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This paper assesses the awareness and use of information and communication technologies (ICT) systems within the Turkish construction industry. The findings will assist in identifying the future directions and priorities for how to use ICT as an enabler in this country. The research has been carried out via 22 semi‐structured interviews with senior construction professionals within government and private organizations. It investigated the usage and applicability of current information systems and technologies. The interviews then explored the appropriateness of some of the newly emerging technologies to the industry in Turkey. The findings are reported under three categories of: ICT infrastructures and strategies, the use of information systems, and views on emerging technologies. The last item has been expanded and discussed in more detail, in the paper.

Urban renewal is a multifaceted activity that involves numerous actors, software, and types of data. Design communication tools play an important role in this process. Visual information helps to outline, understand, and choose sustainable solutions for problems in the design, while visual tools should be able to diminish professional differences and establish a common language. Recent 3D geo-technologies offer a great variety of new tools that significantly enrich visualisation possibilities and allow for flexible switching between different 3D representations. However, studies have indicated that particular representations create different perceptions in professional compared to non-professional individuals. This paper discusses the specifics of urban renewal processes in the Netherlands and investigates recently developed 3D geo-information technology, and more specifically multiple 3D representations, that can support this task. The concept of LOD, which uses five levels of information, was evaluated as a very promising approach to agree on abstractions and representations in the different renewal phases. The study did not reveal a lack of digital possibilities for visualisation, but instead showed that the simultaneous visualisation of the proposed alternatives should be a priority. This investigation did reveal that different levels of interactivity could be used for the presentation and communication of project alternatives.

Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

This paper aims to present a new perspective regarding how newly emerging ICT may have an impact on Building Information Modelling and Management (BIM‐M); specifically, towards enabling the next generation of (full state) BIMs.

The paper presents a literature and technology review, and articulates a novel vision for the future of BIM. It starts with exploring how ICT has had an impact on shaping and modernising the sector, compared to the “traditional”, “archaic” and “draconian” heritage. The paper elaborates on the current interpretation of BIM‐M and emerging technologies that may change this interpretation from a semantic model to a full state digital building model evolving through the lifecycle of a building.

The vision presented in this paper underlines the focus that BIM‐M is now becoming broader, as the information management paradigm shifts from enabling model‐based management of shared building information, which provides meaningful data about a building in a standardised way (i.e. BIM 1.0), to enable an integrated environment of distributed information which is always up to date and open for derivation of new information (i.e. BIM 2.0). Technologies such as cloud computing, sensor networks, stateless web services and semantic web are presented as the new facilitators of this paradigm shift.

This paper provides value by stipulating a new vision (i.e. BIM 2.0) for BIM‐M and BIM (in particular) in light of emerging technologies such as cloud computing, sensor networks and semantic webs.

The purpose of this paper is to present a review of research developments on the ecosystem of driving forces for electronic procurement (e-procurement) on project procurement and to propose directions for future research for an effective adoption and sustained usage.

A systematic literature review was conducted in three phases to identify and examine literature. A total of 68 papers were retrieved and were thoroughly reviewed to identify the drivers for e-procurement.

A total of 61 drivers were identified and subsequently developed into a categorization framework for synthesized understanding which reveals existing interrelationships. Although literature has consensus on some selected drivers, few studies have identified drivers relating to sustainability. Gaps were identified from the existing literature and directions for future research were proposed.

Since this is a literature review, future research could conduct further investigations focusing on the research gaps identified. The framework developed presents a basis for further research to explore the drivers in various socio-economic environments.

This study provides valuable insights for improving the understanding of practitioners on the complex network of drivers for e-procurement. These findings stimulate discussions on benefits required for assessment in e-procurement adoption by practitioners.

This study provides the first comprehensive review of the drivers for e-procurement adoption in the construction industry, which was lacking in the existing body of knowledge.

Nowadays, designing environmentally compatible buildings with acceptable performance in terms of cost, materials, and energy efficiency is considered crucial for developing sustainable cities. This research aims to identify and rank the most influential factors in the application of Building Information Modeling (BIM) systems in the smartification of green and sustainable buildings.

The present research is applied and descriptive. In this study, we identified the most influential factors in the application of Building Information Modeling (BIM) systems through library studies and expert opinions. Data were collected using a questionnaire, and a combination of the one-sample t-test method with a 95% confidence level and the fuzzy VIKOR method was employed for analysis.

The results show that the most influential factors in the application of Building Information Modeling (BIM) systems in the Smartification of green and sustainable buildings, in order, are: “Energy saving and consumption reduction,” “Increased productivity and efficiency,” “Life-cycle assessment (LCA),” “Eco-friendly design,” “Integration with IoT and other technologies.”

In this study, while addressing the intersection of BIM technology, green building principles, and smart building objectives to optimize the performance of buildings during their life cycle, the most influential factors in the use of this system were ranked based on the criteria of “impact level,” “importance level,” and “availability of necessary tools” for implementation in Kerman. Moreover, solutions for more effectively utilizing this system in the smartification of green and intelligent buildings were proposed.

