Understanding barriers to BIM implementation: Their impact across organizational levels in relation to BIM maturity

Siebelink, Sander; Voordijk, Hans; Endedijk, Maaike Dorine; Adriaanse, Adriaan Maria

doi:10.1007/s42524-019-0088-2

Cited by 53 publications

(36 citation statements)

References 34 publications

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“…Organizational support positively affects the perceived ease of use and usefulness of BIM among employees (Park et al, 2019). Top management support is also vital for achieving BIM maturity development (Siebelink et al, 2020). A strong top management support can strengthen the initiatives adopted by frontline members to maintain a positive influence over BIM implementation processes (Liao & Teo, 2019).…”

Section: Strategic Initiatives Enablersmentioning

confidence: 99%

Modelling the key enablers of organizational building information modelling (BIM) implementation: An interpretive structural modelling (ISM) approach

Abbasnejad¹,

Nepal²,

Mirhosseini³

et al. 2021

ITcon

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Building Information Modelling (BIM) implementation is a dynamic process and there are a number of influential variables that may change throughout. There is little research on the dynamics of the change environment and the AEC organizations’ approaches to BIM adoption and implementation. A considerable number of BIM enablers have been identified and/or developed in the extant literature. However, stipulating BIM implementation enablers per se provides only a static view that is not adequate for describing effective management of BIM implementation in Architectural, Engineering, and Construction (AEC) organizations. This study is the second part of an ongoing research about BIM implementation enablers. In the first paper “Building Information Modelling (BIM) adoption and implementation enablers in AEC firms: a systematic literature review” (Abbasnejad et al., 2020) the organizational BIM enablers have been identified. The aim of this second paper is to (1) further review and validate the key BIM implementation enablers using both the existing literature and expert interviews, and (2) develop a structural model of the key enablers using the ISM technique to understand the mutual interaction of these enablers and identify the driving enablers and the dependent enablers. Twenty-eight enablers for BIM implementation were initially identified from the literature and subsequent discussion with experts from academia and industry has been conducted to select most key BIM implementation enablers. Eleven enablers were finally chosen based on the literature review and expert interviews and the Interpretive Structural Modeling (ISM) technique has been adopted to evaluate the contextual interrelationships among them. MICMAC (Matrix Impacts Cross-reference Multiplication Applied to a Classification) analysis was employed to classify the eleven enablers based on their dependence and driving power. The results indicate that there is no enabler in the autonomous cluster and this therefore signifies that all enablers are required for the implementation of BIM. BIM leadership and top management support have been identified as the enablers with the highest driving power in the initial stages of the BIM adoption and implementation process and for that reason, these enablers demand a greater priority given that there are other dependent enablers that will be impacted.

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Section: Strategic Initiatives Enablersmentioning

confidence: 99%

Modelling the key enablers of organizational building information modelling (BIM) implementation: An interpretive structural modelling (ISM) approach

Abbasnejad¹,

Nepal²,

Mirhosseini³

et al. 2021

ITcon

View full text Add to dashboard Cite

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“…Comparative case study with a longitudinal SNA [61] It aims to further understand the barriers to BIM implementation and how these barriers are related to BIM maturity In-depth multiple case studies [62] Investigates how external factors promote the adoption of BIM technology…”

Section: Bim Adoption and Implementation In The Infrastructure Sectormentioning

confidence: 99%

An Institutional Approach to Digitalization in Sustainability-Oriented Infrastructure Projects: The Limits of the Building Information Model

2020

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The transport sector accounts for a large share of global Co2 emissions. To mitigate the impact of climate change, several sustainability-oriented large-scale infrastructure projects such as electric road systems and expanding rail systems have recently been on the policy agenda. A parallel development that is expected to accelerate the transition of the transport sector is digitalization, which, although ongoing for many decades, has recently been augmented by concepts such as artificial intelligence (AI) and smart city technologies. The integration of these digitalization tools at the organizational level poses not only opportunities but also some challenges for the actors involved in infrastructure projects. An approach that is currently promoted in the infrastructure sector is the Building Information Model (BIM), which is a decision-making instrument that leverages various digitalization tools and applications. However, although the economic implications of BIM are widely discussed in the literature, the (inter-) organizational dynamics involving multiple actors in infrastructure projects are not fully grasped. Large infrastructure projects are sociotechnical endeavors embedded in complex institutional frames; hence the institutional norms, practices and logics in them are significant. Responding to this, this paper adopted an institutional analysis and put the BIM approach in the (inter-) organizational context in infrastructure delivery. Drawing on empirical data from three organizations in infrastructure delivery in Spain, this paper analyzed the tensions among actors during BIM adoption and implementation.

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“…The push for adopting the BIM approach in the skyrise greening requires a multitude of currently non-established workflows, guidelines, technicalities, knowledge. This is further burdened by the lack of motivation, competence and time by workers, the absence of support by management for training and education, the non-existent client demand for BIM submissions, as well as a lack of standards instituted by governing bodies (Chan, 2014, Siebelink et al, 2021. However, landscape architects still advocate for a BIM adoption across the industry (Schmidt, 2016, Ackerman, 2019 through BIM working groups (Landscape Institute, 2019).…”

Section: Introduction 11 Motivationmentioning

confidence: 99%

Ifc-Centric Vegetation Modelling for Bim

Gobeawan

Lin

Liu

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. There has been a growing interest in integrating vegetation into the built environment in order to ameliorate the negative effects of increasing urbanisation. In Singapore, government policies encourage the inclusion of skyrise greenery into new and existing buildings. To further streamline workflows, statutory BIM (Building Information Modelling) submissions in architecture, engineering and construction (AEC) industries have been mandated. However, landscape plans are still excluded from these BIM submissions due to the lack of a centralised vegetation database and the absence of a standardised BIM format for landscape architectural submissions. This paper presents a streamlined methodology for creating and using a centralised vegetation library for landscape architects. The workflow leverages off the Industry Foundation Classes (IFC) standard for data exchange regardless of the BIM authoring software used and provides a framework of four operational modules: an expandable and low-maintenance species-level vegetation library, a BIM authoring workflow that allows inclusion of vegetation objects, an IFC interface, and a lightweight 3D vegetation model generator. This paper also showcases a use-case of embedding information-enriched 3D vegetation objects into a simulated landscape plan. The proposed workflow, when adopted in AEC industries, will enable governing agencies to track diverse greening efforts by the industry and to potentially include other measurements such as cooling performance or maintainability.

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Understanding barriers to BIM implementation: Their impact across organizational levels in relation to BIM maturity

Cited by 53 publications

References 34 publications

Modelling the key enablers of organizational building information modelling (BIM) implementation: An interpretive structural modelling (ISM) approach

Modelling the key enablers of organizational building information modelling (BIM) implementation: An interpretive structural modelling (ISM) approach

An Institutional Approach to Digitalization in Sustainability-Oriented Infrastructure Projects: The Limits of the Building Information Model

Ifc-Centric Vegetation Modelling for Bim

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