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The purpose of this paper is to assess the causes and effects of delays in public sector housing projects in Ghana.

A purposive sampling approach was used in selecting the respondents for the study. These were experts working on various state housing construction projects in Ghana.

Results from the study showed that the critical factors that contribute to project delays in Ghana are; delay in payment to contractor/supplier, inflation/price fluctuation, price increases in materials, inadequate funds from sponsors/clients, variation orders and poor financial/capital market. The critical effects of delays are cost overrun, time overrun, litigation, lack of continuity by client and arbitration.

This paper is limited to causes and effects of project delays in Ghana based on data collected from only one state institution. Due to geographic constraints the researchers were unable to sample state institutions across Ghana involved in various housing projects.

This paper has documented the critical state housing construction project delay factors in Ghana. The results will help project managers and policymakers appreciate the effects of these delays on project outcomes.

Measures aimed at reducing cost of housing projects in Ghana can translate into significant benefits to the poor and support achievement of government objective of providing affordable housing to low income citizens.

This research focussed on the key factors and best practices that lead to the success of state housing projects within the Ghanaian context.

Emerging states confront staggering shortages in adequate housing stock. In response, governments have sought various supply-based solutions to mitigate growing housing deficits. While many of these mass housing efforts have not produced the desired outcome, the Republic of Korea’s Two Million Housing Drive (TMHD) was a comparatively successful intervention with its implementation from 1988 to 1992. The five-year initiative exceeded its objective with the construction of over 2.1 million units – of which two-thirds were built by the private sector. The purpose of this study is to analyse Korea’s relatively effective supply-based affordable housing approach and then extrapolate best practices and lessons learned with applications for real estate markets in the developing world. Comparative understanding of the TMHD can help promote greater access to adequate housing in the developing world, especially for the many who continue to live in impoverished conditions.

The research uses content-based and quantitative methods to analyze the case of the TMHD in Korea toward informing improvements in corresponding supply-based housing policies and programs in developing states.

While there were challenges with the TMHD, the program repositioned Korea’s urban housing market with greater access to affordable housing in cities for the lower-income and vulnerable. The TMHD enabled the subsequent effectiveness of demand-based housing policies.

There are research limitations in fully understanding the complex relationships between mass housing programs, economic growth and government policies. The abductive reasoning used in this case study enables in-depth analysis of the TMHD with generalizable inferences for middle-range theories with applications for emerging markets.

The experience of the TMHD can promote policy harmonization by helping optimize corresponding mass housing efforts in the developing world with the potential to similarly close quantitative housing deficits and expand access to adequate housing for lower-income and vulnerable households.

Deeper understanding of the TMHD can lead to reforms of other mass housing initiatives in emerging markets to make adequate housing more accessible and economical for the benefit of underserved segments of society.

The Korean experience with the TMHD can inform the optimization of other similar large-scale policies and programs seeking to sustainably overcome shortfalls in adequate housing that have become all too common in the developing world.

The purpose of this paper is to investigate the causes of scope creep on project completion in the real estate development industry in Ghana.

Both simple random sampling and convenience sampling techniques were used in selecting the respondents for the study. The respondents were experts working in the real estate development industry in Ghana.

Results from the study showed that the most critical factors that cause scope creep in the Ghanaian real estate development industry are client changes, unforeseen risks and unclear scope. Mitigating measures for addressing these factors were proposed.

This paper is limited to causes of scope creep in the real estate development industry in Ghana based on data collected from only real estate development firms in Accra. Due to geographic constraints, the researcher was unable to sample real estate development companies across the entire country. The finding of this study may not be generalised since causes of scope creep can be unique to individual country contexts.

This paper has documented the critical causes of scope creep and its major impacts on project completion in the real estate development industry in Ghana. The results will help project managers in the industry to appreciate the causes of scope creep and its effect on project completion as well as increase the quality of economics on real estate management and reduce the costs and risks of housing of delivery in the country.

The paper examined the causes and mitigation of project scope creep in the Ghanaian context.

The purpose of this paper is to investigate the factors that cause government construction projects failure in a developing economy.

The study used the sequential data collection approach through an in-depth semi-structured interview (16 participants) and questionnaire survey (230 participants) to solicit their perceptions from project management practitioners (PMP), contractors and client (government officials) about the factors that lead to Ghanaian Government construction projects. The relative importance index was used to determine the relative importance of the factors identified. This was followed by Spearman rank correlation coefficient and Kendall’s coefficient of concordance to measure the degree of agreement among the participants on their perceptions.

