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

Mohammed Abdulsalam Alsofiani

TL;DR

The paper addresses the lack of a reliable measure for the Rate of BIM Adoption (RBA) in the construction industry. It fuses Rogers' Attributes of Innovation with a PRISMA-based systematic review of BIM adoption barriers to develop a quantitative item set. The resulting instrument covers six constructs—relative advantage, compatibility, complexity, trialability, observability, and additional barriers—and is supported by a theoretical and empirical basis plus plans for pilot testing. The work aims to aid decision-makers, policymakers, and researchers in diagnosing barriers, guiding BIM implementation, and advancing construction innovation.

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.

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

TL;DR

The paper addresses the lack of a reliable measure for the Rate of BIM Adoption (RBA) in the construction industry. It fuses Rogers' Attributes of Innovation with a PRISMA-based systematic review of BIM adoption barriers to develop a quantitative item set. The resulting instrument covers six constructs—relative advantage, compatibility, complexity, trialability, observability, and additional barriers—and is supported by a theoretical and empirical basis plus plans for pilot testing. The work aims to aid decision-makers, policymakers, and researchers in diagnosing barriers, guiding BIM implementation, and advancing construction innovation.

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.
Paper Structure (25 sections, 2 figures, 1 table)

This paper contains 25 sections, 2 figures, 1 table.

Figures (2)

  • Figure 1: Variables Determining the Rate of Adoption of Innovation Adapted from Attributes of Innovation Theory
  • Figure 2: Strategies for Change Agent to Impact the Adoption Decision