construction projects

The purpose of this research is to investigate the significant impact of emotional intelligence on organizational commitment in construction projects. The current research is applied research in terms of purpose and survey type in terms of data collection. The statistical population of the current research is the employees in the projects of Tehran's first-ranked building and construction companies in the field of consulting and contracting. The sampling method was random sampling. The sample size was 383 people selected using Cochran's formula and 385 questionnaires were given to the employees, After removing incomplete questionnaires, 271 questionnaires were examined. standard questionnaires were used with changes appropriate to the environment of projects in Iran, were used to collect data. Also, in this research, Cronbach's alpha of the whole questionnaire was calculated above 0.7. In order to analyze the data, Smart PLS software including structural equation tests using path analysis method was used. The research results showed that: emotional intelligence has a significant effect on the organizational commitment of construction project employees. Also, the test results showed that all components of emotional intelligence including: self-awareness, self-management, social awareness and relationship management had a significant effect on organizational commitment and its components including: continuous commitment, emotional commitment and normative commitment. Emotional intelligence showed the greatest effect on continuous commitment.

Schedule pressure is caused by various factors in construction projects, and the role of human resources performance in improving or increasing this pressure is very important and decisive. In this article, the structural equation modeling method was used to investigate the effect of program pressure on the performance of human resources working at the site of construction projects. In order to achieve this main goal, the effective variables were first identified and referenced through the research background and experts' opinion in the initial questionnaire. Also, the reliability and validity of the questionnaire created by the researcher were checked and confirmed according to Cronbach's alpha coefficient and confirmatory factor analysis. In the next stage, the theoretical model of the research is drawn and after collecting information in the case study of the research (two Ofoq engineering companies in Tehran and the Energy Industry Design and Engineering Company (EIED), civil and architecture department), a structural model for the relationship between the latent variables with each other and also The relationship between obvious and latent variables was drawn and then validated. The findings of the research were drawn in the form of 6 latent variables, schedule pressure, human resources performance, safety atmosphere and culture, training and awareness of human resources, rework and managers' decisions.As a result, indirect and total relationships as well as correlation between research hypotheses were compared and analyzed. According to the findings, the total and indirect relationships of the structural equation model have many differences with the results of the research hypotheses that have been obtained through the bootstrap test.

The purpose of this research was to identify the effective indicators in conducting "value engineering" studies in the projects of the worn-out urban fabric of North East Investment Company. For this purpose, previous studies used to identify indicators. Feebly researchers introduced 36 indicators as the main effective factors in value engineering studies. The panel of experts of this research were 20 experts from people involved, active or related to the subject of value engineering studies of Northeast Investment Company. The present study identified and prioritized value-engineering indicators in urban dilapidated fabric projects using the fuzzy Delphi model. To carry out this research, a document study used to identify the value engineering indicators in the urban dilapidated fabric projects and the fuzzy Delphi technique used to prioritize the identified indicators. The survey conducted in three stages and the results of each stage were refined. The panel of research experts included the experts of North East Investment Company. Data collection was done using the fuzzy Delphi method and by sending questionnaires in three stages. To achieve the goals of the research; First, with library studies, value engineering indicators identified in dilapidated urban fabric projects, and then by using the fuzzy Delphi method in three stages and asking for opinions through a five-point Likert scale questionnaire from 20 experts of dilapidated urban fabric projects. 36 items that got a sufficient score in the experts' consensus were determined and then the identified value engineering indicators prioritized using the opinion of experts and based on the fuzzy Delphi method.

Identifying factors that affect delays in construction projects can significantly improve project outcomes and lead to increased cost efficiency, improved stakeholder satisfaction, and increased project completion success rates. Recognizing and addressing potential delays contributes to a more sustainable and predictable construction process and helps efficient management of construction projects, so this research was based on this goal. The research method is mixed(quantitative and qualitative), in the qualitative part of the factors from previous studies with a content analysis approach, 34 factors were extracted, and with the Delphi phase method and the opinion of experts in three stages were adjusted to 27 factors, and in the next step, according to the confirmed factors, the exploratory factor analysis questionnaire was developed, which was completed by 128 experts who were selected after sampling from 192 people in the statistical community who have the characteristics and characteristics of the study and from the Cochran sampling formula, it's been. In order to calculate the adequacy of the volume of the statistical community, the curitis-battlette test was used and the results obtained were approved by experts. The confirmation factor analysis process has then been validated, with the kronbach Alpha coefficient used in both stages to measure their reliability. The results of the study show that indicators based on standard coefficients in order of importance include the materials and equipment index(0.90), the project management index(0.84), the financial resources index(0.72), the contractual/regulatory index(0.71) and the Human Resources index(0.53).

