Strategies for Building Information Modelling Adoption in the South African Construction Industry

Odubiyi, Tawakalitu Bisola; Aigbavboa, Clinton; Thwala, Wellington; Netshidane, Nendy

doi:10.29173/mocs133

Cited by 5 publications

(6 citation statements)

References 9 publications

(10 reference statements)

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“…The objective is to standardise the way BIM information is classified within the model (ASAQS, 2018). This correlates with the suggestion of better collaboration between the supply chain and stakeholders (Odubiyi et al, 2019). Waiting for the South African Government will not promote the BIM implementation (Potgieter, 2017), and the BIM adoption will be driven by other stakeholders in an organic manner.…”

Section: Quantity Surveyormentioning

confidence: 75%

Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

Venter

Ngobeni

Plessis

2021

Engineering Management in Production and Services

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The construction industry has often been described as stagnant and out-of-date due to the lack of innovation and innovative work methods to improve the industry (WEF, 2016; Ostravik, 2015). The adoption of Building Information Modelling (BIM) within the construction industry has been relatively slow (Cao et al., 2017), particularly in the South African Construction and Built Environment (CBE) (Allen, Smallwood & Emuze, 2012). The purpose of this study was to determine the critical factors influencing the adoption of BIM in the South African CBE, specifically from a quantity surveyor’s perspective, including the practical implications. The study used a qualitative research approach grounded in a theoretical framework. A survey questionnaire was applied to correlate the interpretation of the theory with the data collected (Naoum, 2007). The study was limited to professionals within the South African CBE. The study highlighted that the slow adoption of BIM within the South African CBE was mainly due to a lack of incentives and subsequent lack of investment towards the BIM adoption. The study concluded that the South African CBE operated mainly in silos without centralised coordination. The BIM adoption was only organic. Project teams were mostly project orientated, seeking immediate solutions, and adopted the most appropriate technologies for the team’s composition. The study implies that the South African CBE, particularly the Quantity Surveying profession, still depends heavily on other role-players in producing information-rich 3D models. Without a centralised effort, the South African Quantity Surveying professionals will continue to adopt BIM technology linearly to the demand-risk ratio as BIM maturity is realised in the South African CBE.

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Section: Quantity Surveyormentioning

confidence: 75%

Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

Venter

Ngobeni

Plessis

2021

Engineering Management in Production and Services

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“…According to Wibowo (2009) and supported by , the construction industry's economic importance stems from the fact that it benefits multiple parties involved, resulting in a snowball effect that contributes to overall economic growth. Hence, Odubiyi et al (2019) discovered that embracing BIM within the parties involved in the supply chain is key factor in stimulating the acceptance of BIM in the industry. Akinradewo et al (2022b) highlighted that the public sector is the largest client for the construction industry in any given country.…”

Section: Bim For Construction Project Planningmentioning

confidence: 99%

“…Additionally, the private sector plays a vital role in creating new business techniques and opportunities (Akinradewo et al, 2021). Therefore, a collaborative effort between the public and private sectors, as proposed by Odubiyi et al (2019), could promote greater adoption of BIM. Although Building Information Modeling (BIM) Level 2 has been widely adopted, there are still some indications that SMEs are slow to adopt the technology.…”

Section: Bim For Construction Project Planningmentioning

confidence: 99%

Building Information Modelling (BIM) for Project Planning: Measures to Improve Its Adoption

Akinradewo,

Oguntona,

Ogunbayo

et al. 2023

Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)

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The Architecture Engineering and Construction Industry (AEC) uses Building Information Modelling (BIM) to simplify and enhance sustainability in construction projects. The industry experiences difficulties in achieving project success globally and nationally due to insufficient planning. Technology is required to address this issue by incorporating it into the project planning phase. Therefore, BIM is considered the necessary tool to bridge this gap. This research aims to examine the advantages of implementing BIM during the project planning stage of construction projects. To gather data, a quantitative research approach was employed, and professionals in the South African built environment were surveyed using a questionnaire. The data collected were analysed using descriptive and inferential analysis. Findings from the analysis discovered that the top three measures to improve BIM implementation for project planning in the construction industry are competitive advantage, cost and time savings, and collaboration among AEC professionals. The research concluded that these measures could encourage the adoption of BIM among construction professionals in South Africa.

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“…In developing and major African nations, BIM-related examinations are as yet examining BIM adoption and implementation. For instance, in South Africa, a considerable amount of literature has been published on BIM adoption and implementation (Olugboyega and Windapo, 2021a, b, c;Okoro et al, 2020;Odubiyi et al, 2019;Knobel et al, 2021). These studies detailed that the early adopters of BIM in South Africa understand its advantages and partake in an upper hand as they work to get and perform new tasks substantially more proficiently.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, in South Africa, a considerable amount of literature has been published on BIM adoption and implementation (Olugboyega and Windapo, 2021a, b, c; Okoro et al. , 2020; Odubiyi et al. , 2019; Knobel et al.…”

Section: Introductionmentioning

confidence: 99%

Modeling the determinants of BIM-enabled integration and collaboration

Olugboyega

Windapo

2022

FEBE

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PurposeBIM research to date has in general zeroed in on featuring the significance of BIM-enabled integration and collaboration (BIMIC) rather than giving exact proof of its occurrence. Accordingly, this research quantitatively explored the determinants of BIMIC in South Africa.Design/methodology/approachThis research conceptualized a four-pillar model of BIM-enabled integration and collaboration. The speculations in the model were examined using SEM-MLE.FindingsThe aftereffects of the SEM-MLE demonstrated that network communication, knowledge sharing, and transfer, information sharing and exchange and trust-based relationships are critical determinants of BIMIC. The model's prescient power demonstrates an acceptable validity, and the boundary gauges showed that all the hypotheses were measurably huge.Research limitations/implicationsThis research gives a hypothetical premise for further investigation of BIMIC by supporting the postulations on the occurrence of collaboration and integrations among the BIM-SCM.Practical implicationsThe idea investigated involving SEM in this research gives a holistic view to the BIM managers in arranging BIM-based activities and overseeing BIM cycles and supply chain members. It likewise offers rules and structures for accomplishing and overseeing integration and collaboration among the BIM supply chain members.Originality/valueDespite 20 years of exploration on the BIM concept and adoption, no idea has been given to clarify the determinants of integration and collaboration as a BIM cycle. The four-pillar model of BIMIC created and tested in this research clarified BIMIC and contributed a new model to the current literature on the BIM process.

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Strategies for Building Information Modelling Adoption in the South African Construction Industry

Cited by 5 publications

References 9 publications

Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

Building Information Modelling (BIM) for Project Planning: Measures to Improve Its Adoption

Modeling the determinants of BIM-enabled integration and collaboration

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