Research trends analysis using text mining in construction management: 2000–2020

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eymen Çağatay Bilge ◽  
Hakan Yaman
Keyword(s):  
Text Mining ◽  
Information Management ◽  
Bibliometric Analysis ◽  
Construction Management ◽  
Detection Method ◽  
Research Trends ◽  
Information Modeling ◽  
Topic Detection ◽  
Content Type ◽  
Building Information

PurposeThis study aims to identify the trends that have changed in the field of construction management over the last 20 years.Design/methodology/approachIn this study, 3,335 journal articles published in the years 2000–2020 were collected from the Web of Science database in construction management. The authors applied bibliometric analysis first and then detected topics with the latent Dirichlet allocation (LDA) topic detection method.FindingsIn this context, 20 clusters from cluster analysis were found and the topics were extracted in clusters with the LDA topic detection method. The results show “building information modeling” and “information management” are the most studied subjects, even though they have emerged in the last 15 years “building information modeling,” “information management,” “scheduling and cost optimization,” “lean construction,” “agile approach” and “megaprojects” are the trend topics in the construction management literature.Research limitations/implicationsThis study uses bibliometric analysis. The authors accept that the co-citation and co-authorship relationship in the data is ethical. They accept that honorary authorship, self-citation or honorary citation do not change the pattern of the construction management research domain.Originality/valueThere has been no study conducted in the last 20 years to examine research trends in construction management. Although bibliometric analysis, systematic literature reviews and text mining methods are used separately as a methodology for extracting research trends, no study has used enhanced bibliometric analysis and the LDA topic detection text mining method.

A bibliometric review of advances in building information modeling (BIM) research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayotunde Babalola ◽  
Shamsudeen Musa ◽  
Mariam Temisola Akinlolu ◽  
Theo C. Haupt
Keyword(s):  
Text Mining ◽  
Bibliometric Analysis ◽  
Information Exchange ◽  
Laser Scanning ◽  
Building Information Modeling ◽  
Research Trends ◽  
Information Modeling ◽  
Historical Building ◽  
Content Type ◽  
Building Information

Purpose This paper aims to provide a bibliometric analysis of advances in building information modeling (BIM) research globally. It provides a recent state-of-the-art assessment on trends as it relates to the architecture, engineering and construction (AEC) industry. Being a vastly emerging research area, there is a need for the appraisal of research trends. Design/methodology/approach A comprehensive bibliometric analysis was conducted using a dual step filtering system on an initial volume of 2347 documents in the first stage between 2010 and 2020, and of 311 publications in the final stage of the analyses which emphasized more on 2015–2020 from the WoS database. Frequency analyses on the sources, affiliations, authors and country/ region of publication were assessed in the first stage of the analyses. Co-authorship and evidence of author collaboration were also examined. The second stage included a co-occurrence keyword network analysis. Further, text mining/mapping of the abstract of the documents was performed. Findings Emerging trends in the field of BIM research include but are not limited to historical building information modeling (h-BIM) applications, the use of blockchain technology, digital twin, Construction Operations Building information exchange (COBiE), Industry Foundation Classes (IFC), dynamo-bim, energy plus software and BIM laser scanning innovations. The possibility of these innovations solving some current BIM challenges were also discussed. Originality/value The study provides an insight into the BIM research trends globally while identifying existing challenges. The study uses text mining of unstructured abstracts, which has not been reported in BIM research.

Bridging BIM and building (BBB) for information management in construction

2019 ◽  
Vol 26 (7) ◽  
pp. 1518-1532 ◽  
Author(s):  
Ke Chen ◽  
Weisheng Lu
Keyword(s):  
Information Management ◽  
Asset Management ◽  
Construction Project ◽  
Real Life ◽  
Underlying Mechanism ◽  
Information Modeling ◽  
Information Quantity ◽  
Content Type ◽  
Building Information

Purpose How to make an effective use of building information modeling (BIM) for information management (IM) is a challenging question in the field of construction project and asset management. Chen et al. (2015) answered this question by developing a conceptual framework of “bridging BIM and building (BBB).” However, the underlying mechanism through which BBB can truly impact IM remains unclear. The purpose of this paper is thus to demystify the mechanism linking BBB and IM. Design/methodology/approach Drawing upon the IM literature, this paper proposes three IM requirements, namely, requirements on information quantity, quality and accessibility, as the significant mediators between BBB and IM. To verify this proposition, a two-year, participatory case study was conducted based on a real-life construction project in which a BBB system was implemented. Findings The results of the case study supported the proposition that by enhancing the information quantity, quality and accessibility BBB could favorably contribute to IM in construction. Practical implications This paper provides knowledge about system architecture, components and their linkage in an operable BBB system. It also provides empirical experience about BBB implementation. Originality/value This study is among the first attempts to streamline the theoretical discourses relating to BBB for IM in a construction context. It contributes to the construction IM by directing attention to key IM requirements and processes rooted in the IM literature.

