Developing a Comprehensive Measurement Tool for Assessing the Rate of BIM Adoption in the Construction Industry

TL;DR

This paper develops a reliable, empirically-backed measurement tool based on Attributes of Innovation theory to assess BIM adoption rates in the construction industry, aiding decision-makers and policymakers.

Contribution

It introduces a systematic, quantitative instrument for measuring BIM adoption, integrating theoretical insights with empirical data to identify barriers and guide implementation strategies.

Findings

Created a reliable BIM adoption measurement tool

Validated the tool through pilot testing and statistical analysis

Provides actionable insights for policy and industry improvement

Abstract

Building Information Modeling (BIM) is a crucial technology in the construction industry, offering benefits such as enhanced collaboration, real-time decision-making, and significant cost and time savings. Despite its advantages, BIM adoption faces numerous barriers. This study aims to create a reliable tool to assess the Rate of BIM Adoption (RBA), drawing on Attributes of Innovation theory and empirical data from the literature. This research integrates theoretical insights with empirical data, providing quantitative items to measure BAR in the construction industry. The quantitative approach helps decision-makers and policymakers to mandate BIM and establish appropriate implementation standards. Its implications are significant for the construction industry, policymakers, and the academic community, offering a systematic approach to assess BIM adoption, identify barriers, and implement targeted strategies. The reliability of this approach is ensured through a solid theoretical foundation, item development, pilot testing, and statistical analysis, making it a valuable resource for improving BIM implementation and fostering innovation in the construction industry.