BIM business value for asset owners: key issues and challenges

Munir, Mustapha; Kiviniemi, Arto; Jones, Stephen; Finnegan, Stephen

doi:10.1108/ijbpa-10-2019-0090

Cited by 11 publications

(4 citation statements)

References 35 publications

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“…More precise characteristics of BIM commitment have been uncovered by Olugboyega and Windapo (2019), which define BIM commitment as the whole dedication of construction organisations' top management to BIM adaption, adoption, application and execution. Investigations such as Munir et al (2020) and Sinoh et al (2020) have highlighted top management commitment as a significant driving force for BIM adoption, lending support to the argument for BIM commitment as an essential component of a BIM implementation strategy. Based on this context, this study develops a hypothesis stating that BIM commitment is important for increasing the proportion of BIM adoption (Hypothesis 3).…”

Section: Conceptualising the Four-wheel Model Of Bim Implementationmentioning

confidence: 93%

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BIM implementation: an empirical validation for a four-wheel model

Olugboyega

Windapo

Aigbavboa

et al. 2022

FEBE

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PurposeBecause BIM adoption is still afflicted by various types of hurdles, a complete BIM implementation model is required to provide the necessary methods for driving BIM adoption. As a result, this study looked into the parts of the BIM implementation model that had the most impact on increasing the percentage of BIM adoption in South Africa.Design/methodology/approachThis study developed a four-wheel model of BIM implementation based on implementation process theory, which includes BIM inspiration, BIM capacity development, BIM use and BIM commitment. To assess BIM capacity development, two sub-constructs (BIM learning process and BIM learning methodologies) were used. Two sub-constructs were used to assess BIM utilisation (efficient BIM application and effective BIM application). The sub-constructs employed to quantify BIM motivation were organisational competitiveness, societal conformity and contractual obligations. Incentives, investments and obligations were used to assess BIM commitment. The model was validated using four assumptions and maximum likelihood estimation – structural equation modelling (MLE-SEM).FindingsThe MLE-SEM results demonstrated unequivocally that all of the constructions are critical components of the BIM deployment paradigm in the South African construction industry. BIM motivation, as characterised by organisational competitiveness and social compliance, has the greatest impact. The findings on BIM motivation also revealed that the desire for technological sophistication, competitiveness and social acceptance by clients are encouraging construction organisations and professionals to embrace BIM adoption.Research limitations/implicationsThis study's findings have contributed to the increasing body of literature on BIM deployment. The study has significant implications for achieving BIM implementation in underdeveloped nations where BIM deployment is either non-existent or in its early stages. The theoretical component of the study serves as the foundation for further analysis of BIM deployment.Practical implicationsThis research is important for identifying BIM goals, developing a BIM implementation framework, allocating resources for BIM implementation and defining key performance indicators for BIM implementation. The BIM implementation aspects outlined in this study will be effective in lowering BIM adoption hurdles.Originality/valueThis study makes a unique contribution to BIM research by providing theoretical and empirical analysis into the elements of the BIM implementation model in a developing country. The study offers an excellent opportunity to further our understanding of BIM application in underdeveloped nations.

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Section: Conceptualising the Four-wheel Model Of Bim Implementationmentioning

confidence: 93%

Section: Literature Reviewmentioning

confidence: 99%

BIM implementation: an empirical validation for a four-wheel model

Olugboyega

Windapo

Aigbavboa

et al. 2022

FEBE

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“…While the relative advantages of BIM enabled BIM adoption, the complexity of BIM was deemed as a critical inhibitor [54]. The intense manual evaluation suggested that complex BIM adoption circumstances, such as complexities of building characteristics [55] and work processes [56], contractual chal-lenges [57,58], interoperability trends [59], risk factors [55], political and organizational contexts [60,61], dynamics of drivers [62], and emergencies [63], have drawn the interest of many researchers. For instance, Mayouf et al [56] elicited implications of shortfalls impacting 5D BIM adoption as well as complexities facing quantity surveyors within BIM processes in the United Kingdom's construction industry.…”

