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This paper aims to focus on 11 digital technologies (i.e. building information modeling, artificial intelligence and machine learning, 3D scanning, sensors, robots/automation, digital twin, virtual reality, 3D printing, drones, cloud computing and self-driving vehicles) that are portrayed in future trend reports and hype curves. The study concentrates on the current usage and knowledge of digital technologies in the Swedish architecture, engineering and construction (AEC) industry to gain an insight in the possible expectations and future trajectory of these digital technologies.

The study applies an abductive approach which is based on three different types of methods. These methods are a literature and document study which focused on 11 digital technologies, two workshops with industry (13 participants) and an online survey (N = 84).

The paper contributes to a current state analysis of the Swedish AEC industry concerning digital technologies and discusses the trajectory of these technologies for the AEC industry. The paper identifies hype factors, in which the knowledge of a digital technology is related to its usage. From the hype factors, four zones that show different stages of digital technology usage and maturity in the industry are induced.

The contribution of the paper is twofold. The paper shows insight into opportunities, the current barriers, use and knowledge of digital technologies for the different actors in the AEC industry. Furthermore, the study shows that the AEC industry is behind the traditional Gartner hype curves and contributes with defining four zones for digital technologies for the Swedish AEC industry: confusion, excitement, experimentation and integration.

The purpose of the study presented is to outline an understanding of the question of who benefits from crime in the AEC industry. The perspective chosen is conceptual in nature, and therefore focusses professional roles rather than individuals and/or cases.

The methods chosen include literary studies and in-depth analysis of previous research carried out within the research project from which this publication stems. Being conceptual, it is, nevertheless, deeply grounded in practical, coordinated research.

The findings indicate that most actors would seem to profit from crime in the AEC industry. Decision-makers (owners, contractors and to a certain extent sub-contractors) seem the most likely to profit – structurally and/or individually – on such dubious activity. According to the analysis, controlling agencies – as institutions – tend to profit by rather than to suffer under such criminal activity. Blue collar workers (in particular legally employed workmen and FM-personnel) and society as a whole in general bear the burden of the costs inflicted.

There is an urgent need for a reorientation of the activity of the controlling agencies, redirecting their focus of attention from simple working on controlling worksites to addressing in-depth organisational challenges and responsibilities.

Several papers have been identified that discuss the downsides of criminal activity in the construction industry. This paper suggests how most actors – on individual level – may profit on criminal activity.

Little seems to have been published on the subject of who is to actually gain and what there is to gain from crime in the AEC industry. This paper presents a contribution to this research gap.

Integrated project delivery (IPD) and building information modeling (BIM) have been discussed as prominent collaborative concepts in recent architecture, engineering and construction (AEC) literature, thus recommended for more advanced value creation. However, they have been studied predominantly as discrete even though they are typically highly interrelated. This study aims to enhance collaboration in AEC projects by tracing recent trends in IPD and BIM literature by making sense of trends and by exploring how their interplay has been discussed and conceptualized.

This systematic literature review draws on Scopus and Web of Science as the primary databases. In total, 120 academic papers and review articles were sourced. Yet, the final sample includes 71 sources from the past decade (2011–2020), focusing on both IPD and BIM.

This study identifies 11 interrelated and overlapping themes that are indicative of trends in the recent IPD and BIM literature. This research found that among the identified themes, the clusters of sustainability, transformation and increasing the competence level of staff in the AEC industry, in addition to the concept of quality, require more extensive research in the context of IPD and BIM. Additionally, this study identifies four different approaches to the interplay of IPD and BIM, indicating an absence of scholarly consistency.

Based on the systematic analysis of the recent literature, this study indicates that IPD and BIM have several joint fundamental cornerstones. It is evident that both concepts support the implementation of each other. The success of implementing either one is strongly related to the other. Additionally, we have not found earlier systematic literature reviews that examine the interplay between IPD and BIM in the recent AEC literature.

The study purpose is to outline a conceptual starting point for an empirical analysis of the characteristic epistemic conditions of the AEC industry today – in its wide, multidisciplinary, industrial sense. This approach addresses a fundamental insight concerning adding value, notably that an actor only can add value to a project if his knowledge contribution is successfully integrated with other actors.

This study conducts a conceptual analysis of the knowledge management practises in the contemporary Norwegian AEC industry. This analysis draws on the conceptual distinction between logic-in-use and a reconstructed logic, allowing us to distinguish an important commonality between the current approaches.

Currently, a formalisation of the working principles of the Norwegian Building industry appears to be lacking in both research and practise. Most research is directed towards improving the industry’s many practical challenges. The approach suggested here is a reconstruction of certain integrative aspects of current Industry’s logic-in-use, contributing towards the development of a foundational methodology of the AEC-industry as a unified knowledge space.

Several promising studies applying new information taxonomies have already been conducted (e.g. Skatland & Lohne, 2016; Skatland et al., 2018). All these indicate that the modal aspect of building information – whether a given unit of information represents a conceived necessity or a valuable possibility – has a significant effect on the entire project organisation.

There is value potential limited by the level of integration between different knowledge traditions/agencies within a project organisation. Reconstructing the integrative aspect of current logic-in-use will provide new insights that could be applied strategically in project knowledge management.

Reports from the Norwegian police indicate that actors in the architecture, engineering and construction industry face severe competition from criminal actors. Sub-contractors working within the law struggle to be competitive compared to dubious sub-contractors. This study aims to examine (1) what the sub-contractors’ perceptions of current contracting practices are, (2) what problems they face and (3) what countermeasures can be used to improve the situation.

