Critical Strategies for Enhancing BIM Implementation in AEC Projects: Perspectives from Chinese Practitioners

Ma, Xiaozhi; Chan, Albert P.C.; Li, Yongkui; Zhang, Boyu; Xiong, Feng

doi:10.1061/(asce)co.1943-7862.0001748

Cited by 55 publications

(56 citation statements)

References 72 publications

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“…This component is composed of the following four attributes: "software availability issues", "inadequate contractual coordination", "data and intellectual property issues", and "technological availability issues" with factor loadings of 0.741, 0.735, 0.690 and 0.507 respectively. The high cost (hence availability) associated with the variable of technological availability issues has been attributed to as one of the major challenges or barriers to BIM implementation not in in Nigeria (Saka and Chan, 2019a), but other developing countries such as China (Ma et al, 2020); and Malaysia (Enegbuma et al, 2014). For instance, the study by (Saka and Chan, 2019a) described BIM as technologically oriented process, thus bringing to the fore the importance around the issues of software and technological availability.…”

Section: Component 1: Technology and Business-related Barriermentioning

confidence: 99%

“…Most importantly, the lack of collaboration knowledge, skills and abilities led to insufficient understanding of the BIM process, and hence interoperability issues (Oraee et al, 2019). More so, capabilities and skills in BIM technology are acknowledged among the strategies for enhancing BIM implementation (Ma et al, 2020). Similarly, in Iran which is a developing country like Nigeria, Marefat et al (2019) identified lack of well-trained personnel among the factors that lead to failure in the adoption of BIM.…”

Section: Component 2: Training and People-related Barriermentioning

confidence: 99%

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Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry

Olanrewaju¹,

Chileshe

Babarinde³

et al. 2020

ECAM

115

117

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PurposeThe purpose of this paper is to identify and assess the perceptions of constructional professionals on barriers to implementation of building information modeling (BIM) within the Nigerian construction industry.Design/methodology/approachA scoping literature review was conducted to identify the fourteen barriers to implementation of BIM, which were employed to design a questionnaire survey. Data collected were analyzed using descriptive statistics, mean score, Kruskal–Wallis test, analysis of variance and multivariate techniques such as factor analysis.FindingsThe descriptive and empirical analysis demonstrated a disparity of ranking of the 14 barriers factors among the groups; however no statistically significant differences among the 14 barriers to BIM. Based on the mean score ranking results, only three (out of 14) barriers are identified as critical (mean score greater than 3.5): few studies available on BIM and lack of knowledge, inexistence or inadequate government policies, and high cost of implementation. The results of the one-sample t-tests show that they were statistically significant differences in 10 out of 14 barriers as follows: few studies available on BIM and lack of knowledge, lack of demand for use and acceptance of BIM, inadequate contractual coordination, lack of specified standards, cost of data and information sharing, technological availability issues, reluctance of other stakeholders, business and cultural changes, data and intellectual property issues, and interoperability issues. The study, through factor analysis, categorized the fourteen barriers to BIM implementation into four principal factors. The factors are: technology and business-related barriers; training and people-related barriers; cost and standards-related barriers; and process and economic-related barriers.Practical implicationsThe identification and assessment of the key barriers to BIM implementation would be useful for the construction professionals and other stakeholder of the construction industry with the view to advance BIM adoption in Nigeria. This could also be extended to other developing countries through considerations of the local economic conditions, given the status of BIM as being in the germinating stage of development in Africa.Originality/valueThe study provides insights on the barriers to BIM implementation across the Nigerian construction sector environments. The innovative aspect of the study is the identification of the ordered and grouped (composite) set of barriers to BIM which could be used to developing appropriate mitigating solutions.

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Section: Component 1: Technology and Business-related Barriermentioning

confidence: 99%

Section: Component 2: Training and People-related Barriermentioning

confidence: 99%

Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry

Olanrewaju¹,

Chileshe

Babarinde³

et al. 2020

ECAM

115

117

View full text Add to dashboard Cite

show abstract

“…Prior studies emphasized BIM adoption frameworks from different categorical aspects. For instance, in organizational level, studies stressed the impact of financial capacity, practice, and readiness of major construction firms on the integration of BIM in organizational structures [5,15], whereas in project and industry levels, they highlighted (1) barriers and benefits of BIM adoption and diffusion in the construction industry [16], (2) diffusion challenges associated with BIM implementation [17], and (3) critical strategies of BIM adoption across different markets [18].…”

Section: Introductionmentioning

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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“…A 5-point Likert scale, ranging from 1 � not critical, 2 � not quite critical, 3 � fairly critical, 4 � very critical, and 5 � extremely critical, was adopted in this study to get the perception of professionals who consisted of clients, consultants, contractors, and academia and are currently working in public construction projects across Ethiopia. Prior studies suggest that a 5-point Likert scale has been proven to be useful for a reliable data analysis in similar investigations around the world [41,44]. e draft questionnaire then was sent to four experienced professionals (2 in academia and 2 in the industry) for content validation.…”

Section: Data Collectionmentioning

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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Critical Strategies for Enhancing BIM Implementation in AEC Projects: Perspectives from Chinese Practitioners

Abstract: This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers.

Cited by 55 publications

References 72 publications

Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry

Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry

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

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

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