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Advancements in digital technologies have provided significant opportunities to improve the Architecture, Engineering, Construction and Owner-operated (AECO) sector’s performance through superior data management, streamlined processes and cooperative working practices. However, whilst academic literature widely espouses these benefits during the design and construction phases of development, research suggests that the operational phase of a building’s lifecycle has yet to fully realise performance improvements available through the application of digital modelling technology. The purpose of this paper is to synthesise extant digital modelling, asset management and emergent digital asset management literature, to report upon the beneficial implications of digitalised asset management and identify obstacles hampering its adoption in industry.

A componential synthesis of future work reported upon in extant literature is organised into thematic categories that indicate potential research avenues and a trajectory for digital asset management research and practice.

Themes identified include: imprecise Building Information Modelling definitions; isolated software development; data interoperability; intellectual property and virtual property rights; and skills and training requirements. Notably, increased environmental performance also arose as a theme requiring further research but received considerably less academic coverage than the other obstacles identified.

The work presents a comprehensive review of digital technologies utilised within the AECO sector and as such provides utility to researchers, policy makers and practitioners to enhance their knowledge capabilities.

This paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.

An interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.

The extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.

The decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.

Several constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.

The research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.

Prompt and effective responses to incompatibilities between as-designed and as-built drawings prevent cost and time overruns and material waste. This paper aims to provide an efficient framework to handle mismatches between these two models with the least negative impact on the whole project.

First, 11 most frequent mismatches were identified through questionnaires. Also, the respondents were asked to determine the mismatches’ roots and solutions and the impact of applying solutions on the whole project. Afterward, the process to present the optimum solution to one of these mismatches was modeled. After running the application programming interface developed in Navisworks software, decision-makers access a form, showing mismatches, their causes and solutions, as well as the solutions’ effect. To finalize the optimal solution, a platform was provided on whether to accept the system solution or to propose an alternative.

To empirically validate the reliability of the proposed framework, two projects were investigated. Two different approaches to dealing with the same mismatch occurred in these projects were compared in terms of time, cost and material required. The results showed that addressing the mismatches through the proposed framework can efficiently enhance time, cost and material consumption, in comparison with the traditional approach.

There is currently no building information modeling-based holistic framework for managing mismatches between as-designed and as-built drawings. The results of this research can help contractors to make the best decision, saving project resources, when setting about a mismatch during construction.

This paper aims to propose an integrated framework for digital project-driven supply chains (PDSC) to address multiple objectives in Architecture, Engineering, Construction and, Operations and Maintenance (AECO) value chain. Additionally, the following sub-objectives were also to be addressed: to assess emerging themes of Fourth Industrial Revolution (4IR) technologies in AECO and to identify lacunae in existing project supply chains.

The research relies on qualitative approaches and mixed methodologies, for building theories based on domain expert interviews and questionnaire surveys administered on industry professionals. Hypothesis testing has been used to analyze data and identify significant 4IR technology applications and evolve a PDSC framework to address multiple objectives in the AECO context.

4IR technologies can completely revolutionize AECO supply chains and catapult the discipline into a completely new paradigm. The immense computing power unleashed can contribute to enhancing effectiveness in delivery. Technologies such as the Internet of Things, Internet of Services, Cloud Computing, Big Data, Smart Factory, 3 D-Printing, Cyber-Physical Systems or Embedded Systems, Augmented Reality, Virtual Reality and Robotics hold immense future potential. The study proposes an integrated framework to address the multiple objectives of improved project delivery, increased productivity and cost savings, activity monitoring, reporting and agility, better workflow processes and reduction of wastage.

The study offers ideas for complete integration of the AECO supply chain to deliver value to end customers. It, however, relies on opinions, perspectives and recollections of respondents, which is its limitation. Their opinion is expected to be influenced by their domain and project expertise.

In today’s global environment, information and data management is a meaningful intermediary in 4IR. It can be delivered with the aid of the cloud to collect, appraise and evaluate data efficiently; faster machine operations to manufacture quality goods at a lower cost; boost productivity; and competitiveness in AECO companies. Appropriate exchange of information and knowledge transfer will lead to innovation, effective communication in terms of frequency and quality of information; willingness to share information to improve overall performance; commitment to a common goal and mutual support; and continuous innovative effort.

