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

Murguia, D; Demian, P and Soetanto, R (2023) The role of the industry's cultural-cognitive elements on actors' intention to adopt BIM: An empirical study in Peru. Engineering, Construction and Architectural Management, 30(3), pp. 1183-1200. ISSN 0969-9988

Abstract

Purpose: The 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/approach: Using 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. Findings: The 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 implications: Findings can be used by policymakers to significantly promote BIM adoption in contexts without a government mandate for public sector construction. Originality/value: The 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.

Item Type: Article
Uncontrolled Keywords: building information modelling; construction industry; cultural-cognitive elements; institutions; Peru
Index terms: affordability, public sector, mandate, methodology, confirmatory factor analysis, Peru, interview, construction industry, evidence, institutional theory, structural equation modelling, direct effect, building information modelling, focus group, dataset, empirical study, standardization, questionnaire
Subjects: data management, administrative law, Geography, sociology, economic analysis, research methods, industry analysis, statistical analysis, factor and component analysis, performance measurement, political science, evaluation and assessment methods, information systems, data collection methods
Topics: Legal Issues, Research Practice, Quality Management, Digital Applications, Business Strategy, Geographical Context, Governance
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