Modelling the impact of building information modelling (Bim) implementation drivers and awareness on project lifecycle

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

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)

Abstract

The Architecture, Engineering, Construction and Operations (AECO) industry is gener-ally 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.

Original languageEnglish
Article number8887
JournalSustainability
Volume13
Issue number16
DOIs
Publication statusPublished - 2 Aug 2021
Externally publishedYes

Keywords

  • Awareness
  • Building information modelling
  • Drivers
  • Nigeria
  • Project lifecycle
  • Structural equation modelling

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Building and Construction
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Hardware and Architecture
  • Computer Networks and Communications
  • Management, Monitoring, Policy and Law

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