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The study of the success factors of a project is a means of improving the effectiveness of the project. Hence, the purpose of this paper is to identify various determinants and validate their effects on the success of public construction projects in Ethiopia.

The study uses a questionnaire survey to collect data and structural equation modeling (SEM) to empirically examine the effect of determinants, namely, project manager’s competence, owner’s competence, management support and updates, scope clarity (SC), effective partnering, and monitoring and feedback on success of public construction projects which has been measured by performance on cost, schedule, quality and no-dispute parameters. Out of 407 questionnaires distributed among the selected respondents, a total of 200 completed questionnaires were received. The response rate was 49.1 percent.

The results depict that the investigated factors have a significant positive influence on the success of public construction projects with path coefficient of 0.82, the model is substantial in representing the relationship of the factors on the success of public construction projects and the factor “SC” plays a decisive role in the success of a project as it has a path coefficient of 0.98, and it is followed by “effective partnership, and owner’s competency” having equal path coefficients of 0.96.

The proposed model was validated by collecting data from many senior construction executives in Ethiopia only, hence may induce certain bias in the outcome of the study.

The significance of six constructs is highlighted to help the project manager in understanding the role of various constructs in public construction projects. The results would enable researchers and industry practitioners to focus on a few factors to take proactive measures and get the optimum result in the successful delivery of public construction projects. Utilization of SEM in the understanding of the significance of various success determinants is an important contribution to the body of theoretical literature in construction management. Since the model includes constructs, SEM has been used for construct validation.

The implications of this study are not limited to researchers and construction industry practitioners alone. The Ethiopian Government could adopt the results of this study to reduce/avoid additional cost incurred due to the poor performance of public construction projects which results in poor utilization and increased social and economic costs. Furthermore, the study may also help the government efforts to enhance efficiency and effectiveness in the use of public funds for construction projects which are an ongoing concern of government and of the international development community.

This work is original and has neither been published nor under consideration for publication elsewhere. This study can add value to the construction professional in public construction project management as well as the Government of Ethiopia.

Delays in construction projects can be very expensive due to their adverse effects on project cost and profit margin. To overcome this problem, clients in the construction industry sometimes use schedule incentive/disincentive (I/D) contracting strategy. However, previous studies have shown that inadequate understanding and wrong implementation of schedule I/D provisions could result in unintended results. Moreover, the use of the I/D contracting method is in its initial stages in many countries such as India. The purpose of this paper is to identify various factors that are essential for schedule I/D success in construction projects.

A questionnaire survey was conducted among experienced professionals (clients, contractors and consultants) from across the Indian construction industry.

Top success factors related to clients in the descending order of their importance are: realistic targets; detailed guidelines for I/D implementation; close coordination with other stakeholders; correct estimation of I/D duration and amount; and imposing disincentives after due consideration. Meanwhile, factors related to contractor organisations are: continuous monitoring and control; thorough understanding of schedule I/D targets; specific considerations in appointing senior project personnel; effective communication; and proper labour management.

This empirical research was conducted in the Indian construction industry. Similar studies from developed construction markets may provide more insights into the successful use of schedule I/D provisions in construction projects.

The uptake of these recommendations is likely to increase the success of schedule I/D provisions in construction projects, especially in developing countries where the use of I/D contracting strategy is not very popular.

This research highlights the specific roles of both clients and contractors in the success of schedule I/D projects in developing countries such as India.

A number of previous studies have investigated international construction project risks and have proposed risk mitigation measures without examining their interdependence. The purpose of the current study is to identify the influence of various risk mitigation measures on macro-level risk factors in the international marketplace.

The authors initially identified 26 risk variables and nine risk mitigation measures through a literature review, which were then verified for their pertinence to international projects by three experts. Subsequently, 105 questionnaire survey responses were collected and analysed using factor analysis and structural equation modelling to test the interrelations between the risk variables and mitigation measures.

The findings suggest that joint ventures with local partners is emerged as the most critical risk mitigation measure that influences the international projects, which are exposed to political, project and firm-specific risk factors. Further, it is worth noting that among the recognised risk mitigation measures in international projects, offering more local employment is the least critical mitigation measure in the international projects.

The findings of this study are based on the macro-risk factors encountered by Indian construction firms in international projects, mostly from specific Asian and African regions. Thus, the opinions of construction firms from the developed countries might be different.

The main contribution of this study to existing knowledge is empirical evidence of the interrelationships between risk mitigation measures and risk factors that are portrayed as latent variables of different manifest risk variables. The generated model can assist construction firms in emphasising several risk mitigation methods, in order to reduce risk and enhance performance in international construction projects.

