Identifying and prioritizing governance factors which affect on the successful implementation of Building Information Modeling technology in construction companies

Document Type : Research Paper

Authors

1 Project management and construction Department,, Faculty of Architecture and Urbanism, University of Art, Tehran, Iran.

2 Project management and construction Departmrnt, Faculty of Architecture and Urbanism, University of Art Tehran, Iran.

Abstract

The revelation of the benefits of building information modeling has led many construction companies to implement this technology, but due to the new nature of this technology, its institutionalization in Iran's construction industry companies requires adaptation of processes and organizational structures .Since institutional factors, various internal stimuli and various external pressures have a significant effect on increasing the convergence between organization managers to make decisions and support the effective implementation of BIM in companies, strengthening the positive factors and weakening the negative factors can facilitate the process of acceptance and successful implementation of BIM.
This research was conducted with the aim of identifying and prioritizing effective factors in the successful implementation of BIM technology in construction companies. In this study, first through a thorough review of the research background, the governance factors affecting the successful implementation of BIM were identified, and then these factors were classified with a simultaneous hybrid approach and through the simultaneous use of semi-structured interviews and a closed questionnaire. Based on the results of the collected data analysis and Friedman's test, the governing factors affecting the successful implementation of BIM in construction companies were classified in order of importance in eight categories and three general areas.

Keywords

Main Subjects

References

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Journal of Technology Development Management
Volume 11, Issue 2
September 2023
Pages 93-132

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  • Receive Date: 08 April 2023
  • Revise Date: 22 February 2024
  • Accept Date: 24 February 2024

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