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Against a background context of Construction 4.0, this study aims to explore what digital leadership in construction firms is, why it is necessary and what considerations it involves. It provides a digital leadership considerations framework to aid organisational digital transformations.

To address the research question informing what digital leadership involves, an interpretivist study was conducted. Eleven purposively selected expert practitioners, including construction business leaders and company digital champions were surveyed using in-depth semi-structured interviews. This obtained insights and reflections on how construction leaders can impel digital transformations.

How construction leaders can embed the skills to drive such transformation in their firms, what the essential digital skills for construction businesses now are in Construction 4.0 and how leaders can attempt to evaluate the value of digital technology for their business practices, are all crystallised. Impacts of digital transformations on the construction workplace are also highlighted.

Because of this work, business leaders will be better equipped to lead and support further digital transformation efforts in Construction 4.0. Future research directions aid academics.

Clear definitions of digital transformation and digital leadership are provided, and a digital leadership considerations framework is provided to support firm-level digital transformations for Construction 4.0.

The overarching objective of this paper is to examine the cause–effect relationships among building and information modeling (BIM)-related risk factors and their impact on the implementation of BIM in construction projects.

This paper draws on previous research to identify and categorize BIM-related risk factors. It then develops a system dynamics (SD) model to examine the cause–effect relationships among these factors leading to issues in BIM implementation.

The proposed SD model illustrates how nine reinforcing feedback loops provide connections between four categories of risks, namely, technical, information, legal and organizational risks and, consequently, create vicious cycles that threaten the successful implementation of BIM.

This paper is among a few studies that depart from reductionism by taking a holistic approach and demonstrating how the interactions between BIM-related risk factors lead to vicious cycles that threaten the successful implementation of BIM.

The business benefits envisaged for BIM represent the main criteria for decision-making about BIM implementation – or shy away from BIM. Despite the significance, traditional evaluation techniques have difficulty to capture “the true value” of BIM from multiple levels and dimensions – as an effective evaluation method is supposed to. This study aims to identify the significant factors that affect BIM return on investment (ROI), develop an integrated model for companies and examine the influence of intangible returning factors of BIM on the rate of BIM implementation.

A cluster sampling technique was used; 92 questionnaires completed by Australian architecture, engineering and construction small- and medium-sized enterprises (SMEs) provided the basis to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI.

Applying the PLS-SEM technique, findings reveal that a lack of reliable quantification methods for the ROI factors associated with BIM significantly affects the organisation's commitments to implement BIM. In essence, the failure to adequately identify and assess these benefits could result in the system not being appropriately implemented and supported by executive sponsors, who give priority to hard and tangible ROI measurements.

The outcome of this study would be of direct appeal to policymakers, industry professionals and the academic community alike, in providing data-informed insight into the intersection between the implementation of BIM and the concept of ROI. Findings would provide a springboard for further research into using ROI factors to increase BIM implementation. Though the findings are directly applicable and contextualised for Australia, they provide lessons and offer a blueprint for similar studies in other countries and settings. That is, regardless of the context, findings raise awareness and provide a point of reference for the quantification of intangible returning factors rather than the tangible returning factors, as one of the first studies in its kind.

The study provides original insight in drawing attention to an untapped area for research in BIM implementation, namely BIM ROI. Apart from raising awareness around BIM ROI, the study is novel in providing a quantified model that establishes the links and level of impacts of various factors associated with BIM ROI. Findings of this study, particularly add value to the body of knowledge related to the business implications associated with BIM implementation in the context of Australian SMEs, while providing lessons for other countries and settings.

Digital uptake amongst construction organisations is described as slow and ineffective, undermining a fundamental transformation and limiting construction firms from exploiting the digital benefits. In this space, meaningful research that utilises a qualitative approach in pursuit for employees' insights towards digital transformation is lacking. Such limited focus from previous efforts presents an opportunity to illuminate the determinants of an effective digital transformation that are, arguably, responsible for the status quo of low digital uptake in the construction sector. This paper aims to discuss the aforementioned idea.

