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The purpose of this research is to advise on UK construction delay strategies. Critical delay factors were identified and their interrelationships were explored; in addition, a predictive model was established upon the factors and interrelationships to calculate delay potentials.

The critical causes were identified by a literature review, verified by an open-ended questionnaire survey and then analysed with 299 samples returned from structured questionnaire surveys. The model consisted of factors screened out by Pearson product–moment correlational coefficient, constructed by a logical reasoning process and then quantified by conducting Bayesian belief networks parameter learning.

The technical aspect of construction project management was less critical while the managerial aspect became more emphasised. Project factors and client factors present relatively weak impact on construction delay, while contractor factors, contractual arrangement factors and distinctively interaction factors present relatively strong impact.

This research does not differentiate delay types, such as excusable vs non-excusable ones and compensable vs non-compensable ones. The model nodes have been tested to be critical to construction delay, but the model structure is mostly based on previous literature and logical deduction. Further research could be done to accommodate delay types and test the relationships.

This research updates critical delay factor list for the UK construction projects, suggesting general rules for resource allocation concerning delay avoidance. Besides, this research establishes a predictive model, assisting delay avoidance strategies on a case-by-case basis.

Delay causations in infrastructure projects are well reported in normative literature. However, very little is known regarding the environment-related causations which can assist in developing mitigation strategies. This study aims to examine critical causations of overruns in marine construction projects.

A total of 73 delay factors, grouped into 16 themes, were identified from literature. Data relating to the significance of each factor were collected through a questionnaire survey administered to 151 respondents. A total number of 126 valid responses were retrieved. Reductionist methodology was used to identify the statistical significance of each delay causation.

All 73 variables analysed in the study are significant, including communication issues amongst stakeholders, inadequate planning, safety issues, deficient technical instructions and inappropriate management approaches. Others include design and construction issues, issues with project organisational structures, political and cultural factors, environmental uncertainties and complexity in resource management. The study also found estimation errors, owner's attitude, financial issues, delay in approval processes, construction strategies and unavailability of appropriate technologies for the work as influencing factors. These findings are consistent with earlier studies on other forms of projects, but they further confirm that they are very relevant to marine projects.

Due to the diversity of marine projects, overrun factors are likely to manifest in different ways in varying project circumstances. In addition, economics, technologies and local legislation often influence project situations differently.

The implications of these findings will assist in growing the practicality of scheduling and contract administration theories in marine projects. Although delay causations that have been reported in normative literature are relevant to marine construction, however, some of the causations are more severe in marine projects. It is important that planners and project stakeholders are mindful of this such that they can develop their expectations to tolerate variability rather than trade impracticable blames.

Determining delay factors specific to marine construction projects assists stakeholders and project management community in developing dedicated strategies applicable in scheduling to prevent and correct obstructions caused by overruns. Since projects are different in types and sizes, delay observations cannot be generalised.

The aim of the research presented in this paper is to develop a new methodology for the comparative analysis and quantification of the impact of delay factors in construction projects.

A framework of delay analysis system (DAS) is developed using the findings from the literature review and industry survey. Frequency and severity index method are used to identify and compare the delay factors in Libya and the UK. Statistical experiments are used to test the relationship and confidence level of survey results. A case study of a building project is used to evaluate the functions of the DAS.

The survey illustrated that construction projects suffered more delays in Libya than the UK. The survey results indicated that critical delay factors are quite different in both countries. The case study found that a building project might be delayed by 41 to 46 days in Libya, or 34 to 38 days in the UK, when considering the most critical delay factors.

The outcome of the study is expected to help policymakers, decision makers and others stakeholders within the construction industry to improve the industry's processes and reduce the impact of delay in the construction operations.

This paper provides a new methodology and a delay analysis system that assists construction managers to analyse and quantify the impact of delay factors in building projects. The system is also expected to provide timely information about possible delays so that necessary measures can be taken to reduce the impact of delays and improve project delivery.

The international energy agency states that the world’s primary energy needs are expected to grow to 55 per cent until 2030. Therefore, oil and gas industry as the main energy source will be more crucial where building or advancing new capacities is required. Because the reports highlight the delay as a recurring problem, thereby, more in-depth investigation to find out the main contributing causes is needed.

