Olugboyega, O and Windapo, A (2023) Modelling the indicators of a reduction in BIM adoption barriers in a developing country. International Journal of Construction Management, 23(9), pp. 1581-1591. ISSN 1562-3599
Abstract
There are no clear-cut thresholds to classify the BIM implementation-centred efforts in the construction industry. This research seeks to remedy this problem by identifying the reduction indicators for tracking BIM adoption barriers and providing evidence of the indicators in South Africa. A model of BIM implementation thresholds was developed highlighting industry-level indicators (ILI), organisation level indicators (OLI), and project-level indicators (PLI). A quantitative research design was employed where data were collected through e-mail invitations and web links from a total of 975 purposively selected BIM supply chain members. Three hypotheses were postulated from the model and tested using Structural Equation Modelling (SEM). The SEM result validates the hypothesis which theorises that the indicators of a reduction in BIM adoption barriers are more noticeable at the organisation level. The results revealed that BIM adoption barriers, such as lack of BIM resources, and non-readiness of employees to accept changes, have been significantly reduced. It was concluded in this research that the South African construction industry is a BIM-frontier construction industry with noticeable indicators at the organisation level. The findings and conclusions of this research are geographically limited because the data were collected and analysed in the South African context. An important issue for future research is the investigation of essential BIM implementation strategies for the different levels in the BIM implementation thresholds.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information modelling; implementation taxonomies; implementation thresholds; utilization |
| Index terms: | evidence, strategy, developing country, structural equation modelling, building information modelling, e-mail, construction industry, South Africa, modelling, quantitative research, investigation, taxonomies, implementation |
| Subjects: | management, communication, analytical methods, evaluation and assessment methods, information systems, data collection methods, data analysis and analytics, contractual arrangements, statistical analysis, Geography, development economics, industry analysis, knowledge organization and systems |
| Topics: | Geographical Context, Procurement, Information Management, Business Strategy, International Construction, Engineering Principles, Digital Applications, Research Practice |
| Descriptive scope: | 4 PCTA |
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