This study adopts a qualitative approach to address the literature's digital discreetness in construction. The qualitative approach captures employees' perspectives through its unbounded characteristic of encouraging illustration and discussion.

This paper captures 35 digital transformation determinants under three clusters, namely, organisation related, i.e. hierarchy, size and management, people related, i.e. team orientation, training and knowledge and leadership related, i.e. awareness, attitude, approach and leaders' characteristics. Findings suggest a new set of arguments in relation to understudied factors and their influence on the digital uptake in construction organisations.

This paper offers empirical indication of the determinants believed to influence an effective digital transformation in construction organisations. Such conceptualisation is crucial and is depicted as perceived by construction employees and practitioners, which is a less biased approach than that of comparable studies that argue the viewpoints of industry leaders in isolation of other members of the hierarchy.

The era of digital construction, including building information modelling (BIM), has placed a high demand for a seamless collaboration of people, technology and processes in meeting a project delivery. The project actors involved in a BIM process must ensure compliance with all regulations and contractual requirements from inception. While many studies have disclosed the various contractual implications arising from BIM implementation, little has been examined on the current state of BIM in contract administration practice, particularly in the Malaysian construction industry. This study aims to explore the current state of BIM implementation with specific reference to a design-and-build construction project.

The exploratory case study involved the construction of a public complex. Semi-structured interviews were carried out with the project actors, and document analysis was performed on the project’s contractual guidelines to derive the findings.

Findings from the thematic analysis revealed the following five sequences of activities that guided the contract administration practices, particularly during the pre-contract and post-contract stages of a BIM-based construction project: project inception, tendering phase, detailed design, construction and preparation for the handing over phase. Most of the activities were conducted to deliver the final BIM outputs successfully. Nevertheless, some shortcomings were noted in the project monitoring, the validation process of the BIM deliverables and the BIM players’ competency level in fulfilling the specified BIM contractual requirements.

The study contributes to a practical understanding of how BIM can affect project administration and how a public client can improve contractual risk allocation in future BIM implementation.

This paper discloses the current practices of contract administration to better understand the impacts of BIM management during the pre-contract and post-contract stages of a BIM-based construction project.

The aim of the article is to determine research areas and to recognize the current direction in the development of maturity models, to indicate the key areas of organizational maturity models (OMMs) development and their classification as well as to pinpoint research gaps and areas of potential development of OMMs in the context of scientific research and the needs of management practitioners.

The research was conducted using the literature review method, bibliometric analysis and visual mappings.

The empirical classification developed in this paper identified 12 categories based on management areas, constituting the criteria for classifying OMMs models, where OMMs are being developed: Information Technology, Project Management, Business Management and Strategy, Human Resource, Ergonomics, Health and Safety Management, Industry 4.0 concept, Knowledge Management, Process Management, Performance Management, Quality Management, Supply Chain Management, Risk Management and Innovation Management.

The main limitation is the analysis in the scope of topic OMMs including solely the Scopus and Thompson Reuters Web of Science database. Another shortcoming is conducting data analysis and classification based on the abstracts of the selected articles.

This work is a starting point to prospect trends for future revolving around the OMMs crossing different databases.

This study aims to develop a building renovation duration prediction model incorporating both scope and non-scope factors.

The study used a questionnaire to obtain basic information relating to identified project scope factors as well as information relating to the impact of the non-scope factors on the duration of building renovation projects. The study retrieved 121 completed questionnaires from construction firms on tertiary education trust fund (TETFund) building renovation projects. Artificial neural network was then used to develop the model using 90% of the data, while mean absolute percentage error was used to validate the model using the remaining 10% of the data.

Two artificial neural network models were developed – a multilayer perceptron (MLP) and a radial basis function (RBF) model. The accuracy of the models was 86% and 80%, respectively. The developed models’ predictions were not statistically different from those of actual duration estimates with less than 20% error margin. Also, the study found that MLP models are more accurate than RBF models.

The developed models are only applicable to projects that suit the characteristics and nature of the data used to develop the models. Hence, models can only predict the duration of building renovation projects.

