Technology-Organisation-Environment Framework for Building Information Modelling (BIM) Adoption Challenges for Contractor’s Organisations in Malaysia

Mohammad, Wan Nur Syazwani Wan; Abdullah, Mohd Rofdzi; Ismail, Shariman Ismadi; Takim, Roshana

doi:10.1166/jctn.2019.7885

Cited by 8 publications

(7 citation statements)

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“…2018; Manzoor et al, 2021;Hire et al, 2022). As the construction industry relies on many external bodies, such as government and industry associations, it can affect BIM adoption (Babi c and Rebolj, 2016;Mohammad et al, 2019;Ramanayaka and Venkatachalam, 2015). Therefore, it is vital to test the impact of environmental factors on BIM implementation.…”

Section: Building Information Modellingmentioning

confidence: 99%

“…TOE has three dimensions: technology, organization and environment. BIM adoption is a complex phenomenon with varying perspectives and is better explained by the TOE (Ahuja et al, 2016(Ahuja et al, , 2018bChen et al, 2019;Mohammad et al, 2019;Shehzad et al, 2021aShehzad et al, , 2021bShehzad et al, , 2021c. The first motivation to use TOE is because BIM adoption is a very revolutionary process that requires a detailed assessment before implementation.…”

Section: Theoretical Foundations Of the Studymentioning

confidence: 99%

“…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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Section: Building Information Modellingmentioning

confidence: 99%

Section: Theoretical Foundations Of the Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Ahmed

Shehzad²,

Khurshid³

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Therefore, a fourfold contextual framework is proposed to adopt PSCP factors‐technological, organisational, environmental, and supply chain contexts. The adoption of the TOE and SC perspectives for our study was motivated by the organisational adoption studies (see Lin, 2014; Mohammad et al, 2019; Orji, Kusi‐Sarpong, Huang, & Vazquez‐Brust, 2020; Pool et al, 2015; Safari et al, 2015; Wang et al, 2016 for TOE framework and Gong et al, 2019; Kara et al, 2020; Munir et al, 2020; Pirittila et al, 2020; Scniederjans et al, 2020 for SC perspective). Hence, the use of the TOE and SC perspectives in underpinning and investigating organisational initiative adoption is an excellent framework supported by the literature.…”

Section: Multi‐case Study Examplementioning

confidence: 99%

A hybrid multi‐criteria decision‐making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry

Khan

Gupta

Gunasekaran

et al. 2022

Multi Criteria Decision Anal

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Pharmaceutical Supply Chain (PSC) plays a critical role in the healthcare sector. This study identifies, validates, and prioritises the factors that play a crucial role in PSC performance, adopting a threefold approach. In the first stage performance, indicators were identified through an extensive review of the literature. With the help of expert opinion, the identified factors were validated and then categorised based on technological—organisational—environmental (TOE) and supply chain (SC) theories to propose a framework. The Pakistani Pharmaceutical sector firms were selected to investigate the cause and effect relationship among the factors, their interdependencies, and impact on overall PSC performance. This investigation was supported by a novel integrated analytic model composed of best worst method (BWM), decision‐making trial and evaluation laboratory (DEMATEL), and analytical network process (ANP) methods. The results indicate that ‘human resource skills, competencies, and involvement’, ‘process improvement and healthcare reform, and manufacturing’, and ‘distribution and inventory management’ are the top three factors that have a high impact on the overall PSC performance. This study outcome help inform decision‐makers and managers in the healthcare sector in formulating strategies to improve their SC performance.

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Building Information Modelling Adoption: Systematic Literature Review

Shehzad

Ibrahim

Yusof

et al. 2021

Lecture Notes on Data Engineering and Communications Technologies

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Technology-Organisation-Environment Framework for Building Information Modelling (BIM) Adoption Challenges for Contractor’s Organisations in Malaysia

Cited by 8 publications

References 0 publications

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

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

A hybrid multi‐criteria decision‐making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry

Building Information Modelling Adoption: Systematic Literature Review

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