The research was carried out on the basis of a qualitative approach. A literature review and a document study of reports from the sub-contractors, public agencies and other relevant organisations were conducted. In addition, in-depth interviews were conducted with the management of eight sub-contractors in the Norwegian architecture, engineering and construction industry.

There is a significant difference in the perception of the reality between contractors’ management and the blue-collar workers. Management among the contractors maintain that their control systems work; however, the result from this study shows that it is easy for the sub-contractors to take advantage of loopholes or avoid the countermeasures.

This paper is limited to Norway and use only the paint industry as a case study.

This study shows that sub-contractors constitute an important source of information in the effort to prevent dubious sub-contractors as they are the actors who experience the greatest pressure and competition from them. Therefore, contractors should include the sub-contractors in the process of developing measures to prevent this misconduct.

A very little research has been carried out within this field of study in Norway.

Uncertainty management (UM) in projects has been a point of attention for researchers for many years. Research on UM has mainly been aimed at uncertainty analyses in the front-end and managing uncertainty in the construction phase. In contrast, UM components in the design phase have received less attention. This research aims to improve knowledge about the key components of UM in the design phase of large road projects.

This study adopted a literature review and case study. The literature review was used to identify relevant criteria for UM. These criteria helped to design the interview guide. Multiple case study research was conducted, and data were collected through document study and interviews with project stakeholders in two road projects. Each case's owners, contractors and consultants were interviewed individually.

The data analysis obtained helpful information on the involved parties, process and exploit tools and techniques during the design phase. Johansen's (2015) framework [(a) human and organisation, (b) process and (c) tools and techniques)] was completed and developed by identifying relevant criteria (such as risk averse or risk-taker, culture and documentation level) for each component. These criteria help to measure UM performance. The authors found that owners and contractors are major formal UM actors, not consultants. Empirical data showed the effectiveness of Web-based tools in UM.

The studied cases were Norwegian, and this study focussed on uncertainties in the project's design phase. Relevant criteria did not cover all the criteria for evaluating the performance of UM. Qualitative evaluation of criteria allows further quantitative analysis in the future.

This paper gave project owners and managers a better understanding of relevant criteria for measuring UM in the owners and managers' projects. The paper provides policy-makers with a deeper understanding of creating rigorous project criteria for UM during the design phase. This paper also provides a guideline for UM in road projects.

This research gives a holistic evaluation of UM by noticing relevant criteria and criteria's interconnection in the design phase.

This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.

Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry.

The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively.

Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy.

The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.

The purpose of this paper is to investigate the potential integration of deep learning (DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an exploratory analysis.

A mixed approach involving qualitative and quantitative analysis was applied to collect data from global industry experts via interviews, focus groups and a questionnaire survey, with an emphasis on the practicality and interoperability of DDT with decision-support capabilities for process optimization.

Based on the analysis of results, a conceptual model of the framework has been developed. The research findings validate that DL integrated DT model facilitating Construction 4.0 will incorporate cognitive abilities to detect complex and unpredictable actions and reasoning about dynamic process optimization strategies to support decision-making.

The DL integrated DT model will establish an interoperable functionality and develop typologies of models described for autonomous real-time interpretation and decision-making support of complex building systems development based on cognitive capabilities of DT.

The research explores how the technologies work collaboratively to integrate data from different environments in real-time through the interplay of the optimization and simulation during planning and construction. The framework model is a step for the next level of DT involving process automation and control towards Construction 4.0 to be implemented for different phases of the project lifecycle (design–planning–construction).

The purpose of this study is to describe latent classes explaining the innovation logic in the Finnish construction companies. Innovativeness is a driver of competitive performance and vital to the long-term success of any organisation and company.

Using finite mixture structural equation modelling (FMSEM), the authors have classified innovation logic into latent classes. The method analyses and recognises classes for companies that have similar logic in innovation activities based on the collected data.

Through FMSEM analysis, the authors have identified three latent classes that explain the innovation logic in the Finnish construction companies – LC1: the internal innovators; LC2: the non-innovation-oriented introverts; and LC3: the innovation-oriented extroverts. These three latent classes clearly capture the perceptions within the industry as well as the different characteristics and variables.

The presented latent classes explain innovation logic but is limited to analysing Finnish companies. Also, the research is quantitative by nature and does not increase the understanding in the same manner as qualitative research might capture on more specific aspects.

This paper presents starting points for construction industry companies to intensify innovation activities. It may also indicate more fundamental changes for the structure of construction industry organisations, especially by enabling innovation friendly culture.

This study describes innovation logic in Finnish construction companies through three models (LC1–LC3) by using quantitative data analysed with the FMSEM method. The fundamental innovation challenges in the Finnish construction companies are clarified via the identified latent classes.

BIM education for construction professionals has tended to lag industry developments. This investigation initiates doctoral research into the use of BIM for construction education. The purpose of this study is to gain an understanding of existing examples of BIM education, their characteristics, the challenges faced in their implementation and any clear trends to focus the doctoral research effort.

A systematic search of peer-reviewed BIM education literature was carried out. From the articles captured, 51 specific cases of BIM education were identified and analysed.

Most cases are from the USA with a more global spread from 2013. A tendency towards interdisciplinary collaboration was apparent though single discipline courses remain important. BIM software in education is dominated by Autodesk products. Most cases were found to be BIM-focused with few examples of BIM-enabled education. This was consistent with the most significant BIM education challenges that were found to relate to the skill levels of students, time and the availability of technical support.

This is an initial study. It is based on only 51 cases of BIM education, which were partially described in peer reviewed conference and journal papers available in international databases.

The investigation has shed some light on existing examples of BIM education and these are useful in designing BIM education initiatives as well as directing further research efforts.

The study offers an original perspective on global BIM education. It also represents the commencement of doctoral research.