Drivers of actual usage of building information modelling tools by civil engineering professionals in construction industry of Sri Lanka

Fazaal Fathima, Shan Jayasinghe, Jinendri Prasadika, Sujith Wijerathna

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review

1 Downloads (Pure)

Abstract

The construction industry in Sri Lanka is a key driver of the country’s economy, contributing significantly to GDP, employment, and infrastructure development. However, the industry faces challenges due to outdated design methods and antiquated technology, hindering efficient stakeholder communication and collaboration, particularly during crucial stages like design. Cloud-based Building Information Modeling (BIM) emerges as a solution, providing a centralized platform for real-time collaboration. BIM is widely recognized as an industry standard worldwide, but its implementation in Sri Lanka’s construction industry is still in its early stages. This research, guided by the Unified Theory of Acceptance Model and Use of Technology (UTAUT) and Technology Acceptance Model (TAM), explores BIM adoption factors. A systematic literature review was conducted to identify key drivers through a meticulous analysis of 50 studies: Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Social Influence (SI), Facilitating Conditions (FC), and Behavioral Intention (BI). The conceptual framework, based on TAM and UTAUT, was developed. Analyzing data from 131 respondents via PLS-SEM, the study found positive impacts of SI on BI, as well as impacts of BI and FC on Actual Usage (AU). Moreover, the impact of SI, PU, and PEOU on AU was fully mediated by BI. Results of this research underscore BIM’s significance, offering insights for effective adoption in Sri Lanka’s construction projects.
Original languageEnglish
Title of host publication2024 International Research Conference on Smart Computing and Systems Engineering (SCSE)
PublisherIEEE
Pages1-7
Number of pages7
ISBN (Electronic)979-8-3503-7568-8
DOIs
Publication statusPublished - 4 Apr 2024
EventInternational Research Conference on Smart Computing and Systems Engineering 2024
- University of Kelaniya, Sri Lanka
Duration: 4 Apr 20244 Apr 2024
https://conf.kln.ac.lk/scse/

Conference

ConferenceInternational Research Conference on Smart Computing and Systems Engineering 2024
Abbreviated titleSCSE
Country/TerritorySri Lanka
Period4/04/244/04/24
Internet address

Cite this