The Impact of Individual Beliefs and Expectations on BIM Adoption in the AEC Industry

Sun

et al. 2022

ECAM

PurposeConscious of the benefits building information modeling (BIM) has brought about to the architecture, engineering, construction and operations (AECO) industry, the Chinese government has been driving BIM adoption. Nonetheless, its acceptance and proliferation in China remain stagnant. Most relevant literature focuses on BIM diffusion at the industry and organizational levels, but the impact of non-managerial practitioners executing BIM or the traditional drafting approach in day-to-day work tends to be disregarded. This study aims to extend theoretical models pertaining to technology acceptance to understand non-managerial practitioners’ perceptions toward working with BIM in China.Design/methodology/approachA new BIM acceptance model was proposed based on previous technology acceptance theories. After a pilot study, a survey was conducted with 153 non-managerial practitioners in the Chinese AECO industry.FindingsAmong factors impacting non-managerial practitioners’ BIM acceptance in China, performance expectancy and task-technology fit significantly and positively influence behavioral intention to accept BIM, while the impacts from effort expectancy, social influence and facilitating conditions are not essential.Research limitations/implicationsManagement strategies, such as improving non-managerial staff’s benefits and sense of BIM usefulness, selecting suitable tools to match with the staff’s tasks and promoting a middle-out approach in parallel with top-down interventions, are proposed for Chinese AECO organizations to enhance BIM acceptance.Originality/valueFew studies have explored BIM acceptance from the perspective of non-managerial users in the Chinese AECO industry, especially using the theories related to technology acceptance. The BIM acceptance model developed in this study is different from those used in previous global studies in terms of influencing factors.

Section: Measurement Developmentmentioning

confidence: 99%

“…, 2016), with four items measuring the driving forces from superiors, colleagues and collaborating parities. The seven measurement items of FC were originated from previous studies (Davies and Harty, 2013; Batarseh and Kamardeen, 2017; Ahmed, 2018; Liao et al. , 2019) and reworded to suit the context in this study.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating building information modeling acceptance in the Chinese AECO industry

Sun

et al. 2022

ECAM

“…Resistance to change traditional methods and adopt BIM can be caused by users’ unawareness or dissatisfaction with BIM benefits and advantages (Batarseh and Kamardeen, 2017). This attitude towards BIM was reported by interviewees from four organisations.…”

Section: Resultsmentioning

confidence: 99%

Status of BIM implementation in the Dominican Republic construction industry – an empirical study

Silverio

Suresh

Renukappa

et al. 2021

JEDT

Purpose The increased use and proven benefits of building information modelling (BIM) worldwide suggest that its implementation could be of great help in diminishing inefficient traditional practices in the Dominican Republic (DR) construction industry. However, there is no empirical work about the implementation of BIM in the country. This study aims to critically appraise and document the status of the implementation of BIM in the DR to raise awareness and understand how BIM can be successfully implemented in the country. Design/methodology/approach A qualitative approach was adopted in which data was collected through semi-structured interviews, with the participation of 53 professionals from 36 construction organisations. The data collected was analysed with the method of content analysis. Findings The results confirmed that the DR is a BIM infant country. There are low levels of BIM implementation. The reasons why BIM is not implemented are explored, and a significant interest in implementing BIM in the future was also reported. Drivers to implement BIM include BIM benefits, competitive advantage and pressure from external partners. Current BIM approaches are mainly single-disciplinary, principally in architecture, and the effectiveness and scope of implementation are highly affected by intra-organisational and inter-organisational barriers. Originality/value There is a lack of research about the implementation of BIM in the DR. This study bridges this research gap by collecting primary data from Dominican construction organisations and construction professionals to report findings related to BIM implementation.

“…In the context of BIM adoption, construction practitioners usually weigh the cognitive exchange between the advantages provided by BIM and the exertion required to use it. Previous empirical investigations provide evidence for the substantial influence of effort expectancy on the disposition to utilize BIM, as exemplified in studies executed by Bataresh et al [52] and Wang et al [53]. Practitioners' intention to utilize BIM is more likely to increase when they believe it requires less effort to use BIM.…”

Section: Hypothesis 1 (H1) Performance Expectancy Has a Positive Impa...mentioning

confidence: 99%

Decoding BIM Adoption: A Meta-Analysis of 10 Years of Research—Exploring the Influence of Sample Size, Economic Level, and National Culture

Wang,

Guo,

Di Sarno

et al. 2024

Buildings

In recent years, some studies have explored the determinants of Building Information Modeling (BIM) adoption. However, the findings of these studies are varied and sometimes contradicting. Consequently, this study undertakes an in-depth exploration of the relationship between influencing factors and behavioral intention. This analysis is achieved through a synthesis of findings from prior empirical studies, considering the nuanced impacts of specific contextual factors, including sample size, national culture, and economic level, on these relationships. In total, this meta-analysis encompasses 57 articles, and as of 31 December 2023, incorporates 63 datasets comprising a collective sample size of 13,301. An extended Unified Theory of Acceptance and Use of Technology (UTAUT) model was developed based on the most frequently studied constructs relevant to BIM adoption. The analysis reveals that BIM adoption is primarily affected by performance expectancy, social influence, facilitating conditions, effort expectancy, and perceived value. The moderator analysis indicates that sample size statistically significantly moderates the relationships between facilitating conditions and use behavior. Moreover, the extent of individualism in each national culture significantly moderates the associations between facilitating conditions and user behavior. The research serves to enrich the existing body of literature on BIM acceptance by addressing contradictory and mixed results found in empirical studies. It represents one of the first attempts to explore the influence of sample size, economic level, and Hofstede’s six cultural dimensions as moderators in the field of BIM utilizing meta-analytic techniques.