This paper examines the effects of delays in the Algerian construction industry in order to identify the various critical aspects of the causes for improving the economy in the construction sector. A questionnaire survey was conducted to assess the perceptions of all players in the construction industry, which led to the identification of the most significant impacts of delays. The results show that ten main effects of delays in the construction sector are at the origin of many constraints that have a negative impact on the economy of the country. Further, the factor analysis technique was performed to categorize the identified effects into main groups, and it yielded 5 groups (factors). As an important contribution, the relationship between these groups was tested using the SMART-PLS, and a structural model has been developed. Also, a comparative study with other previous works on the most critical effect of delays in construction projects has been conducted and the results show that the main effects of delays in the construction industry are at the root of many constraints in reaching and achieving the objectives.

Project success is the ultimate goal of the various project stackeholders (Salhi.R 2018). Asuccessful project means that the project is completed on time, within the agreed budget and according to the contract specifications. Delay is one of the most reccuring problems in construction project in Algeria, and it is considered as the main cause of cost overrun, time overrun, disput and claims.The objective of this paper is to mesure the impact of schedule delay on cost overrun, using the simple linear regression method and the coefficient of correlation. The proposed model can be used by practitioners as predictive mesure to address possible cost overrun.

Project success is the ultimate goal of the various project stackeholders (Salhi.R 2018). Asuccessful project means that the project is completed on time, within the agreed budget and according to the contract specifications. Delay is one of the most reccuring problems in construction project in Algeria, and it is considered as the main cause of cost overrun, time overrun, disput and claims.The objective of this paper is to mesure the impact of schedule delay on cost overrun, using the simple linear regression method and the coefficient of correlation. The proposed model can be used by practitioners as predictive mesure to address possible cost overrun.

Time is an indicator of project performance, and along with cost and quality factors, it is the project roadmap, as it determines its success. In Algeria, among the problems often encountered in the construction of projects are timeouts. A questionnaire survey was conducted with experts in the field of construction, in order to know the factors causing delays in projects. The results show that the managerial factors (relating to planning, organization and management) are the most important in Algeria. Therefore, the use of Project Management is essential, given the need to promote this area in terms of processes and tools used, to allow the various project stakeholders to optimize the planning of activities and resources, to complete the project. project in a timely manner and reach the stage of project success. Recommendations were proposed and managerial solutions were suggested using the guide of PMBOK version 5.

Project construction has never been a simple act, because it is conditioned by specific constraints of cost, time, quality, and it includes a degree of uncertainty. So, time is a vital aspect by which project success is judged; for this purpose, deadline compliance is a paramount question in project construction. In Algeria, delay has invaded the majority of projects. Therefore, it is necessary to give more importance to time management to reach the stage of projects success. As saying goes, "you can’t manage what you do not measure"; the quantification or the prediction of delays appears necessary to arrive at a good mastery and a better management of time. The objective of this paper is to quantify the probability of delays in construction projects. For this reason, data from 30 public projects has been collected, and then categorized into 4 groups according to their types: school groups, college, high school, administrative buildings and economic infrastructures. Subsequently, the simple linear regression method is used to develop prediction model for the public projects in Algeria; to enable managers and practitioners to predict possible delays. This prediction is intrinsic to minimize the risks, to widen the field of reflection and especially to increase the chances of project success.