Assessing the relationships between underlying strategies for effective building information modeling (BIM) implementation in Nigeria construction industry

Aka, Adefemi; Iji, Justina; Isa, Rasheed; Bamgbade, Adebisi Abosede

doi:10.1080/17452007.2020.1847026

Cited by 10 publications

(10 citation statements)

References 24 publications

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“…Not at all like past investigations by Hamma-adama et al (2018), Olarenwaju et al (2021), Ezeokoli et al (2016), Aka et al (2020), Ede (2014) and Olugboyega (2016), the discoveries of this study have set up the nature and design of project-level BIM adoption in Nigeria. The findings have given bits of knowledge into the idea of project-level BIM adoption in Nigeria according to the usage of BIM tools, technologies, procedures and standards.…”

Section: Discussion Of Findingsmentioning

confidence: 58%

“…Nigeria is another African country with a high number of BIM-related studies. For example, strategies and models for BIM implementation (Aka et al , 2020; Olugboyega and Windapo, 2019b; Gyang, 2020), BIM implementation framework for mass housing projects (Adindu et al , 2020), level of BIM uptake (Hamma-adama et al , 2018; Olugboyega and Aina, 2018) have been investigated by scholars in Nigeria. Other research efforts regarding BIM adoption in construction projects have also concentrated on the impact of BIM drivers and awareness on the project lifecycle (Olarenwaju et al , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Hamma-adama et al (2018) argued that some professionals in Nigeria are currently using BIM. The study by Aka et al (2020) used a mixed-method to investigate the extent of BIM adoption in the Nigerian construction industry based on the number and type of projects in which BIM is being adopted. The study (ibid) found that BIM is adopted more in commercial buildings and concluded that BIM adoption in projects is very slow in the Nigerian construction industry.…”

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confidence: 99%

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Multiple holistic case study of project-level building information modelling (BIM) adoption in Nigeria

Olugboyega

Oseghale

Aigbavboa

2022

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Purpose This study aims to undertake a contextual analysis of project-level building information modelling (BIM) adoption in Nigeria and demonstrate how BIM is applied across different projects in Nigeria. Design/methodology/approach This research generates contextual and holistic understandings of multiple project-level cases of BIM adoption through an interpretive paradigm guided by relativist ontology and subjectivist epistemology. Two models of project-level BIM adoption (ten-factor theory of BIM adoption and strategic-contingent model of BIM adoption) were merged to formulate the BIM adoption assessment scale (BIM-AAS). A qualitative-oriented case study protocol was developed to extract valid and reliable data from external and internal project data based on BIM-AAS features. The extracted data were analysed using the pattern-matching technique and cross-case analysis. Findings The results indicate that there was substantial use of BIM tools and technologies in the projects. All the projects adopted collaborative procurement and team and developed integrated building information models. The use of BIM tools, technologies and processes in the projects was found to be above average. The complexities and expectations levels of the projects compliment the nature of BIM adoption in the projects. Research limitations/implications The BIM-AAS adopted in this research is an excellent example of a project-level BIM adoption analytical tool. It can be assumed in future research. Also, this research contributes to the theory that the level of project complexity and expectations must align with the level of BIM adoption in projects. The study’s findings ratify BIM tools, technologies and processes as the elements of project-level BIM adoption. Practical implications This research substantiates the actual nature and structure of BIM adoption in Nigeria, thereby simplifying the development of initiatives towards BIM adoption in projects and determining the appropriate strategies for BIM implementation and innovation in the Nigerian construction industry. The most important initiative that the Nigerian government can make to drive BIM implementation is the automating of code checking for building rules and regulations in Nigeria. Originality/value Previous studies have only reported cases of project-level BIM adoption using surveys and without a standardised project-level BIM adoption model to guide the analysis. This study is the first to formulate and use BIM adoption models for a uniform, critical and contextual analysis of project-level BIM adoption.

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Section: Discussion Of Findingsmentioning

confidence: 58%

Section: Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

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Multiple holistic case study of project-level building information modelling (BIM) adoption in Nigeria

Olugboyega

Oseghale

Aigbavboa

2022

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“…Scholars' recommended models for fruitful BIM implementation include industry stakeholders and government BIM policies; BIM institutes; BIM implementation enforcement bodies; BIM curriculum in undergraduate built environment programs; BIM-based capacity building and cultural re-orientation; BIM seminars and workshops; and BIM-based construction management (Olarenwaju et al ., 2021; Aka et al ., 2021). The models, as convenient and energizing as they are, appear to have overlooked basic BIM implementation concerns such as BIM adequacy, BIM value, BIM viability and project qualities, BIM application and project assumptions, and the viability of BIM implementation for small and medium-sized businesses (Olugboyega et al.…”

Section: Literature Reviewmentioning

confidence: 99%

BIM implementation model from the standpoint of concern-based adoption theory

Olugboyega,

Elubode,

Oseghale

et al. 2023

FEBE

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PurposeThis study investigated the concerns and plans of construction professionals about building information modeling (BIM) implementation, found the acceptable BIM implementation driving forces and strategies for them and developed a prescriptive BIM implementation model to help understand how BIM implementation concerns, intentions, driving forces and strategies are connected.Design/methodology/approachThis study employs a positivist paradigm with a hypothetico-deductive research strategy as well as concern-based adoption theory as a conceptual lens to distinguish construction professionals (CPs)' BIM implementation concerns and intentions. This implies that the forces driving BIM implementation intentions and concerns are related to BIM implementation methods and that their concentrations are proportional to the intensity of BIM implementation strategies. A 16-item questionnaire tailored to the operations of CPs was used for data collection. The data collected from respondents were utilized to evaluate the proposed model using structural equation modeling (SEM) techniques.FindingsFindings from the data collected from the respondents revealed that CPs are concerned about the impact of BIM deployment on their time and service quality. Their main purpose was to take drives to learn more about BIM in order to pique their curiosity. Embracing the latest digital technology and beginning self-initiated BIM training are two strategies that would be quite effective in boosting BIM deployment.Research limitations/implicationsThe study identifies promising directions for future BIM implementation research and development. The study's findings imply that more theoretically motivated research, rather than just empirical research, is required to refine BIM implementation concerns.Practical implicationsThe study has implications for the professional development of CPs as well as understanding the process of implementing BIM change. The study's findings will help to understand the resource system for assessing CPs' needs and concerns and selecting personalized BIM implementation strategies.Originality/valueBefore this study, BIM-related studies had ignored the concerns and goals of the CPs when it came to implementing BIM. Using the CPs' concerns and hopes for BIM implementation, a systemic BIM implementation model was developed that would help and speed up BIM adoption.

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“…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). Building information modelling (BIM) offers identification, collision detection, project control, environmental analysis, risk assessment, site control, 3D modelling, design preparation and simulation (Bosch-Sijtsema et al , 2019).…”

Section: Introductionmentioning

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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Assessing the relationships between underlying strategies for effective building information modeling (BIM) implementation in Nigeria construction industry

Cited by 10 publications

References 24 publications

Multiple holistic case study of project-level building information modelling (BIM) adoption in Nigeria

Multiple holistic case study of project-level building information modelling (BIM) adoption in Nigeria

BIM implementation model from the standpoint of concern-based adoption theory

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

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