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The current understanding of building information modelling (BIM) adoption often neglects the industry context in which BIM is deployed. This is particularly problematic when policymakers are planning to enact top-down policies to promote BIM adoption in public-funded construction. Therefore, the aim of this study is to establish the industry-level factors that constraint or enable actors' intention to adopt BIM.

Using institutional theory with an emphasis on the cultural-cognitive elements, the authors aim to complement the understanding of BIM adoption by incorporating institutional elements into the unified theory of acceptance and use of technology (UTAUT). The cultural-cognitive elements were extracted from focus groups and interviews with architecture, construction and engineering (AEC) professionals in Peru. A modified UTAUT was empirically tested using confirmatory factor analysis (CFA) and structural equation modelling (SEM) with a dataset from 171 questionnaire responses.

The industry characteristics, standardisation, affordability and technology/methodology definition of BIM were found to be the cultural-cognitive elements having direct effects on individual reactions to BIM. These findings suggest that BIM adoption policies should focus on designing incentives schemes, training/educating professionals on BIM collaborative processes and developing/adapting applicable standards. However, a BIM adoption mandate would require policymakers to create collaborative procurement environments in tandem with information management and process standards.

Findings can be used by policymakers to significantly promote BIM adoption in contexts without a government mandate for public sector construction.

The study of institutional elements on BIM adoption is still limited. This study provides empirical evidence on how the cultural-cognitive elements of the industry context are associated with actors' intention to adopt BIM. Therefore, this study bridges industry and individual levels of analysis. Furthermore, this study enables policymakers to initiate actions that significantly encourage BIM adoption.

The purpose of this paper is to investigate in-depth the current approach of managing client requirements in construction and to highlight the significant factors, which contribute to the complexity of managing the requirements in order to define a better approach.

A case study of a leading international global built asset and engineering consultancy organization was conducted over two years. The case study was conducted principally using semi-participant observations supplemented with other qualitative data collection methods (i.e. interviews, questionnaires and document analysis). Thematic analysis was used to analyze the data.

The results highlight major factors associated with the complexity of managing client requirements information, which include: mechanisms for documentation, storage and access, distribution of requirements information between stakeholders and across lifecycle phases of a project, traceability management and the provision of effective change management incorporating dependency checking and impact analysis.

The main limitation of the research is the use of an in-depth study of a single organization, which applied the same project management method across all the projects they managed. Further work is planned to develop the proposed framework fully, and develop a software platform to operationalize and evaluate its industrial applicability with construction projects.

The implications of this research is that a better approach to managing requirements information is needed, which will facilitate the design, construction and operations of buildings within budget and time. An integrated framework and an associated tool are suggested to implement the approach.

This study identifies major research gaps and problems in the architecture, engineering, construction and facilities management industry; proposes and presents Electronic Requirements Information Management framework to facilitate lifecycle management of the requirements.

The purpose of this paper is to provide a pragmatic definition of architectural management (AM) derived from systematic research.

A triangulated approach to data collection was employed, comprising a number of sequential stages. First, a literature review was carried out to analyse the previous attempts to define the term. Then, a preliminary survey was conducted (online questionnaire) to capture the current interpretations of the term. After that, a new definition was formulated based on analysing and synthesising the collected data. The fourth stage was focused on examining the consistency of the new definition through the perspectives of architectural researchers and practitioners. The final stage was refining the definition based on the feedback.

After following a pragmatic approach for constructing a new definition of AM; and based on the results of the several testing stages, it was found that AM is associated with the strategic management of the architectural office and its individual projects; and it is responsible for value design and delivery for its adopter and for the different types of stakeholders.

Although there was some quantitative testing in addition to the qualitative data the response rate was low in terms of the population of UK architectural practices.

The outcome is the first definition of AM grounded in research. The research is unique in terms of reviewing the scope and limitations of the previous definitions of AM. Based on the research findings, the new definition of AM was found to offer an accepted description of AM that can be used by both researchers, educators and practising architects. The definition provides a common understanding (vocabulary) for those working in the area of AM.

The re-use of good design solutions is a key source of evidence and knowledge in the design of healthcare buildings. However, due to the unique nature of healthcare built environments, the critical application of this evidence is of paramount importance. The purpose of this paper is to investigate the features of such critical application and identify the aspects that need to be considered during the re-use of good designs.

Data from three case studies of hospital designs in the UK were used to explore the processes behind the adaption and re-use of design solutions during the design of healthcare buildings. Data were thematically analysed to distinguish the aspects that should be carefully compared and contrasted during design re-use.

Existing designs of healthcare buildings should be captured and evaluated along with: patient demographics, care models of the hospital, other local departmental needs and facility operational aspects in order to ensure the effectiveness of re-use. In addition, properly introducing the design to the users is also a part of successful design re-use.

The findings of this research were integrated into a framework to support healthcare designers on the effective re-use of good designs. This data-driven framework could be validated further with design practitioners. Further, this research relied on memory recall of the interviewees and the accuracy and completeness of documentary records.

This research provides details of how healthcare built environment designs are embedded in project-unique circumstances. The results could therefore be used to develop meaningful and informative evaluation mechanisms for new and re-used healthcare building design features.

This research extends the understanding of the critical application of healthcare design evidence, by explaining how healthcare design solutions should be evaluated during the design process.