In total, 34 factors were identified as the main factors that lead into Ghanaian Government construction projects failure. The top ten most important factors that cause Ghanaian Government construction projects failure are: political interferences, delays in payment, partisan politics, bureaucracy, corruption, poor supervision, lack of commitment by project leaders, poor planning, starting more projects than the government can fund and change in government. The failure factors were grouped into four main themes and found that the most important failure factors are leadership. This is followed by management and administrative practices, resources and external forces, respectively.

This study is limited to only the public sector, and therefore the findings may not be applicable in the private sector.

Policy makers and construction PMP would be able to use the findings as a guide during the implementation of government projects in order to reduce and/or avoid government construction projects failure.

Construction projects failure in developing countries is high. Accordingly, the extant literature has been devoted to identifying the factors that lead to failure; however, they have mainly been discussed from a generic point of view or individual case studies. Researches that focus exclusively on government construction projects in developing countries are rare despite the dynamics in which these projects are implemented. This research extends the construction project management literature by focussing on government construction projects in a developing economy, where there are weak public institutional systems coupled with partisanship politics and bad cultural orientation towards government sector work inherited from a colonial rule.

Analyzing factors of delays in construction projects and determining their impact on project performance is necessary to better manage and control projects. Identification of root factors which may lead to project delay and increased cost is vital at the early or planning stage. Better identification of delay factors at the early stage can help the practitioners to reduce their impacts over the long run. Hence, the purpose of this paper is to propose an intelligent method to analyze causal relationships between delay factors in construction projects. The proposed approach is further validated by a real case study of the construction projects in West Azerbaijan province in Iran.

During the first phase, the fuzzy cognitive map (FCM) is drawn to indicate the causal relationships between the delay factors and the evaluation factors. For this purpose, the causal relationships between 20 delay factors and four evaluation factors are considered. Afterward, the effect of each factor on management goals is evaluated by using a hybrid learning algorithm. Delay factors are further prioritized by applying fuzzy data envelopment analysis (FDEA). In the second phase, an interpretive structural modeling (ISM) is employed to determine the root causes of delay factors.

Results of the first phase show that “supervision technical weaknesses for overcoming technical and executive workshop problems” and “Inaccurate estimation of workload, required equipment and project completion time” are the most significant delay factors. In contrary, “non-use of new engineering contracts” has the lowest impact on the management goals. Meanwhile, the results of the second phase conclude that factors like “Inaccurate estimation of workload, required equipment and project completion time” “weakness of laws and regulations related to job responsibilities” and “lack of foreseen of fines and encouragements in the contracts” are the most significant root factors of delay in construction projects.

This paper integrates three methods including FCM method, FDEA and ISM. In the first phase, FCM is drawn according to the experts’ opinions and concerning management goals and delay factors. Later, these factors are prioritized according to the results of running the algorithm and using the FDEA model. The second phase, the seven-step in the ISM methodology, is done to identify the root factors. To ensure that the root factors of the delay are at a lower level of hierarchical structure, delay factors are partitioned by drawing the ISM model.

Construction delay is the most common issue and creates many adverse effects in any construction industry. This study has investigated the views of engineers, project managers and contractors on the causes of delay during a construction phase to identify potential delay factors, negative effects on project delivery and prioritize the delay factors.

An extensive literature review and interview with construction stakeholders have been conducted to identify potential causes of construction delays and design a questionnaire survey. The final questionnaire was designed with 40 potential delay factors, and a total of 102 valid Bangladeshi construction stakeholders responded to it. The result was analyzed by the relative importance index.

Among the 40 delay factors, the top five most influencing delay factors are “delay in progress payments,” “rework due to mistakes during construction,” “lack of skilled labor,” “poor monitoring and control of activities” and “delays in the making of a decision.” The top five most damaging effects of delay are “time overrun,” “cost overrun,” “disputes,” “arbitration” and “litigation,” among ten negative effects of construction delay. All construction stakeholders believe that the owner-related, consultant-related and contractor-related groups are the first, second and third most important groups of delay factors.

The outcome of this study would enable the Bangladeshi construction industry to develop strategies to overcome delay factors and their harmful effects. By focusing on the outcome of this research and prioritizing the critical factors, the construction industry of Bangladesh will be able to minimize construction delay significantly and propagate the progress of the construction industry by delivering quality projects timely.

The purpose of this study was to assess the readiness of construction companies in Ghana to partner with foreign companies in international construction joint ventures (ICJVs).