Construction workshops are among high-risk centers in Iran in terms of occupational accidents. The first step to control occupational accidents in this field is to raise the level of safety culture among people working in these workshops .Determining the factors affecting the safety culture and finding its relationship with the safety performance of people working in construction projects can be helpful in achieving this goal. In this research, the Dimetal Fuzzy method has been used to investigate the relationship between the factors affecting safety culture and the safety performance of people working in construction projects. The upcoming research has been conducted in an expert-centered way. In this regard, 84 experts who had work experience related to safety and were familiar with safety culture were selected in a targeted way. In the next step, 8 criteria were extracted and approved by Selected experts in this industry through a questionnaire. Finally, the relationship between the criteria and the impact and effectiveness of each was investigated using the fuzzy Dimetal method. The results obtained from the research shows that among the examined criteria, the attitude towards safety has the most relationship with other factors.Also, attitude to safety, management policy, knowledge and skills and equipment, respectively, have the most influence and communication, Personality, safety training and continuous supervision have the most impressione.

Urban deep excavation projects to provide mass parking, facility space and other uses that have the ability to operate in the underground floors are facing a significant demand. Nevertheless, these projects face serious challenges in achieving the anticipated goals, including cost, time and quality, which are rooted in their many risks. Projects are generally unique and inherently face many uncertainties. On the other hand, the conditions and characteristics of the soil and the complications in it also faced with many uncertainties; therefore, projects related to work under the surface of the earth usually considered high risk. Of course, the mentioned risks are not exclusive to geotechnical and technical risks, and include various risks including legal, financial, contractual, safety and environmental risks. In this research, while defining the concept of risk and its management, the risk levels in Mashhad urban deep excavation projects identified and classified. After that, while explaining the interpretive structural modeling method, the main risks identified in these projects have classified. According to the analysis, "subsurface water flows and the existence of wells and waterways" have the highest level of importance among the risks of Mashhad urban deep excavation projects. This research has provided a new insight into the nature of risks of excavation projects in Mashhad. Urban excavation projects in Mashhad today, more than ever before, deal with all kinds of risks. At the end, while summarizing the discussed issues, the fields of future research in this direction are stated.

Today, forecasting the actual costs of a project over a period is one of the fundamental aspects of project management. This is especially critical for construction projects, which play a significant role during natural crises. Effective cost and time management are crucial factors in the optimal execution of these projects. This study aims to identify the key factors influencing the accurate estimation of time and cost for construction projects using factor analysis. The case study focuses on commercial and residential buildings in the city of Arak. The study is applied in nature and employs an exploratory research method. The statistical population includes all senior managers, supervisors, and engineers from the Arak Engineering System Organization, with 170 individuals selected through a convenience sampling method. A factor analysis model was used to examine the relationships between various components. The results indicate that the most significant factors affecting accurate time and cost estimation include: failure to resolve objections promptly (factor load: 9.14), delays in preparing necessary maps during execution (factor load: 6.66), insufficient budget provision at the right time (factor load: 5.94), lack of practical and executive vision among designers (factor load: 5.85), serious errors in project design and contract documents (factor load: 4.04), inadequate planning for changes (factor load: 3.88), absence of a basic unit price list for inner-city works (factor load: 3.83), and project suspension by other institutions and organizations (factor load: 3.78). These factors were identified as the most critical for accurate time and cost estimation in the construction of commercial and residential buildings in Arak.

The purpose of this research is to evaluate the challenges of establishing a project management office (PMO) in construction projects. Data analysis was done by using expert questionnaires and collecting them in SPSS software and using Kolmogorov Smirnov, t-test and Friedman test. The results showed that all 6 main challenges have an impact on the purpose of the research and solving them can help to improve the status of PMO establishment. The results of the analysis of sub-challenges with the Friedman test showed that among the management challenges, the highest number related to the challenge of "insufficient project management skills" with a Friedman average of 4.64 and among the technical and executive challenges, the highest number is related to the challenge of "non-application of the hardware and software infrastructure required in the implementation of PMO" with Friedman's average of 8.09 and among the strategic sub-challenges, the most critical challenge is "inadequacy of business skills" with a Friedman average of 5.61, and among the support sub-challenges, the highest Friedman average is related to the challenge of "lack of support for project managers and PMO establishment" with an average of 8.76 and among the economic challenges, the highest Friedman average is related to "fear of rising overhead costs and being considered as an overhead cost" with a Friedman average of 3.79 and among the challenges of the stakeholders, it is related to the challenge of "not focusing on the benefits of the project" with Friedman's average of 6.44.

