scholarly journals Scientometric analysis of BIM-based research in construction engineering and management

2019 ◽  
Vol 26 (8) ◽  
pp. 1750-1776 ◽  
Author(s):  
Ruoyu Jin ◽  
Yang Zou ◽  
Kassim Gidado ◽  
Phillip Ashton ◽  
Noel Painting
Keyword(s):  
Construction Industry ◽  
The Body ◽  
Information Modeling ◽  
Project Delivery ◽  
Scientometric Analysis ◽  
Delivery Methods ◽  
Research Directions ◽  
Content Type ◽  
Construction Engineering ◽  
Project Delivery Methods

Purpose The purpose of this paper is to summarize the latest research of BIM adoption in construction engineering and management (CEM) and propose research directions for future scholarly work. During the recent decade, building information modeling (BIM) has gained increasing applications and research interest in the construction industry. Although there have been review-based studies that summarized BIM-based research in the overall architecture, engineering and construction (AEC) area, there is limited review that evaluates the current stage of BIM-based research specifically in the CEM sub-area. Design/methodology/approach CEM falls into the scope of AEC. It involves construction-related tasks, activities and processes (e.g. scheduling and cost estimates), issues (e.g. constructability), as well as human factors (e.g. collaboration). This study adopted a holistic literature review approach that incorporates bibliometric search and scientometric analysis. A total of 276 articles related to BIM applied in CEM were selected from Scopus as the literature sample for the scientometric analysis. Findings Some key CEM research areas (e.g. CEM pedagogy, integrated project delivery, lean and off-site construction) were identified and evaluated. Research trends in these areas were identified, and analyses were carried out with regard to how they could be integrated with BIM. For example, BIM, as a data repository for ACE facilities, has substantial potential to be integrated with a variety of other digital technologies, project delivery methods and innovative construction techniques throughout the whole process of CEM. Practical implications As BIM is one of the key technologies and digital platforms to improve the construction productivity and collaboration, it is important for industry practitioners to be updated of the latest movement and progress of the academic research. The industry, academics and governmental authorities should work with joint effort to fill the gap by first recognizing the current needs, limitations and trends of applying BIM in the construction industry. For example, it needs more understanding about how to address technical interoperability issues and how to introduce the integrated design and construction delivery approach for BIM implementation under the UK BIM Level 2/3 framework. Originality/value This study contributed to the body of knowledge in BIM by proposing a framework leading to research directions including the differences of BIM effects between design-bid-build and other fast-track project delivery methods; the integration of BIM with off-site construction; and BIM pedagogy in CEM. It also addressed the need to investigate the similarities and differences between academia and industry toward perceiving the movement of BIM in construction field work.

Critical review of building handover-related research in construction and facility management journals

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lei Zhu ◽  
Ming Shan ◽  
Zhao Xu
Keyword(s):  
Systematic Review ◽  
Sustainable Development ◽  
Facility Management ◽  
The Body ◽  
Information Modeling ◽  
Smooth Transition ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions

Purpose Although the handover stage is the key transition stage between the construction and operation, there is no critical overview of issues and research at the handover stage, hindering the achievement of sustainable development of buildings. Therefore, the purpose of this paper is to review the building handover-related issues and research in construction and facility management (FM) journals. The specific objectives of this study include: analyze the research trends and overview the handover-related publications; identify the major research topics on the handover of buildings; identify research gaps and propose future research directions. Design/methodology/approach This study opted for a four-step systematic review of papers from the well-known academic journals in the construction and FM respects. Findings The results first revealed the increasing research interest in the handover of buildings from the researchers. Moreover, the post-construction defects, poor information fidelity, poor interoperability between building information modeling (BIM) and FM technologies, and insufficient consideration of end users were identified as the most concerned challenges for a building handover. Furthermore, identifying and formalizing information requirements for handover, improving the handover process, and improving the interoperability between BIM and FM were solutions mostly emphasized by researchers. Research limitations/implications As the first systematic review of building handover-related issues and research, this study is the building block for future research on this topic. The findings provide guidance for researchers in the construction and FM research community, and help them form useful collaboration for future research opportunities and find future research directions. Practical implications The identified significant challenges and potential solutions for a building handover could assist practitioners in making rational decisions on developing or adopting relevant technologies, and reshaping their management patterns and working processes. Moreover, the findings could be severed as evidence for policymakers to initiate policies, such as documents e-submission and timely updating BIMs, to achieve the vision of model-based project delivery. Originality/value This study contributed to the body of knowledge of sustainable development by providing a new insight to tackle the hindrance to the smooth transition from the construction to the operation.

