Abstract

Background:Building Information Modeling (BIM) has been recommended as the best tool to improve construction processes by many researchers. However, most construction companies do not adopt BIM because there are many limitations slowing BIM adoption.Objective:The aim of this paper is to investigate the factors that limit BIM implementation in the construction industry.Methods:To investigate the research objectives, a quantitative approach was adopted and a structured questionnaire was designed. A total of sixty-eight copies of the questionnaire were distributed and sixty-five of them were satisfactorily completed, making the total response rate = 95.58%. Snowball sampling method helped to obtain a high rate of response and thus increase accuracy.Results and Conclusion:BIM limitation factors were divided into five categories. The results illustrated that the personnel category was ranked as the most important, while the legal category was ranked as the least important. Findings showed that requirement of large culture change within the organization, lack of senior management support, lack of knowledge on how to implement BIM, lack of staff experience and skills, and need to change in workflows to comply with the new requirements were ranked as the most important factors that obstacle BIM implementation.

Highlights

  • The construction industry requires to investigate techniques to decrease project cost, reduce project duration, increase productivity, and improve quality [1]

  • This result illustrates the influence of lack of staff experience and skills on the implementation of building information modeling in the construction industry

  • This happens because Building Information Modeling (BIM) is a new technology and it has not known in the Gaza Strip yet

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Summary

Methods

To investigate the research objectives, a quantitative approach was adopted and a structured questionnaire was designed. A total of sixty-eight copies of the questionnaire were distributed and sixty-five of them were satisfactorily completed, making the total response rate = 95.58%. Snowball sampling method helped to obtain a high rate of response and increase accuracy

Results and Conclusion
INTRODUCTION
LITERATURE REVIEW
Technological Factors
Cost Factors
Management Factors
Limitation Factors of Building Information Modeling
Personnel Factors
Legal Factors
Legal Issues
RESEARCH METHODOLOGY
Questionnaire Design
Face Validity
Pilot Study
Population and Sample
RESULTS
Limitation Factors
Management Category
Technological Category
Cost Category
Legal Category
CONCLUSION
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