The Adoption of Building Information Modeling in the Design Organization: An Empirical Study of Architects inKorean Design Firms

Abstract

Recently, Building Information Modeling (BIM) technology has attracted much attention in the Architecture, Engineering, and Construction (AEC) industry. Despite the growing interest in BIM technology, the benefits of BIM have not yet been fully realized during the course of implementation of BIM because of its low adoption rate among architects. Therefore, it is significant important in successful adoption of BIM in design organizations, understanding of the factors influencing the adoption of BIM. The aim of this study is to empirically examine the individual, organizational, social, and technical factors affecting architects' adoption of BIM. The 162 architects with experience using BIM tools at three major design firms in South Korea were selected to participate in the face-to-face survey. This study extends the Technology Acceptance Model (TAM) by incorporating constructs such as computer self-efficacy from the individual domain, top management support and technical support from the organizational domain, subjective norm from the social domain and compatibility from the technical domain. The results strongly support the extended TAM in predicting the intention of users to adopt BIM. It also demonstrates the significant effect of computer self-efficacy, top management support, subjective norm, and compatibility on behavioral intention through perceived ease of use and perceived usefulness. This study provides academics and practitioners with the understanding of factors leading to the successful implementation of BIM in design organizations. It also provides insight into the role management plays in the adoption of BIM among architects in the AEC industry.

Malaysian Construction Industry

“…In BIM model formulation, previous research of [48] infused the constructs of unified technology acceptance and use theory (UTAUT) into technology acceptance models (TAM) with two insignificant scales. [57] extend TAM to include computer self-efficacy, top management support, technical support, training and compatibility with two out of nine hypotheses significant. [49] combined TAM and innovation diffusion theory (IDT) with all 13 hypotheses significant.…”

Confirmatory Strategic Information Technology Implementation for Building Information Modelling Adoption Model

“…A random sampling frame to collect data from a subset forming a representative data for the group was used (De-Vaus, 2002). Sample frames from previous research in IT and BIM were studied, and a frame was developed covering medium to large construction organisations in addition to CIDB Class-A contractors (Son et al, 2012;Lowry, 2002;Peansupap and Walker, 2005;Davis and Songer, 2008;Jacobsson and Linderoth, 2012;Peansupap and Walker, 2006;Miller, Radcliffe and Isokangas, 2009;Brewer and Gajendram, 2011;Samuelson, 2011;Davies and Harty, 2013;Son et al, 2014;Xu, Feng and Li, 2014). The previously mentioned studies possessed an average sample size of 255 respondents and Hair et al (2010) specified a minimum sample size of 200 for structural equation modelling (SEM).…”

Technology acceptance model for Augmented Reality and Building Information Modeling integration in the construction industry

“…The outcomes of the study showed that users in the US had higher adoption level for BIM than Korea and the two countries have different mechanisms for BIM acceptance. In another study, Son et al (2014) found that there is a lack of realization of the expected benefits of BIM and examined the factors that can ease BIM adoption for architects. The outcomes of this technology acceptance study showed factors such as subjective norm, compatibility, and computer self-efficacy could influence the behavioral intentions for architects to BIM adoption.…”

“…Moreover, there has been no study that investigated how the construction industry is accepting and adopting BIM-AR integration within their processes. There have been various studies that investigated BIM solely Son et al,2014) or AR (tom Dieck et al, 2018 andLeue et al, 2014) acceptance and adoption individually but not their integrated BIM-AR acceptance in the construction industry. Hence, this study aims to fill this knowledge gap by developing a Technology Acceptance Model (TAM) based on the integration of BIM-AR.…”