Incorporating Blockchain technology in construction management

2019 ◽  
Vol 35 (10) ◽  
pp. 1-3 ◽  
Author(s):  
Mahdi Safa ◽  
Sylvia Baeza ◽  
Kelly Weeks
Keyword(s):  
Construction Management ◽  
Project Managers ◽  
Information Modeling ◽  
Senior Executives ◽  
Systematic Analysis ◽  
Content Type ◽  
Blockchain Technology ◽  
Building Information ◽  
Processing Component

Purpose This study explores the use of Blockchain technology as a new solution to many current problems in construction information management. The study shows that Blockchain has the potential to address several issues such as confidentiality, provenance tracking; monitoring channel and ledger metrics; disintermediation; non-repudiation; change tracing; multiparty aggregation; traceability inter-organizational recordkeeping; and data ownership. Design A systematic analysis of a paper published, “Potentials of Blockchain Technology for Construction Management,” is offered. The structured results are provided for the purpose of contributing to the discussion of the topic. Findings The results of this study shows that the suitable position for the integration of Blockchain is the interface-points of the transaction processing component of the Building Information Modeling server. This technology also can help in controlling and fingerprinting all information exchanges and communication. The conclusion drawn from the study provides a foundation from which further research can be developed. Originality and Value The findings of this study will help construction project managers and senior executives with a deeper understanding of Blockchain technology and its long-term implications for the construction industry; coupled with knowledge of its relationship to other emerging technologies such as BIM. Propositions for smart contracts deployment and further research are suggested.

scholarly journals Analysis of Trends in Korean BIM Research and Technologies Using Text Mining

2019 ◽  
Vol 9 (20) ◽  
pp. 4424 ◽  
Author(s):  
Seungyeon Choo ◽  
Hyejin Park ◽  
Taehoon Kim ◽  
Jihyo Seo
Keyword(s):  
Text Mining ◽  
Research Trends ◽  
Information Modeling ◽  
Main Research ◽  
Strategic Direction ◽  
The Future ◽  
Building Information ◽  
Key Topics ◽  
Active Research ◽  
Future Direction

Building information modeling (BIM) has emerged as one of the key trends in the architecture, engineering, and construction (AEC) industry. As interest in BIM rapidly increased, the quantity of related literature also increased, thus, it has become important to analyze and identify the key topics and trends in BIM research over this period. Therefore, in order to analyze the research and technology trends related to BIM in Korea, we used the text-mining technique. In addition, by analyzing BIM-related papers using text-mining technology, we can analyze the patterns, main research trends, and trends in specific fields through data preprocessing, which formalizes the unstructured data of sentences, thus presenting us with a specific strategic plan for the future direction of research and technology related to BIM in Korea. In order to propose a strategic direction for future BIM-related research and technology in Korea, in this study, many researches related to BIM in Korea were collected and changes in the patterns and research trends of the BIM research periods were analyzed by dividing them it into the periods of introduction, development, and adaptation using text-mining methods and techniques, frequency analysis, and topic modeling methods. Therefore, in the future, BIM will be developed not only in the field of architecture but in all fields related to the construction industries, such as civil engineering, aviation, and shipping, and more active research will be conducted in various fields.

VisualCOBie for facilities management

Facilities ◽  
2019 ◽  
Vol 37 (7/8) ◽  
pp. 502-524 ◽  
Author(s):  
Mehmet Yalcinkaya ◽  
Vishal Singh
Keyword(s):  
Visual Perception ◽  
Information Management ◽  
Information Exchange ◽  
Design Thinking ◽  
Visual Navigation ◽  
Information Modeling ◽  
Facilities Management ◽  
Content Type ◽  
Management Platform ◽  
Building Information