Exploring a comprehensive knowledge map for promoting safety management research in the construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liang Wang ◽  
Yiming Cheng
Keyword(s):  
Network Analysis ◽  
Construction Industry ◽  
Safety Management ◽  
Future Research ◽  
Scientometric Analysis ◽  
Knowledge Map ◽  
Management Research ◽  
Research Directions ◽  
Content Type ◽  
Comprehensive Knowledge

PurposeThe purpose of this paper was to map the safety management research of construction industry by scientometric analysis, which can predict important highlights and future research directions of safety management research in the construction industry. As an important issue in the construction industry, safety management issues have been researched from different perspectives. Although previous studies make knowledge contributions to the safety management research of construction industry, there are still huge obstacles to distinguish the comprehensive knowledge map of safety management research in the construction industry.Design/methodology/approachThis study applies three scientometric analysis methods, collaboration network analysis, co-occurrence network analysis and cocitation network analysis, to the safety management research of construction industry. 5,406 articles were retrieved from the core collection database of the Web of Science. CiteSpace was used for constructing a comprehensive analysis framework to analyze and visualize the safety management research of construction industry. According to integrating the analysis results, a knowledge map for the safety management research of construction industry can be constructed.FindingsThe analysis results revealed the academic communities, key research topics and knowledge body of safety management research in the construction industry. The evolution paths of safety management research in the construction industry were divided into three development stages: “construction safety management”, “multi-objective safety management” and “comprehensive safety management”. Five research directions were predicted on the future safety management research of construction industry, including (1) comprehensive assessment indicators system; (2) intelligent safety management; (3) cross-organization collaboration of safety management; (4) multilevel safety behavior perception and (5) comparative analysis of safety climate.Originality/valueThe findings can reveal the overall status of safety management research in the construction industry and represent a high-quality knowledge body of safety management research in the construction industry that accurately reflects the comprehensive knowledge map on the safety management research of construction industry. The findings also predict important highlights and future research directions of safety management research in the construction industry, which will help researchers in the safety management research of construction industry for future collaboration and work.

A fuzzy-based decision support system for ranking the delivery methods of mega projects

2018 ◽  
Vol 11 (1) ◽  
pp. 122-143 ◽  
Author(s):  
Moza Tahnoon Al Nahyan ◽  
Yaser E. Hawas ◽  
Mohsin Raza ◽  
Hamad Aljassmi ◽  
Munjed A. Maraqa ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ordinal Scale ◽  
Project Delivery ◽  
Rule Base ◽  
Delivery Method ◽  
Delivery Methods ◽  
Content Type ◽  
Project Delivery Methods

Purpose The purpose of this paper is to present a framework to devise a system for ranking of traditional project delivery methods, regarding their suitability, against the varying levels of mega project attributes. Design/methodology/approach The proposed system employs input and output interfaces and a granular (fuzzy rule base) component for estimating the subjective levels of risks, opportunities, and constraints and then mapping them to a decision matrix. A questionnaire has been designed (using the SurveyGizmo® platform) to collect the perceptions of the various project stakeholders and use them. A total of 127 stakeholders completed the survey form in full. Findings The survey data were used to calibrate the fuzzy logic model of the granular component. The envisioned system computes, for each possible delivery method, an index that reflects the suitability (of the corresponding delivery method) on an ordinal scale. Originality/value The devised decision support system is likely to lessen the dependency of “accurate decision” on “the experience of the decision-makers.” It will also enable ranking the various project delivery methods based on the various project and stakeholder attributes that are likely to affect the project risks, opportunities and constraints.

