Construction projects more often are facing with unpredictable delays and it is one of the biggest challenges to mitigate such delays. The aim of the present study is to explore causes and effects of delays on construction projects executed in Pakistan. Empirical methodology is used and the data is collected from 37 construction companies and questionnaires are distributed to 172 professionals. Various statistical tools are applied such as multiple regression to analyze the data. The finding of this analysis show that significant causes of delay factors are associated and ordered as contractor, client, consultant, material and equipment respectively; however, there is not any effect of delay on factors such as, labor and general environment. Finally, it is analyzed that construction projects delay lead considerably to project time overrun, cost overrun, project abandonment, and litigation. All these factors can bring projects on great risk. The analysis of the study gave considerable under-standings to stakeholders of construction projects in order to formulate strategies to overcome delay and their impacts.

In this research, which examines the factors affecting customer satisfaction in construction projects, the convenience sampling method was preferred, and data were collected from participants aged 18 and over by face-to-face survey method. Smart PLS statistical software was used to analyse the data with a structural equation model. According to the results of the analyses, cost-effectiveness and lead time stand out as factors affecting customer confidence. Customer confidence directly affects customer satisfaction. In addition, quality perception has a strong effect on customer satisfaction. According to the results of multiple group analysis, customer satisfaction varies according to different buyer segments. While quality perception, cost-effectiveness and lead time are at the forefront for those who buy a property for commercial use, customer confidence has a more decisive role for those who buy a property for personal use. In addition, groups with lower incomes prioritise cost-effectiveness and customer confidence, while groups with higher incomes attach more importance to lead time.

The purpose of this paper is to explore the influence of ICT on construction supply chain management (CSCM). Furthermore, this research proposes a model for ICT that can be used to test and improve CSCM within the Nigerian construction industry. The relationship between ICT and CSCM was highlighted in an integrated model. Structural equation modelling (SEM) was used to validate the hypothesised relationship by evaluating the responses of practitioners working in construction project management related firms using a sample of 214 respondents. The findings of this study show a link between ICT and CSCM on five (5) of the constructs on targeted construction firms engaged in supply chain (SC)-related construction activities in Port-Harcourt, Rivers State, Nigeria. This research is supported by the Technology Organisation and Environment (TOE) Model as a key theory of technology adoption. With an average R2 value, the SEM model is 76%, which is commendable (high). The current study offers an empirical and theoretical explanation of various aspects of ICT and CSCM, particularly in the Nigerian construction industry. As a result, this study adds to the body of knowledge by providing crucial insight into the influence of ICT on CSCM throughout the entire construction supply chain. The knowledge gained will aid industry stakeholders and the government in developing policies that will increase ICT adoption in current practice.

The objective of this study is to understand and evaluate the interactions of the Green Supply Chain Management enablers from a construction project's perspective in Imo State, Nigeria. This paper discusses the mix of practical intuition and determination through an interpretive structural modeling (ISM)-driven methodology. Eight (8) enablers were identified from a literature review, expert consultation, and real-world examples. While Matrice d’Impacts croisesmultipication applique a classement analysis (MICMAC) was used to identify dependence and driving power, it was used as a way to understand the relationship between the enablers. The study found that strong, yet fragile, forces drive GSCM adoption, with enhanced awareness of GSCM, increased market appeal for green construction projects, and government support through incentives and tax rebates.

Bidding price decision is a key issue for the contractors and construction companies. The success/failure of the contractors in competitive biddings is directly dependent on their bidding strategy. This paper aims to develop a hybrid statistical and mathematical modeling approach for determining the optimum bidding price in construction projects. By statistical analysis of historical data, some uncertain parameters like the number of competitors and the cost of the project are estimated. Then, a scenario-based mathematical model for bidding price decision is proposed. In order to present a model in more accordance with the real-world situations, factors like risk, minimum acceptable rate of return (MARR) and opportunistic behavior are taken into account. In order to achieve an insensitive solution to the change in the realization of the input data from the scenarios, a robust mathematical model is used. The performance of the model is evaluated through some numerical problems. Furthermore, sensitivity analysis of the key parameters and robustness evaluation of the model against uncertain parameters are conducted. To evaluate the model's effectiveness in real-world situations, a case study is analyzed by the proposed approach. Numerical results show that the proposed approach reduces the cost estimation errors and increases the average expected profit, which validates the applicability of the model in a real-world situation.

Distinguishing and diminishing risks in today’s projects are crucial for project success. Almost every project is facing several risks throughout the project timeline. Construction projects in Finland are also facing project risks due to the complexity of the project. To minimize the impact of risks, an effective risk management approach must be incorporated into every project which also includes the effectiveness and measurement of its performance. Managing the risks is an important job but measuring the RM performance is crucial. Thus, the objective of this study is to analyze the risk management (RM) and risk management performance measurement (RMPM) through an indepth empirical analysis of two complex construction projects of Finland. To achieve the objective, a qualitative case study is followed by the authors of this article to identify the RM processes, major and minor risks of the projects, RM strategies to mitigate them and RM performance measurement strategies. Overall, this article provides a comparative analysis of RM and RMPM for construction projects and it can be used as a basis for further research into RM perspective in complex construction projects.

Risk management in construction industry in several cases is not only incomplete regarding the unification of Occupational Health and Safety (OHS) hazards, but it is also incomplete in not having a systematic and innovative method to assess the impacts of these risks on the objectives of a project. An integrated hybrid Fuzzy Inference System-Latin Hypercube Simulation for the evaluation of OHS risks in construction projects is presented in this paper. Prioritization of safety risks systematically without human interference with fuzzy inference system gives the appropriate response to the identified risks. An advanced Monte Carlo simulation is also used for the evaluation of quantitative objectives of a project. This approach allows us to get away from discrimination and simulate the risks with high impacts but with low probabilities. In order to measure the relationship between the occurrences of each of the risks impacts on project objectives, the sensitivity analysis based on Pearson correlation coefficient is used to determine the usefulness of the proposed integrated hybrid method.

Construction projects are always problematic and difficult to manage in certain stages. Management in construction industry has been characterized as being weak, insufficient, nebulous, backward and slow to react against changing conditions. This study aims to identify risk and cost managed in the change management of the construction projects. Quantitative study is organized and questionnaire as an instrument is used to collect the information from the construction experts in Klang Valley, Malaysia. Random sampling techniques is used to collect the data, 105 questionnaires are distributed and 90 ones are returned. The correlation analysis shows significant relationship between cost, risk and change management. The reliability test indicates satisfactory result to continue the questionnaire where Cronbach coefficient alpha value exceeds the level of 0.70. The study finds that design changes, client and contractor related changes are mostly occurred in change management of construction projects. Tendering on the basis of an incomplete design, which then changes during the course of the construction has been found as the key reason of the changes. Through a paper based exercise, site memorandums (SM), quoted rates (QR), variation orders (VO) and monthly payment certificates (MPC) are the activities managed by the engineers. Proper planning is the most leading change management in the risk management. Implementation of risk man-agement was found the applied risk management in practice to hindrances. Since this is very vast debated subject, the study has recommended further investigation to include consultant firms for better understanding of the design changes leading to the cost and risk associated.

One of the most important issues on construction projects is to make sure that the project is completed on time. In this paper, we present an empirical investigation to verify the effects of four factors namely procedures, technical factors, financial strength and domestic affairs on creating delay on completion of projects. The study uses two measures of Pearson and Spearman correlation tests to examine all hypotheses of the survey. The study designs a questionnaire and distributes it among 40 experts chosen from managers and specialist in railroad construction projects in Iran. The results have confirmed that all four factors influence on creating possible delay on such project, significantly.