Evaluation of the Saudi Construction Industry for Adoption of Building Information Modelling

Aljobaly, Obaid Talal; Banawi, Abdulaziz

doi:10.1007/978-3-030-20454-9_49

Cited by 16 publications

(18 citation statements)

References 12 publications

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“…e result coincides with the findings of [1,2]. Prior studies insisted that the private construction sector is usually tied with the proper coordination and leadership of top management in order to make crucial decisions regarding future business operations [8,12]. is is also greatly visible in the Ethiopian construction sector where the external political and economic factors greatly affect the construction business decisions [24].…”

Section: Private Construction Sectorsupporting

confidence: 77%

“…Recently, the implementation of BIM in construction projects is growing in the construction business environment [19]. Previous studies highlighted that the extent and level of BIM uptake vary across construction market practices, as well as nature and complexity of projects [8,20].…”

Section: Research Backgroundmentioning

confidence: 99%

“…As a technological innovative process, effective projectspecific BIM adoption schemes require a thoughtful and well-established strategy and implementation plan [1,8]. Adopting BIM in both public and private construction sectors entails collaborative integration of stakeholders in various stages of the project life cycle [9,10].…”

Section: Introductionmentioning

confidence: 99%

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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: Private Construction Sectorsupporting

confidence: 77%

Section: Research Backgroundmentioning

confidence: 99%

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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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“…e authors identified different types of risks from external, internal, and cultural perspectives. More so, in Saudi Arabia and Bangladesh, risk factors such as high initial investment cost and unavailability of policies and insurances for risks that may arise from using BIM in construction projects affect the extent of BIM adoption and diffusion in the construction sector [16,17].…”

Section: Component IImentioning

confidence: 99%

“…A number of research publications have emerged to address the extent of BIM implementation in various infrastructure construction projects. For instance, recent studies conducted in Nigeria [12], Pakistan [13], Malaysia [14], Armenia [15], Bangladesh [16], and Saudi Arabia [17] reported a low BIM uptake in developmental construction projects and recommended having collaborative efforts by the regulatory body, policy makers, and major stakeholders.…”

Section: Introductionmentioning

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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Modeling bidding decisions and bid markup size for construction projects: A fuzzy approach

Zaqout

Islam

Hadidi

et al. 2022

Engineering Applications of Artificial Intelligence

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Evaluation of the Saudi Construction Industry for Adoption of Building Information Modelling

Cited by 16 publications

References 12 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

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

Modeling bidding decisions and bid markup size for construction projects: A fuzzy approach

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