Decision Support Systems in Construction: A Bibliometric Analysis

Abstract

In recent years, the use of decision support systems for selecting sustainable construction materials in the building and commercial construction projects has received a great deal of attention. This paper reports an in-depth and systematic bibliometric analysis of the literature using Decision Support Systems (DSSs) for its construction, based on the papers published during the period from 2000 to 2016. The data were collected from two major databases, Web of Science (WoS) and Scopus, which included 2185 and 3233 peer reviewed articles, respectively. The analysis includes a general bibliometric analysis (publications output, country-wise research output, authorship, and collaboration patterns of these published articles). It also includes a citation analysis (keywords, most cited keywords, organizations, most cited articles, and average citations per article) and a network analysis (authors and countries). Overall, this study provides bibliometric insights and future research directions for researchers and practitioners who use DSSs.

Bibliometric Analysis of Clinical Decision Support Systems

“…Minhas and Potdar (2020) conducted a bibliometric analysis of the studies published between 2000 and 2016 on WoS and Scopus databases on decision support systems used in construction projects. The top ten countries according to the results of this study are very similar to the top ten countries found in the study of Minhas and Potdar (2020). In addition, the researchers graphically compared the Scopus and WoS citation numbers of the articles they examined in their study and stated that the two databases are similar in citation distribution.…”

“…Kitsios et al (2020) presented a bibliometric analysis of 72 studies on strategic management, corporate sustainability, and decision-making. Minhas and Potdar (2020) conducted a bibliometric analysis of the studies published between 2000 and 2016 on WoS and Scopus databases on decision support systems used in construction projects. Sweileh et al (2017) conducted a bibliometric analysis of 5,465 studies on the use of mobile technologies in healthcare between 2006 and 2016.…”

A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation

“…Finally, if the readers need more information about the existing literature on multi-criteria decision making in the construction industry, they can refer to articles that have comprehensively reviewed this discussion (e.g., [72][73][74][75][76]). Table 1 shows some important studies on the application of MCDM methods in the construction industry.…”

Multicriteria Decision-Making Methods for Sustainable Development: A Longitudinal Science Mapping Approach

“…According to Arksey and O'Malley (2005), a scoping review seeks to present an overview of a potentially large and diverse body of literature regarding a broad topic. It yielded 197 reviews, but only a few were concerned with MCDM/A applications for sustainable development issues (Kandakoglu et al, 2019;Sousa et al, 2021;Santos et al, 2019;Kumar et al, 2017;Qauser et al, PUC-Rio -Certificação Digital Nº 1912688/CA 2017;Mardani et al, 2016;Minhas and Potdar, 2020;Bertoluzzi et al, 2021;Rigo et a., 2020;Bhardwaj et al, 2019;Malek and Desai, 2020).…”

“…ELECTRE, fuzzy ELECTRE, and multicriteria analysis approaches with 25 papers had the third and fourth rank (12.69%). Moreover, TOPSIS, fuzzy TOPSIS, PROMETHEE and fuzzy PROMETHEE held fifth and sixth rank with 10 papers (5.08%) Minhas and Potdar (2020). have developed a bibliometric analysis about DSS in construction by analyzing 2,185 and 3,233 peer reviewed articles from Web of Science and Scopus databases respectively, covering the period from 2000 to 2016.…”