Purpose The purpose of this paper is to describe the technical features, underlying concepts and implementation details of a novel Building Information Modeling (BIM)-integrated, graph-based platform developed to support BIM for facilities management through a usability driven visual representation of the construction operations building information exchange (COBie) spreadsheet data. Design/methodology/approach This paper is based on the iterative steps of design thinking and agile software development methodology. The conceptual development of the VisualCOBie platform is based on Gestalt’s principles of visual perception to facilitate usability and comprehension of the COBie data. Findings The paper demonstrates that Gestalt’s principles of visual perception provide a suitable conceptual as well as implementable basis for improving the usability and comprehension of COBie spreadsheets. The implemented BIM-integrated, graph-based VisualCOBie platform supports visual navigation and dynamic search, reducing the cognitive load of large spreadsheets that are common in facilities management software. Research limitations/implications The usability, visual search and dependencies-based search of VisualCOBie can potentially transform how we implement and use facilities and information management systems in construction, where large spreadsheets are frequently used in conjunction with BIM and other tools. VisualCOBie also provides usability-based step towards BIM for facilities management. Originality/value The VisualCOBie approach provides a novel user interface and information management platform. This paper may also foster a potential paradigm shift in our approach to the representation and use of information exchange standards such as COBie, which are required to facilitate the research and practice on BIM for facilities management.

Necessity of big data analysis in construction management

2019 ◽  
Vol 35 (1) ◽  
pp. 3-5 ◽  
Author(s):  
Mahdi Safa ◽  
Lillian Hill
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Construction Management ◽  
Analysis Data ◽  
Big Data Analysis ◽  
Information Modeling ◽  
Content Type ◽  
Management Processes ◽  
Building Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Big data analysis in the world of construction management has become a necessity after the discovery of how much time, energy, and money can be preserved. By the investigation of big data in construction, the deduction was made that data analysis, data mining, and Building Information Modeling are the future for construction management. If properly applied to future construction management processes, big data analysis methodologies could eliminate mistakes, setbacks, and wasted resources for projects Practical implications The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Information management roles in real estate development lifecycle: literature review on BIM and IPD framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eymen Cagatay Bilge ◽  
Hakan Yaman
Keyword(s):  
Real Estate ◽  
Information Management ◽  
Information Modeling ◽  
Project Delivery ◽  
Real Estate Development ◽  
Integrated Project Delivery ◽  
Content Type ◽  
Development Lifecycle ◽  
Building Information ◽  
Management Roles

Purpose Integrated project delivery (IPD) and building information modeling (BIM) has begun to be used in real estate development projects over the past decade to improve collaboration, communication and efficiency. However, the use of BIM and IPD in projects does not always imply that the information is well used and managed. This study aims to explain how information management should be carried out in BIM and IPD projects, what activities should be managed by the information manager and which stakeholder should play this role and why? Design/methodology/approach This study provides a framework on the subject by conducting a comprehensive systematic review in the field of real estate development, BIM, IPD and information management. In this context, the Web of Science and Scopus databases have been systematically reviewed, n = 45 out of a total of n = 1,356 articles and additionally, the BIM documents and standards prepared by public institutions and organizations and industry reports have been examined in detail. Findings The framework for information management roles was established by reviewing the literature. According to this framework, information management activities of information managers are listed in the table that covers all phases of real estate development. The owner should undertake this role as it is the entity that oversees the built asset from planning to the management of that facility. Originality/value In terms of acquiring information management roles, there is no research on BIM and IPD projects and who will take over this role. This study desired to close this gap in the literature.

Factors impacting BIM application in prefabricated buildings in China with DEMATEL-ISM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cheng Gong ◽  
Hongyu Xu ◽  
Feng Xiong ◽  
Jian Zuo ◽  
Na Dong
Keyword(s):  
Rapid Development ◽  
Information Modeling ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Expert Interview ◽  
Improvement Strategies ◽  
Building Information ◽  
Share Data ◽  
Strategic Goals

Purpose Some papers have investigated the complex factors impacting building information modeling (BIM) application in prefabricated buildings (PBs), but few paid attention to their interaction relationships. Ignoring the fact that different factors are not isolated may lead to some key factors being overlooked without appropriate improvement strategies being proposed. This paper aims to analyze those factors and their inter-relationships, with the view to identify the critical factors and their interaction relationships so as to derive constructive strategies that would effectively facilitate BIM adoption in Chinese prefabrication. Design/methodology/approach First, factors influencing BIM application in prefabrication are extracted and collated by literature review, expert interview and analysis of PBs characteristics. Thereafter, an evaluation laboratory (decision-making trial and evaluation laboratory) and interpretive structural modeling are used to explore the relationships and hierarchy among the factors. Based on the degree of cause and centrality, critical factors are extracted and the interaction relationship are investigated. Findings The results show that BIM policies and standards for PBs are the main causal factors. The maturity of BIM software and BIM data interface for PBs, willingness to share data, the strategic goals of the enterprise, BIM law and BIM input and benefit are the main transitional factors while BIM staff and workflow, enterprise attitude, distribution of BIM liability and cooperation of participants are the main direct factors. Originality/value Based on the above findings, corresponding improvement strategies are proposed so as to promote BIM application in prefabrication and the rapid development of China’s PBs efficiently.

