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In the last decades, various building information modeling–life cycle assessment (BIM-LCA) integration approaches have been developed to assess the environmental impact of the built asset. However, there is a lack of consensus on the optimal BIM-LCA integration approach that provides the most accurate and efficient assessment outcomes. To compare and determine their accuracy and efficiency, this study aimed to investigate four typical BIM-LCA integration solutions, namely, conventional, parametric modeling, plug-in and industry foundation classes (IFC)-based integration.

The four integration approaches were developed and applied using the same building project. A quantitative technique for evaluating the accuracy and efficiency of BIM-LCA integration solutions was used. Four indicators for assessing the performance of BIM-LCA integration were (1) validity of LCA results, (2) accuracy of bill-of-quantity (BOQ) extraction, (3) time for developing life cycle inventories (i.e. developing time) and (4) time for calculating LCA results (i.e. calculation time).

The results show that the plug-in-based approach outperforms others in developing and calculation time, while the conventional one could derive the most accuracy in BOQ extraction and result validity. The parametric modeling approach outperforms the IFC-based method regarding BOQ extraction, developing time and calculation time. Despite this, the IFC-based approach produces LCA outcomes with approximately 1% error, proving its validity.

This paper forms one of the first studies that employ a quantitative and objective method to determine the performance of four typical BIM-LCA integration solutions and reveal the trade-offs between the accuracy and efficiency of the integration approaches. The findings provide practical references for LCA practitioners to select appropriate BIM-LCA integration approaches for evaluating the environmental impact of the built asset during the design phase.

The purpose of this paper is to theoretically broaden the knowledge-based view (KBV) by examining the significant intermediary role that inter-functional coordination (IFC) plays in acquiring new knowledge and exploiting it throughout the entire higher education institution (HEI) community for innovation generation (INNG).

Data collected from a survey of 282 lecturers purposively selected from the business schools of 20 HEIs in the Greater Accra region of Ghana was analyzed using partial least squares structural equation model to test the hypotheses proposed for the study.

The results revealed that IFC significantly predicts teamwork and strong relationships across faculties, departments and units, and has a positive effect on the generation of innovations such as improved curricula, enhanced academic instruction and quality research output. Practically, the findings advise HEI managers to invest resources and efforts at building strong relationships that facilitate collaboration, trust and interactions among varying faculties, departments and units. This will enhance inter-functional knowledge sharing in academia to sustain a competitive advantage and continued relevance.

There are limitations that must be considered when interpreting and generalizing the quantitative results of this study. Data were collected from faculty staff of 20 public and private HEIs in the Greater Accra region of Ghana. Although the majority of HEIs are clustered in this region, the results may still not be representative of all HEIs in Ghana.

Managers of HEIs are advised to commit to ensuring the management of IFC to promote knowledge sharing across faculties and departments. Managers are also advised to ensure that staff are made to be responsible for their cooperative and integrative teamwork. They are also advised to ensure that faculty and departmental goals are aligned with the overall goals of the university. Staff may also be encouraged to act as partners and not just employees through rewards, incentives and recognition packages.

Attention should be focused on creating lateral relations among faculty and department members to achieve internal social capital. They are advised to invest resources and efforts in building a culture of teamwork and connectedness through strong informal networking that facilitate collaboration between faculties and departments while cultivating a shared vision throughout the university.

The main contribution of this paper is that it theoretically extends the KBV by empirically broadening the scope of absorptive capacity (ACAP) beyond its dimensions to include the “collaborative mechanism” (IFC) through which knowledge can be holistically exploited. The paper also contributes to existing literature by examining the intermediary role played by IFC in the relationship between ACAP and INNG in the HEIs domain which has been least discussed in the ACAP literature.

Facilitating the information exchange and interoperability between stakeholders during the life-cycle of an asset can be one of the fundamental necessities for developing an enhanced information exchange framework. Such a framework can also improve the successful accomplishment of building projects. This paper aims to use Semantic Web technologies for facilitating information exchange within existing building projects.

