Comparative Modeling Approach to Capture the Differences in BIM Adoption Decision-Making Process in Australia and China

Hong, Ying; Hammad, Ahmed W. A.; Zhong, Xiaoyang; Wang, Beibei; Akbarnezhad, Ali

doi:10.1061/(asce)co.1943-7862.0001746

Cited by 25 publications

(23 citation statements)

References 41 publications

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“…e popularity of SEM in BIM adoption studies is linked to the fact that SEM allows for the analysis of direct and indirect impacts of latent constructs between exogenous and endogenous variables [32]. In addition, SEM is an important statistical analysis tool which helps to examine the correlation (relationship) between observed and measured factors using a path diagram [1,33].…”

Section: Reasons For Using Structural Equation Modeling (Sem)mentioning

confidence: 99%

Comparison of BIM Adoption Models between Public and Private Sectors through Empirical Investigation

Belay

Goedert

Woldesenbet

et al. 2021

Advances in Civil Engineering

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In recent years, the integration of new technology-aided processes and methods, such as BIM in complex infrastructure projects, is becoming popular in the construction sector. Despite the growing popularity of BIM in the built environment, there is still a dearth of studies that focus on the intersectorial comparison of BIM adoption drivers in construction projects. Thus, the study aims to examine the project-specific BIM adoption drivers across the public and private construction sectors. Initially, a hypothetical BIM adoption model was developed based on a systematic literature review and desk study. Then, a structured questionnaire survey was employed to collect data from experts working across the Ethiopian construction industry. The empirical data were analyzed using a structural equation modeling and validated through confirmatory factor analysis. The result reveals that Relative Advantage, Financial Competency, Top Management Support, and Customer Pressure are common BIM adoption drivers amongst the public and private construction sectors. Similarly, a few distinct drivers were identified within both sectors. These include Government Pressure and Social/Cultural Factors in public, whereas Competitor Pressure and Communication Behavior in the private construction sector. The paper provides key intersectorial BIM adoption drivers within different adoption stages to reinforce the effort across the public and private construction projects. In addition, practical implications and key recommendations were forwarded to enhance the current BIM uptake in the Ethiopian construction sector.

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Section: Reasons For Using Structural Equation Modeling (Sem)mentioning

confidence: 99%

Comparison of BIM Adoption Models between Public and Private Sectors through Empirical Investigation

Belay

Goedert

Woldesenbet

et al. 2021

Advances in Civil Engineering

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“…The observed increase in BIM adoption is a global trend (Kim et al 2017;Ozorhon and Karahan 2017) and BIM adoption in Australia is no exception, accelerating exponentially in the last two decades (Atazadeh et al 2017;Hong et al 2020). This growth is attributed to a concerted government push towards wider Industry 4.0 adoption that seeks to engender smart and more sustainable cities and infrastructure (Newman et al 2020;Pärn and Edwards 2017).…”

Section: Contextual Backgroundmentioning

confidence: 99%

“…BIM adoption is increasing within the architecture, engineering, construction and operations (AECO) industry in Australia (Hong et al 2020); more businesses implement BIM and so demand for professionals with BIM competence is exponentially increasing (Hosseini et al 2018a). To accommodate short-term BIM-related skill demands, AECO businesses can engage internal staff or outsource expertise (Wu and Issa 2014).…”

Section: Introductionmentioning

confidence: 99%

Integrating BIM in Higher Education Programs: Barriers and Remedial Solutions in Australia

et al. 2021

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Despite the increasingly widespread adoption of Building Information Modelling (BIM) in Australia, a steady pipeline of BIM-ready graduates needed to meet industry demand remains elusive. Anecdotal evidence suggests that universities in Australia have not been successful in delivering BIM-enabled graduates of the right calibre due to a plethora of barriers. This paper aims to identify, define and delineate barriers to integrating BIM education into programs in Australian higher education institutions (HEIs), and unearth the antecedents of these barriers. A post-positivist philosophical design was implemented to undertake a cross sectional and mixed methods approach to collecting and analysing primary data. Data was collected through qualitative methods-18 structured and seven semi-structured interviewswith key BIM educators in Australia. Data were analysed using Nvivo. Findings reveal that four thematic groups of barriers hinder effective BIM education integration in Australian HEIs. These are: 1) change management challenges; 2) curriculum and content limitation; 3) educators' problems; and 4) disconnect with the industry. The research concludes that a major overhaul is needed to change the modus operandi via which the industry, accreditation bodies and government policy makers engage with HEIs to define BIM education programs. However, given a notable dearth of investment and collaboration from the industry and government, HEIs cannot manage the change needed for running effective BIM training programs. Therefore, cross government/industry collaboration and financial support is needed to stimulate a cultural shift in existing HEIs' provisions to generate future generations of highly skilled and competent BIM enabled graduates. This paper represents the first attempt to contextualise HEIs' capacity to deliver advanced BIM training given a wider and prevailing economic and political topology that currently fails to adequately support the supply of fully trained graduates.

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“…Although prior studies adopted different techniques to provide empirical findings regarding BIM adoption strategies in the construction industry [34][35][36], there is still a dearth of systematic research regarding the key BIM adoption drivers particularly designed for the execution of infrastructure construction projects within the context of emerging markets, such as Ethiopia.…”

Section: Literature Reviewmentioning

confidence: 99%

“…e popularity of SEM in BIM adoption studies is linked to the fact that SEM allows for the analysis of direct and indirect impacts of latent constructs between exogenous and endogenous variables [48]. In addition, SEM is an important statistical analysis tool which helps to examine the correlation (relationship) between observed and measured factors using a path diagram [2,36].…”

Section: Reasons For Using Structural Equationmentioning

confidence: 99%

Key BIM Adoption Drivers to Improve Performance of Infrastructure Projects in the Ethiopian Construction Sector: A Structural Equation Modeling Approach

Belay

Goedert

Woldesenbet

et al. 2021

Advances in Civil Engineering

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The aim of this paper is to explore the critical BIM adoption drivers across the Ethiopian public infrastructure construction sector. In this regard, a comprehensive systematic literature review was employed to identify potential BIM implementation attributes in developing countries and validated through a pilot test. Then, quantitative data was collected from experts working in various organizations using a structured questionnaire survey. A structural equation model was then developed based on five key BIM adoption constructs and 14 adoption drivers. Based on the path analysis, Application, Environment, and Project related factors positively affect BIM adoption in infrastructure projects, whereas Organization and Information Management are insignificant and negatively affect BIM adoption in the Ethiopian construction industry. The study highlighted key BIM adoption attributes that are helpful to enhance the overall project management performance in infrastructure projects. The proposed action plan is beneficial to various professionals, government, and stakeholders in an effort to improve the current level of BIM uptake in the horn of Africa. More so, the findings of this paper can be used to facilitate and promote BIM adoption in public infrastructure construction projects across the Ethiopian construction market.

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Comparative Modeling Approach to Capture the Differences in BIM Adoption Decision-Making Process in Australia and China

Cited by 25 publications

References 41 publications

Comparison of BIM Adoption Models between Public and Private Sectors through Empirical Investigation

Comparison of BIM Adoption Models between Public and Private Sectors through Empirical Investigation

Integrating BIM in Higher Education Programs: Barriers and Remedial Solutions in Australia

Key BIM Adoption Drivers to Improve Performance of Infrastructure Projects in the Ethiopian Construction Sector: A Structural Equation Modeling Approach

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