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Manpower is the most valuable asset in the construction industry. Based on an examination of literature, selected key data sources, and views from 29 key informants, this paper addresses the important labour resource context related to the construction industry in the case of Hong Kong. These include the trends of the critical indicators of the labour market in construction and the implications of the changing markets and technology on the future pattern of skill requirements, and the government policies on construction personnel. The findings are of immense importance to anyone involved in the construction industry, particularly training organizations and policy makers in their mission to maintain a skilled, competitive and adequate workforce able to meet the future demands of the industry. The changing labour market trends and skill requirements pose challenges for construction personnel in terms of upgrading their skills. Further research is recommended to construct robust models predicting the occupational trends in labour resources for effective manpower planning and to establish a labour market information system which could lead to capturing periodic labour market signals with a view to assisting the process of policy making on various human resource development aspects of construction workforce in Hong Kong.

The construction industry plays a significant role to the economy of Hong Kong not only in terms of output but also the employment. The sector, however, has been severely hit by the economic downturn in recent years resulting in serious unemployment. Employment planning becomes one of the critical aspects for the recovery of the economy. The main objective of this paper is to establish a labour demand model for the Hong Kong construction industry. The unique characteristics and the current conditions of the construction labour market are reviewed. Regression analysis based on 123 construction projects was used to compute the relationship between expenditure and site workers employed. The best predictor of average labour demand of construction projects in Hong Kong is found to be DL = 463 C 0.934, where DL is the actual labour demand in man‐days, C is the final cost of contract in millions. The labour demand‐cost relationship can be applied as a manpower forecasting model to estimate the total labour required for a given type of project. The developed model enables a more reliable and accurate planning of manpower requirements in the construction industry.

The purpose of this paper is to empirically compare the risk factors in public-private partnership (PPP) projects in developing and developed countries, represented by Ghana and Hong Kong, respectively.

A structured questionnaire survey was conducted with PPP practitioners in Ghana and Hong Kong. In total, 103 valid responses were received for analysis. Kendall’s coefficient of concordance and mean ranking were used for data analysis.

The results show that respondents from Ghana ranked country risk factors higher, whereas their Hong Kong counterparts ranked project-specific risks higher. The top five significant risks in Ghana are corruption, inflation rate fluctuation, exchange rate fluctuation, delay in project completion and interest rate fluctuation. In Hong Kong, the top five significant risk factors are delay in land acquisition, operational cost overruns, construction cost overruns, delay in project completion and political interference.

The results of the study inform international investors of the appropriate risk mitigation measures and preventive actions to use when engaging in PPP arrangements in any part of the world. Further, governments who are yet to use the PPP concept would be informed of the prevailing risk factors in other neighbouring countries (i.e. developing or developed countries).

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.

The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).

The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.

Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.

There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.

Conflict between project parties is among the major risk factors in public–private partnership (PPP) in developing countries that has, in extreme cases, led to the failure or distress of many PPP projects. This paper aims to explore conflict prevention measures for PPPs in developing countries using Ghana as a case study.

From a comprehensive review of literature, a list of conflict prevention measures was derived; further, a questionnaire survey was conducted with PPP experts from Ghana. Kendall’s coefficient of concordance test, range normalization method and factor analysis were used for data analysis.

Results show four significant conflict prevention measures for PPPs in developing countries, they include extensive stakeholder consultation in decision makings, clear goals and mutual benefit objectives, clarity of roles and responsibilities of parties and transparent appeal procedures. Using the factor analysis technique, the prevention measures are grouped into three unrelated categories, they are efficient communication structure and risk assessments, transparency and openness and proficient service delivery.

The research findings inform policymakers and local practitioners of the strategic measures and procedures needed to minimize the occurrence of conflicts in PPPs in developing countries.

This paper aims to empirically investigate the differences and similarities on the implementation constraints in public–private partnership (PPP) in developing and developed economies/countries, represented by Ghana and Hong Kong, respectively.

A questionnaire survey was conducted with relevant experienced PPP practitioners in Ghana and Hong Kong. One hundred and three completed questionnaires were received for analysis. Kendall’s coefficient of concordance analysis, mean score ranking, Mann–Whitney U test and quartile grouping were used for data analysis.

The results show six implementation constraints with significant differences. Constraints related to the general investment climate of PPP projects (i.e. ecological conditions of PPP) are ranked higher in Ghana than in Hong Kong, whereas constraints related to the organisation and negotiations of PPP projects are higher in Hong Kong than in Ghana. Further, two constraints, lengthy delay in finalising negotiations and lengthy delay due to political debate, are very critical in both jurisdictions, whereas “negative public perceptions on PPP transactions” and “high use of unsolicited proposals” are of less challenge in the implementation of PPP in both jurisdictions.