Risk management is a new branch of management science that, despite being new, has been rapidly expanding and growing and has been welcomed by experts and managers in a variety of trends. Today, risk and related tendencies have found their place in a wide range of matters such as investment, trade, insurance, safety, health, industrial and development projects, and even political, social and military issues. In this regard, risk management has a special place in project management issues, features such as project uniqueness and uncertainty in hypotheses, project objectives and requirements and as a result of environmental factors governing the project, the roots of uncertainty and the source of risk in the project host. According to the standard of knowledge of project management, risk management is one of the principles that is used in project management and to identify uncertainties in achieving project goals. In this study, using fuzzy Delphi method, risk was identified in Mashhad construction projects and then, using the opinion of the panel of experts, 32 risks were identified and prioritized. In supply and goods and equipment, lack of necessary infrastructure for projects, lack of foreign investment in project implementation, constant change of managers, lack of skilled labor, lack of qualified engineer, lack of understanding of projects and related activities, Goods and equipment insurance have the highest risks.

The purpose of this research is to identify and rank the causes of delays in construction projects in Iran and on a case-by-case basis in the city of Shiraz. The financial problems of the employer have the greatest impact on the occurrence of delays and financial problems of the contractor, problems in obtaining permits, order of changes by the employer, changes and errors in the design, weak management of the contractor and insufficient experience of the contractor are in the next categories. In order to collect data, two library and field methods were used in this research. Collecting primary information through the study of relevant articles and oral surveys of activists and expert experts active in construction projects in the city of Shiraz, a list of the most important factors affecting the occurrence of delays in these projects, including the five main factors, rules and regulations, the employer , consultant, contractor and miscellaneous and uncontrollable cases identified and 85 factors and causes caused by these factors in delaying construction projects were determined and then using a questionnaire and analyzing the resulting data with SPSS software, the factors and factors identified in terms of The impact on the occurrence of delays is rated. The results showed that, respectively, the factors of employer, contractor, consultant, uncontrollable cases and rules and regulations have the most influence on the delay of construction projects in Shiraz city. The sudden increase in prices and the lack of stability in the currency market, materials and wages are the most effective components, and forced accidents and unforeseen conditions such as: floods, earthquakes, and corona are known as the least effective components in causing delays.

The purpose of this research is to analyze the role of integrated components of sustainability in the construction industry in the construction projects of Imam Khomeini Port. For this purpose, a main hypothesis and three sub-hypotheses were developed. From the point of view of the purpose of this research, it is a development-oriented applied research, and from the point of view of methodology, it is descriptive-analytical (quantitative). The statistical population of this research includes specialists and construction experts of the Imam Khomeini Port Engineering System Organization, and the sample size was selected according to Kersey and Morgan's table by simple random sampling method of 120 people. The method of collecting information is library and field methods. Data analysis was done in two parts, descriptive statistics and inferential statistics using Pearson correlation coefficient, regression analysis and Friedman test by spss software. The findings indicate the confirmation of research hypotheses at a significance level of less than 0.05. Based on this, indicators of economic sustainability, social sustainability and environmental sustainability affect the success of construction projects.

Today, despite the progress that has been made in the field of construction in the country, attention to the post-construction phase and the period of operation or maintenance and the position of facilities management, especially from the safety point of view, has been relatively neglected. In fact, the application of facilities management knowledge, as a relatively new concept and an emerging profession, especially for effective safety management in buildings is necessary. Therefore, the main aim of this research is to explore the role of facilities management in enhancing safety management in construction projects in the post-construction phase and in the operation period in order to increase the efficiency and service life of buildings, so as to preserve resources and assets and in line with the realization of sustainable development goals. In the current qualitative and applied research, by using the strategy of case study, firstly, the systematic review of the theoretical foundations of the research has been done in the form of library studies. After that, data and information have been collected through in-depth interviews and with the help of observations, in the form of a field study. Then, the collected data have been analyzed, emphasizing the theoretical saturation, through the content qualitative method. Therefore, taking into account all the limitations, the findings of the research show that facilities management has a prominent role in improving safety management in construction projects in the post-construction phase and in the operation period. Finally, the provided conceptual framework of the current research is presented in the form of five main categories (principled construction, establishing rules and regulations, culturalization and education, maintenance engineering and safety engineering) and twenty-six subcategories.