International construction projects encompass various risks, and it is essential to evaluate and manage them to achieve project and firms’ success. As approaches to addressing international market risks vary from one country to another, the purpose of this paper is to identify the critical risk factors of embarking on international construction projects according to Indian experiences.

After primarily verifying the identified 26 risk variables, a questionnaire survey was conducted to draw upon the views of experts who possess international project experience. The 105 responses were analyzed using univariate and multivariate techniques. An analysis of variance identified the significant variables that influence overall performance on international construction projects, which were then grouped according to underlying relationships using factor analysis to determine the specific risk factors. Furthermore, considering these risk factors as independent variables and overall project performance as a dependent variable, a stepwise regression analysis was carried out to identify relatively critical risk factors.

The results revealed that of the identified four risk factors, the project-specific risk factor emerged as the foremost critical risk factor, the economic and market-specific risk factor was the second most critical risk factor, the firm-specific risk factor was the third most critical risk factor and the political-specific risk factor was the least critical risk factor. These findings were also validated appropriately.

This study was limited to the data acquired from Indian construction firms, predominantly consultants and contractors. Though the survey respondents possessed adequate familiarity in international construction, commonly perceived limitations in self-reported surveys such as the lack of conscientious responses and reporting bias were not an exception in this research.

The risk factors and their criticality – as identified in this study – can aid the multinational firms and international aspirants to prioritize the critical aspects and develop a suitable risk mitigation strategy to achieve greater project success in international market.

By investigating the various risk factors that influence overall performance of international construction projects, this research considerably contributes to the body of knowledge pertaining to international construction risk management that will enable firms from India and similar developing nations to emphasize on critical risk factors.

The purpose of this paper is to evaluate and rank the success attributes and success factors of the construction organisations.

The viewpoints of the experts engaged in Indian construction industry were used to apply factor analysis and fuzzy preference relation with the help of a questionnaire survey.

The findings indicate that project factor is the most important factor, whereas favourable market and marketing team is the least important factor. Among the success attributes, the availability of qualified staff is the most important attribute, and health and safety management plan is the least important attribute.

Findings of this study are based on the viewpoint of the experts of construction organisations engaged in building projects in India.

The study can be used as a yardstick for the top management of construction organisations to manage their resources efficiently and to develop a strategy to be successful in this business.

Indian construction industry provides direct and indirect employment to the people of India. Hence, the success of construction organisation will contribute to the development of the society and ultimately the nation.

In the earlier studies, researchers have used various statistical tools to identify and evaluate the alternatives for the success factors of construction organisations, but very few of them have tried to assign weights to those alternatives. The simple ranking of alternatives using various statistical analyses, such as mean and standard deviation, relative importance index, etc., is not much useful unless their relative weights are known. With the help of the present study, the authors have tried to overcome the shortcomings of the previous research works.

The Afghan construction industry faces resource shortages and heavily relies on foreign aid to fund public projects on the path to recovery and reconstruction. While the resource constraints demand cost-efficient delivery of construction projects, many Afghan public projects experience delays and cost overruns. This study aims to evaluate various attributes and factors influencing cost performance in public construction projects in Afghanistan.

The literature review and Delphi method identified 30 cost performance attributes relevant to the context of Afghanistan. Next, a questionnaire survey was conducted with construction management professionals working in the public sector in the Afghan construction industry to evaluate these attributes.

This study found that the lack of resources, poor project management skills and corruption in procurement are the leading causes behind cost overruns in Afghan public projects. This study also identified five latent factors influencing cost performance in public projects in Afghanistan: competency of the project team, socioeconomic and political support, governance and public procurement, planning and risk management and project characteristics.

The exploratory factor analysis did not reveal the relative significance of different cost performance success factors. Moreover, the ranking of cost performance attributes is based on the responses from the public sector construction professionals only.

The construction industry in Afghanistan significantly contributes to the country’s social and economic growth and employment. This study’s findings will help researchers, project sponsors, government departments and industry practitioners interested in improving the cost performance in Afghan public projects.

Given the scarcity of research in war-affected and conflict-sensitive regions, this study fills a research gap on project cost performance by providing insights into the cost performance success factors in public projects in Afghanistan.

Time overrun is one of the most significant issues being faced by Ethiopian construction industry today. For effective time performance, the successful execution of construction projects and keeping them within prescribed schedule is very important. The purpose of this paper is to determine the factors responsible for impacting performance of Ethiopian public construction projects.

Based on the literature and personal interviews of key construction professionals in Ethiopia, a list of 35 project performance attributes having strong effect on performance of the projects were identified and a questionnaire using these attributes were prepared and administered in Ethiopia. Statistical analysis of responses on the attributes segregated them into distinct sets of success attributes and failure attributes. The attributes were also subjected to factor analysis separately for better understanding and it resulted into six success factors and six failure factors. The relative importance of these factors was established with multiple regression analysis.