scholarly journals Analysis of the drivers and benefits of BIM incorporation into quantity surveying profession

2018 ◽  
Vol 16 (5) ◽  
pp. 750-766 ◽  
Author(s):  
Solomon Olusola Babatunde ◽  
Damilola Ekundayo ◽  
Olubola Babalola ◽  
Jumoke Aduramigba Jimoh
Keyword(s):  
Undergraduate Students ◽  
Practical Implication ◽  
Empirical Studies ◽  
Information Modeling ◽  
Content Type ◽  
Whitney Test ◽  
Mann Whitney Test ◽  
Significant Difference ◽  
Building Information ◽  
Quantity Surveying

Purpose Building information modeling (BIM) inclusion in education pedagogy is crucial in preparing skilled graduates for employment in the construction industry. Against this backdrop, studies on BIM education abound in architecture, engineering and construction (AEC) programmes in higher education institutions (HEIs). However, there are limited empirical studies on BIM potentials in the quantity surveying (QS) profession in HEIs, particularly in developing countries. The purpose of this study is to identify and assess the BIM drivers and benefits as important to the QS profession using an empirical approach. Design/methodology/approach A comprehensive literature review was conducted to identify the BIM drivers and benefits in relation to the QS profession, which was used to design a questionnaire. To capture a broad perception, a questionnaire survey was carried out which targeted the academia and final year undergraduate students from two selected universities offering QS honour degree programmes in Nigeria. Data collected were analysed using mean score, standard deviation and Mann–Whitney test. Findings The study identified 12 BIM drivers in relation to the QS profession and the analysis of the ranking revealed that almost all the identified BIM drivers are considered by respondents as important. The study further identified 14 BIM benefits and the analysis of the ranking indicated that all the identified BIM benefits are considered as important. The results of the Mann–Whitney test indicated a slight statistically significant difference, particularly in one of the selected universities on the ranking of the BIM drivers and benefits as important to the QS profession. Practical implication The findings of the study provide empirical evidence on the current perceptions of the drivers and benefits of BIM to QS academia and students as they explore the concept for the advancement of QS profession. Originality/value This study would provide practical insights to use BIM for QS practice. Also, this study would contribute to improving the QS graduates and professional quantity surveyors understanding of the BIM knowledge applicable to QS profession.

A comprehensive analysis of the 21st century's research trends in English Mobile Learning: a bibliographic review of the literature

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rouhollah Khodabandelou ◽  
Masood Fathi ◽  
Mohammad Amerian ◽  
Mohammad Reza Fakhraie
Keyword(s):  
Bibliometric Analysis ◽  
Mobile Learning ◽  
Research Trends ◽  
Current Status ◽  
Future Research ◽  
Review Of Literature ◽  
Content Type ◽  
The Past ◽  
Learning Research ◽  
Points Of View

PurposeThis study examines the importance of English Mobile Learning research as a foundation for lifelong and sustainable education from different points of view, including those of technology innovation experts, psychologists and educators. It aims to explore the current status and relevant research trends through the application of bibliometric mapping and bibliometric analysis.Design/methodology/approachFor this study, all Web of Science records (in total 5,343) from 2000 to 2020 in the field of English Mobile Learning were analyzed using the VOSviewer and CiteSpace software tools. The WoS built-in functions, including “Refine” and “Analyze,” were employed to perform the bibliometric analysis. The study further analyzed a sample of the five most-cited articles to identify the previous studies with the highest quality or impact.FindingsThe results showed that research in English Mobile Learning is growing quickly and steadily with a noticeable emphasis on various device-based technologies and applications. The study also discusses the key implications for research institutions, education policymakers and academicians, and identifies the most prominent avenues for future research on English Mobile Learning. Moreover, the results shared in this review highlight the most important and emerging areas of research in the field.Originality/valueThis article is the most recent bibliographic review of literature that particularly addresses the English Mobile Learning research during the past two decades.

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