Bin Sh Said, S A A (2020) The adoption of building information modelling in facilities management. PhD thesis, Oxford Brookes University, UK.
Abstract
Buildings have very long lifespans and decisions made before and during construction have long term consequences. Data and information in paper-based documents are no longer suitable for managing facilities manager’s task. With the late delivery of non-digital data, it is challenging for facilities managers to assess the quality of information and whether the information they need is contained in the handover data. Emerging open Building Information Modelling (BIM) standards such as Industry Foundation Classes (IFC) and Construction Operations Building information exchange (COBie) can greatly facilitate the handing over of data and information to the facilities managers in a gradual and structured way. Recent efforts to facilitate the use of COBie have been noted in the British Standards (BS 1192-4: 2014) and Publicly Available Specification (PAS 1192-3: 2014) guide to implement BIM in operation and maintenance stage. However, the adoption open BIM standards and standards guidelines among facilities managers are still low. Therefore, a better understanding on the reluctance of adoption is needed. A literature review led to a developed conceptual framework that can facilitate the adoption of open BIM standards and standards guidelines. This was used to inform the research design, data collection and analysis. The research was carried out using mixed method approach. The data collections were in-depth interviews and structured online-survey. The data was analysed using NVIVO software to facilitate qualitative analysis, descriptive statistics and correlation analysis using SPSS software. The findings were used to revise the conceptual framework. The findings identified five key information requirements for BIM-based FM. Moreover, findings of the data concluded that the behaviour intention in adoption of open BIM standards and standard guidelines among facilities managers are influence by several key factors, such as awareness of BIM, cost, classification of BIM data, interoperability, as-built model and up skilling. This research contributes to literature on the adoption open BIM standards and standards guidelines in FM. The framework is the most important outcome of this research in term of both contribution to knowledge and practice and can be used to support the adoption of open BIM standards and standards guidelines in FM. Furthermore, this study facilitates the understanding and knowledge of open BIM standards i.e. COBie and IFC and standards guidelines in FM.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Tah, J and Abanda, H |
| Uncontrolled Keywords: | building information modelling; standards; facilities manager; industry foundation classes; information modelling |
| Index terms: | information modelling, construction operation, correlation analysis, research design, mixed method, building information modelling, interoperability, statistics, industry foundation classes, survey, information exchange, literature review, lifespan, operation and maintenance, specification, open building, interview, facilities management, conceptual framework, documents, qualitative analysis, facilities manager, as-built model |
| Subjects: | statistical analysis, information systems, systems and processes, design flexibility, professional development, contractual condition, management, material degradation and durability, data analysis and analytics, data science, technical documentation, research design and methodology, mathematical modelling, data collection methods, digital design, maintenance engineering, theoretical framing, construction operations, practitioner, computational design |
| Topics: | Digital Applications, Design Practice, Contract Administration, Site Management, Business Strategy, Information Management, Construction Materials, Research Practice, Roles and Professions |
| Descriptive scope: | 4 PCEA |
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