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Each building project demands an integrated method for information and requirement management in its life cycle. The main purpose of this paper is to explore the major obstacles in integrated life cycle information management and recognize the potentials of CoClass as the new Swedish digital classification system to tackle them throughout asset life cycle.

The industry viewpoint toward the current status of asset information management considering ISO 19650-1 principles and the existing obstacles and the industry practitioners' ideas regarding CoClass capabilities and applicability were captured and analyzed. A total of 13 semistructured interviews were conducted with the AECO industry professionals to have an understanding of information requirement management. Then the results were analyzed qualitatively, using the NVivo 12 software. Different attributes of a component (heating panel) in a meeting room according to CoClass and data deviations throughout the asset life cycle were elaborated.

This study reveals some obstacles in information management process in seven categories in relation to: (1) the need to employ information exchange platforms as common data environments (CDEs) by all actors from early stages; (2) the communication issues caused by lack of utilizing common languages; (3) the costly and time-consuming implementation process; (4) the misunderstandings in terms of data communication between service providers and owners; (5) the definition and fulfillment of information requirements as well as keeping track of data deviations throughout asset life cycle; (6) the information update difficulty; and (7) the need for training practitioners dealing with new systems such as CoClass.

The research explores the major obstacles in information requirement management concerning the practical implementation of the new Swedish classification system, CoClass, supporting the asset life cycle.

Integrated project delivery (IPD) and building information modeling (BIM) has begun to be used in real estate development projects over the past decade to improve collaboration, communication and efficiency. However, the use of BIM and IPD in projects does not always imply that the information is well used and managed. This study aims to explain how information management should be carried out in BIM and IPD projects, what activities should be managed by the information manager and which stakeholder should play this role and why?

This study provides a framework on the subject by conducting a comprehensive systematic review in the field of real estate development, BIM, IPD and information management. In this context, the Web of Science and Scopus databases have been systematically reviewed, n = 45 out of a total of n = 1,356 articles and additionally, the BIM documents and standards prepared by public institutions and organizations and industry reports have been examined in detail.

The framework for information management roles was established by reviewing the literature. According to this framework, information management activities of information managers are listed in the table that covers all phases of real estate development. The owner should undertake this role as it is the entity that oversees the built asset from planning to the management of that facility.

In terms of acquiring information management roles, there is no research on BIM and IPD projects and who will take over this role. This study desired to close this gap in the literature.

The efficient application of building information modeling (BIM) methodology in the sustainable building design process, known as green BIM, provides ideal leverage to significantly enhance multidiscipline team collaboration. However, the practical execution of green BIM is characterized by issues such as duplication of work, information silos and poor cross-party coordination. Besides, there are limited studies on the specific components that are critical to driving green BIM collaborative design. This study aims to establish the critical components of green BIM collaborative design to enable the multidiscipline team to effectively use diverse software to collaboratively exchange accurate information, thus ensuring informed decision-making in the sustainable building design process.

Data were obtained by using a questionnaire to survey 360 respondents comprising mainly architects and engineers (civil, mechanical and electrical) in Malaysia. Subsequently, data were analyzed via confirmatory factor analysis. Afterward, a measurement model was established and used to test the 11 hypotheses of this study.

A covariance-based structural equation model of the critical components for successful BIM-based sustainable building design collaboration was established.

The research findings will guide the multidisciplinary team to collaboratively exchange accurate information in green BIM practices.

To the best of the authors’ knowledge, this research is the first attempt in the literature to provide a pragmatic approach for practitioners to combine the established critical components of green BIM to collaboratively exchange heterogeneous sustainability criteria and efficiently design buildings with high sustainability performance, particularly in emerging countries like Malaysia.

The purpose of this study is to identify the key data categories and characteristics defined by asset information requirements (AIR) and how this affects the development and maintenance of an asset information model (AIM) for a blockchain-based digital twin (DT).

A mixed-method approach involving qualitative and quantitative analysis was used to gather empirical data through semistructured interviews and a digital questionnaire survey with an emphasis on AIR for blockchain-based DTs from a data-driven predictive analytics perspective.

Based on the analysis of results three key data categories were identified, core data, static operation and maintenance (OM) data, and dynamic OM data, along with the data characteristics required to perform data-driven predictive analytics through artificial intelligence (AI) in a blockchain-based DT platform. The findings also include how the creation and maintenance of an AIM is affected in this context.

The key data categories and characteristics specified through AIR to support predictive data-driven analytics through AI in a blockchain-based DT will contribute to the development and maintenance of an AIM.

The research explores the process of defining, delivering and maintaining the AIM and the potential use of blockchain technology (BCT) as a facilitator for data trust, integrity and security.

This paper aims to contribute to the discussion of the following questions: How can the digital transition improve the management of the operation and maintenance of infrastructure in health-care facilities? What is the legacy for facility management (FM) teams in this post-COVID-19 management of hospital buildings?

Based on a literature review, this paper analyses and categorises existing research on the digital challenges for FM from 2011 until 2021 by conducting a qualitative and quantitative method of bibliometric analysis and discussing the status of digital transition impact on FM of the hospital buildings.

The trends and challenges of building information modelling, artificial intelligence and the Internet of Things identified and discussed in this paper aim to be as comprehensive as possible to grasp the situation of digital transition in the FM industry in the hospital buildings context. Regarding digital maturity, the limited number of publications highlights that control and management systems cannot fully manage the entire operational phase of hospital buildings. Giving intelligence to buildings will undoubtedly be the future. So making buildings reactive, interactive and immersive is an inevitable transformation for intelligent hospital building systems. Thus, the added value of digitalisation will help facility managers to overcome the issues pointed out in this paper to deal with the growing health demands and enable them to mitigate the impacts of a new and future pandemic.