In real-world building projects, the construction industry’s information supply chain may initiate from near scratch when new building projects are started resulting in diverse data structures represented in unstructured data sources, like Excel spreadsheets and documents. Large-scale data generated throughout a building's life-cycle requires exchanging and processing during an asset's Operation and Maintenance (O&M) phase. Building information modelling (BIM) processes and related technologies can address some of the challenges and limitations of information exchange and interoperability within new building projects. However, the use of BIM in existing and retrofit assets has been hampered by the challenges surrounding the limitations of existing technologies.

The aim of this paper is twofold. Firstly, it briefly outlines the framework previously developed for generating semantically enriched 3D retrofit models. Secondly, a framework is proposed focussing on facilitating the information exchange and interoperability for existing buildings. Semantic Web technologies and standards, such as Web Ontology Language and existing AEC domain ontologies are used to enhance and improve the proposed framework.

The proposed framework is evaluated by implementing an example application and the Resource Description Framework data produced by the previously developed framework. The proposed approach makes a valuable contribution to the asset/facilities management (AM/FM) domain. It should be of interest to various FM practices for existing assets, such as the building information/knowledge management for design, construction and O&M stages of an asset’s life-cycle.

This paper aims to investigate the impact of exploratory innovation on the quality of new product development (NPD), and how do polychronicity of the top management team (TMT) and interfunctional coordination (IFC) moderate the above relationship.

The hypotheses were tested by the survey data of 210 Chinese enterprises. Hierarchical regression analyzes were used to test the hypotheses in this research.

The results indicate that exploratory innovation facilitates NPD quality. TMT polychronicity weakens the effect of exploratory innovation on NPD quality. IFC strengthens the effect of exploratory innovation on NPD quality.

This study provides managers with insight on the relationship between exploratory innovation and NPD quality. To improve NPD quality, managers should be paying more attention to exploratory innovation. Furthermore, this study helps managers to understand how the relationship changes with the increases of TMT polychronicity and IFC.

This study highlights the value of exploratory innovation in increasing NPD quality based on the knowledge-based view. By incorporating TMT polychronicity and IFC based on the attention-based view, it offers much richer understandings of how exploratory innovation affects NPD quality.

Despite the continuous development of Building Information Modeling (BIM) standards, not all of its dimensions are supported to the same extent. This is the case of Building Automation Systems (BAS) in which the features that are limited mostly to physical setup of devices are supported. These are largely insufficient to support modeling automation scenarios. The purpose of this article is to clarify the gap in the state of the art and define the need for further developments.

This article explores the existing gap in the literature and discusses the hypothesis of extending BIM to a wider support of BA concepts. Based on an assessment of scientific and technical literature, this study elicits the information requirements of BA and performs a gap analysis with current BIM standards, such as Industry Foundation Classes (IFC).

Our findings lead us to conclude that there is a lack of completeness regarding features from BAS automation and management levels. Furthermore, it is shown that IFC is the most adequate data model to cover BAS without losing its purpose, but there is still a considerable work that needs to be addressed in future research.

BIM standards such as IFC position themselves as natural candidates for modeling and exchanging information regarding BA. However, the extent to which BIM supports automation features has never been rigorously analyzed. This article explores the existing gap in the literature and discusses the hypothesis of extending BIM to a wider support of BA concepts. Based on an assessment of scientific and technical literature, this study elicits the information requirements of BA and performs a gap analysis with current BIM standards such as IFC.

As laser scanning technology becomes readily available and affordable, there is an increasing demand of using point cloud data collected from a laser scanner to create as-built building information modeling (BIM) models for quality assessment, schedule control and energy performance within construction projects. To enhance the as-built modeling efficiency, this study explores an integrated system, called Auto-Scan-To-BIM (ASTB), with an aim to automatically generate a complete Industry Foundation Classes (IFC) model consisted of the 3D building elements for the given building based on its point cloud without requiring additional modeling tools.