Building information modeling is a digital representation of a building or infrastructure that helps architects, engineers, and construction professionals design, plan, and manage construction projects more efficiently. There is a need to integrate building information modeling techniques in construction projects to increase the efficiency of the project, in the meantime, different technologies can be used to improve the efficiency, therefore, in this research, the scanning technique for modeling is investigated. The building information is in the projects under construction. In the meantime, the qualitative part of the research, which includes studies and extraction of effective factors from previous related research, has been started, which has been completed by confirming and screening the factors using the fuzzy Delphi method and focusing on the opinion of experts in two phases. In order to calculate the adequacy of the size of the statistical population, the sphericity-Bartlett test was used and the results obtained were confirmed by experts. Based on the standard coefficients, the index of data processing collected with a coefficient of 0.94, the index of data collection with a coefficient of 0.86, the index of choosing the optimal laser scan with a coefficient of 0.79, the index of using data in modeling with a coefficient of 0.68, Results checking index with a coefficient of 0.64 and quality inspection index with a coefficient of 0.59 can be prioritized. By using factors such as preparation of a preliminary map in order to manage encounters in the process of data collection and display them in the form of geographic information system maps, and to monitor the dimensions and components of the project It is provided to design and implement the building with higher efficiency.

The information modeling model can be considered as a virtual process that includes all aspects, disciplines and systems of a facility in a single virtual model and allows all project stakeholders to use the processes traditionally cooperate more accurately and efficiently.This study investigated the factors related to building information modeling affecting the performance by reviewing the literature. The literature review showed that factors related to information modeling can affect the performance of construction projects by saving time and money, improving teamwork, better data management, and better understanding of the project. Improving the ability to build, visualize, productivity, quality, and accuracy. and ... to affect . Building Information Modeling (BIM) is a set of technologies, methods and policies that enable multiple stakeholders to collaboratively create a facility in the design space. It is an intelligent 3D model-based process, which usually requires a BIM implementation plan for owners, architects, engineers and contractors or construction professionals. Building Information Modeling or BIM can be used throughout the project life cycle to create clarity and efficiency in building construction .

Every year, a significant portion of the country's credits and financial resources are allocated to investment in civil and infrastructural projects. Risk management can prevent cost escalation and assist in completing projects within the designated time and budget. This study aims to identify factors contributing to the lack of implementation of risk management in small-scale civil projects in the city of Abadan. The research utilizes a descriptive method for data collection and employs exploratory factor analysis and TOPSIS analytical methods to identify and prioritize the factors. The results indicate that the influential factors in the lack of implementing risk management include four main elements (technical risk barriers, project management and leadership obstacles, construction risk barriers, financial risk barriers), among which the option of insufficient knowledge of the contractor has priority over other options.

The decision-making process is critical to the success of any construction project, construction personnel make decisions related to their duties every day and justify these decisions. Wrong decisions can disrupt the project in terms of time, quality, cost and relationships and can even impose exorbitant costs. On the other hand, design, engineering and construction include complex decisions with high uncertainty, so special attention should be paid to this part. The main goal of this research is to determine the dominant model of the decision-making process of experts in construction projects. In the first step, decision-making models will be identified through library studies, and then their decision-making processes will be determined by attending construction workshops and interviewing experts in the field of construction. In the next step, by communicating between the decision-making processes of experts and decision-making models, the most used model is determined through coding؛ In this research, based on the conducted research, the 3 dominant models used in the decision-making process of expert project managers are: the contingency model, the multi-criteria decision-making model, and the classic model.

The construction industry is known to be one of the most dangerous industries in terms of work-related fatalities, injury rates, and workers' compensation. Therefore, safety risk assessment is a key and fundamental step that must be done in the management of large construction projects. Small and medium-sized construction companies that usually do small projects do not have a great desire to manage risk in this kind of projects, and they also do not have the necessary knowledge and information in this regard. One of the reasons for this reluctance can be seen in the fact that companies are forced to provide lower amounts for the project due to the intense competitive environment; Therefore, they cannot spend more on risk management. This descriptive-analytical research has been written in order to identify the risk management process in the construction of small projects. In this research, using previous research studies and gathering and important activities to identify risks and assess safety risks in the construction of projects in this research were evaluated and analyzed.

Contractors play the main role in the success or failure of construction projects, therefore, it is very important to determine the qualifications and selection of contractors in order to succeed in projects and reduce costs. This article was done with the purpose of evaluating and selecting construction contractors. This research is a non-experimental (descriptive) based on the objective, practical and based on the method of data collection, which was conducted in a cross-sectional survey. The target community included experts, experts and decision makers in the field of contractor evaluation in organizations and companies in Semnan. Sampling was done by targeted method and finally 10 people participated in this study. To analyze the data, the combined method of DeMetal, the process of network analysis and the best-worst were used. The findings of the research showed that the criteria of quality, management ability, financial index, technical ability, reputation and health, safety and environment are in the first to sixth priority respectively. The findings of the best-worst method have shown that quality, management ability and financial index, technical ability, safety and environment and reputation are in the next ranks. Finally, suggestions were made based on the research findings.