Drivers for implementation of building information modeling (BIM) within the Nigerian construction industry

Olanrewaju, O I; Babarinde, S A; Chileshe, N and Sandanayake, M (2021) Drivers for implementation of building information modeling (BIM) within the Nigerian construction industry. Journal of Financial Management of Property and Construction, 26(3), pp. 366-386. ISSN 1366-4387

Abstract

Purpose: The Nigerian construction industry, like in most emerging economies has been slow with technological advances such as building information modeling (BIM). More so, the application of BIM among Nigerian practitioners is rather limited to architects' usage for schematic design and presentation of drawings. The purpose of this study is to enhance BIM’s uptake, this study explores the drivers for the implementation of BIM within the Nigerian construction industry. Design/methodology/approach: An interpretivist epistemological design was adapted to extensively manually review and search the literature on BIM implementation drivers. Based on 14 drivers for BIM implementation drivers identified, a survey questionnaire was used to collect data from the Nigerian construction practitioners. The data obtained is then subjected to descriptive, inferential statistics and multivariate techniques such as factor analysis. Findings: The study, through factor analysis, categorized the 14 drivers to BIM implementation into four principal factors. The factors are construction related-drivers; process digitalization and economic-related drivers; sustainability and efficiency-related drivers; and visualization and productivity-related drivers. Practical implications: To effectively adopt BIM in the construction industry, it is necessary to identify the BIM implementing drivers, which can act as catalysts of change and, thus leading to sustained adoption of BIM. Therefore, the identified drivers and categorization of principal factors could provide managerial implications for better execution and adoption of BIM, as well as the creation of the required change for the BIM implementation. Originality/value: The research provides insights into the implementation drivers of BIM in lesser studies in a developing country such as Nigeria. The study further contributes to this research sphere by using factor analysis to customize and contextualize the drivers that were previously identified.

Item Type: Article
Uncontrolled Keywords: building information modeling; built environment; construction; construction in developing countries; drivers; factor analysis; Nigeria
Index terms: practitioner, questionnaire, methodology, visualization, digitalization, developing country, survey, construction practitioner, drawing, built environment, architect, factor analysis, construction industry, implementation, statistics, efficiency, building information modelling, emerging economy, Nigeria, productivity
Subjects: mathematical modelling, profession, data collection methods, practitioner, technical documentation, digital technology, contractual arrangements, performance management, research methods, economic development, management, design practice, development economics, professional development, Geography, statistical analysis, information systems, industry analysis, infrastructure and transport systems
Topics: Design Practice, Urban Studies, Digital Applications, Quality Management, International Construction, Roles and Professions, Procurement, Business Strategy, Research Practice, Geographical Context, Information Management
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