The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it.

The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it; it also helps clients to effectively benchmark projects duration and contractors to accurately estimate duration at tendering stage.

The study presents models that combine both scope and non-scope factors in predicting the duration of building renovation projects so as to ensure more realistic predictions.

In this paper, a systematic review of 284 articles published between 2015 and 2022 and a full-text thematic analysis of 70 selected articles was conducted to catalog and synthesize factors in a framework. Thematic analysis subsequently revealed 18 selective codes under three groups of drivers, barriers, and outcomes. These three groups were explained by four key aspects including organization, stakeholders, infrastructure, and business environment that set a framework for the digitalization of construction. The study finally concluded digitalization strategies with a focus on support mechanisms, government incentives, regulations, the transition from manual labor to technicians, organizational technology culture, methodology development, and innovation processes. Such strategies provide insight into prioritizing resources towards smooth digital transformation in construction businesses.

A two-stage methodology is adopted by undertaking a systematic literature review followed by thematic content analysis. This work concludes with an analysis of remaining research gaps and suggestions for potential future research.

In this paper, a systematic review of 284 articles published between 2015 and 2022 and a full-text thematic analysis of 70 selected articles was conducted to catalog and synthesize variables in a framework. Thematic analysis subsequently revealed a set of variables and factors describing construction digitalization under three groups of success factors, barriers, and outcomes. A critical content analysis of the representative studies was conducted to identify five future research trends as well as associated research gaps and directions on the topic.

This study contributes to practice by providing directions concerning the key strategies and priorities associated with the digitalization of construction businesses.

This ground-breaking research brings to light a classified set of factors that are important for the digitalization of construction businesses. The elicited framework contributes to the current body of knowledge by offering a unique conceptualization of both driving and adverse aspects for the seamless digital transformation of construction.

There is a dearth of studies conducted by local academics on actual building information modelling (BIM) projects to analyse the actual hurdles of BIM adoption. The majority of BIM research focuses on the technology’s general advantages, disadvantages, issues and limitations. In addition, research on actual BIM projects that have integrated BIM throughout the project is necessary to increase the current low number of BIM users in Malaysia. Consequently, the purpose of this study is to examine the challenges BIM adopters experience while implementing BIM in their projects and how they overcome them.

An in-depth interview session was used to collect data based on a case-study methodology. In Malaysia, three BIM projects were chosen, given the available resources. To evaluate the data in this qualitative study, NVivo was used.

According to the findings, the most important elements influencing the adoption of new technology and innovation were people and capital. The most significant impediments to BIM adoption are the appraisal of time and finances, as well as the tolerance of changes in approach.

Collaborative training and BIM education have been the most explored solutions for reducing BIM difficulties. As a result, these concerns and solutions should be investigated and implemented to ensure project success and fully use technological innovation.

The increasing adoption of informatization in the architecture, engineering, and construction (AEC) industries has raised the competency requirements for AEC practitioners. However, existing research primarily focuses on the integration of emerging technologies in AEC education programs, with little attention to the development of informatization-related competencies. Therefore, this paper aims to explore the competency requirements in the information age of the AEC industry.

Taking a policy perspective, this study investigates the competency requirements within the context of AEC industry informatization. By employing a competency-based theoretical framework, content analysis is conducted on China's policy document, the Outline of the Development of Informatization in the Construction Industry.

The study identifies crucial emerging technologies in the AEC industry, such as building information modeling (BIM), Big Data, Internet of things, networking, and cloud computing, along with their application scenarios. It considers various market players, including survey and design institutes, construction companies, and general contracting enterprises. Comparative analysis reveals the technology application patterns of these market players, shedding light on their preferences and perspectives. Based on these findings, the study proposes recommendations for competency requirements in the AEC industry.

This study extends the competency-based theory to AEC education from a macro perspective. The findings enhance understanding of informatization by providing insights into the related technologies, their applications, and the market players utilizing them. Moreover, the study's results have significant implications for AEC education, particularly in the design of curriculum systems for emerging technology-related fields.