Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105286
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dc.contributorDepartment of Building and Real Estate-
dc.creatorRashidi, A-
dc.creatorTamošaitienė, J-
dc.creatorRavanshadnia, M-
dc.creatorSarvari, H-
dc.date.accessioned2024-04-12T06:51:17Z-
dc.date.available2024-04-12T06:51:17Z-
dc.identifier.urihttp://hdl.handle.net/10397/105286-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Rashidi A, Tamošaitienė J, Ravanshadnia M, Sarvari H. A Scientometric Analysis of Construction Bidding Research Activities. Buildings. 2023; 13(1):220 is available at https://doi.org/10.3390/buildings13010220.en_US
dc.subjectBidding strategy and modelsen_US
dc.subjectCiteSpaceen_US
dc.subjectConstruction biddingen_US
dc.subjectHistCiteen_US
dc.subjectScientometric analysisen_US
dc.titleA scientometric analysis of construction bidding research activitiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13-
dc.identifier.issue1-
dc.identifier.doi10.3390/buildings13010220-
dcterms.abstractBidding is the process in which a contractor submits a tender to the owner of a construction project to undertake its execution. This enables companies to properly employ required contractors. This paper investigates the trends of research conducted on construction bidding from 1975 to 2022 through a scientometric analysis from different viewpoints. A total of 299 relevant articles published in 191 journals were collected from the Web of Science database and analyzed by HistCite and CiteSpace software. The top journals, articles, institutes, and authors that contributed to bidding studies were ranked. The trends of published articles and contributions from different countries on the subject were examined. Moreover, the co-occurrence network, strongest burst detection, trends of the top keywords, and cluster analysis were determined. This review creates an in-depth insight into the content, enabling researchers to understand the existing body of knowledge and to trace a practical guideline for future studies.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationBuildings, Jan. 2023, v. 13, no. 1, 220-
dcterms.isPartOfBuildings-
dcterms.issued2023-01-
dc.identifier.scopus2-s2.0-85146520946-
dc.identifier.eissn2075-5309-
dc.identifier.artn220-
dc.description.validate202403 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceself-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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