Murguia, D; Vasquez, C; Demian, P and Soetanto, R (2023) BIM adoption among contractors: A longitudinal study in Peru. Journal of Construction Engineering and Management, 149(1): 04022140, ISSN 0733-9364
Abstract
Building information modeling (BIM) adoption in construction remains a challenge, yet no empirical studies were conducted to gauge adoption behavior changes over time. Such a longitudinal study of BIM adoption would be particularly significant at this pivotal point in the history of construction, as it undergoes a worldwide digital transformation. In some contexts, BIM adoption has been led by contractors without policy intervention; thus, contractors' adoption behaviors must be understood before policymakers enact top-down interventions for public construction in entire supply chains. Two cross-sectional data sets were collected in 2017 (N=303) and 2020 (N=171) in Lima, Peru, to evaluate changes in a modified technology adoption model (TAM) regarding BIM adoption. Confirmatory factor analysis (CFA), structural equation modeling (SEM), and ANOVA were used to analyze the data. This study shows that contractors adopt BIM if they believe that BIM helps to improve project performance, rather than their own individual performance. Similarly, contractors are concerned with the easiness of implementing BIM in firms and projects rather than the ease of learning BIM. Overall, perceived usefulness to project, perceived ease of implementation, and intention to use BIM had a significant change between 2017 and 2020. Although BIM implementation increased from 25% to 39% at the project level, the adoption at the user level has not significantly changed. This finding suggests that contractors value supply chain/project level implementation benefits rather than successful individual adoption. The results also show that contractors rely on in-house BIM teams or outsourced consultants to carry out BIM-related tasks. However, this would depict a within-firm digital divide between BIM teams and site management. The results are discussed in the context of national change as a BIM policy for public construction was announced by the Peruvian government in 2019. The findings of this research may be used by decision makers to target specific groups of professionals on educational programs. Policymakers could use the findings to inform roadmaps for BIM adoption in Peru and similar countries.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information modeling; contractor; longitudinal study; technology acceptance model |
| Index terms: | building information modelling, transformation, empirical study, site management, public construction, project performance, implementation, technology adoption, technology acceptance model, behaviour change, Peru, perceived ease, digital divide, structural equation modelling, perceived usefulness, confirmatory factor analysis, program, history |
| Subjects: | building construction, statistical analysis, information systems, behavioral psychology, software systems, research methods, project management theory and practice, acoustic properties, Geography, digital technology, architectural and construction history, construction operations, contractual arrangements, innovation and technology management, business |
| Topics: | Site Management, Digital Applications, Procurement, Engineering Principles, Geographical Context, Project Management, Research Practice, Business Strategy |
| 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