Antecedents of building information modelling adoption among quantity surveyors in Ghana

Addy, Michael Nii; Adinyira, Emmanuel; Ayarkwa, Joshua

doi:10.1108/jedt-06-2017-0056

Cited by 22 publications

(22 citation statements)

References 40 publications

(61 reference statements)

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“…On the individual level, Unified theory of acceptance and use of technology (UTAUT) is usually employed for BIM adoption. Addy et al [26] studied factors affecting BIM adoption for quantity surveyors in Ghana with UTAUT; Howard et al [27] added the variable of attitude and employs moderators of experience and voluntariness to UTAUT. Empirical study indicated that BIM was perceived as an unrewarded addition to existing work processes.…”

Section: Bim Adoptionmentioning

confidence: 99%

“…This conclusion is consistent with Dossick's [63] conclusion that information technology adoption in the construction industry depends on personal leadership. Further, Won [26] concluded that the interest and willingness of project managers are the most important success factors in BIM adoption. Especially in AEC organizations in China, a leader always has administrative Corporate/project leadership and software functionality are two fundamental factors affecting BIM adoption in AEC organizations.…”

Section: Hierarchical Analysismentioning

confidence: 99%

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Interpretive Structural Model Based Factor Analysis of BIM Adoption in Chinese Construction Organizations

et al. 2019

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The adoption of Building Information Modeling (BIM) will definitely improve the efficiency and quality of the AEC (architecture, engineering and construction) industry. However, many factors need to be improved before BIM adoption. Based on the interaction between institutions and technology, factors affecting BIM adoption in AEC organizations, within the context of China, are identified and analyzed. Firstly, 21 factors are identified by literature research. Then, an interpretive structural model (ISM) technique is used to establish a hierarchical structure, and matrix impacts cross-reference multiplication applied to a classification (MICMAC) is used for factor classification. The results indicate that corporate/project leadership and software functionality are the two fundamental factors. What’s more, the dynamic mechanism has gradually changed from top-down to a combination of top-down and bottom-up.

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Section: Bim Adoptionmentioning

confidence: 99%

Section: Hierarchical Analysismentioning

confidence: 99%

Interpretive Structural Model Based Factor Analysis of BIM Adoption in Chinese Construction Organizations

et al. 2019

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“…More so, the higher levels of BIM awareness in Nigeria do not necessarily translate into implementation (Saka and Chan, 2019c). On the other hand, other studies including (Gamil and Rahman, 2019;Addy et al, 2018;Olawumi and Chan, 2019b) have highlighted the importance of awareness of BIM, and need for investigating the barriers, and antecedents in developing countries, and development of benchmarking model that will enhance BIM. However, there is limited knowledge on the barriers to implementation of building information modelling (BIM) within the Nigerian construction industry, viewed from the construction professional's lenses.…”

Section: Introductionmentioning

confidence: 99%

Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry

Olanrewaju¹,

Chileshe

Babarinde³

et al. 2020

ECAM

108

117

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PurposeThe purpose of this paper is to identify and assess the perceptions of constructional professionals on barriers to implementation of building information modeling (BIM) within the Nigerian construction industry.Design/methodology/approachA scoping literature review was conducted to identify the fourteen barriers to implementation of BIM, which were employed to design a questionnaire survey. Data collected were analyzed using descriptive statistics, mean score, Kruskal–Wallis test, analysis of variance and multivariate techniques such as factor analysis.FindingsThe descriptive and empirical analysis demonstrated a disparity of ranking of the 14 barriers factors among the groups; however no statistically significant differences among the 14 barriers to BIM. Based on the mean score ranking results, only three (out of 14) barriers are identified as critical (mean score greater than 3.5): few studies available on BIM and lack of knowledge, inexistence or inadequate government policies, and high cost of implementation. The results of the one-sample t-tests show that they were statistically significant differences in 10 out of 14 barriers as follows: few studies available on BIM and lack of knowledge, lack of demand for use and acceptance of BIM, inadequate contractual coordination, lack of specified standards, cost of data and information sharing, technological availability issues, reluctance of other stakeholders, business and cultural changes, data and intellectual property issues, and interoperability issues. The study, through factor analysis, categorized the fourteen barriers to BIM implementation into four principal factors. The factors are: technology and business-related barriers; training and people-related barriers; cost and standards-related barriers; and process and economic-related barriers.Practical implicationsThe identification and assessment of the key barriers to BIM implementation would be useful for the construction professionals and other stakeholder of the construction industry with the view to advance BIM adoption in Nigeria. This could also be extended to other developing countries through considerations of the local economic conditions, given the status of BIM as being in the germinating stage of development in Africa.Originality/valueThe study provides insights on the barriers to BIM implementation across the Nigerian construction sector environments. The innovative aspect of the study is the identification of the ordered and grouped (composite) set of barriers to BIM which could be used to developing appropriate mitigating solutions.

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“…One of the most important adoption models accepted by technology adoption scholars is the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al, 2003). The model has been applied to investigate BIM adoption in several contexts such as the United Kingdom (Davies and Harty, 2013;Howard et al, 2017), Ghana (Addy et al, 2018), Australia (Sargent et al, 2012), and Peru (Murguia, Demian, et al, 2021). However, it is recognised that UTAUT neglects the broader institutional context in which the information technology is deployed.…”

Section: Introductionmentioning

confidence: 99%

The role of the industry's cultural-cognitive elements on actors' intention to adopt BIM: an empirical study in Peru

Murguia

Demian

Soetanto

2021

ECAM

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PurposeThe current understanding of building information modelling (BIM) adoption often neglects the industry context in which BIM is deployed. This is particularly problematic when policymakers are planning to enact top-down policies to promote BIM adoption in public-funded construction. Therefore, the aim of this study is to establish the industry-level factors that constraint or enable actors' intention to adopt BIM.Design/methodology/approachUsing institutional theory with an emphasis on the cultural-cognitive elements, the authors aim to complement the understanding of BIM adoption by incorporating institutional elements into the unified theory of acceptance and use of technology (UTAUT). The cultural-cognitive elements were extracted from focus groups and interviews with architecture, construction and engineering (AEC) professionals in Peru. A modified UTAUT was empirically tested using confirmatory factor analysis (CFA) and structural equation modelling (SEM) with a dataset from 171 questionnaire responses.FindingsThe industry characteristics, standardisation, affordability and technology/methodology definition of BIM were found to be the cultural-cognitive elements having direct effects on individual reactions to BIM. These findings suggest that BIM adoption policies should focus on designing incentives schemes, training/educating professionals on BIM collaborative processes and developing/adapting applicable standards. However, a BIM adoption mandate would require policymakers to create collaborative procurement environments in tandem with information management and process standards.Practical implicationsFindings can be used by policymakers to significantly promote BIM adoption in contexts without a government mandate for public sector construction.Originality/valueThe study of institutional elements on BIM adoption is still limited. This study provides empirical evidence on how the cultural-cognitive elements of the industry context are associated with actors' intention to adopt BIM. Therefore, this study bridges industry and individual levels of analysis. Furthermore, this study enables policymakers to initiate actions that significantly encourage BIM adoption.

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Antecedents of building information modelling adoption among quantity surveyors in Ghana

Cited by 22 publications

References 40 publications

Interpretive Structural Model Based Factor Analysis of BIM Adoption in Chinese Construction Organizations

Interpretive Structural Model Based Factor Analysis of BIM Adoption in Chinese Construction Organizations

Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry

The role of the industry's cultural-cognitive elements on actors' intention to adopt BIM: an empirical study in Peru

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