scholarly journals COLLABORATIVE PROJECT DELIVERY METHODS: A SCOPING REVIEW

2020 ◽  
Vol 26 (3) ◽  
pp. 278-303 ◽  
Author(s):  
Atle Engebø ◽  
Ola Lædre ◽  
Brendan Young ◽  
Per Fridtjof Larssen ◽  
Jardar Lohne ◽  
...  
Keyword(s):  
State Of The Art ◽  
The Body ◽  
Project Delivery ◽  
Social Dimensions ◽  
Delivery Methods ◽  
Collaborative Project ◽  
Current State ◽  
Complex Projects ◽  
Project Delivery Methods ◽  
Construction Operation

Understanding how to systemise, organise, and finance the design, construction, operation, and maintenance activities are all parameters needed to be optimised simultaneously in a Project Delivery Method. To meet the challenges of increasingly complex projects, a new class of delivery methods is emerging. These methods are often labelled “collaborative” since they seek to align the client’s interest with those of the supply chain. The purpose of this article is to present the current state-of-the-art through a review of 156 identified articles concerning Partnering, Integrated Project Delivery, Alliancing, Relational Contracting, and Relationship-Based Procurement. A framework for the methodological procedure based on the state of the art within qualitative research was elaborated and is reported on in this paper. The results show that there is a range of research on collaborative project delivery methods across the world. By analysing the study purposes, important themes generated and delineated as a) Conceptualisation, b) Implementation and experiences, c) Pros & Cons, d) Building Partnership & Social Dimensions, and e) Performance and Success. The paper provides an overview of collaborative project delivery methods identified in the realm of academic journals. Secondly, knowledge gaps have been identified by creating a summary of the body of evidence.

Best practices of organizational change for adopting alternative project delivery methods in the AEC industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khaled Medath Aldossari ◽  
Brian C. Lines ◽  
Jake B. Smithwick ◽  
Kristen C. Hurtado ◽  
Kenneth T. Sullivan
Keyword(s):  
Organizational Change ◽  
Project Delivery ◽  
Success Rates ◽  
Delivery Methods ◽  
Content Type ◽  
Architectural Engineering ◽  
Body Of Knowledge ◽  
Project Delivery Methods ◽  
Alternative Project Delivery Methods ◽  
Alternative Project Delivery

PurposeAlthough numerous studies have examined alternative project delivery methods (APDMs), most of these studies have focused on the relationship between these methods and improved project performance. Limited research identifies how to successfully add these methods within architectural, engineering and construction (AEC) organizations. The purpose of this paper is to identifying organizational change management (OCM) practices that, when effectively executed, lead to increased success rates of adopting APDMs in owner AEC organizations.Design/methodology/approachSeven OCM practices were identified through a comprehensive literature review. Then, through a survey of 140 individuals at 98 AEC organizations, the relationships between OCM practices and organizational adoption of APDMs were established.FindingsThe findings indicate that OCM practices with the strongest relationship to successful APDM adoption are realistic timeframe, effective change agents, workloads adjustments, senior-leadership commitment and sufficient change-related training.Practical implicationsAdopting APDMs can be extremely difficult and requires significant organizational change efforts to ensure the change is a success. Organizations that are implementing APDMs for the first time should consider applying the OCM practices that this study identifies as most related to successful APDM adoption.Originality/valueThis study contributes to the existing body of knowledge by identifying the OCM practices that are most significantly associated with successfully adopting APDMs.

Trends and developments of on-site crane layout planning 1983–2020: bibliometric, scientometric and qualitative analyzes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Salman Tariq ◽  
Mohamed Hussein ◽  
Roy Dong Wang ◽  
Tarek Zayed
Keyword(s):  
Qualitative Analysis ◽  
Information Modeling ◽  
Research Trend ◽  
Future Research ◽  
Scientometric Analysis ◽  
Research Directions ◽  
Layout Planning ◽  
Content Type ◽  
Future Research Directions ◽  
Crane Selection

