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A construction project is complex and requires dynamic modelling of a range of factors that deters time performance because of uncertainty and varying operating conditions. In construction project systems, the system components are the interconnected stages, which are time-dependent. Within the project stages are the activities which are the subsystems of the system components, causing a challenge to the analysis of the complex system. The relationship of construction project time management (CTM) with the construction project time influencing factors (CTFs) and the adaptability of the time-varying system is a key part of project effectiveness. This study explores the relationship between CTM and CTF, including the potentials to add dynamical changes on every project stage.

This study proposed a dynamic Bayesian network (DBN) model to examine the relationship between CTM and CTF. The model investigates the time performance of a construction project that enhances decision-making. First, the paper establishes a model of probabilistic reasoning and directed acrylic graph (DAG). Second, the study tests the dynamic impact (IM) of CTM-CTF on the project stages over a specific time, including the adaptability of time performance during disruptive CTF events. In demonstrating the effectiveness of the model, the authors selected one-organisation-single-location road-improvement project as the case study. Next, the confirmation of the model internal validity relied on conditional probabilities and the project knowledge experts' selected from the case company.

The study produced structural dependencies of CTM and CTF with probability observations at each stage. A predictive time performance analysis of the model at different scenarios evaluates the adaptability of CTM during CTF uncertain events. The case demonstration of the model application shows that CTFs have effects on CTM strategy, creating the observations to help time performance restorations after disruptions.

Although the case company experts' panel confirms the internal validity of the results for managing time, the model used conditional probability table (CPT) and project state values from a project contract. A project-wide application then will require multi-case data and data-mining process for generating the CPTs.

The study developed a method for evaluating both quantitative and qualitative relationships between CTM and CTF, besides the knowledge to enhance CTM practice and research. In construction, the project team can use model observations to implement time performance restorations after a predictive or reactive disruption, which enhances decision-making.

The model used qualitative and qualitative data of a complex system to generate results, bounded by a range of probability distributions for CTM-CTF interconnections during time performance disruptions and restorations. The research explores the approach that can complement the mental CTM-CTF modeling of the project team. The CTM-CTF relationship model developed in this research is fundamental knowledge for future research, besides the valuable insight into CTF influence on CTM.

The purpose of this paper is to develop a model for complex interconnected structure of various factors interacting with delay in order to identify the most important factors influencing and influenced by delay based on their interrelations.

Reviewing literature and interviewing with local experts selected from the Iranian construction industry, top 58 delay factors were identified and categorized into six major groups. The interrelations among these factors were, then, modeled using the system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were used subsequently for identifying the most significant factors influencing and influenced by delay through the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian community of consultants, contractors, and clients.

According to the analysis, eight out of the 58 factors were identified as the most influencing factors on delay, and nine factors were found to be the most influenced factors by delay in the field of delay analysis. The study also concluded that factors related to labors are the most important and influential factors. In addition, factors related to client were the most influencing factors and external-related factors were the least important ones. At the end, some recommendations to reduce variation of delay in the construction projects are presented as well.

Considering the interconnected structure of the factors, the paper identifies the most important factors interacting with time delay in construction projects.

The purpose of this study is to enhance material conservation and further the knowledge of efficient material management practices on construction sites. This study investigated contractors’ material management practices on construction sites in Nigeria. The factors influencing material conservation on construction sites were also examined.

Data were collected through a survey of 125 contractors who were administered with structured questionnaire, which resulted in 82 valid returned questionnaire. Data collected was analyzed using frequency, importance, utility and severity indexes.

This study found checking materials delivered to a site for specification, use of security personnel to safeguard materials and analysis of materials as key material management practices used on construction sites. Critical factors influencing material management are materials double-handling, management of surplus materials, subsequent design changes, excessive paperwork and not receiving materials at the expected time.

The implementation of the material management practices identified in this study will support contractors to efficiently manage materials on construction sites. The factors influencing material conservation reported in this study will also help contractors understand the critical factors that may affect material management in their construction sites and make better plans for future projects.

This study has reported key issues confronting contractors on the conservation of materials on construction site and various material management practices suitable for application in a wide range of infrastructure projects. This is significant because the construction industry is recording outrageous cost and time overruns of infrastructure projects, which are vital to economic prosperity of nations. The issues and panaceas presented in this study had received scant consideration in construction literature in the sub-Sahara Africa. This study represents a novel synthesis and adds value to knowledge in a manner that has not been reported in previous studies.

