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

Olugboyega, Oluseye; Oseghale, Godwin Ehis; Aigbavboa, Clinton

doi:10.1108/ci-10-2021-0199

Cited by 10 publications

(11 citation statements)

References 39 publications

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“…This reality has encouraged scholars to conceptualise and benchmark BIM implementation models in poor countries (Olawumi and Chan, 2019;Olugboyega and Windapo, 2019), investigate BIM implementation uptake and hurdles (Ismail et al, 2017;Babatunde et al, 2020;Adekunle et al, 2020;Olanrewaju et al, 2020;Saka and Chan, 2021;Olugboyega and Windapo, 2021b) and look at BIM implementation activities and projects in emerging nations (Hamma-adama and Kouider, 2019). Furthermore, researchers have looked into measures and strategies for improving BIM implementation (Belay et al, 2021), markers for gauging a decrease in BIM implementation barriers (Olugboyega and Windapo, 2021a), determining factors for BIM implementation (Al-Mohammad et al, 2022), scientific proof for project-level BIM adoption (Olugboyega et al, 2022) and strategic planning of BIM acceptance and integration in projects (Olugboyega and Windapo, 2021c).…”

Section: Literature Review 21 Bim Implementation Level In Developing ...mentioning

confidence: 99%

“…, 2021), markers for gauging a decrease in BIM implementation barriers (Olugboyega and Windapo, 2021a), determining factors for BIM implementation (Al-Mohammad et al. , 2022), scientific proof for project-level BIM adoption (Olugboyega et al. , 2022) and strategic planning of BIM acceptance and integration in projects (Olugboyega and Windapo, 2021c).…”

Section: Literature Reviewmentioning

confidence: 99%

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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: Literature Review 21 Bim Implementation Level In Developing ...mentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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

Olugboyega

Windapo

Aigbavboa

et al. 2022

FEBE

Self Cite

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“…These findings are also aligned with Girginkaya Akdag and Maqsood (2020) where professionals ranked cost estimation and design visualization as BIM applications with highest priority. Furthermore, in Olugboyega et al (2023) clash detection was found to be the most common BIM function utilized in the observed case studies which were based in Nigeria. Finally, Acheng et al (2022) found the among the most frequently utilized BIM functions by industry experts in Uganda was the creation of drawings.…”

Section: Discussionmentioning

confidence: 95%

“…In India, Gaur and Tawalare (2022) identified five categories of BIM benefits according to industry who participated in a mega public project utilizing BIM which included asset tagging, optimization of design, monitoring of progress, rapid decisionmaking and the monitoring and control of cost. In Nigeria, Olugboyega et al (2023), who conducted a case study of five projects adopting BIM, found that the BIM functions which were most employed included design review and clash detection. In Uganda, Acheng et al (2022) found the most common BIM functions used in their practice by industry experts included creation of drawings and site planning.…”

Section: Bim Research In Developing Countriesmentioning

confidence: 99%

Exploring the application of BIM in Tanzanian public sector projects using social network analysis

Abdallah

Doloi

Holzer

2023

BEPAM

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PurposeThe present study employs social network analysis (SNA) to demonstrate the extent to which various building information modeling (BIM) functions can be used to address significant issues faced by the Tanzanian public sector construction projects.Design/methodology/approachThis study adopted secondary data obtained from a comprehensive literature review on core BIM functions and the underlying issues faced by the Tanzanian public sector construction projects. This study then adopted SNA for associating the BIM functions with relevant construction issues.FindingsFor Objective 1, the findings revealed that BIM can address 68% of significant issues faced by the Tanzanian public sector construction projects. For Objective 2, the findings revealed that the identified functions mainly addressed issues in the early phases of the project. Finally, for Objective 3, the most effective function was “spatial coordination.”Research limitations/implicationsThis literature-based study does not fully capture both the current contextual issues faced by the industry and the BIM capability of stakeholders involved. In addition, this research does not distinguish between public project size and type which can influence the types of issues faced and consequently the use of BIM function. Accordingly, the research presented in this study needs to be complemented by on-the-ground feedback of industry stakeholders and needs to investigate how project size and type impacts the types of issues that emerge and the use of BIM.Practical implicationsWith respect to practice, the findings of the present study highlight key BIM functions practitioners can begin to target.Social implicationsIn Tanzania, public sector construction projects contribute greatly to social development of Tanzania's population. Owing to the current state of public sector projects underperforming and the negative impact the projects have on the country's development, an intervention measure such as BIM has the potential to enhance the effective and efficient delivery of these projects and thereby promote the social development of the country's population.Originality/valueWith respect to theory, this study demonstrates how core functions of BIM can be mapped with various construction-related issues in order to evaluate the efficacies of the BIM-based investments for improving overall performance in the public sector projects. With respect to practice, the method illustrated in the present study can be applied by policymakers and practitioners to identify core BIM functions to target to address pressing contextual issues faced by public sector projects in the respective contexts.

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“…Amuda-Yusof (2017); Chen et al (2018) revealed that the culture in a BIM project can be perceived in terms of the coordination's and integrations within the project delivery process performed by the people and the interactions between themselves through patterns of attitudes, values, beliefs, and behaviours shared. Even though culture is a recurring area in the extant BIM literature, existing BIM-based literature reviews do not provide in-depth discussions to reveal the significance of culture in BIM context Eadie et al, 2013;Abdul Ghafar & Ibrahim, 2018;Olugboyega et al, 2020). However, some studies describe professional and industry culture as significant in BIM adoption (Ahuja et al, 2018).…”

Section: Culture Orientationmentioning

confidence: 99%

Building Information Modelling (BIM) and Job Performance: An Empirical Analysis in Public Sector Project Management

Mahmood¹,

ZaharI²,

Zainuri³

et al. 2022

IJARBSS

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The construction sector often faces various problems especially related to time, rising costs, project delays, waste and errors that can hinder the economic development. In order to overcome the problems, application of Building Information Modeling (BIM) in construction project is actively implemented in improving work efficiency and performance among industry practitioners especially in developed countries. Nonetheless, the ability of BIM towards highlighting its productivity and performance cannot be seen in the construction industry in Malaysia and faces several challenges that affected the job performance. Therefore, this study examines the relationship between various critical success factors and job performance among professionals who have used BIM applications in construction of project management. The stratified sampling method with the population of 345 professionals who practice the use of BIM applications in construction project management are applied in the study. The total population was collected from a preliminary study of the number of pre-contract stages in PWDs that had implemented BIM. Two models were constructed to be analyzed for multiple regression analysis. Findings revealed that four factors (collaborative synergy, ICT utilization, commitment and knowledge, culture orientation) have a significant positive relationship with job performance. While, external factor (collaborative synergy) has the most significant influence on job performance among those involved with the use of BIM applications. The findings of the study also have highlighted two major weaknesses that limit the effectiveness of the use of BIM applications are related to digital skills among staff and lack of support from management. These elements of weaknesses are seen to have affected the work performance in Malaysian construction sector. In the future research, to get more comprehensive view it is suggested several other factors especially external factors such as government policy and legislation, BIM guidelines and standards are to be considered in the study.

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

Cited by 10 publications

References 39 publications

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

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

Exploring the application of BIM in Tanzanian public sector projects using social network analysis

Building Information Modelling (BIM) and Job Performance: An Empirical Analysis in Public Sector Project Management

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