Critical success factors for implementing building information modeling and sustainability practices in construction projects: A Delphi survey

2019 ◽  
Vol 27 (4) ◽  
pp. 587-602 ◽  
Author(s):  
Timothy O. Olawumi ◽  
Daniel W.M. Chan
Keyword(s):  
Construction Projects ◽  
Critical Success Factors ◽  
Success Factors ◽  
Building Information Modeling ◽  
Delphi Survey ◽  
Information Modeling ◽  
Critical Success ◽  
Building Information ◽  
Sustainability Practices

Critical success factors for BIM adoption during construction phase: a Singapore case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziwen Liu ◽  
Yujie Lu ◽  
Tushar Nath ◽  
Qian Wang ◽  
Robert Lee Kong Tiong ◽  
...  
Keyword(s):  
Construction Projects ◽  
Critical Success Factors ◽  
Online Survey ◽  
Success Factors ◽  
Information Modeling ◽  
Content Type ◽  
Critical Success ◽  
Adoption And Implementation ◽  
Building Information ◽  
Aec Industry

PurposeAs a pillar of integrated digital delivery (IDD), building information modeling demonstrates the tremendous potential to enhance productivity for the architectural, engineering and construction (AEC) industry worldwide. However, the implementation of digital solutions presents numerous challenges related to its adoption and implementation. Distinguishing a comprehensive set of critical factors can facilitate the construction professionals to execute their strategies in a properly planned manner, thus augmenting the possibilities of successfully implementing BIM in their organization. This study aims to identify critical success factors (CSFs) for BIM adoption and implementation in Singapore.Design/methodology/approachThis study adopted structured empirical questionnaire survey. Relevant data were collected from the various stakeholders in Singapore AEC industry through an online survey questionnaire. Furthermore, data analysis was done using SPSS Statistics software in order to identify the key factors (KFs) based on which the CSFs were derived for BIM adoption and implementation during the construction phase.FindingsFrom a set of 45 influencing factors, 35 KFs were derived after performing ranking analysis, from which a set of 26 CSFs were finally obtained based on the factor analysis methodology.Originality/valueThis study has identified the CSFs of BIM adoption in Singapore, as well as in the builders' perspective on how to enhance the digitalization in construction projects.

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 The implementation of BIM in construction projects

2020 ◽  
Vol 164 ◽  
pp. 08002
Author(s):  
Sergey Sinenko ◽  
Pavel Hanitsch ◽  
Sheroz Aliev ◽  
Mikhail Volovik
Keyword(s):  
Organizational Performance ◽  
Construction Industry ◽  
Critical Success Factors ◽  
Success Factors ◽  
The Body ◽  
Information Modeling ◽  
Clear Understanding ◽  
Critical Success ◽  
Building Information ◽  
The Impact

Building Information Modeling Implementation (BIM) is a management task that has undergone major changes. Therefore, identifying the critical success factors in BIM implementation and identifying its implementation challenges in the construction industry is a prerequisite for this change process. The purpose of this research is to understand the construction industry in order to provide a clear understanding of the application of BIM and to provide a suitable way of the mobility of people to implement more comprehensive BIM, which in turn, implements modeling. Building information provides strategies and recommendations for the construction industry. This research, based on a review of previous study, BIM implementation methods and critical success factors in the field of implementation have been discussed, which opens the way for quantitative and qualitative method analysis. Also provides a solid foundation for organizations to make informed decisions in implementing BIM in the body of the organization structure. The main purpose of this research is to identify the factors that are important for the success of BIM implementation. Such factors include BIM potentials and the impact of these potentials on improving the performance of the companies that implement BIM. The research based on a literature review, and presents survey results and significant factors identified on the impacts of BIM implementation and organizational performance improvement.

Sign in / Sign up

Export Citation Format

Share Document