Modular integrated construction (MiC) is the most advanced off-site construction technology. However, the application of MiC for high-rise buildings is still limited and challenging. One critical issue is tower crane layout planning (TCLP) to guarantee safe and efficient multiple crane-lifts for module installation, which, however, has been insufficiently explored. For filling this knowledge gap, this paper aims to systematically explore the critical considerations on TCLP for high-rise MiC to support contractors in determining the optimal crane layout plan.

This study employed a multimethod strategy. First, previous studies on TCLP and critical features of MiC were reviewed to develop a conceptual model of TCLP considerations. Second, expert interviews with 15 construction planners were conducted to identify the critical TCLP considerations for high-rise MiC. Third, a multicase study with three high-rise MiC projects was undertaken to demonstrate and verify the identified considerations.

The paper characterises critical considerations on TCLP as performance criteria and influencing factors and identifies 7 critical performance criteria and 25 influencing factors for high-rise MiC. Specifically, the features of MiC (e.g. various modularised layout design, heavyweight and large size of modules) were found to significantly affect the crane layout performance (i.e. technical feasibility, safety and economic efficiency).

The paper is the first-of-its-kind study on crane layout planning for high-rise modular buildings, which contributes a two-stage multicriteria decision-making framework integrated with systematic TCLP considerations. The findings should help contractors determine safe and efficient tower crane layout plans for high-rise MiC projects.

This paper aims to develop a multivariate model that will be applicable to the Nigeria construction industry.

A self-administered questionnaire survey was used to source information on project scope factors and qualitative factors considered in the study. Principal component regression was used for data analysis and model development, using SPSS 16.0 for windows, while T-test was used for model testing and validation.

The study found that delay in progress payment by owner, lateness in revising and approving design document by owner, delay in delivering the site to the contractor by the owner, change order by owner during construction, complexity of project design, poor site management and supervision by contractors, and rain effect on construction activities are qualitative/non-project scope factors with good predictive abilities.

Cost, gross floor area and number of floors were the only quantitative/project scope factors considered in the study. The developed models therefore do not account for any variation in duration which may arise from other project scope factors, such as location, procurement route and type of contract.

The qualitative factors which emerged as predictors in the derived models increased the accuracy of the models. The models developed therefore serve as useful construction time prediction tools for both consultancy firms and contractor organizations in the Nigerian construction industry.

It is generally accepted that organisational culture is capable of influencing how project organisation performs. It can also impact on how people set individual goals and objectives, perform their roles, tasks and deploy resources to achieve set objectives. The purpose of this paper is to examine the influence of organisational culture on the occurrence of rework in Nigerian construction industry.

The research adopted mixed method research using both quantitative and qualitative approaches to elicit information. Though, the result of the questionnaire survey was presented in this paper. Exploratory factor analysis was used to identify which variables measured attributes of the same underlying proportions, while descriptive statistics and multiple regression analysis were used to establish the influence of organisational culture on rework.

The study identifies 14 factors as causes of rework from the result of factor analysis. The outcome also indicates that leadership style, success criteria and management style are important organisational culture dimensions. Poor management practices and lack of teamwork are found to be largely responsible for poor project delivery due to rework occurrence.

The research will be of significant benefit to both the academic and industry practitioners. The result of the research will provide academics with useful insights into the influence of organisational culture on project delivery by undertaking future research to inform better understanding. The research will also provide practitioners with good understanding of how culture within their organisations can influence the performance of their subordinates or employees. Further research is encouraged to investigate the influence of management and leadership style on project delivery in the context of Nigeria.

This study is the first attempt to investigate the influence of organisational culture on occurrence of rework empirically in the Nigerian construction industry. There is paucity of research focusing on this area as it affects project delivery.

As the construction industry undertakes complex and innovative projects, improving the labor productivity that helps accomplish the triple bottom line dimensions (time, schedule and performance) assumes greater importance. It is of even greater importance in developing countries like India where most of building construction takes place on a manual basis. In response, the purpose of this paper is to develop an evaluation framework for assessing the labor productivity in the construction industry. The application of the framework is demonstrated for the case of the Indian construction industry and key insights are reported.

