Sun, C; Xu, H and Jiang, S (2020) Understanding the risk factors of BIM technology implementation in the construction industry: An interpretive structural modeling (ISM) approach. Engineering, Construction and Architectural Management, 27(10), pp. 3289-3308. ISSN 0969-9988
Abstract
Purpose: The purpose of this paper is to identify risk factors in building information modeling (BIM) technology application, analyze the correlation between risk factors, and find the most influential risk factors using interpretative structural model (ISM), put forward a response to targeted suggestions, and provide a reference for widespread BIM technology application. Design/methodology/approach: Literature reviews, ISM, a questionnaire survey and expert interviews were used in this paper. First, the risk factors of BIM technology application and their relationships were determined by consulting the relevant BIM literature. Second, to more intuitively reflect the relationships between risk factors, an ISM model based on expert interviews was established to structure the explanatory relationships and hierarchical relationships between factors. Finally, a questionnaire survey was conducted for relevant practitioners, and a scale was designed to evaluate the risk factors of BIM technology application to determine the risk factors that have a greater impact on implementing BIM technology. Findings: The root risk factors of BIM technology consist of unclear data ownership, incomplete standard BIM systems, lack of industry insurance, lack of BIM technicians, lack of BIM project practice experience, BIM infrastructure preparation, inconsistent thinking about BIM from project participants, changes in delivery mode and software function problems. Research limitations/implications: The risk-sharing of BIM technology and the analysis of responsibilities, rights and benefits of all parties in a BIM project can be used as future research directions to solve higher management problems. Originality/value: This paper describes the risks of BIM technology application for related researchers and provides another research train of thought for the follow-up studies.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information modeling; interpretive structural model; questionnaire survey; risk-factors |
| Index terms: | building information modelling, interpretive structural modelling, construction industry, implementation, insurance, risk factor, ownership, literature review, survey, interview, methodology, questionnaire, practitioner |
| Subjects: | practitioner, data collection methods, data analysis and analytics, contractual arrangements, economic analysis, economics, research methods, industry analysis, environmental hazards, information systems |
| Topics: | Research Practice, Business Strategy, Sustainability, Procurement, Roles and Professions, Digital Applications, 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