Olanrewaju, O I; Chileshe, N; Babarinde, S A and Sandanayake, M (2020) Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry. Engineering, Construction and Architectural Management, 27(10), pp. 2931-2958. ISSN 0969-9988
Abstract
Purpose: The 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/approach: A 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. Findings: The 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 implications: The 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/value: The 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | barriers; building information modelling; built environment; construction; Nigeria |
| Index terms: | Nigeria, building information modelling, variance, economic condition, composite, Africa, statistics, disparity, implementation, construction industry, interoperability, coordination, government policy, construction professional, factor analysis, information sharing, built environment, literature review, survey, developing country, construction sector, cultural change, methodology, intellectual property, questionnaire |
| Subjects: | intellectual property, materials science, mathematical modelling, data collection methods, economic analysis, regions and continents, data analysis and analytics, contractual arrangements, public policy, professional development, development economics, Geography, data exchange, research methods, management, statistical analysis, information systems, systems and processes, infrastructure and transport systems, industry analysis, measurement and scaling, sociology, social justice |
| Topics: | Geographical Context, Research Practice, Construction Materials, Information Management, Business Strategy, Procurement, Governance, Ethics, International Construction, Legal Issues, Digital Applications, Urban Studies, Organizational Design |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here