Antecedents of the adoption of building information modeling technology in Korea

Abstract

Purpose Although the notable and significant role of building information modeling (BIM) technologies in construction industries has gained user attention, only few studies have been examined on the user adoption of the technologies. The purpose of this paper is to introduce an acceptance model for BIM technologies and investigate how external factors which were extracted by in-depth interviews promote the adoption of such technologies. Design/methodology/approach An on-line survey was conducted by two South Korean survey agencies to test the acceptance model for BIM technologies. Then, the structural equation modeling (SEM) and confirmatory factor analysis (CFA) methods were used. Findings The results of the SEM and CFA methods from on-site construction employees (n=818) in Korea collected by the online survey indicate that compatibility and organizational support play a core role in positively and significantly affecting both perceived ease of use and usefulness, and that the connections introduced by the origin technology acceptance model are mainly confirmed. Originality/value Using the findings of the results, both implications and notable limitations are presented. Moreover, practical developers, as well as academic researchers can employ the results when they attempt to conduct future research.

Systemic BIM Adoption: A Multilevel Perspective

“…BIM-adoption models at the user level have become prominent since 2014. Studies have been conducted in China (Ding et al 2015), India (Ahuja et al 2016, South Korea (Kim et al 2016;Park et al 2019), United Kingdom (Howard et al 2017), Australia (Sargent et al 2012), Thailand (Ngowtanasawan 2017), Malaysia (Enegbuma et al 2016), and the United States (Lee and Yu 2016).…”

“…Research has mainly focused on BIM adoption by design and construction professionals. Moreover, the outcome variable of most studies is the 'Intention to Adopt BIM' (Ding et al 2015;Kim et al 2016;Park et al 2019;Sargent et al 2012;Son et al 2015). Nonetheless, other authors have examined actual BIM practice (Howard et al 2017;Ngowtanasawan 2017).…”

“…It is also noteworthy that some studies measure firm-level variables at the user level. For example , Park et al (2019) found that perceived cost is not a predictor of a user's intention to adopt BIM. However, users do not have decision-making influence regarding a firm's expenditures.…”

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

“…Considering only individual variables in technology acceptance could result in neglecting various elements (e.g., organizational factors), which could facilitate or hinder individual attitudes towards innovation. Indeed, the literature states that employee innovation adoption could also rely on organizational aspects [38,[64][65][66]. In particular, the idea that some organizational factors can foster technology acceptance was already considered in the TAM model's first formulations and finds support in other studies, also conducted through qualitative methodologies [32,[66][67][68].…”

An Institutional Approach to Digitalization in Sustainability-Oriented Infrastructure Projects: The Limits of the Building Information Model

“…Comparative case study with a longitudinal SNA [61] It aims to further understand the barriers to BIM implementation and how these barriers are related to BIM maturity In-depth multiple case studies [62] Investigates how external factors promote the adoption of BIM technology…”