The novelty of this paper is classifying and unifying facility managers' tendencies regarding high-level information management issues, which are lacking in the literature, with a focus on the approaches with potential and higher impact on FM in the hospital building context and the related steps that should be considered regarding data collection and data structures. These tendencies provide a set of new intelligent approaches and tools, which will increase the efficiency of processes, significantly impacting the potential of optimisation. Also, these trends can improve planning and management of scope, costs, environment and safety in the value chain of projects and assets, thus creating a more resilient and sustainable industry for facility managers in this post-COVID-19 management for hospital buildings.

This study aims to assess the essential elements of internal organisational capability that influence the cybersecurity effectiveness of a construction firm. An extended McKinsey 7S model is used to analyse the relationship between a construction firm's cybersecurity effectiveness and nine internal capability elements: shared values, strategy, structure, systems, staff, style, skills, relationships with third parties and regulatory compliance.

Based on a quantitative research strategy, this study collected data through a cross-sectional survey of professionals working in the construction sector in the United Kingdom (UK). The collected data was analysed using descriptive and inferential statistical methods.

The findings underlined systems, regulatory compliance, staff and third-party relationships as the most significant elements of internal organisational capability influencing a construction firm's cybersecurity effectiveness, organised in order of importance.

Future research possibilities are proposed including the extension of the proposed diagnostic model to consider additional external factors, examining it under varying industrial relationship conditions and developing a dynamic framework that helps improve cybersecurity capability levels while overseeing execution outcomes to ensure success.

The extended McKinsey 7S model can be used as a diagnostic tool to assess the organisation's internal capabilities and evaluate the effectiveness of implemented changes. This can provide specific ways for construction firms to enhance their cybersecurity effectiveness.

This study contributes to the field of cybersecurity in the construction industry by empirically assessing the effectiveness of cybersecurity in UK construction firms using an extended McKinsey 7S model. The study highlights the importance of two additional elements, third-party relationships and construction firm regulatory compliance, which were overlooked in the original McKinsey 7S model. By utilising this model, the study develops a concise research model of essential elements of internal organisational capability that influence cybersecurity effectiveness in construction firms.

This paper aims to describe the development of guidance to help clients and operational teams to clearly define information requirements for projects using building information modelling (BIM). ISO 19650 standards highlight this as a critical first step to ensure adequate information is available to optimise built assets over their whole life cycle.

A document analysis of existing BIM guidance supported by literature was undertaken to answer the research questions: “What guidance already exists specific to clients? and Would additional guidance help clients to better fulfil their role as the ‘appointing party’ in line with ISO 19650?”

A research gap was established highlighting a lack of guidance specifically aimed to help clients formulate information requirements as the appointing party. This research makes recommendations for an approach to define the requirements and support successful outcomes for BIM projects.

This paper provides a standardised approach and a starting point for an appointing party to gather and structure information requirements in line with ISO 19650.

This paper considers BIM information requirements specifically from an operations perspective with a focus on the client and facility management team.

The purpose of this paper is to analyse the current state of research on the integration of blockchain and building information modelling (BIM) in the Architecture, Engineering, Construction and Operations (AECO) industry as a means of identifying gaps between the existing paradigm and practical applications for determining future research directions and improving the industry. The study aims to provide clear guidance on areas that need attention for further research and funding and to draw academic attention to factors beyond the technical dimension.

A mixed-method systematic review is used, considering multiple literature types and using a sociotechnical perspective-based framework that covers three dimensions (technic, process and context) and three research elements (why, what and how). Data are retrieved and analysed from the Web of Science and Scopus databases for the 2017–2023 period.

While blockchain has the potential to address security, traceability and transparency and complement the system by integrating supporting applications, significant gaps still exist between these potentials and widespread industry adoption. Current limitations and further research needs are identified, including designing fully integrated prototypes, empirical research to identify operational processes, testing and analysing operational-level models or applications and developing and applying a technology acceptance model for the integration paradigm. Previous research lacks contextual settings, real-world tests or empirical investigations and is primarily conceptual.

This paper provides a comprehensive, critical systematic review of the integration of blockchain with BIM in the construction industry, using a sociotechnical perspective-based framework which can be applied in future reviews. The study provides insight into the current state and future opportunities for policymakers and practitioners in the AECO industry to prepare for the transition in this disruptive paradigm. It also provides a phased plan along with a clear direction for the transition to more advanced applications.

To foster effective implementation of building information modelling (BIM), it is guided by standards and protocols that require files naming in a format, containing a string of letters and digits in a tightly defined manner, which is perceived to be time-consuming, error-prone and serves as a barrier to BIM adoption. This paper aims to present a BIM-based plug-in solution (Auto-BIMName) that facilitates automated naming in compliance with BIM standards.

The Auto-BIMName portal has an information management system (IMS) for generating a master information delivery plan (MIDP), which serves as pre-requisites to effective file naming. Once the naming schema is implemented through text input controls for a project name, volume, level and number, the Revit plugin communicates with its IMS to fetch the name string or concatenate the string in line with the ISO 19650 convention, where the IMS is unused. The system was validated through a simulated collaborative project.

System testing and evaluation confirmed that the Auto-BIMName will ease the process of file naming, thereby facilitating collaboration efficiency, naming consistency across project teams and lifecycle stages, ease of file naming, time-saving and inducement for BIM implementation, etc. By linking information from MIDP in the BIM execution plan, the platform enhanced information management processes and improved coordination across project teams and lifecycle stages.

Apart from demonstrating how the automated naming platform enhances project performance, information management and coordination, the paper provides a practical demonstration of how the construction industry will benefit from enhanced digitalisation and process automation.