This paper suggests fresh perspectives to integrated digital project-driven supply chains propelled by 4IR technologies, with a purpose to deliver multiple project objectives and end-customer value addition.

The Fourth Industrial Revolution (4IR) holds the potential to improve capabilities- and technology-based innovation, which will enable breakout for architectural, engineering, construction and operation and maintenance (AECO) companies, for international competitiveness. Though the top management of such companies is convinced on the utility of the applications, they are unsure on the strategy of implementing the same. The objective of this research is to suggest a strategy framework for digital transformation of the AECO value chain.

The nascent level of research on 4IR in construction necessitated the adoption of the integrative review methodology for the study. Extensive literature review of research on strategy and 4IR has been utilized to establish the validity of the first two pillars, namely “a strategy of simple rules in a complex environment; and deployment of dynamic capabilities.” The validation of a construct for the third pillar of “confluence of change and continuity forces” has been achieved via hypothesis testing of data obtained through a questionnaire survey.

The present study has integrated three diverse ideas of strategy, named as the pillars, to facilitate sustainable digital transformation. Within the third pillar, top three continuity forces which offer resistance to change are organization culture, existing delivery processes and networks, and existing standard operating procedures. On the other hand, the leading drivers of change are needs of competitiveness; global industry trends and the advent of new technologies/innovations.

This provides a practical approach to operationalize digital transformation of the AECO at an organization level. The validation relied on opinion and perspectives of a sample frame in the Indian context, which was its limitation.

This paper suggests a strategy framework of three pillars to help address specific strategy dilemmas during implementation of digital transformation of particular organizations in AECO. The study contributes to both theory and practice by helping leaders of AECO companies, associations, policymakers and the academia to strategize transformations successfully.

Despite the technological paradigm shift presented to the architecture, engineering, construction and operations sector (AECO), the full-fledged acceptance of the building information modelling (BIM) methodology has been slower than initially anticipated. Indeed, this study aims to acknowledge the need for increasing supportive technologies enabling the use of BIM, attending to available human resources, their requirements and their tasks.

A complete case study is described, including the development process centred on design science research methodology followed by the usability assessment procedure validated by construction projects facility management operational staff.

Results show that participants could interact with BIM using openBIM processes and file formats naturally, as most participants reached an efficiency level close to that expected for users already familiar with the interface (i.e. high-efficiency values). These results are consistent with the reported perceived satisfaction and analysis of participants’ discourses through 62 semi-structured interviews.

The contributions of the present study are twofold: a proposal for a virtual reality openBIM framework is presented, particularly for the semantic enrichment of BIM models, and a methodology for evaluating the usability of this type of system in the AECO sector.

Conscious of the benefits building information modeling (BIM) has brought about to the architecture, engineering, construction and operations (AECO) industry, the Chinese government has been driving BIM adoption. Nonetheless, its acceptance and proliferation in China remain stagnant. Most relevant literature focuses on BIM diffusion at the industry and organizational levels, but the impact of non-managerial practitioners executing BIM or the traditional drafting approach in day-to-day work tends to be disregarded. This study aims to extend theoretical models pertaining to technology acceptance to understand non-managerial practitioners’ perceptions toward working with BIM in China.

A new BIM acceptance model was proposed based on previous technology acceptance theories. After a pilot study, a survey was conducted with 153 non-managerial practitioners in the Chinese AECO industry.

Among factors impacting non-managerial practitioners’ BIM acceptance in China, performance expectancy and task-technology fit significantly and positively influence behavioral intention to accept BIM, while the impacts from effort expectancy, social influence and facilitating conditions are not essential.

Management strategies, such as improving non-managerial staff’s benefits and sense of BIM usefulness, selecting suitable tools to match with the staff’s tasks and promoting a middle-out approach in parallel with top-down interventions, are proposed for Chinese AECO organizations to enhance BIM acceptance.

Few studies have explored BIM acceptance from the perspective of non-managerial users in the Chinese AECO industry, especially using the theories related to technology acceptance. The BIM acceptance model developed in this study is different from those used in previous global studies in terms of influencing factors.

