Critical evaluation of off-site construction research: A Scientometric analysis

Hosseini, M. Reza; Martek, Igor; Zavadskas, Edmundas Kazimieras; Aibinu, Ajibade A.; Arashpour, Mehrdad; Chileshe, Nicholas

doi:10.1016/j.autcon.2017.12.002

Cited by 506 publications

(455 citation statements)

References 52 publications

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“…The performance of modular prefab considering acoustic constrain, thermal behavior, energy consumption; life cycle analysis Kamali & Hewage (2016) [16] Modular construction 104 Sustainability dimensions assessment (i.e., environmental, economic, and social) Hosseini et al (2018) [17] Offsite construction 501…”

Section: Object Of Study Article Number Topicsmentioning

confidence: 99%

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A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview

2020

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Prefabricated construction (PC), with the characteristics of green, environmentally friendly, energy saving and high production efficiency, is attracting more and more attention from all over the world. Supply chain management is closely related to the application efficiency of PC, but only in the last three years has this interdisciplinary research received due attention. The prefabricated construction supply chain management (PCSCM) have not received enough attention. Especially recently, the related literature shows explosive growth. This paper adopted the method of systematic literature review through the tool of bibliometric statistics. And we reviewed 152 articles from 2001 to 2018, with the goal of understanding the current situation, trends, and gaps in PCSCM research, and a framework is proposed to promote its development. First, the study discussed the four themes of clustering, concentrating mainly on strategic research and project evaluation, PC supply chain process design and optimization, supply chain integration and management, and the application of advanced technology. Then, the research gaps and conceptual development framework to promote PCSCM were reported. Only through the coordinated development of technology, market circumstances, and decision-making level of participants, can the PCSC form an integrated whole, so as to optimize the efficiency and sustainability of prefabricated construction industry and improve its level.

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Section: Object Of Study Article Number Topicsmentioning

confidence: 99%

“…Step2: Data retrieval. Keywords of PCSCM were chosen based on the systematic review of these previous papers of PCSCM definitions which is presented in Table 2 [17]. 516 initial records were obtained using the retrieval syntax in Figure 2.…”

Section: Titles 152 Titlesmentioning

confidence: 99%

A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview

2020

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“…The wildcard character * is used to capture variations of a word, such as house and housing. Although this study intends to provide a good coverage of the topic, it does not include all potential terms because of the arduous and costly nature of doing so [55,56]. Other words including renewable energy, embodied energy and green design are feasible for improving this research field in the future.…”

Section: Data Collectionmentioning

confidence: 99%

Mapping Knowledge in the Economic Areas of Green Building Using Scientometric Analysis

Xue

Skitmore

et al. 2019

Energies

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This paper presents the first inclusive scientometric review of the economic areas of green building (GBE). The aim is to methodically examine and summarize the state-of-the-art of the GBE body of knowledge. To this end, this study analyses 1713 GBE-related bibliographic records retrieved from the Web of Science by using the quantitative method of knowledge mapping. The knowledge base, knowledge domain, and knowledge evolution of how they interacted with each other are explored using document co-citation analysis and keywords co-citation analysis of the existing body of literature. The research findings are informative in recognizing and interpreting the underlying structure and trends in GBE. A knowledge map provides a valuable and instructive understanding of the evolution and status quo of the GBE knowledge body, as well as assisting in recognizing the gaps and deficiencies involved. The results will help in understanding how GBE knowledge is evolving and its role played in green building, and thus provide suggestions of how academic research can enhance sustainability practices in terms of economic area in the future.

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“…However, several quantitative analysis techniques (e.g., bibliometrics, information systems, information science, science of science policy, and data mining) have emerged to organize and analyze massive numbers of textual documents (Salloum et al 2018). One common example of these quantitative techniques is scientometrics (e.g., Maheswaran et al 2009;Serenko et al 2010;Pollack and Adler 2015;Hosseini et al 2018). Yet, although scientometrics focuses on quantifying the impact of articles and authors based on their corresponding citation data, it does not provide any topic-related information, which is key to facilitate a better understanding of the publication relevance/context within a discipline.…”

Section: Introductionmentioning

confidence: 99%

Metaresearching Structural Engineering Using Text Mining: Trend Identifications and Knowledge Gap Discoveries

Ezzeldin

El‐Dakhakhni

2020

J. Struct. Eng.

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The significant increase in the number of journal paper submissions/publications in the last decades has been paralleled by a shift to (mainly) on-line publication and digital archiving of past research articles. This situation has created an opportunity to metaresearch (conduct research on research) structural engineering through benefiting from emerging computational techniques such as data mining to track historical and current research focuses and trends and to better identify evolving research themes and discover possible cross-cutting knowledge gaps. Such metaresearch can benefit all structural engineering community stakeholders (e.g., researchers, designers, and funding agencies) in multiple ways including research resource realignments and optimizations to meet current and future research needs. The current study utilizes text mining-a class of data mining-to analyze published structural engineering research over 26 years. The considered dataset represents more than 11,000 articles, published in the two leading structural engineering journals (Journal of Structural Engineering and Engineering Structures) from 1991 to 2016. Following the collection and preparation of the training and testing datasets, the latent Dirichlet allocation (LDA) topic modeling technique is utilized to identify, classify, and categorize articles in terms of their topics, characterized by relevant technical terms. Subsequently, quantitative analyses are used to evaluate the temporal inclusion trends within the 11,000 article dataset. The LDA technique is also reapplied on only articles published between 2012 and 2016, to identify recent research topic developments and investigate the correlation between these topics and their counterparts covering the entire 26-year study period. Finally a word co-occurrence network and a topic interlinkage matrix are also developed, providing visual tools to rapidly evaluate structural engineering research subfield co-occurrences and linkage strengths. The overarching aim of this metaresearch is to identify understudied intersections of structural engineering subfields and highlight Blue Ocean opportunities at the interfaces of structural engineering and other established fields and emerging technologies. individual papers. This paper is part of the Journal of Structural Engineering, © ASCE, ISSN 0733-9445. © ASCE 04020061-1 J. Struct. Eng. J. Struct. Eng., 2020, 146(5): 04020061 Downloaded from ascelibrary.org by 44.224.250.200 on 07/03/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020061-2 J. Struct. Eng. J. Struct. Eng., 2020, 146(5): 04020061 Downloaded from ascelibrary.org by 44.224.250.200 on 07/03/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020061-3 J. Struct. Eng. J. Struct. Eng., 2020, 146(5): 04020061 Downloaded from ascelibrary.org by 44.224.250.200 on 07/03/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020061-5 J. Struct. Eng. J. Struct. Eng., 2020, 146(5): 04020061 Downloaded from ascelibrary.org by 44....

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Critical evaluation of off-site construction research: A Scientometric analysis

Cited by 506 publications

References 52 publications

A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview

A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview

Mapping Knowledge in the Economic Areas of Green Building Using Scientometric Analysis

Metaresearching Structural Engineering Using Text Mining: Trend Identifications and Knowledge Gap Discoveries

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