empirical questionnaire survey with relevant industrial practitioners in South Australia.

A total of 34 major risk factors inherent with TCC/GMP contracts were identified through an extensive literature review and a series of structured interviews. A questionnaire survey was then launched to solicit the opinions of industrial practitioners on risk assessment of such risk factors.

The most important 14 key risk factors after the computation of normalised values were selected for undertaking fuzzy evaluation analysis. Five key risk groups (KRGs) were then generated in descending order of importance as: physical risks, lack of experience of contracting parties throughout TCC/GMP procurement process, design risks, contractual risks and delayed payment on contracts. These survey findings also revealed that physical risks may be the major hurdle to the success of TCC/GMP projects in South Australia.

Although the fuzzy risk assessment model was developed for those new-build construction projects procured by TCC/GMP contracts in this paper, the same research methodology may be applied to other contracts within the wide spectrum of facilities management or building maintenance services under the target cost-based model. Therefore, the contribution from this paper could be extended to the discipline of facilities management as well.

An overall risk index associated with TCC/GMP construction projects and the risk indices of individual KRGs can be generated from the model for reference. An objective and a holistic assessment can be achieved. The model has provided a solid platform to measure, evaluate and reduce the risk levels of TCC/GMP projects based on objective evidence instead of subjective judgements. The research methodology could be replicated in other countries or regions to produce similar models for international comparisons, and the assessment of risk levels for different types of TCC/GMP projects (including new-build or maintenance) worldwide.

The purpose of this paper is to develop a fuzzy risk assessment model for construction projects procured with target cost contracts (TCC) and guaranteed maximum price (GMP) contracts using factor analysis (FA) and fuzzy synthetic evaluation method, based on an empirical questionnaire survey with relevant industrial practitioners in Hong Kong.

A total of 34 key risk factors (RFs) inherent with TCC/GMP contracts were identified through an extensive literature review and a series of structured interviews. A questionnaire survey was then launched to solicit the opinions of industrial practitioners on risk assessment of such RFs.

The most important 17 principal RFs after the calculation of normalised values were selected for undertaking FA. Five principal risk groups (PRGs) were then generated in descending order of importance as: design risks, pre‐contract risks, economic and financial risks, lack of experience in TCC/GMP procurement process and post‐contract risks. These survey findings also reveal that design risks may be the major hurdle to the success of TCC/GMP projects in Hong Kong.

An overall risk index (ORI) associated with TCC/GMP construction projects and the risk indices of individual PRGs can be generated from the model for reference. An objective and reliable assessment can be achieved. The model provides a solid platform to measure, evaluate and reduce the risk levels of TCC/GMP projects based on objective evidence instead of subjective judgments. The research methodology could be replicated in other countries or regions to produce similar models for international comparisons and the assessment of risk levels for different types of TCC/GMP projects worldwide.

The purpose of this paper was to first identify and then model the impact of critical success factors (CSFs) of public–private partnership (PPP) power projects.

Review of empirical literature came out with 20 CSFs which were ranked by experts and industry practitioners through a two-round Delphi questionnaire survey.

These CSFs were grouped into CSF groups (CSFGs) using component analysis, and they served as the input variables for fuzzy analysis. The six components were collaboration and transparency, guarantee and permits, socio-political support, expected profitability, technical feasibility and risk allocation (RA). Overall success index of PPP power projects in Ghana was 5.966 and showed there is high impact of CSFGs on project success. Fuzzy analysis also confirmed RA as the most significant CSFG.

The model developed can serve as a multi-dimension CSF framework that can be used as a success attainment tool for PPP power projects. For policy developers and stakeholders, the model serves as a pointer to issues which the government/public sector must focus on to attract huge investments from the private sector in the power sector.

The purpose of this paper is to identify the factor groupings of a set of 19 critical success factors (CSFs) associated with managing public-private partnership (PPP) projects at the operational stage and examine the most significant factor grouping using fuzzy synthetic evaluation (FSE) technique.

The paper adopted a comprehensive review of the pertinent literature and an empirical questionnaire survey geared towards targeted international PPP experts. Survey responses were analysed using factor analysis and FSE modelling.