The literature review and expert survey has helped to identify 4 main dimensions and 14 different factors affecting labor productivity in the construction industry. An application of Decision-Making Trial and Evaluation Laboratory was deployed to investigate into the causality of labor productivity dimensions.

The research delivers a quantitative labor productivity assessment framework for evaluating causal relationships among the factors influencing labor productivity in the construction industry. The result obtained for a typical case of the Indian construction industry showed that the safety at construction site has a profound effect on labor-related factors.

The paper makes two contributions in the domain of labor productivity assessment in the construction industry. First, it proposes an evaluation framework to investigate into the causal relationships among the labor productivity factors. This proposed framework is robust and can be used to compare the performance of different construction projects using an integrated approach proposed by this research. Such exploratory analysis would assist benchmarking studies. Second, it undertakes an empirical investigation for the Indian construction industry to develop key managerial insights and extend policy-related recommendations.

The purpose of this paper is to explore the influencing factors of cost performance of design-bid-build (DBB) and design-build (DB) projects and comparing the differences of influencing factors between these two delivery methods.

This research identified and refined 14 influencing factors through literature review and academic expert discussions. Questionnaire survey was conducted to collect data about the influencing factors and project cost performance. Then those factors were reduced to four components by factor analysis. Logistic regression analysis is used to investigate the relationship between four principal components and project cost performance.

The results indicate that the significant influencing factors of project cost performance of DBB projects and DB projects are different. For DBB projects, owner abilities, such as owner team ability, owner experience, and owner finance, are important influencing factors causing cost overruns, while for DB projects cost performance is more sensitive to the contractor abilities, namely, contractor team ability, contractor finance, contractor experience, etc.

The results of the paper are mainly derived by quantitative research method based on the survey of 144 samples, so the results may need validation by qualitative studies. Further research could apply case study or interview to validate the findings in this research. In addition, project type and location are not considered as control variables due to the limited number of samples, future research could be conducted to investigate their relationship with project performance.

The findings of this research not only help practitioners have a better understanding of the factors influencing project cost performance, but also provide some guidelines for practitioners to pay attention to different factors to better control the cost performance within different delivery systems.

Owner ability and contractor ability are found to be of different importance in influencing cost performance of DBB and DB projects. This research extends previous research on cost management by considering different significant factors in influencing project cost performance within DBB and DB projects.

The aim of the study was to develop a practical construction time model for public building projects in Addis Ababa, Ethiopia.

This research work used regression analysis and also exploratory scatter and residual plot techniques. Simple and multiple regressions were used for the investigation of the best fit time model. The analyses were carried out using IBM SPSS statistical software, version 20.

The result revealed that the Bromilow time-cost principle was moderately applicable. However, the cubic regression model (CUB) was found a better time-cost relationship. On the contrary, the study has shown a poor relationship between actual time and gross floor area. Furthermore, multiple linear regression analysis (MLR) consists of three statistically significant variables were found a better fit time model.

The study is limited to only six project scope factors. Further research is recommended to include more building projects of similar type and implications of other factors to improve the reliability of the models.

The developed model was not intended as a replacement for detailed construction scheduling techniques. The resulting model is applicable for front-end predictions of construction duration.

The main parties involved in the building projects should apply the model for benchmarking a precise construction time during the early planning phase.

The objectives of this paper are to determine the current level of construction time performance of public sector projects; and to identify variables related to project characteristics and variables associated with excusable delay that have significant effects on the construction time performance of public sector civil engineering projects in Malaysia.

This study adopted a quantitative approach. Original contract duration and actual contract duration of 244 projects were collected from project files to assess current level of CTP. Variables related to project characteristics and excusable delays were then regressed against time performance index using multiple regression analysis to identify variables that had significant relationships with construction time performance.

The construction time performance of the public projects in Malaysia was found to be affected more by variables related to excusable delays than project characteristic variables.

This study is focused on public sector civil engineering projects limited to irrigation and drainage, road and sewerage projects where building was not included.

Excusable delays were found to be common causes of delay in significant numbers of public projects.

The variables that were found to be significant should be given attention by planners and designers in order to minimize the occurrence of delay in public projects.