Construction delays are common in construction industry and create major concerns for project performance. Construction delays are caused by many factors. The aim of this paper is to identify delay factors on construction projects and analyze these factors with the relative importance index method. For this purpose, 83 different delay factors were identified, categorized into nine major groups, and visualized by the Ishikawa (fishbone) diagram through detailed literature review and interviews with experts from the construction industry. The relative importances of these delay factors were quantified by the relative importance index method. The ranking of the factors and groups were demonstrated according to their importance level on delay. According to the case study results, the factors and groups contributing the most to delays (those needing attention) were discussed, and some recommendations were made to minimize and control delays in construction projects.

It is necessary to identify critical success factors (CSFs) that affect the construction process. This paper’s aim is to define the CSFs considering views of all construction project stakeholders. The contribution of this paper is to categorize project success factors into categories and quantify the effect of each category taking into account the effect of all stakeholders on project efficiency and progress. To achieve this objective, a comprehensive literature review was carried out. After literature review, 40 success factors were compiled into seven categories: project-related factors, company- and work-related factors, client-related factors, project management factors, design-team-related factors, contractor-related factors, project-manager-related factors. Consequently, a survey including these listed success factors was prepared and distributed to various experts in the construction field to be ranked; 148 responses were received. Employing the Relative Importance Index (RII) and traditional Analytic Hierarchy Process (AHP) method with Saaty random index that prioritizes these CSFs, the collected data were analyzed after receiving responses. Even though there were disagreements in stakeholders’ views and their goals, significant areas have been identified as project financial issues, managerial aspects, and authorities’ approval mechanism. The outcome of this paper would be used by construction industry professionals to support, evaluate, and measure the success of projects for better allocation of resources.

Construction sector spending makes a significant contribution to the global economy, with approximately $10 trillion being spent on building and construction activities annually. However, the construction industry has traditionally been perceived as slow to adapt to new technologies compared to other sectors. Recently, the construction industry has experienced a substantial shift towards Digital Transformation. As new technologies have emerged, the construction industry has begun to realize the importance of Digital Transformation in the pre-construction, construction, and facility management phases. A high degree of Digital Transformation has been seen regarding site monitoring, wearables, sensors, and identifying hazards. This paper intends to sketch a global picture of digital technologies implemented in the construction industry throughout the entire project lifecycle. By fully analyzing more than 200 papers, the paper finds that various aspects of the construction industry, including technologies, policies, regulations, and infrastructures, are still in the early stages of Digital Transformation. The findings from this review will help researchers and practitioners in the construction industry understand the global picture of digital technology implementation and where the construction industry stands in the Digital Transformation process. This paper also serves as a starting point for future work on Digital Transformation in the construction industry. The research paper is limited to vertical aspects in building projects and does not include horizontal integration. Finally, this study will give a guideline with successful examples of which technologies are being used in specific phases, so future researchers can get a holistic view of the use of digital technology in the entire building environment.

The aim of this paper is to propose a decision support tool for contractors before the bidding stage to quantify the probability of delay in construction projects in Turkey by using the relative importance index (RII) method incorporated into fuzzy logic. For this purpose, 83 delay factors were identified, categorized into 9 major groups through a detailed literature review process as well as interviews with experts from the construction industry. The relative importance of these delay factors and groups was quantified by using the relative importance index method. The ranking of the factors and groups was demonstrated according to their level of effect on delay. A delay assessment model was proposed using the fuzzy set theory by taking into account the delay factors characterized in construction projects. The assessment model was developed using a commercial software product. The proposed methodology was tested in a real case study; and the probability of the delay of the project was evaluated by...

A great emphasis has taken place to identify and analyse the factors that have been af­fecting the success and the failure of construction projects in recent decades. As a project-based industry, construction has heavily invested in such research. Moreover, the construction industry suffers the most to meet deadlines and budgets limits. The objective of this paper is to identify the critical success factors in construction industry. The study focused on Middle East region. In order to achieve this objective, 25 project success factors were identified by reviewing related literature. The factors were assessed for their impact and contribution to the actual performance of the project on three criteria: schedule, cost, and quality. Then a questionnaire was developed and sent to dif­ferent experts in the construction industry. The collected data of 111 responses was then analysed statistically by using different tools such as: importance index, Spearman’s rank correlation factor and T-test. As a result, company’s technical capacity and scope and work definition were ranked the most important factors. The results of this research may provide a great assistance to professionals and researchers in identifying the critical factors in the construction industry.