Using the Verify End-User e-Readiness using a Diagnostic Tool (VERDICT) model, a survey with 31 construction companies was conducted to assess their readiness through four pre-defined elements of readiness.

The results indicated the readiness of construction companies to collaborate with potential foreign partners in ICJVs. Notwithstanding, certain areas such as management commitment to change, employee buy-in, process flexibility and technology infrastructure need improvement in some firms to achieve readiness. Government has a role in ensuring the readiness of domestic firms for the international market.

This study applies the VERDICT model, a tool originally designed to assess construction organizations’ readiness for e-commerce, to assess the readiness of Ghanaian construction companies for ICJVs.

A major concern for construction professionals at the rural road agency in Ghana is the problem of fixing contract duration for bridge construction projects in rural areas. The purpose of the study was to develop a tool for construction professionals to forecast duration for bridge projects.

In all, 100 questionnaires were distributed to professionals at the Department of Feeder Roads to ascertain their views on the work items in a bill of quantities (BOQ) that impact significantly on the duration of bridge construction projects. Historical data for 30 completed bridge projects were also collected from the same Department. The data collected were executed work items in BOQ and actual durations used in completing the works. The qualitative data were analysed using the relative importance index and the quantitative data, processed and analysed using both the stepwise regression method and artificial neural network (ANN) technique.

The identified predictors, namely, in-situ concrete, weight of prefabricated steel components, gravel sub-base and haulage of aggregates, used as independent variables resulted in the development of a regression model with a mean absolute percentage error (MAPE) of 25 per cent and an ANN model with a feed forward back propagation algorithm with an MAPE of 26 per cent at the validation stage. The study has shown that both regression and ANN models are appropriate for predicting the duration of a new bridge construction project.

The predictors used in the developed models are limited to work items in BOQs only of completed bridge construction projects as well as the small sample size.

The study has developed a working tool for practitioners at the agency to forecast contract duration for bridge projects prior to its commencement.

The study has quantified the relationship between the work items in BOQs and the duration of bridge construction projects using the stepwise regression method and the ANN techniques.

The purpose of this paper is to investigate the causes of road construction delays in Ghana and identify appropriate mitigation measures.

The initial approach involved an empirical analysis of 48 road projects to quantify the extent of time. This was followed by a survey of the perception of road agency and donor partner officials of the critical causes of road project delays.

About 70 per cent of road projects experience delays and 52 per cent experience cost overruns. The average time overrun and cost overruns of road projects in Ghana was 17 months and US$1.15m (or 22.5 per cent), respectively. The five most critical causes of road construction delays were delay in finance and payment of completed work by owner (client-related); inadequate contractor experience (contractor-related); changes in scope by the owner during construction (client-related); delay to furnish and deliver the site to the contractor (client-related); and inflexible funding allocation for project items (donor-related).

The most critical constraint of this study is the fact that findings are based on only the views of industry professional experts. It may be assumed that despite using broadly used terminology to refer to the causes of project delays, the interpretations by respondents may have differed from those intended. Further research could look at the correlation between time overrun and cost overrun using principle component analysis.

The identified delay factors are not unique to the road sector. From both academic and practical perspectives, the results emphasizes on the need for a holistic and integrated risk management model for the entire construction industry in Ghana.

The paper examined the causes of road project delays in the Ghanaian context and recommended remedial measures.

Cost overrun of construction projects has been a key concern for all stakeholders of projects for many decades now. Many studies have been done in the past and continue to be done currently to understand the underlying causes of construction project cost overruns. However, the empirical evidence of the causes seem not be clear due to the silo approach in understanding the causes of construction project cost overruns. The purpose of this paper is to take the debate a step forward by providing an understanding of the causes of project cost overrun from a system’s perspective, especially from a less researched environment.

Data were collected and analysed from 131 respondents who were mainly involved in construction works in public procurement entities in Ghana. A two-staged approach was employed in collecting data from the respondents. The first stage involved an interview session with key informants in the construction industry in Ghana to ascertain the detailed causes of cost overrun of construction projects. The second stage focussed on the validation of these detailed factors by a wider stakeholder group through questionnaires. Factor analysis was employed to consolidate these detailed factors into major causes of construction project cost overruns.

The results show that there are primarily four major causes of most public sector construction projects cost overruns. These four major causes of cost overruns are poor contract planning and supervision; change orders; weak institutional and economic environment of projects and lack of effective coordination among the contracting parties.

The study provides more insights as to the critical and major factors that underpin public sector construction projects cost overruns and more importantly provides a basis for common treatment of the multiple risk factors engendering public sector construction projects cost overruns.