The business value of BIM for asset owners : a cross case analysis

Purpose – The purpose of this paper is to investigate and identify the activity systems that drive Building Information Modelling (BIM) business value in Asset Management (AM). The utilisation of BIM has widened in scope, functionality, flexibility and interoperability to support the AM business process. However, research concerning BIM business value in AM has been inadequate despite its considerable potential and significance in the attainment of organisational objectives. The realisation of BIM business value requires a concerted effort by the asset owner to be able to determine and appraise the critical activities that drive business value in AM. Design/methodology/approach – The study adopted a qualitative research approach based on a multi-case study strategy that aimed to identify the key business processes that drive BIM business value in AM. The study involved a three-stage research design using interviews and document analysis to facilitate a cross-case analysis from the perspective of the activity systems and dimensions of BIM governance. Findings – The paper identified six critical activity systems that drive BIM business value for an asset owner: BIM strategy, contract management, lifecycle management, maintenance management, work-order management and value realisation management. The study found that the most developed activity system is the BIM strategy, and the least is value realisation management across all cases. Also, the paper points out that the most proficient BIM governance dimension is Process, and the least is People across the three cases. The study noted that the ability of an asset owner to realise BIM business value has maturity undertones and that the asset owner could derive BIM business value, if the six activity systems are effectively executed and continuously improved to an advanced stage of maturity. Originality – An original contribution of the study is the development of the understanding of asset owners in relation to the discovery of key activity systems that drive BIM business value in AM. Another significant contribution of this paper is the demonstration of a novel approach to evaluate organisational maturity of asset owners from the perspectives of the activity systems and BIM governance dimensions of people, process and technology

BIM business value for asset owners : key issues and challenges

There is a need to develop the understanding of asset owners concerning the constraints of building information modelling (BIM) implementation, and its subsequent value realisation activities in asset management (AM) cannot be overstated. This is because the life cycle cost of a built asset is three times more than construction costs and five times more than the initial investment outlays. Hence, this paper investigated and identified the key issues and challenges of realising BIM business value in AM. The study adopted an explorative and deductive approach. A qualitative four-stage research design strategy was adopted using 10 semi-structured interviews and document analysis to collect data. These were analysed through qualitative thematic analysis. The study identified 15 key barriers and classified them from the perspective BIM governance dimensions, namely people, process and technology. Furthermore, the study identified that more process-based challenges are experienced than people or technology. Of the identified challenges, three are people-related, eight are process-related and four are technology-related. The analysed results focussed on the development of the understanding of asset owners, policymakers and researchers regarding the complex challenges that hinder BIM utilisation and value realisation in AM. The findings of this paper support progress towards enhanced BIM adoption in the architecture, engineering and construction (AEC) industry by highlighting the significance of the identified challenges, their nature (people-, processor technology-based) and the resultant effect on BIM business value realisation during asset operations. The original contribution of this study was the exploration and identification of the current challenges experienced by asset owners in implementing BIM during asset operations and how these affect the derivation of BIM business value

Business value of integrated BIM-based asset management

Currently, building information modelling (BIM) is largely seen as a 3D model, not as an information model or information management tool. This wrong perception of BIM and low interest in 3D asset management (AM) is one of the major reasons for the slow adoption by clients in the architectural, engineering and construction (AEC) industry. The purpose of this paper is to identify the techniques and strategies of streamlining AM systems for BIM-based integration, and how the information is captured from physical assets towards BIM-based integration for clients to derive value from BIM investments. A qualitative case study strategy was used to study the strategic implementation process of integrating BIM with AM systems and the business value of BIM in AM by a large asset owner in the UK. The paper identifies key strategies in the adoption of BIM-based processes by an asset owner, the implementation process, the challenges and the benefits attained. Several barriers were identified as the challenges of adopting BIM-based processes in AM: complexity and cost associated with BIM; irrelevance of 3D geometric data in AM processes; nature of asset ownership structure; managing the asset handover process; managing change within the organisation. Organisations will have to consider the following issues in streaming asset information with BIM: the development for a clear strategy prior to adoption; connecting the strategy to the business goals; and conducting the discovery exercise to identify organisational information needs. The research addresses a significant gap in the development of techniques and strategies for asset owners to streamline BIM with AM systems and derive business value from such integration. The research context is a case study involving a large owner-operator in the UK that has been able to derive value from BIM systems in their AM processes. The key value of the paper is improving asset owners’ understanding of BIM in AM by demonstrating the implementation strategies, linkage to organisational objectives, challenges, value management process and business value of BIM in AM. Another contribution of the paper is improving the understanding of BIM, which is usually viewed as 3D models and that 3D geometric data do not have much value for AM tasks

Reviews and Perspectives on Smart and Sustainable Metropolitan and Regional Cities

The notion of smart and sustainable cities offers an integrated and holistic approach to urbanism by aiming to achieve the long-term goals of urban sustainability and resilience. In essence, a smart and sustainable city is an urban locality that functions as a robust system of systems with sustainable practices to generate desired outcomes and futures for all humans and non-humans. This book contributes to improving research and practice in smart and sustainable metropolitan as well as regional cities and urbanism by bringing together literature reviews and scholarly perspective pieces, forming an open access knowledge warehouse. It contains contributions that offer insights into research and practice in smart and sustainable metropolitan and regional cities by producing in-depth conceptual debates and perspectives, insights from the literature and best practice, and thoroughly identified research themes and development trends. This book serves as a repository of relevant information, material, and knowledge to support research, policymaking, practice, and the transferability of experiences to address challenges in establishing smart and sustainable metropolitan as well as regional cities and urbanism in the era of climate change, biodiversity collapse, natural disasters, pandemics, and socioeconomic inequalities

Towards Modelling Data Infrastructures in the Asset Management Domain

More and more asset management organizations are relying on trusted data to drive their decision making process. Yet little systematic research has been performed regarding the generation of trusted data. Trusted data has a clear, defined and consistent quality which meets the expectations of the user. The aim of the research presented in this paper is to develop a conceptual model to support asset management organizations with regards to their development of data infrastructures which produce trusted data and provide organizations with the capability to make the right decisions at the right time. The autonomous characteristics of agent-based systems and process orientation of discrete-event simulation are combined in our conceptual model. In this way both the autonomous social behavior of organizations and their business processes can be modelled. Several predefined components containing the behavior of agents through various coordination mechanisms have been developed. These components can be further customized to model an empirical situation more closely. The approach is illustrated with a case study in the asset management domain.Information and Communication TechnologyEnergy & Industr