Trends of Building Information Modeling Adoption in the Turkish AEC Industry

Özener, Ozan Önder; Tezel, Ecem; Kilic, Zehra Aybike; Akdogan, Merve

doi:10.1007/978-3-030-42852-5_1

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…The construction sector’s key challenges are automation, digitization, mimetic pressure and greater capital value (Ozener et al , 2020; Faisal Shehzad et al , 2020; Mohammad et al , 2019). A competitive advantage is achieved through collective project execution and information processing (Fan et al , 2019; Aka et al , 2020; Brito et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

“…It helps model the designing, scheduling, estimation, construction and delivery of the project (Ismail et al , 2019; Moreno et al , 2019; Lu et al , 2020). Current BIM adoption studies addressed the adoption barriers and drivers in the Architecture, Engineering and Construction (AEC) industry (Ozener et al , 2020; Al-Hammadi and Tian, 2020; Chen et al , 2019; Georgiadou, 2019; Gong et al , 2019; Ma et al , 2019; Mohammad et al , 2019; Park et al , 2019). Ahmed and Kassem (2018) developed a taxonomy of BIM drivers in the UK.…”

Section: Introductionmentioning

confidence: 99%

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Examining the effect of interoperability factors on building information modelling (BIM) adoption in Malaysia

Ahmed

Shehzad²,

Khurshid³

et al. 2022

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Purpose Building information modelling (BIM) has transformed the traditional practices of the Architecture, Engineering and Construction (AEC) industry. BIM creates a collaborative digital representation of built environment data. Competitive advantage can be achieved with collaborative project delivery and rich information modelling. Despite the abundant benefits, BIM’s adoption in the AEC is susceptible to confrontation. A substantial impediment to BIM adoption often cited is data interoperability. Other facets of interoperability got limited attention. Other academic areas, including information systems, discuss the interoperability construct ahead of data interoperability. These interoperability factors have yet to be surveyed in the AEC industry. This study aims to investigate the effect of interoperability factors on BIM adoption and develop a comprehensive BIM adoption model. Design/methodology/approach The theoretical foundations of the proposed model are based on the European interoperability framework (EIF) and technology, organization, environment framework (TOE). Quantitative data collection from construction firms is gathered. The model has been thoroughly examined and validated using partial least squares structural equation modelling in SmartPLS software. Findings The study’s findings indicate that relative advantage, top management support, government support, organizational readiness and regulation support are determinants of BIM adoption. Financial constraints, complexity, lack of technical interoperability, semantic interoperability, organizational interoperability and uncertainty are barriers to BIM adoption. However, compatibility, competitive pressure and legal interoperability do not affect BIM adoption. Practical implications Finally, this study provides recommendations containing the essential technological, organizational, environmental and interoperability factors that AEC stakeholders can address to enhance BIM adoption. Originality/value To the best of the authors’ knowledge, this paper is one of the first studies to combine TOE and EIF in a single research model. This research provides empirical evidence for using the proposed model as a guide to promoting BIM adoption. As a result, the highlighted determinants can assist organizations in developing and executing successful policies that support BIM adoption in the AEC industry.

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