Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle

Oludolapo Ibrahim Olanrewaju,David John Edwards,Ahmed Farouk Kineber,Nicholas Chileshe

doi:10.3390/su13168887

Abstract

The Architecture, Engineering, Construction and Operations (AECO) industry is generally slow in adopting emerging technologies, and such hesitance invariably restricts performance improvements. A plethora of studies have focused on the barriers, Critical Success Factors (CSFs), lifecycle and drivers independently, but none have explored the impact of BIM drivers and awareness on the project lifecycle. This study empirically explored the impact of BIM drivers and awareness on the project lifecycle using Structural Equation Modelling (SEM). Initially, a conceptual model was developed from an extensive literature review. Thereafter, the model was tested using primary questionnaire data obtained from 90 construction professionals in Lagos, Nigeria. Emergent findings indicate that Building Information Modelling (BIM) drivers have a high impact on BIM awareness at the operation stage of the project lifecycle. The SEM model has an average R2 value of 23% which is moderate. Consequently, this research contributes to the existing body of knowledge by providing invaluable insight into the impact of BIM drivers on BIM awareness in the project lifecycle. Knowledge acquired will help industry stakeholders and government to develop appropriate policies to increase BIM uptake within contemporary practice.

Highlights

The Architecture, Engineering, Construction and Operations (AECO) industry constitutes a cornerstone of a country’s economy and is predicted to account for circa 15%of the World’s Gross Domestic Product (GDP) by 2030 [1,2]
Common-method bias represents a measurement of variance that influences the validity of a study [91,100]
This study used Structural Equation Modelling (SEM) to explore the impact of Building Information Modelling (BIM) drivers on usage and awareness in the project lifecycle which is an aspect that has been neglected by previous researchers

Summary

Introduction

The Architecture, Engineering, Construction and Operations (AECO) industry constitutes a cornerstone of a country’s economy and is predicted to account for circa 15%of the World’s Gross Domestic Product (GDP) by 2030 [1,2]. Construction outputs create critical infrastructure and buildings that cumulatively constitute the built environment which provides the basis for society and other industries to flourish [3,4]; the economic contribution is perhaps greater than the estimated “direction” contribution to the GDP. In many developing countries, the construction industry has undergone substantial fluctuations to accomplish its local economic objectives [7]. Many developing countries’ financial procedures are in the process of improvement [8]. In these countries, construction projects frequently face several time-schedule delays [9,10,11]. The industry is faced with numerous productivity issues stemming from the lack of adoption

Methods

Results

Discussion

Conclusion