The following bibliography focuses mainly on programs which can run on IBM microcomputers and compatibles under the operating system PC DOS/MS DOS, and which can be used in online information and documentation work. They fall into the following categories:

Meaning-centered education situates meaning at the center of teaching and learning (Kovbasyuk & Blessinger, 2013). By incorporating learning objectives from additional learning domains – namely the affective domain – meaning-centered learning should enhance students’ personal and professional identities, as they reinforce existing knowledge through the continuous conscious acquisition of knowledge across learning domains. For this study, instructors integrated the human resource development (HRD) constructs of Level 1 and Level 2 evaluations into an online doctoral strategic planning course to achieve three goals: (A) increase student engagement, (B) assess affective domain learning outcomes, and (C) practice innovative teaching to reinforce creative meaning-centered learning. Infusing an online curriculum with affective learning domain outcomes and weekly formative assessment activities allowed instructors to monitor and address affective attributes. Results suggest that the implementation of Level 1 and Level 2 evaluations as weekly formative assessments increased student engagement. Extended analysis promoted a deeper understanding of the roles that emotions and attitudes play in online learning. Affective learning outcomes were attained as these additional weekly exercises promoted meaning-centered collaboration with students while decreasing the power-related distance between learners and instructors.

The purpose of this paper is to propose a new model to show how continuous joint learning of participant organisations improves project performance. Performance heterogeneity between collaborative infrastructure projects is typically examined by considering procurement systems and their governance mechanisms at static points in time. The literature neglects to consider the impact of dynamic learning capability, which is thought to reconfigure governance mechanisms over time in response to evolving market conditions.

There are two stages of conceptual development. In the first stage, the management literature is analysed to explain the standard model of dynamic learning capability that emphasises three learning phases for organisations. This standard model is extended to derive a novel circular model of dynamic learning capability that shows a new feedback loop between performance and learning. In the second stage, the construction management literature is consulted, adding project lifecycle, stakeholder diversity and three organisational levels to the analysis to arrive at the collaborative model of dynamic learning capability.

The collaborative model should enable construction organisations to successfully adapt and perform under changing market conditions. The complexity of learning cycles result in capabilities that are imperfectly imitable between organisations, explaining performance heterogeneity on projects.

The collaborative model provides a theoretically substantiated description of project performance, driven by the evolution of procurement systems and governance mechanisms. The model’s empirical value will be tested in future research.

Knowledge management presents a problem for the architecture, engineering and construction (AEC) industry, largely because of the industry’s fragmented structure and project-driven nature. Construction companies may be involved in a variety of projects in different locations, each having its own knowledge requirements. Companies are also expected to be competitive, flexible and innovative, but introducing new knowledge management systems (KMSs) may represent a change that is beyond the organisation’s capacity to undergo successfully, and thus becomes a “nightmare”. The purpose of this paper is to propose and test a KMS solution that can help to facilitate the capture and application of important knowledge without introducing unnecessary changes in internal procedures for the organisation.

Following a review of existing systems, and an interview survey of 22 managers in the Portuguese AEC industry (contractors, design consultants and project management consultants) a new IT-based construction KMS called ConstruKnowledge was developed. The KMS was tested, verified and validated in two Portuguese construction projects and assessed by 12 managers in the construction company undertaking those projects.

The results of two pilot tests using ConstruKnowledge in two Portuguese construction projects demonstrate that its use can raise the levels of confidence in decision-making, and retaining knowledge; and that it serves to add value to the company.

The Construknowledge KMS is an innovative contribution to the greater acceptance of KMSs in the construction industry. The system facilitates the effective and efficient development of an organisational KMS using basic Information and Communications Technology (ICT)-based collaboration tools. While undertaken in the context of the Portuguese industry, the KMS has a wider global potential for implementation and further development.

The originality and value of this research are that it demonstrates how a KMS can be developed and then used in a construction company to capture and share knowledge without introducing additional constraints.

In recent decades, interest in digital transformation (DX) within the architecture, engineering, and construction (AEC) industry has significantly increased. Despite the existence of several literature reviews on DX research, there remains a notable lack of systematic quantitative and visual investigations into the structure and evolution of this field. This study aims to address this gap by uncovering the current state, key topics, keywords, and emerging areas in DX research specific to the AEC sector.

Employing a holistic review approach, this study undertook a thorough and systematic analysis of the literature concerning DX in the AEC industry. Utilizing a bibliometric analysis, 3,656 papers were retrieved from the Web of Science spanning the years 1990–2023. A scientometric analysis was then applied to these publications to discern patterns in publication years, geographical distribution, journals, authors, citations, and keywords.

The findings identify China, the USA, and England as the leading contributors in the field of DX in AEC sector. Prominent keywords include “building information modeling”, “design”, “system”, “framework”, “adoption”, “model”, “safety”, “internet of things”, and “innovation”. Emerging areas of interest are “deep learning”, “embodied energy”, and “machine learning”. A cluster analysis of keywords reveals key research themes such as “deep learning”, “smart buildings”, “virtual reality”, “augmented reality”, “smart contracts”, “sustainable development”, “building information modeling”, “big data”, and “3D printing”.

This study is among the earliest to provide a comprehensive scientometric mapping of the DX field. The findings presented here have significant implications for both industry practitioners and the scientific community, offering a thorough overview of the current state, prominent keywords, topics, and emerging areas within DX in the AEC industry. Additionally, this research serves as an invaluable reference and guideline for scholars interested in this subject.

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.