Optimising the adoption of building information modelling (BIM) in facilities management (FM): A model for value enhancement

Wijekoon, K A D N C (2019) Optimising the adoption of building information modelling (BIM) in facilities management (FM): A model for value enhancement. PhD thesis, Liverpool John Moores University, UK.

Abstract

Facilities Management (FM) and Building Information Modelling (BIM) are comparatively new concepts emerged in late 20th and early 21st centuries therefore, limited in theoretical knowledge. Knowledge generation in such immature subject areas have constantly faced with the lack of theoretical groundings hence, proposals and suggestions made for efficient and effective applications are being superseded in a fast phase. In identifying this gap in knowledge, this research makes a significant contribution to the theory in Building Information Modelling and Facilities Management by studying the implications on each other by taking a multi-disciplinary perspective. There is a complex information flow in FM. The late involvement of facility managers has made this complexity more exposed. An effective information management system is considered as a significant driver for FM to enhance the capabilities of built environments in long run. However, this leaves with lack of understanding over FM needs for an information system. On the other hand, BIM is a novel method, recently introduced to the construction industry as a means of providing rich information. A growing demand for through-life BIM application in construction is identified. Although, the application of BIM in design and construction phases is commonly seen, its application in FM is seemingly poor. Multiple reasons for this situation are being suggested by the existing research however, the gap in theoretical grounding leave it vulnerable to interpretation. Therefore, this study aims to bridge the gap by developing a BIM value model for FM to present the theoretical groundings between two concepts. A qualitative multi methodology is being followed to explain the social phenomenon based on critical realist ontological and epistemological assumptions. The study is structured under three phases; the first phase is focused on a deeper understanding of the problem, the second phase – is the development of the solution and final phase is dedicated to the verification of the research output. Two rounds of interviews and focus groups were used as data collection methods while data was analysed using Constant Comparative Method staying true to the Grounded Theory research strategy. The research brings together scholarly work on FM and BIM while interrogating different value theories to develop a unique understanding on BIM acceptance in FM. Value as the main dependent variable in social science brought rich understanding of the phenomenon. The findings reveal how value is represented through barriers and benefits and possibilities of value enhancement through adopting BIM in FM. This leads to a new perspective by identifying barriers of adopting BIM as unfulfilled expectations of users therefore, act as recommendations for improvements required in BIM to help promote the best practice. Finally, the research contributes to the knowledge with a value model which represents relationships discovered during the study and a value principle abstracting the findings. This will guide the client and contractors on identifying BIM requirements and match the competencies of the supply chain to bring the best outcome.

Item Type: Thesis (Doctoral)
Thesis advisor: Manewa, A and Ross, A
Uncontrolled Keywords: best practice; bridge; building information modelling; client; complexity; facilities management; grounded theory; information management; information system; multi-disciplinary; social science
Index terms: focus group, management system, proposal, manager, interview, research output, information flow, strategy, methodology, complexity, dependent variable, information system, facilities management, knowledge generation, building information modelling, grounded theory, built environment, design and construction, social science, best practice, construction industry
Subjects: research methods, theoretical framing, project planning, knowledge management, contractual arrangements, research products and data, practitioner, statistical analysis, systems engineering, information systems, industry analysis, infrastructure and transport systems, management, business, data collection methods
Topics: Project Management, Engineering Principles, Procurement, Research Practice, Information Management, Business Strategy, Roles and Professions, Urban Studies, 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