The purpose of this paper is to examine the mechanical properties, material composition of spent garnet as a sand replacement in high-strength concrete at room and elevated temperatures. Bonding of the concrete containing spent garnet and reinforcing rebar is investigated. Moreover, the optimum thickness of concrete cover subjected to elevated temperatures is investigated.

First, the plain spent garnet was physically, chemically and thermally studied. Then, a series of concrete specimens with 0, 20, 40, 60, 80 and 100 per cent of spent garnet were prepared to determine the optimum percentage of spent garnet. Finally, the physical and mechanical behaviours of concrete specimens and effects of cover thickness on steel rebar when subjected to elevated temperature of 200°C, 400°C, 600°C and 800°C for 1 h were studied. It was observed that spent garnet was thermally stable compared to river sand.

Mechanical properties were found to be optimal for concrete with 40% spent garnet replacement. Physically, spent garnet concrete changed colour to brown at 400°C, and to whitish grey at 600°C. The residual compressive strength of spent garnet concrete was also found slightly higher than that for control specimens. At various high temperatures, the reduction in ultimate tensile stress for steel bar inside concrete cover of 30 mm was the lowest compared to that of 20 mm.

Spalling effect it not considered in this study.

The optimum concrete cover is important issues in reinforced concrete design. This can be used as a guideline by structural designers when using a different type of concrete material in the construction.

Utilization of the waste spent garnet reduces usage of natural aggregates in concrete production and enhances its performance at elevated temperatures. Natural aggregates are normally taken from sand and rock. The new innovation in concrete perhaps can produce light concrete, reduce the cost of concrete production and at the same time also mitigates environmental problems affect from waste material such as minimizing disposal area.

Utilization of spent garnet in ordinary Portland cement (OPC) concrete at high temperature is a new innovation. It shows that the concrete cover of the concrete element reduced as compared to the OPC concrete. Reduce in weight concrete however the strength of concrete is similar to conventional concrete. This study at elevated temperature has never been performed by any previous researcher.

The purpose of this paper is to report the results of a techno-economic feasibility study on the application of Audio Visual Enterprise Resource Planning (AV-ERP). Due to rapid urbanisation and economic growth in developing countries (DCs) like India, there has been tremendous development in infrastructural projects. To maintain the quality and competitive commercial pricing of the projects, stakeholders are working together from different geographic locations. Due to lack of culture in adopting the technological advancements, the on-site construction activities lack coordination among the stakeholders.

In the present case, it is observed that the site and various stakeholders like consultants are physically monitoring and controlling the ongoing construction activity from different geographic locations. To manage the effective communication and information exchanges, an integrated tool for surveillance and AV-ERP is proposed in the present paper. These equipment and technologies play a very vital role in the construction industry, which, in turn, significantly affects the progress, cost and time of the project. The techno-economic feasibility of proposed AV-ERP system was evaluated for the ongoing township project over the study area.

For the considered case study, 75 per cent cost of the project overhead incurred for site monitoring can be saved by implementing the proposed technology of AV-ERP system.

The proposed AV-ERP system is a techno-economically viable solution for the effective project management.

In the DCs like India, to develop the culture for adopting the technological advancements (AV-ERP system) for monitoring the on-site construction activities, the presented case becomes an innovative solution for upcoming medium as well as large-scale construction projects.

The main factor that leads organizations to implement Building Information Modeling (BIM) is customer demand. While this is a frequent topic in the BIM literature, few studies address BIM organizational readiness. Due to this gap in BIM implementation literature, this paper aims to understand what affects organizational BIM readiness and how the BIM readiness process occurs.

The present paper adopts design science research as a methodological approach. A literature review examined 69 journal articles. The analysis focused on multiple theories, such as organizational readiness for change, adoption and diffusion of innovations and project management.

By investigating BIM organizational readiness, this study presents a construct and a conceptual model for driving BIM readiness.

This study can benefit researchers and organizations. The results presented may drive further research and discussions on the topic. But it is important to state that these results must be tested on real situations.

The purpose of this paper is to present a framework for integrating construction supply chain in order to resolve the data heterogeneity and data sharing problems in the construction industry.

Standardized web service technology is used in the proposed framework for data specification, transfer, and integration. Open standard SAWSDL is used to annotate web service descriptions with pointers to concepts defined in ontologies. NoSQL database Cassandra is used for distributed data storage among construction supply chain stakeholders.

Ontology can be used to support heterogeneous data transfer and integration through web services. Distributed data storage facilitates data sharing and enhances data control.

This paper presents examples of two ontologies for expressing construction supply chain information – ontology for material and ontology for purchase order. An example scenario is presented to demonstrate the proposed web service framework for material procurement process involving three parties, namely, project manager, contractor, and material supplier.

The use of web services is not new to construction supply chains (CSCs). However, it still faces problems in channelizing information along CSCs due to data heterogeneity. Trust issue is also a barrier to information sharing for integrating supply chains in a centralized collaboration system. In this paper, the authors present a web service framework, which facilitates storage and sharing of information on a distributed manner mediated through ontology-based web services. Security is enhanced with access control. A data model for the distributed databases is also presented for data storage and retrieval.