ASTB has been developed with three function modules. Taking the scanned point data as input, Module 1 is built on the basis of the widely used region segmentation methodology and expanded with enhanced plane boundary line detection methods and corner recalibration algorithms. Then, Module 2 is developed with a domain knowledge-based heuristic method to analyze the features of the recognized planes, to associate them with corresponding building elements and to create BIM models. Based on the spatial relationships between these building elements, Module 3 generates a complete IFC model for the entire project compatible with any BIM software.

A case study validated the ASTB with an application with five common types of building elements (e.g. wall, floor, ceiling, window and door).

First, an integrated system, ASTB, is developed to generate a BIM model from scanned point cloud data without using additional modeling tools. Second, an enhanced plane boundary line detection method and a corner recalibration algorithm are developed in ASTB with high accuracy in obtaining the true surface planes. At last, the research contributes to develop a module, which can automatically convert the identified building elements into an IFC format based on the geometry and spatial relationships of each plan.

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.

The purpose of this paper is to review and provide recommendations to extend the current open standard data models for describing monitoring systems and circular economy precepts for built assets. Open standard data models enable robust and efficient data exchange which underpins the successful implementation of a circular economy. One of the largest opportunities to reduce the total life cycle cost of a built asset is to use the building information modelling (BIM) approach during the operational phase because it represents the largest share of the entire cost. BIM models that represent the actual conditions and performance of the constructed assets can boost the benefits of the installed monitoring systems and reduce maintenance and operational costs.

This paper presents a horizontal investigation of current BIM data models and their use for describing circular economy principles and performance monitoring of built assets. Based on the investigation, an extension to the industry foundation classes (IFC) specification, recommendations and guidelines are presented which enable to describe circular economy principles and asset monitoring using IFC.

Current open BIM data models are not sufficiently mature yet. This limits the interoperability of the BIM approach and the implementation of circular economy principles. An overarching approach to extend the current standards is necessary, which considers aspects related to not only modelling the monitoring system but also data management and analysis.

To the authors’ best knowledge, this is the first study that identifies requirements for data model standards in the context current linear economic model of making, using and disposing is growing unsustainably far beyond the finite limits of planet of a circular economy. The results of this study set the basis for the extension of current standards required to apply the circular economy precepts.

The AIC Research Group at the University of Salford has been involved in a government‐funded project that has resulted in the development of an integrated multi‐user distributed construction project database through the implementation of next‐generation Internet technology together with Product Data Technology ‐ WISPER. The objective of the project was to develop a working system capable of demonstrating the future direction of information integration with the project partners' businesses. This paper presents the development of the specification application that aims to demonstrate the potential for such technologies to enhance the specification process, enabling design elements to be specified directly from a building product database Web site.

The purpose of this article is to show the importance of joint actions and institutions for collaboration (IFCs) in the development and performance of information technology (IT) business clusters in the context of Mexico.

A review of the literature suggests the types of linkages that the clusters must develop to be successful in the context of emerging countries. Two IT clusters in the region of Puebla and Jalisco are compared to highlight the factors that differentiate successful and less successful clusters in this type of environment.

The presence of an IFC, such as the Jalisco Institute of Information Technology in Jalisco, is a determinant factor of the performance of the IT cluster there, contrary to Puebla. A model of dynamic interactions in clusters is proposed as a result of the analysis of the two cases.

Our analysis included clusters from IT industry in Mexico. It needs to be extended to more clusters, more industries and other emerging countries settings for the sake of comparison and generalization.

In the context of the relative scarcity of formal institutions in emerging country settings, the purposive collaboration of both private and public sectors in IFCs is necessary to ensure a long-standing development and performance of business clusters.

In this article, we show the specific role of institutional arrangements in cluster development and performance in emerging countries, which has seldom been investigated both theoretically and empirically.