Purpose This study aims to thoroughly examine the trends and developments of crane layout planning (CLP) in the construction field and reveal future research directions for modular integrated construction (MiC). Design/methodology/approach Through a rigorous systematic mixed-review methodology that integrates bibliometric, scientometric and qualitative analysis, this study explored the crane layout research trend; the scientometric analysis of journal sources and keywords occurrence network; the research contributions and links between influential countries; the classification of research articles based on the type of problems and solution approaches; the qualitative analysis of existing findings and research gaps; and the future research direction for CLP in MiC. Findings This study found five categories under the CLP domain, namely, crane selection, crane location, integrated crane selection and location, integrated crane location and allocation of supply points and hybrid problems. The major research approaches used to solve CLP is optimization (43%), visualization (23%), decision support systems (16%), simulation (11%) and qualitative techniques (7%). The possible future research directions include artificial intelligence-based models, multi-crane locations, CLP for MiC re-use, dynamic models representing real-life scenarios and building information modeling-based virtual reality models. Originality/value Through a mixed-review methodology, this study provides a comprehensive analysis of problem settings and solution methods of CLP while mitigating the subjectivity of traditional review methods. Also, it presents a repertoire on CLP and illuminates future directions for seasoned researchers in the context of MiC.

scholarly journals Exploring Natural Language Processing in Construction and Integration with Building Information Modeling: A Scientometric Analysis

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 583
Author(s):  
Mirko Locatelli ◽  
Elena Seghezzi ◽  
Laura Pellegrini ◽  
Lavinia Chiara Tagliabue ◽  
Giuseppe Martino Di Giuda
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Construction Industry ◽  
Language Processing ◽  
Building Information Modeling ◽  
The Body ◽  
Information Modeling ◽  
Scientometric Analysis ◽  
Full Potential ◽  
Building Information

The European Union (EU) aims to increase the efficiency and productivity of the construction industry. The EU suggests pairing Building Information Modeling with other digitalization technologies to seize the full potential of the digital transition. Meanwhile, industrial applications of Natural Language Processing (NLP) have emerged. The growth of NLP is affecting the construction industry. However, the potential of NLP and the combination of an NLP and BIM approach is still unexplored. The study tries to address this lack by applying a scientometric analysis to explore the state of the art of NLP in the AECO sector, and the combined applications of NLP and BIM. Science mapping is used to analyze 254 bibliographic records from Scopus Database analyzing the structure and dynamics of the domain by drawing a picture of the body of knowledge. NLP in AECO, and its pairing with BIM domain and applications, are investigated by representing: Conceptual, Intellectual, and Social structure. The highest number of NLP applications in AECO are in the fields of Project, Safety, and Risk Management. Attempts at combining NLP and BIM mainly concern the Automated Compliance Checking and semantic BIM enrichment goals. Artificial intelligence, learning algorithms, and ontologies emerge as the most widespread and promising technological drivers.

scholarly journals Critical Review of the Evolution of Project Delivery Methods in the Construction Industry

Buildings ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 11
Author(s):  
Salma Ahmed ◽  
Sameh El-Sayegh
Keyword(s):  
Construction Industry ◽  
Critical Review ◽  
Selection Criteria ◽  
Project Delivery ◽  
Future Research ◽  
Delivery Method ◽  
Decision Support Model ◽  
Delivery Methods ◽  
Project Delivery Methods ◽  
Project Delivery Method

Selecting the appropriate project delivery method (PDM) is a very significant managerial decision that impacts the success of construction projects. This paper provides a critical review of related literature on the evolution of project delivery methods, selection methods and selection criteria over the years and their suitability in the construction industry of today’s world. The literature review analysis has concluded that project delivery methods evolve at a slower rate compared to the evolution of the construction industry. The paper also suggests features of an evolved project delivery method that is digitally integrated, people-centered, and sustainability-focused. Moreover, the paper highlights the latest selection criteria such as risk, health and wellbeing, sustainability goals and technological innovations. Furthermore, the paper concluded that advanced artificial intelligence techniques are yet to be exploited to develop a smart decision support model that will assist clients in selecting the most appropriate delivery method for successful project completion. Additionally, the paper presents a framework that illustrates the relationship between the different PDM variables needed to harmonize with the construction industry. Last, but not least, the paper fills a gap in the literature as it covers a different perspective in the field of project delivery methods. The paper also provides recommendations and future research ideas.

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