The Barriers and Causes of Building Information Modelling Usage for Interior Design Industry

Hamid, Abu Bakar Abd; Taib, Mohd Zafrullah Mohd; Razak, Ahmad Haqqi Nazali Abdul; Embi, Mohamed Rashid

doi:10.1088/1757-899x/291/1/012002

Cited by 4 publications

(5 citation statements)

References 1 publication

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Section: Resultsmentioning

confidence: 99%

A bibliometric analysis of building information modelling implementation barriers in the developing world using an interpretive structural modelling approach

Takyi-Annan¹,

Hong²

2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

A bibliometric analysis of building information modelling implementation barriers in the developing world using an interpretive structural modelling approach

Takyi-Annan¹,

Hong²

2023

Heliyon

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“…2.3 Challenges to building information modelling implementation in the Architecture, Engineering and Construction industry Several factors influence BIM adoption, such as lack of industry readiness (Yusuf et al, 2017), lack of awareness (Hamid et al, 2018), lack of government initiatives (Mustaffa et al, 2017), lack of BIM professionals (Enegbuma et al, 2016) and resistance to change (Mehran 2016).…”

Section: Building Information Modellingmentioning

confidence: 99%

“…Several factors influence BIM adoption, such as lack of industry readiness (Yusuf et al , 2017), lack of awareness (Hamid et al , 2018), lack of government initiatives (Mustaffa et al , 2017), lack of BIM professionals (Enegbuma et al , 2016) and resistance to change (Mehran 2016). Other factors include lack of infrastructure (Btoush and Haron, 2017), social issues such as normative pressure (Bosch-Sijtsema et al , 2017) and technical issues such as interoperability and cost of implementation (Ghaffarianhoseini et al , 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

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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“…After a review of 124 empirical studies on BIM implementation barriers (BIMIBs) in the developing world, the lack of awareness and understanding of BIM and its benefits, associated high cost (AHC), the lack of governmental support, a general resistance to change and the lack of BIM expertise (BE) were ranked as the top five BIMIBs that the developing world struggled with in implementing BIM. Even though 51 studies identified BE in the AEC industry as one of the major barriers, no study has been conducted to explore its root causes and find practical solutions to the problem, as has been accomplished with other BIMIBs, such as AHC [18].…”

Section: Introductionmentioning

confidence: 99%

A Multivariate Analysis of the Variables Impacting the Level of BIM Expertise of Professionals in the Architecture, Engineering and Construction (AEC) Industries of the Developing World Using Nonparametric Tests

Takyi-Annan

Hong

2023

Buildings

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Building information modeling (BIM) mandates are becoming more widespread because BIM allows design and construction teams to operate more productively and also enables them to collect the data they generate during the process for use in operations and maintenance tasks. As a result, professionals in the architecture, engineering and construction (AEC) industries are expected to possess excellent BIM expertise. Despite the fact that the developing world has largely not adopted BIM, many studies have been conducted on BIM usage, awareness, drivers and barriers with a focus on the developing world. Numerous studies have pointed to the professionals’ lack of BIM expertise in the developing world’s AEC sector as a major barrier to BIM deployment. Nevertheless, no research has been conducted to assess the variables impacting the level of BIM expertise among professionals. After a detailed review of the literature, the study developed five study hypotheses and created a conceptual model to help assess the variables impacting the level of BIM expertise of professionals in the AEC industry in the developing world. After that, a questionnaire survey was carried out to collect data from 103 seasoned professionals in the Ghanaian construction industry. Nonparametric tests, such as the Kruskal–Wallis, pairwise post hoc Dunn, Mann–Whitney, Pearson’s correlation and the partial least squares structural equation modeling (PLS SEM) tests, were adopted to assess the relationships between the level of BIM expertise of professionals (BE) and the following variables: (1) profession (P), (2) the frequency of BIM use by professionals (BF), (3) the highest dimension of BIM adopted by AEC firms and companies (BD), (4) professionals’ perception of BIM (PB) and (5) the BIM implementation barriers (BIMIBs). P, BF, BD and PB were found to have a substantial impact on the level of BIM expertise acquired by professionals. With regards to professionals’ perception of the BIM software and process, only one (PB3–BIM is not useful to our company at the moment) out of ten of them was found to have a significant impact on BE, highlighting the impact of employers on the level of BIM expertise of professionals. In addition, the study discovered that any resolution made in an attempt to tackle the lack of/insufficient level of BIM expertise among professionals would prove futile without significant effort from the higher education sector (HES) of the developing world and the entire world at large. The study’s conceptual, empirical, managerial and theoretical implications and findings would serve as a roadmap for researchers, professionals and academics in developing nations as they endeavor to seek more ways of increasing BIM expertise among their professionals and to encourage BIM usage throughout the project lifecycle.

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The Barriers and Causes of Building Information Modelling Usage for Interior Design Industry

Cited by 4 publications

References 1 publication

A bibliometric analysis of building information modelling implementation barriers in the developing world using an interpretive structural modelling approach

A bibliometric analysis of building information modelling implementation barriers in the developing world using an interpretive structural modelling approach

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

A Multivariate Analysis of the Variables Impacting the Level of BIM Expertise of Professionals in the Architecture, Engineering and Construction (AEC) Industries of the Developing World Using Nonparametric Tests

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