Section: Qualitative Evaluationmentioning

confidence: 99%

Evaluation of Complexity Issues in Building Information Modeling Diffusion Research

et al. 2022

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This study aimed to ascertain the research status of complexity issues in building information modeling (BIM) diffusion and identify future research directions in this field. A total of 366 relevant journal articles were holistically evaluated. The visualization analysis indicated that management aspects, emergent trends (such as green building, facility management, and automation), and theme clusters (such as interoperability, waste management, laser scanning, stakeholder management, and energy efficiency) are shaping BIM research towards complexity. Areas such as supply chain, cost, digital twin, and web are also essential. The manual qualitative evaluation classified the complexity issues in BIM diffusion research into three types (complexities of network-based BIM evolution, impact of BIM adoption circumstances, and BIM-based complexity reduction for informed decision making). It was concluded that BIM has been shifting towards information models and systems-based life cycle management, waste control for healthy urban environments, and complex data analysis from a big data perspective, not only in building projects but also in heritage and infrastructure, or at the city scale, for informed decision making and automatic responses. Future research should investigate the co-evolution between collaborative networks and BIM artefacts and work processes, quality improvement of BIM-based complex networks, BIM post-adoption behaviors influenced by complex environmental contexts, and BIM-based complexity reduction approaches.

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“…Case studies prove that manual data entry in COBie and the required format structures delay the integration process [8,9,60]. This is perhaps why several studies [14,81] have advocated that some of the pressing future research areas should encompass mapping a seamless process for data exchange for BIM and O&M.…”

Section: Interoperability and Information Logistics In The Execution ...mentioning

confidence: 99%

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

Abideen¹,

Yunusa‐Kaltungo²,

Manu³

et al. 2022

Sustainability

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Although a considerable amount of research has addressed the use of building information modelling (BIM) in facilities management (FM) within the past years, there is limited systematic review on investigating the potentials of BIM within the operation and maintenance (O&M) life cycle phase. Yet, this phase could account for approximately 60% of the total life cycle costs of assets. The purpose of this paper is to conduct a systematic literature review on the application of BIM in the O&M phase to identify current research trends, research gaps and future directions. This study achieves the aforementioned purpose by adopting the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P). It employs qualitative and quantitative techniques to analyse the articles from a combination of three multi-disciplinary research databases, namely—Scopus, Web of Science and Engineering Village, which also comprises Compendex, InSpec, GeoRef and GeoBase sub-databases. After an in-depth review of 196 selected journal articles, this study systemically presents: (1) bibliometric analyses of the literature in BIM and O&M; (2) research patterns and trends; (3) drivers and barriers to BIM–O&M integration; and (4) research gaps mapped into a standard project management lifecycle to guide future research directions. The content analysis reveals that BIM has mainly been integrated under seven functions: information management (IM), advanced technology (AT), maintenance and asset management (MAM), indoor management (IM), performance assessment (PA), visualisation (V), and lean management (LM). Findings of the study reveal that the UK, USA and China are the top ranked countries with regards to research outputs on BIM–O&M integrations. The majority of BIM integrations within O&M falls under the information management function, whereas the least research output was recorded under lean management. In addition, the majority of studies focused on institutional and infrastructure facility types, but residential, industrial and commercial buildings were underrepresented, despite their disproportionate physical dominance within most societies. Findings also show that potential drivers and barriers for BIM integrations within O&M can be classified into three main categories—technical, organisational, and legal/contractual. It is then concluded that the application of BIM within O&M is still emerging, which further emphasises the need for more studies that address value realization in the context of BIM in O&M, with particular focus on the specific O&M principles for different building types.

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BIM business value for asset owners: key issues and challenges

Cited by 11 publications

References 35 publications

BIM implementation: an empirical validation for a four-wheel model

BIM implementation: an empirical validation for a four-wheel model

Evaluation of Complexity Issues in Building Information Modeling Diffusion Research

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

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