Critical Success Factors for Building Information Modelling Implementation

Ganiyu Amuda-Yusuf

doi:10.5130/ajceb.v18i3.6000

Abstract

Adoption of Building Information Modelling (BIM) in the global construction industry is fast growing. This paper expounds the Critical Success Factors (CSFs) for BIM implementation and explore their ranking and underlying relationships. A total of 28 CSFs was identified from the review of previous studies on success factors. Survey questionnaire containing these 28 factors was used to collect data from industry practitioners in Nigeria. Benchmark metrics was developed to rank the success factors. The topmost five success factors for BIM implementation in order of importance are: standard platforms for integration and communication; cost of development; education and training; standardization (product and process); and clear definition and understanding of users’ requirement. Analysis of variance shows that significant differences exist in the pattern of rating for the topmost CSFs based on turnover. Factor analysis was further adopted to group the 28 CSFs into five components, using rotated component matrix method. The five components extracted are: (i) industry stakeholders’ commitment and knowledge of BIM, (ii) capacity building for technology adoption, (iii) organisational support, (iv) collaborative synergy among industry professional and (v) cultural orientation. The rankings of the CSFs provide basis for prioritising the most significant factors that industry stakeholders should focus attention for successful implementation of BIM. In addition, the underlying relationships among the success factors identified in this study, will assist industry stakeholders to determine best strategy to adopt in implementing BIM at industry level.

Highlights

Building Information Modeling (BIM) has been variously described as a methodology to integrate digital descriptions of all the building objects and their relationships to others in a precise manner, so that stakeholders can query, simulate and estimate activities and their effects on the building process as a lifecycle entity (Augenbroe, 2009; Baldwin, et al, 2009; Boon & Prigg, 2012; RICS, 2015)
The underlying relationships among the success factors identified in this study, will assist industry stakeholders to determine best strategy to adopt in implementing BIM at industry level
This paper aims to verify the identification of the 28 factors earlier identified by Ugwu and Kumaraswamy (2007) as Critical Success Factors (CSFs) to IT adoption in the construction industry of emerging economies

Summary

Introduction

Building Information Modeling (BIM) has been variously described as a methodology to integrate digital descriptions of all the building objects and their relationships to others in a precise manner, so that stakeholders can query, simulate and estimate activities and their effects on the building process as a lifecycle entity (Augenbroe, 2009; Baldwin, et al, 2009; Boon & Prigg, 2012; RICS, 2015). BIM provide a platform for integrated information exchange through a single model It reduces design errors and omissions with significant reduction in design time (Aibinu & Ventkatesh, 2014). The five – dimensional (5D) model integrates a 3D drawing with time and cost estimates and could help in accelerating design process and ensuring that client’s budget is not exceeded (Boon & Prigg, 2012; RICS, 2014). Et al, (2009) said that effective collaborative working in service-based operations needs to bring together the four key resources of people, process, technology and data

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