It is concluded that the success factor “owners’ competence” can significantly contribute to schedule performance of Ethiopian public construction projects. On the other hand, “conflict among project participants,” “poor human resource management,” and “project manager’s ignorance and lack of knowledge” are detrimental to schedule performance of Ethiopian public construction project.

As with any other opinion-based study, the present study also has some limitations. The majority of respondents have evaluated the projects in their execution stage only and very few have evaluated the performance of projects in planning and operation stages and also the study has been carried out in the Ethiopian context. Hence the study has a limitation in these regard.

The results presented in this study provide sufficient evidence and useful understanding to researchers and industry practitioners to focus on a few factors than giving attention to all the factors and take proactive measures for the timely delivery of public construction projects.

The poor quality of construction work in war-affected regions is a significant issue. The large-scale destruction to the existing infrastructure from the war necessitates cost and time-efficient delivery of construction projects during and post-war to bring normalcy to affected lives and places. Consequently, there is always a tendency to finish construction projects in the shortest possible time on a limited budget without following the proper quality management processes. However, the poor quality of construction projects continues to affect the country's development, growth, credibility, reputation, and public safety for several years after the war. To this end, the present study was conducted to evaluate the significant attributes and factors contributing to the poor quality of construction projects in the war-affected Afghan construction sector.

A total of 31 attributes influencing construction project quality were ranked based on 110 completed survey responses collected from Afghan construction professionals. Moreover, independent samples t-test, Spearman's rank correlation test, and exploratory factor analysis were conducted.

The study found a moderate consensus between clients and contractors on attributes' rankings. In addition, the independent samples t-test showed statistically significant differences in means values of responses from clients and contractors for eight attributes. Based on factor analysis, 19 important attributes (median value greater than or equal to four) were classified into 4 latent factors – (1) poor-quality assurance and control, (2) unethical practices, (3) design and drawing errors, and (4) knowledge and skills gap.

Evaluating the factors affecting the quality of construction projects will help clients, government departments, and construction practitioners improve the construction quality management practices. The findings will also inform the policies and procedures of international aid providers.

The purpose of this paper is to investigate the factors that discourage construction workers from undergoing skill development training, and to suggest steps for making the training programmes more attractive to them.

The research used an exploratory approach of unstructured interviews with construction workers (bottom-up approach), and the guided group brainstorming technique with the help of experienced industry professionals (top-down approach).

From the unstructured interviews, five inhibiting factors were identified which discourage construction workers from undergoing training. Furthermore, to recognise the causes of the inhibiting factors, 13 possible causal attributes (PCAs) were identified from the brainstorming approach. Subsequently, these PCAs were classified into five possible causal factors (PCFs) on the basis of those concerned stakeholder(s) that are most closely involved and most responsible for fixing them.

The research provides recommendations to practitioners for pragmatic and permanent resolution of each of the PCFs, which serves as a framework for the construction industry to reduce the scarcity of trained workers in the industry. Also, the results may serve as a model for the planning and successful implementation of any new skill-training programme for the construction workers in any developing economy, such as India.

This research contributes to the literature by highlighting the views of construction workers on the training establishments, which very few studies have considered in the past. Also, the research provides a detailed process of brainstorming approach, which will help the research community to appreciate its use in studies related to the construction industry.

The purpose of this paper is to develop a qualitative framework for the selection of the most appropriate optimization algorithm for the multi-objective trade-off problem (MOTP) in construction projects based on the predefined performance parameters.

A total of 6 optimization algorithms and 13 performance parameters were identified through literature review. The experts were asked to indicate their preferences between each pair of optimization algorithms and performance parameters. A multi-criteria decision-making tool, namely, consistent fuzzy preference relation was applied to analyze the responses of the experts. The results from the analysis were applied to evaluate their relative weights which were used to provide a ranking to the algorithms.

This study provided a qualitative framework which can be used to identify the most appropriate optimization algorithm for the MOTP beforehand. The outcome suggested that non-dominated sorting genetic algorithm (NSGA) was the most appropriate algorithm whereas linear programming was found to be the least appropriate for MOTPs.

The devised framework may provide a useful insight for the construction practitioners to choose an effective optimization algorithm tool for preparing an efficient project schedule aiming toward the desired optimal improvement in achieving the various objectives. Identification of the absolute best optimization algorithm is very difficult to attain due to various problems such as the inherent complexities and intricacies of the algorithm and different class of problems. However, the devised framework offers a primary insight into the selection of the most appropriate alternative among the available algorithms.