Root cause analysis (RCA) was applied to identify, rank, analysis and categorize the main sources of this problem.

Based on RCA procedure; Pareto analysis showed that 84.7 per cent of the delay is because: the radar chart indicated no difference in perception of the participants regarding the importance of the root causes, correlation analysis suggested strong relationship among the participants and the cause-and-effect diagram emphasized more on operational, human and equipment categories, which in total account for 51.86 per cent of the delay.

The risk planners of large-scale projects can consider these root causes as the main items to analysis, monitor and control, as they are vitally important for project success.

As a developing nation, Bangladesh still has scarce technological applications in the construction sector, which results in construction delays. This paper aims to propose a framework that will diminish manual labor, reduce human error and apply four-dimensional (4D) building information modeling (BIM)-based solutions to mitigate and prevent construction project delays.

First, a systematic literature review was conducted on analyzing the construction delay scenario in the context of Bangladesh and other countries. Next, a 4D BIM-based framework was developed using Autodesk Navisworks Manage. Finally, it was used to run on-site simulations on an ongoing construction project which faced delays because of design errors and inefficient planning.

Affirmative results were found from applying these methods through real-time project simulation. The current status of the project and the status after using BIM technology were compared. It was observed that during both the preconstruction and execution phases, the application of 4D BIM could reduce the delay posed by design error and inefficient planning.

The project manager and the design engineers can use these frameworks to review their projects. For the design engineers, the preconstruction phase portion of the framework will help identify the probable errors in the design. For the project managers, keeping track of time using the execution phase portion of the framework will be resourceful.

To the best of the authors’ knowledge, this study is the first to assess the significant delay factors endemic in Bangladesh and develop a BIM-based technological solution. This study is solely dedicated to reforming the construction techniques in Bangladesh through the application of 4D BIM technology.

The purpose of this paper is to present a systematic review of studies on CPD published between 1985 and 2018.

Before identifying common CPD, research trends were examined in terms of the number of publications in selected journals, as well as the contributions made by countries, institutions and researchers.

The findings reveal that researchers from developing countries have contributed the most to identifying the causes of CPD. A total of 149 causes of CPD were identified in a thorough review of 97 selected studies. Weather/climate conditions, poor communication, lack of coordination and conflicts between stakeholders, ineffective or improper planning, material shortages, financial problems, payment delays, equipment/plant shortage, lack of experience/qualification/competence among project stakeholders, labour shortages and poor site management were identified as the ten most common CPDs.

Being the first study of its type, this study provides insight into the research output related to this area and identifies a common set of CPDs, which may provide a better understanding of the key areas requiring attention where steps should be taken to minimise or control factors causing delays in construction projects.

Construction projects within Malaysia are plagued by time overruns that can transform what should have been successful projects, into those incurring additional costs, disagreements, litigation and in some cases abandonment. To help better understand this problem, the purpose of this paper is to investigate Malaysian project characteristics in relation to time overruns.

In total, 150 Malaysian quantity-surveying organisations provided data relating to recent projects they have worked on. Project characteristics considered in analysis are new build and refurbishment, public and private sectors, procurement methods used, nature of projects and tendering methods.

Public sector projects were found more prone to overruns than those in the private sector; refurbishment projects experienced better time performance than new build; construction management demonstrated better time performance than design-build or traditional procurement; and infrastructure projects/negotiated tendering, performed better than selective/open tendering, respectively. The study also developed a linear model to predict project duration, based on contract period.

The study adds a geographically specific detailed analysis to the extant literature of project performance generally and to that of time overruns more specifically.

Findings provide stakeholders with information that may help mitigate the frequency of project delays among construction projects, especially in Malaysia.

The analysis and modelling of time overrun in relation to Malaysian project characteristics in this way is novel.

In this paper, the dominant techno-rational view of studying delays in projects is challenged. In so doing, the purpose of this paper is to urge for more attention paid to studying the intentionalities of the planners involved in planning the schedule for projects.

In this paper, the authors take a critical approach to review a range of literatures related to the concept of project delays. Through this review, the authors render the relative absence of acknowledging intentionality in the study of delays problematic. Therefore, the authors inject fresh insights into how intentionality can play a crucial role in advancing the understanding of project delays.