The results from factor analysis show five CSF groupings (CSFGs) for managing operational PPPs. These are proficient service delivery and adequate legal structures, simplified payment mechanism and consistent project monitoring, effective contract variations management, suitable stakeholder management mechanism and environmental health and safety control. The FSE modelling shows that “simplified payment mechanism and consistent project monitoring”, is the most critical CSFG. The operational management CSFs under this grouping are acceptable level of user fee charges, efficient and well-structured payment mechanism, consistent project performance monitoring and long-term demand for public facility.

The major limitation lies in the low sample size that was used for analysis; however the years of research and/or industrial experience of respondents and the wide coverage of different cultural backgrounds (18 countries from five regions globally) contribute to the authenticity of the survey responses. Future research should adopt interviews and case study analysis to unravel CSFs in managing operational PPPs.

The findings of this study are considerably beneficial to both public authorities and private operators. They inform practitioners of the strategic procedures and measures to employ in optimising the operational performance of PPP projects. Further, the methodology employed allows project management experts to reliably select the operational management CSFs for their projects.

Since 1960, many public–private partnership (PPP) projects have been implemented in Hong Kong. Some projects have been considered as very successful, whereas others are seen as less successful. Unfortunately, these success outcomes have remained abstract because they are not in quantifiable terms. This paper aims to develop a model that can quantify the success outcome of PPP projects in Hong Kong.

Both quantitative and qualitative research approaches were adopted for the study. First, a questionnaire survey was conducted with PPP practitioners in Hong Kong, and thereafter, the fuzzy synthetic evaluation technique was used to develop a project success index for PPP projects in Hong Kong. The Hong Kong Cross-Harbour Tunnel project was used as a case study to demonstrate the applicability of the pragmatic model.

The success index model developed consists of four unrelated success criteria groupings: cost effectiveness, quality of services and technical specification, environmental impact and long-term partnership. Further, the computed success index for the Cross-Harbour Tunnel project is 4.06, which indicates that the tunnel project has been highly successful.

The outputs of this study will enable PPP practitioners in Hong Kong to reliably evaluate the success levels of their projects. In addition, local practitioners can now compare the success levels of two or more PPP projects on the same basis.

Public–private partnerships (PPPs) are viewed as a reform tool for resolving inefficiency and absence of dynamism in water supply delivery in developing countries. However, the requirements for their successful implementation have received very little attention. This paper aims to describe a set of critical success factors (CSFs) that, when given special and continual attention, would ensure a successful project implementation and to provide a predictive tool to aid implementers to evaluate the likelihood of a successful PPP water supply project.

Fourteen perceived CSFs were initially derived from project cases and extant literature, and verified through a two-round Delphi survey. Factor analysis established five critical success factor groups (CSFGs) that were then used to develop a fuzzy synthetic evaluation tool for assessing the chance of a successful project.

The five key CSFGs are commitment of partners, strength of consortium, asset quality and social support, political environment, and national PPP unit. The model output showed that, overall, these factors have a “very high” positive impact on a successful implementation of a water supply project. Hence, there is an excellent correlation between achievement of the CSFGs and project success. Success indices of individual principal factors are also “very high”.

The study presents a tool to public clients and private audience, and it is hoped that the study will trigger policy development towards PPP practice in developing countries, because these findings have wider implications for legal and regulatory systems, public capacity, financing, public procurement and politics.

The construction industry has been recording a high number of accidents without any sign of abating, the majority of which have been linked to poor health and safety practices. To reduce this menace, this study aims to evaluate the factors affecting health and safety practices on construction sites to improve health and safety practices.

First, this study reviewed previous studies to derive the factors affecting health and safety practices on construction sites, and based on the literature review, the 50 factors identified were used in developing the questionnaire that was administered to construction professionals. The returned questionnaire was then analysed using fuzzy synthetic evaluation (FSE).

According to the FSE results, inadequate safety planning has the highest critical value, followed by management failure, inadequate safety promotion, safety ignorance, poor supervision and enforcement, a casual attitude towards safety and insufficient experience. The analysis showed that the overall criticality of the factors to the Malaysian construction industry is high, suggesting that if addressed, the health and safety practices of the industry will be improved.

The study provides a holistic approach to the factors affecting health and safety practices in the construction industry using a method that has not been used by previous researchers. The findings will furnish decision makers in the construction industry with practical approaches to adapt and reinforce in the industry to improve health and safety practices.