The purpose of this study is to identify, classify and prioritize the benefits, challenges and risks for the integrated use of building information modeling (BIM), radio frequency identification (RFID) and wireless sensor network (WSN) in the architecture, engineering, construction and operation (AECO) industry.

This study relies on the mixed method approach which consists of systematic literature review, semistructured interviews and Delphi technique. A systematic literature review was performed and face-to-face semistructured interviews with seven subject matter experts (SMEs) were conducted for identification and classification purposes. Delphi method was applied in two structured rounds with eleven SMEs for prioritization purpose. These three research techniques were chosen to reach the most accurate data by combining different perspectives on the subject matter. Data gathered by these three methods was triangulated to increase the validity and reliability of this research.

Thirteen benefits, ten challenges and four risks for the integrated use of BIM, RFID and WSN were identified. The results could aid the practitioners and researchers comprehend the pros and cons of this integration by representing SMEs’ valuable insights and perspectives about the current and future status, trends, limitations and requirements of the AECO industry. The identified risks and challenges show the requirements for future studies while the benefits demonstrate the capabilities and the potential contributions of this hybrid integration to the AECO industry.

The integration of BIM, RFID and WSN is still not commonly implemented in the AECO industry. Some studies focused on this topic; however, none of them reveals the benefits, risks and challenges for integrating BIM, RFID and WSN in a holistic manner. This research makes a significant contribution to the AECO literature and industry by uncovering the benefits, challenges and risks for the integrated use of BIM, RFID and WSN that could increase industry applications.

Digital twins provide enormous opportunities for smart buildings. However, an up-to-date intellectual landscape to understand and identify the major opportunities of digital twins for smart buildings is still not enough. This study, therefore, performs an up-to-date comprehensive literature review to identify the major opportunities of digital twins for smart buildings.

Scientometric and content analysis are utilised to comprehensively evaluate the intellectual landscape of the general knowledge of digital twins for smart buildings.

The study uncovered 24 opportunities that were further categorised into four major opportunities: efficient building performance (smart “building” environment), efficient building process (smart construction site environment), information efficiency and effective user interactions. The study further identified the limitations of the existing studies and made recommendations for future research in the methodology adopted and the research domain. Five research domains were considered for future research, namely “real-time data acquisition, processing and storage”, “security and privacy issues”, “standardised and domain modelling”, “collaboration between the building industry and the digital twin developers” and “skilled workforce to enable a seamless transition from theory to practice”.

All stakeholders, including practitioners, policymakers and researchers in the field of “architecture, engineering, construction and operations” (AECO), may benefit from the findings of this study by gaining an in-depth understanding of the opportunities of digital twins and their implementation in smart buildings in the AECO industry. The limitations and the possible research directions may serve as guidelines for streamlining the practical adoption and implementation of digital twins for smart buildings.

This study adopted scientometric and content analysis to comprehensively assess the intellectual landscape of relevant literature and identify four major opportunities of digital twins for smart building, to which scholars have given limited attention. Finally, a research direction framework is presented to address the identified limitations of existing studies and help envision the ideal state of digital twins for smart buildings.

The purpose of this paper is to systematically analyse how building information modelling (BIM) transforms complex infrastructure settings (i.e. airports) around digital technologies by enhancing connectivity and collaboration between major stakeholders and construction technology solutions. The objectives include understanding each project party's perspective for BIM implementation to align their motivations and connectivity along project's supply chain network and how BIM drives construction technology ecosystem uses for a more integrative and collaborative project delivery.

The study adopts qualitative data collection and analysis methods comprising semi-structured interviews, thematic analysis and an explanatory case study of a large-hub airport project.

The study findings show that enabling BIM implementation leads to streamlining construction technology ecosystem uses that increase connectivity within project parties' processes. Airports – as hosting high-value assets – can fast realize value of synergistic activities throughout project delivery by harnessing significant amount of siloed data created by each major party.

The study provides a structured analysis of how complex project settings leverage construction technology uses through their core BIM processes by highlighting multi-party approaches from an ecosystem perspective. This study also contributes to the body of knowledge and practice by presenting a transferrable and scalable approach for leveraging connected construction technology in a large-scale project involving fragmented processes managed by a large number of stakeholders.