Prevailing research tends to assume the primacy of the project plan and conceptualise delays as a consequence of flawed execution. The review offers three possibilities for reconceptualising delays as a consequence of flawed plans. In so doing, the authors refocus the attention on how intentionality could play a crucial role in shaping “inaccurate” plans, which in turn could lead to the creation of delays.

As a consequence of this review paper, the authors invite scholarship into project delays to move away from finding “cause-and-effect” mechanisms to attend more closely to the role intentionality plays in creating delays, whether intended, unintended, or imagined.

This paper brings intentionality to the fore to challenge the assumptions over the nature of delays. In so doing, the review expands the understanding of project delays by incorporating unintended, intended, and imaginary perspectives.

This paper aims to establish the most underlying factors causing construction projects delay from the most applicable.

The paper conducted survey of experts using systematic review of vast body of literature which revealed 23 common factors affecting construction delay. Consequently, this study carried out reliability analysis, ranking using the significance index measurement of delay parameters (SIDP), correlation analysis and factor analysis. From the result of factor analysis, this study grouped a specific underlying factor into three of the six applicable factors that correlated strongly with construction project delay.

The paper finds all factors from the reliability test to be consistent. It suggests project quality control, project schedule/program of work, contractors’ financial difficulties, political influence, site conditions and price fluctuation to be the six most applicable factors for construction project delay, which are in the top 25% according to the SIDP score and at the same time are strongly associated with construction project delay.

This paper is recommending that prospective research should use a qualitative and inductive approach to investigate whether any new, not previously identified, underlying factors that impact construction projects delay can be discovered as it followed an inductive research approach.

The paper includes implications for the policymakers in the construction industry in Nigeria to focus on measuring the key suppliers’ delivery performance as late delivery of materials by supplier can result in rescheduling of work activities and extra time or waiting time for construction workers as well as for the management team at site. Also, construction stakeholders in Nigeria are encouraged to leverage the amount of data produced from backlog of project schedules, as-built drawings and models, computer-aided designs (CAD), costs, invoices and employee details, among many others through the aid of state-of-the-art data driven technologies such as artificial intelligence or machine learning to make key business decisions that will help drive further profitability. Furthermore, this study suggests that these stakeholders use climatological data that can be obtained from weather observations to minimize impact of bad weather during construction.

This paper establishes the three underlying factors (late delivery of materials by supplier, poor decision-making and Inclement or bad weather) causing construction projects delay from the most applicable.

A voluminous amount of research has been conducted on project delay in the recent past; however, the persistence of the problem demands that a relentless quest for solutions is upheld. It can be argued that the problem is likely to be more pronounced in areas where development pressure is the highest. One such area is the United Arab Emirates (UAE) where the construction industry is said to have reached an unparalleled position in the last decade. The purpose of this paper is to identify the most significant causes of delays in the UAE construction industry.

A survey was conducted targeting three key types of stakeholders, namely clients, contractors and consultants. Validity and reliability were achieved by first assessing the plausibility of construction delay variables in UAE. The verification took place after the interpretation of quantitative data, this involved presenting the findings to the main participants. The validation took place after the verification process. Rigour was achieved by engaging participants previously engaged in UAE and focussing on verification and validation, this included responsiveness of the researchers during group discussions, methodological coherence, appropriate sampling frame and data analysis.

From the analysis, the study unveiled a number of important causes of construction delays in the UAE, ranging from unrealistic contract durations to poor labour productivity, with consultants and clients seemingly shouldering the bulk of the “blame game”. It was evident that all the three main stakeholders in a construction project (clients, consultants and contractors) need to change their existing practices in order to ensure timely delivery of projects. The research also confirms that delays are country specific and appear to be time related hence they should be viewed within the social, economic and cultural settings of the UAE.

A major limitation of the current study was the use of a single approach to facilitate data collection.

It was evident that practitioners need to change their existing practices in order to ensure timely delivery of projects. Continuous coordination and relationship between practitioners are required through the project life cycle in order to solve problems and develop project performance.

As suggested in this study methods should be put in place to reduce long and bureaucratic processes within the client’s organisations, not only to fulfil the requirements of the contract but also to suite fast-track projects.