scholarly journals A Review of Employer-Caused Delay Factors in Traditional and Building Information Modeling (BIM)-Enabled Projects: Research Framework

2021 ◽  
Vol 2021 ◽  
pp. 1-24
Author(s):  
Mohammad Barqawi ◽  
Heap-Yih Chong ◽  
Emil Jonescu
Keyword(s):  
Construction Projects ◽  
Success Factors ◽  
Building Information Modeling ◽  
Implementation Strategies ◽  
Information Modeling ◽  
Cross Sectional ◽  
Research Framework ◽  
Potential Employer ◽  
Building Information ◽  
Construction Delay

Construction delays are considered a common worldwide problem. Previous studies have investigated construction delay factors from the perspectives of different project stakeholders. However, a thorough analysis of such delays on different types of construction projects in different geographies is still lacking, precisely the effect of employers’ delays in traditional and building information modeling (BIM)-enabled projects. This research proposes a research framework to address potential employer-caused delay factors in traditional and BIM-enabled projects. A cross-sectional literature search was carried out to review construction delay factors and employer-caused delay factors in traditional and BIM-enabled projects. The study found that: (a) a research gap exists in traditional construction delay studies in specific continents and project types as well as in BIM-enabled project studies, (b) delay aspects have not been addressed or have been partially addressed in previous studies, and (c) a relationship model between employer-caused delay factors and success factors can be developed by studying the effects of BIM barriers and implementation strategies. This paper is the first to present a comprehensive review on delay factors and tender a novel framework to address employer-caused delay factors in both traditional and BIM-enabled projects.

scholarly journals Challenges of the expansive use of Building Information Modeling (BIM) in construction projects

Production ◽  
2015 ◽  
Vol 25 (2) ◽  
pp. 289-297 ◽  
Author(s):  
Hannele Kerosuo ◽  
Reijo Miettinen ◽  
Sami Paavola ◽  
Tarja Mäki ◽  
Jenni Korpela
Keyword(s):  
Construction Projects ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Building Information

scholarly journals Expanding uses of building information modeling in life-cycle construction projects

Work ◽  
2012 ◽  
Vol 41 ◽  
pp. 114-119 ◽  
Author(s):  
Kerosuo Hannele ◽  
Miettinen Reijo ◽  
Mäki Tarja ◽  
Paavola Sami ◽  
Korpela Jenni ◽  
...  
Keyword(s):  
Life Cycle ◽  
Construction Projects ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Building Information

scholarly journals Lean Applications in Construction

2019 ◽  
Vol 5 (2) ◽  
pp. 29-37
Author(s):  
Mohammad Darabseh
Keyword(s):  
Case Studies ◽  
Construction Industry ◽  
Lean Manufacturing ◽  
Construction Projects ◽  
Lower Cost ◽  
Building Information Modeling ◽  
Lean Construction ◽  
Information Modeling ◽  
Building Information

Lean Construction is one of the methods used to improve control over construction projects by eliminating waste in time and materials. Lean Construction is an adaptation from the Lean Manufacturing principles to the construction industry. The purpose of this article was to review the case studies published in 2018 in the Inspec database to find out where Lean is being implemented and how. The article approach by setting the search criteria first and then inspect the result to find the non-related results and eliminate it. After that, the article was reviewed and summarized. The article verifies each article finding; however Lean Construction and Building Information Modeling (BIM) are relatively new for the construction industry and they still need more time to be adopted widely and to be applied on a lower-cost budget. However, the discussed cases show a promising future for these technologies.

scholarly journals TINGKAT IMPLEMENTASI DAN HAMBATAN ADOPSI BUILDING INFORMATION MODELING PADA PELAKU PROYEK KONSTRUKSI DI BALI

2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
I Made Agoes Megapathi ◽  
I Gusti Agung Adnyana Putera ◽  
Nyoman Martha Jaya
Keyword(s):  
Construction Projects ◽  
Service Providers ◽  
Construction Project ◽  
Implementation Strategies ◽  
Information Modeling ◽  
Survey Method ◽  
Work Processes ◽  
Measurement Variability ◽  
Importance Index ◽  
Building Information

Many countries have established implementation strategies for the use of BIM in construction projects which have resulted in the widespread adoption of BIM. To catch up, the Ministry of PUPR has launched the Indonesia Digital Construction Roadmap 2017-2024 through 4 stages, namely the Adoption, Digitalization, Collaboration, and Integration stages. However, currently at the Adoption stage of the Roadmap, it is still focused on only a few PUPR infrastructure projects. This is due to problems such as the unavailability of policies and regulations for implementing BIM for the entire PUPR infrastructure sector, the lack of mastery of BIM from both Users and Service Providers, the project scale is not yet massive so that the price of BIM software is felt to be still burdening the Provider. This study aims to investigate the mastery of BIM through a study of the level of use, implementation, and identification of the dominant barriers to BIM adoption, especially for construction project actors in Bali. This research is expected to help construction industry practitioners to understand the challenges of BIM adoption in Bali. Data collection was carried out by survey method using a questionnaire. Respondents were selected using the purposive sampling method, namely experts in construction projects in Bali. The method of analysis is descriptive statistics which includes central tendency measurement, variability measurement, and the Relative Importance Index (RII). The survey results from all respondents showed that the adoption rate of BIM for construction project actors in Bali was 19%. Level of BIM implementation of construction project actors in Bali were 89% at BIM level 1 and 11% were at BIM level 2. The dominant obstacles in BIM adoption are the high cost of adoption, lack of experts, lack of government role in encouraging BIM adoption, difficulty changing work processes and there is no standard and protocol in applying BIM in the project.

scholarly journals Challenges and Barriers of Building Information Modeling Adoption in the Saudi Arabian Construction Industry

2020 ◽  
Vol 14 (1) ◽  
pp. 98-110
Author(s):  
Mohammed A. Al-Hammadi ◽  
Wei Tian
Keyword(s):  
Saudi Arabia ◽  
Construction Industry ◽  
Construction Projects ◽  
Building Information Modeling ◽  
Saudi Arabian ◽  
Information Modeling ◽  
Relative Importance ◽  
Kingdom Of Saudi Arabia ◽  
Current State ◽  
Building Information

Background: The Building Information Modeling (BIM) revolution can provide a solution for problems in the Saudi Arabian construction industry and improve its outcomes. Though this technology is increasingly and rapidly adopted in advanced countries, developing countries such as Saudi Arabia and the Gulf Cooperation Council countries (GCC) are still in the early stages of BIM adoption. Objective: This study investigates the current state of BIM technology adoption by exploring and analyzing the critical challenges and barriers to BIM technology utilization in the construction sectors. Methods: The quantitative approach is adopted via a survey questionnaire distributed to participants in the field of construction projects in the Architecture, Engineering, and Construction (AEC) industry. A total of 228 questionnaires are collected and analyzed using the statistical packaging for social science software. Results: Findings show that several significant barriers negatively affect the utilization of BIM. The major barriers to BIM adoption are related to the lack of demand, lack of experts, and poor awareness of BIM benefits, which have relative importance indexes of (RII = 89.910), (RII = 88.475), and (RII = 87.130), respectively. Meanwhile, unspecified data responsibilities, difficulty of learning BIM, lack of data sharing, and sufficient current technology constitute the lowest-ranking barriers with their relative importance indexes of (RII = 71.704), (RII = 70.807), (RII = 66.413), and (RII = 65.874), respectively. Conclusion: The findings of this study are highly significant and can become more helpful and interesting if further research can measure the methodologies to implement BIM technology in the Kingdom of Saudi Arabia.

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