The findings of this study contribute to knowledge on the international best practices of PPP. In addition, international private bidders would be informed of the mitigation measures to adopt when engaging in PPP arrangements in any part of the world, whether in a developing or developed economy country.

This paper aims to make a systematic review of the manpower prediction model of the construction industry. It aims to determine the forecasting model's development trend, analyse the use limitations and applicable conditions of each forecasting model and then identify the impact indicators of the human resource forecasting model from an economic point of view. It is hoped that this study will provide insights into the selection of forecasting models for governments and groups that are dealing with human resource forecasts.

The common search engine, Scopus, was used to retrieve construction manpower forecast-related articles for this review. Keywords such as “construction”, “building”, “labour”, “manpower” were searched. Papers that not related to the manpower prediction model of the construction industry were excluded. A total of 27 articles were obtained and rated according to the publication time, author and organisation of the article. The prediction model used in the selected paper was analysed.

The number of papers focussing on the prediction of manpower in the construction industry is on the rise. Hong Kong is the region with the largest number of published papers. Different methods have different requirements for the quality of historical data. Most forecasting methods are not suitable for sudden changes in the labour market. This paper also finds that the construction output is the economic indicator with the most significant influence on the forecasting model.

The research results discuss the problem that the prediction results are not accurate due to the sudden change of data in the current prediction model. Besides, the study results take stock of the published literature and can provide an overall understanding of the forecasting methods of human resources in the construction industry.

Through this study, decision-makers can choose a reasonable prediction model according to their situation. Decision-makers can make clear plans for future construction projects specifically when there are changes in the labour market caused by emergencies. Also, this study can help decision-makers understand the current research trend of human resources forecasting models.

Although the human resource prediction model's effectiveness in the construction industry is affected by the dynamic change of data, the research results show that it is expected to solve the problem using artificial intelligence. No one has researched this area, and it is expected to become the focus of research in the future.

Extreme hot environments are prevalent in many occupational settings, and facilities management workers are no exception. Wearing suitable cooling garment is a useful means to alleviate heat strain and improving performance at heat exposure. This paper aims to evaluate the effectiveness and applicability of the cooling vest across four selected fields (i.e. construction, outdoor cleaning and horticulture, kitchen work and work involved manual handling at the airport) and identify the shortcomings of the cooling vest used by the participating workers.

This study adopted a two-phase design: a quantitative questionnaire survey followed by qualitative in-depth interviews.

A remarkable physical strain alleviation (PSA) of 21.1 per cent (14.8 per cent in construction, 18.8 per cent in horticulture and cleaning, 27.4 per cent in kitchen and catering and 26.5 per cent in airport apron service) is achieved by the use of cooling vest in four industries. Despite the success of PSA, several shortcomings of the cooling vest were identified: easily stained color, heavy weight, short cooling time, inflexibility that presents a hazard around moving equipment, lack of industry-specific design, nondurable and thick fabric with poor permeability.

The findings of the current study do not only confirm the effectiveness of the cooling vest in alleviating heat strain and physical strain but also identify the major shortcomings upon which further improvements can be made.

This paper presents a sustainability assessment model to holistically guide sustainable construction and green retrofitting of affordable housing from the Ghanaian perspective.

A comprehensive review was carried out, which yielded 16 sustainability indicators. Then, a questionnaire survey was conducted among respondents in the Ghanaian housing sector. Forty-seven valid responses were received and analysed using fuzzy synthetic evaluation (FSE) technique.

A four-index model was developed that includes: Housing and Transportation (H + T) index, household-satisfaction index, efficient stakeholder-management index and quality-related index. These indices account for 25.3%, 26.3%, 23.6% and 24.9% of sustainability attainment in affordable housing, respectively. Accordingly, household-satisfaction has the greatest contribution to sustainability attainment in affordable housing.

Due to challenges in obtaining responses to the questionnaire, the study was conducted with relatively small number of responses.

The model serves as a tool that could be used to objectively and comprehensively assess sustainability performance in affordable housing. Besides, it could be used as a baseline to calibrate future projects and for benchmarking success levels of comparable housing projects. Finally, the estimated indices are applicable in decision making for optimum resource allocation for sustainable low-cost housing in the Ghanaian perspective.