INVESTIGATING BARRIERS TO BIM IMPLEMENTATION IN DEVELOPING COUNTRIES WITH AN APPROACH TO ALBERT BANDURA THEORY OF SELF-EFFICACY

The process of building information modeling is one of the most effective advances in the construction industry in the last decade, which is developing rapidly around the world. On the other hand, the construction industry of many developing countries is a vital industry and a driver of development, but it is inefficient and underdeveloped. Although building information modeling can have a great impact on the efficiency of this industry, but there are many obstacles in its way and the flow of its application in the construction industry of these countries has slowed down. Identifying these barriers in different fields and considering the local conditions of the construction industry in developing countries has been one of the main objectives of this research. Some of these barriers are rooted in the technical shortcomings of the Beam system, but many also stem from the nature and characteristics of the construction industry and its relationships and functions. In order to successfully implement this advanced and efficient system and enjoy its advantages, these obstacles must be identified and examined according to their origin, and appropriate solutions must be designed to make this process run more quickly. In this research, first BIM technology and the benefits of its implementation are introduced and then the obstacles and problems during the implementation of BIM in some developing countries in this field are investigated and finally, according to the theory of self-efficacy, solutions to eliminate these barriers are presented

IMPACT OF CULTURAL, ECONOMIC AND TECHNOLOGY ON RISK MANAGEMENT OF CONSTRUCTION COMPANIES IN IRAN

The current research was conducted with the topic of investigating the effect of cultural, economic and technological factors on the risk management of construction companies in Iran. This research was applied in terms of purpose and descriptive-survey in terms of method. The statistical population of this research is: senior managers and engineers of grade 1 construction companies in Iran, of which 120 people were selected as a sample through sampling in available was selected and a researcher-made questionnaire was distributed among them and they were asked to rate each item according to its importance from one (lowest) to five (highest). To analyze the data, partial least squares technique was used with the help of SmartPLS software, and the results showed that cultural and economic factors do not affect the risk management of Iran construction companies, but technological factors have an effect on the risk management of Iran construction companies