Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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.

It is widely recognised in the Architecture, Engineering and Construction (AEC) industry that asset owners do not really understand their information needs for effective BIM-based Asset Management (AM). Hence, they may be unable to develop their operational information requirements to request the right data from the design and construction phases. This paper investigates the operational information requirements of three asset owners through a comparative study. A qualitative multi-case study approach was used to collect and analyse the operational information requirements of three asset owners. A qualitative content analysis was also utilised to identify key asset information requirements and categories. The study revealed that operational information requirements are strongly related to business needs and that it is not possible to develop a rigid list of requirements for asset owners, but rather some templates to help them define their data requirements. Of a total of 172 analysed information requirements, only 7 requirements were common in all cases and 16 were common in 2 cases, which represents 4% and 9% of the total. The research addressed a significant research gap regarding the development of operational information requirements for asset owners. Moreover, the paper provides templates to help guide asset owners when defining their data requirements for asset operations in order to derive BIM business value.

Purpose: The purpose of this paper is to investigate the processes, tools and techniques of strategic asset information management (AIM) for built assets, and how the asset information content enhances the proficiency of asset managers to effectively manage their assets throughout their life cycle by utilising building information modelling (BIM) and asset management (AM) systems. For most asset managers, the problem is not the lack of information about their assets, but the abundance of it, and most especially the absence of established processes and protocols to effectively manage large sets of asset data. Therefore, it is crucial to develop a strategy to control and manage this information in order for asset managers to harness its potential and realise value from their organisation’s information assets.. Design/methodology/approach: A qualitative case study strategy was used to investigate the effective management of asset data in an AIM system. Seven sets of interviews were conducted and nine respondents were interviewed. These were analysed through qualitative thematic analysis using the NVivo software. Findings: The paper identifies six dimensions of value that BIM contributes to AM, which are: management, commerce, efficiency, industry, user and technology value. Also, the paper demonstrates that there is real value to be derived by the asset owner from the effective management of asset information. The study highlights that the value of BIM is not inherent but would require many other processes to deliver value to the organisation. Originality/value: The key value of the paper is that it identifies important techniques for managing asset data and how asset information is collected, organised, stored, controlled, analysed, secured, shared and reported within a virtual AIM system for strategic management-based decisions.

Purpose: 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.Design/methodology/approach: 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.Findings: 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.Practical implications: 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-, process- or technology-based) and the resultant effect on BIM business value realisation during asset operations.Originality/value: 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.

Universities as educational providers need to provide good academic services for students. Academic services in the 4.0 era can be provided by creating an internet-based academic system. When a university does not have an internet-based academic service system, the university cannot provide good and quality academic services. This article aims at developing and analyzing academic services at universities by using an internet-based academic service system and Enterprise Architecture (EA). An academic service system called SIMANTAP (Sistem Informasi Manajemen Akademik Terpadu/Integrated Academic Management Information System) was made to implement in the academic service system at a university. The research method used was design-based research using the stages of defining, designing, developing, and reflecting. The research was conducted at four faculties at one university in West Java Province, Indonesia, which did not have an internet-based academic service system. The results showed that the utilization of academic service systems in universities has an important role in the process of conducting academic activities both for students, lecturers, and university staff. The academic activities were greatly helped by the use of internet-based academic service system. In its implementation, all users needed to know more and get used to using it, and the system designer needs to be responsive to anticipate any weaknesses in the system so that the academic service process runs well continuously.

Retrofitting the existing housing stock to a high level of energy efficiency will not be limited to achieving the decarbonisation of 80.3 MtCO2e residential emissions and reducing fuel poverty in 4.16 million households, but also improving the health and well-being of UK residents and their overall quality of life. The current progress of housing retrofitting is poor, at less than 1%. The UK expects to achieve net zero by 2050, and the challenge is immense as there are more than 30 million houses. The challenge is similar in other global contexts. Even if the required technology, supply chain, skilled labour, and finance could have been provided, the retrofitting would not move forward without positive engagement from the clients. Proper strategies are required to retrofit at scale. Focusing on the challenges of stakeholder engagement in housing retrofitting, this study focused on developing a hybrid one-stop shop solution through design science research. A theoretical artefact and an empirical system requirement specification document were developed to propose a one-stop shop solution. This was tested through retrofit industry stakeholders. Findings reveal that the one-stop shop model will be a good answer to retrofitting at scale, providing the resident engagement of 30.1 million households. The model can support residents with or without computer literacy due to its hybrid approach. The proposed theoretical and industrial models can be used as base models for developing one-stop shops for housing retrofitting by adapting them for context-specific requirements.