The need to improve the mental health of construction personnel has increased owing to high rates of mental health problems. Hence, a proper evaluation of a mix of implementable intervention strategies in the workplace will assist in achieving good mental health. Although there are recommendations in occupational health literature on strategies that can be adopted, it is unknown how they fit appropriately into the construction industry. Therefore, the purpose of this study is to identify the mix of strategies for the construction industry and their criticality.

Drawing from the context of developing countries with Nigeria as a case study, data was collected using the quantitative technique. A questionnaire survey consisting of 31 intervention strategies was administered to a purposive sample of 45 experts in the Nigerian construction industry. The data collected was analyzed using mean score analysis and fuzzy synthetic evaluation.

The study revealed that strategies focused on boosting employee morale and engagement and interpersonal relationship offer higher chances of improving mental health among construction personnel. The study showed that implementing job crafting and sculpting may benefit the industry. The analysis showed that the overall criticality of the intervention strategies to the Nigerian construction workplace is high, suggesting that if implemented, the mental health of construction personnel can be improved.

The study provides an initial understanding of the most critical multi-level intervention strategies to enhance good mental health among construction personnel in Nigeria and the global construction industry. These findings serve as a guide to policymakers and advocate the implementation of strategies to adopt for a psychologically healthy construction workplace in developing countries.

With the recognition that knowledge is ingrained within certain social groups and settings, more recent literature in this field is now spotlighting this human focused or “social dimension” of knowledge management. However, this learning approach faces some constraints, especially, in project context. While the existing body of knowledge has focused on emphasizing the importance of the social processes and practices involved in this approach, there is glaring neglect of the intricacies involved when executing learning through this agency, especially in project settings. Hence, the purpose of this study is to identify and evaluate the systemic obstacles in personalizing knowledge flows within and across projects.

This study adopted a positivist philosophical stance couched within a deductive approach. A structured questionnaire was used to gather data from 203 construction professionals with “hands-on” experience in managing projects in the Ghanaian construction industry.

A mean score analysis showed that all the identified obstacles are significant factors that hinder the personalization of knowledge flows within and across projects. A structure detection analysis generated four principal obstacle components (POCs), explaining about 67.897% of the total variance of the obstacles in personalizing knowledge flows in temporary organizations. The complex web of obstacles was broken out into four broad thematic categories or POCs: obstacles at the individual level, obstacles at the team level, obstacles at the structural level and the limitations of project operations. A fuzzy synthetic evaluation modeling of the four POCs generated criticality indices for each POC exceeding 3.50 on a five-point rating scale, indicating that, all the four POCs as significant obstacles to personalizing knowledge flows within and across projects.

Implications are provided for project managers on the social dynamics of learning in project teams.

The research findings expand existing frontiers of knowledge by addressing the gap in the literature on the complexity of the personalization strategy within projects. The findings would also spark a broader discussion about the importance of developing integrated ways to structure learning in project environments. The culmination of the research will serve as a solid foundation for the development of a future project learning frameworks.

The purpose of this paper is to propose a method for assessing the lean construction management performance (LCMP) of engineering projects using the analytic network process-fuzzy comprehensive evaluation (ANP-FCE) model.

Literature review and questionnaire surveys were used to achieve an evaluation index system for LCMP. The data needed to calculate the weights of the indices were derived from questionnaire surveys. The ANP and the Super Decisions (SD) software were used to calculate the weights of the indices and verify the validity of the weights. The FCE was adopted to carry out a comprehensive evaluation of LCMP, and the validity of the evaluation results was verified by applying the validity degree of maximum membership principle. The applicability of the method for evaluating LCMP was validated by empirical research.

The proposed method for assessing the LCMP using the ANP-FCE model is validated to be feasible. Decision makers can easily identify the strengths and weaknesses of lean construction (LC) management of the evaluated project from the evaluation results.

Some subjectivity may exist in the assessment process due to questionnaire surveys, and only one case has been studied to validate the applicability of the method. Therefore, researchers are encouraged to increase the number of LC experts and cases over the world to make the proposed method more standard.

The research is expected to propose an assessment method of LCMP for construction enterprises, provide a reference to develop assessment standards for LCMP for building associations or governments and help decision makers know the improving path of LC management.

This research contributes to the literature by summarizing the commonly used lean management tools for quality, cost, time, safety and organization in practice, and proposing a novel approach for assessing the LCMP of engineering projects. The study is useful for researchers, project managers and decision makers engaged in LC.