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Decision Support Systems for Managing Construction Projects: A Scientific Evolution Analysis

1
GP Krk d.d., Stjepana Radića 31, 51500 Krk, Croatia
2
Faculty of Civil Engineering, University of Rijeka, Radmile Matejčić 3, 51000 Rijeka, Croatia
3
Faculty of Civil Engineering, Architecture and Geodesy, University of Split, Matice Hrvatske 15, 21000 Split, Croatia
*
Author to whom correspondence should be addressed.
Academic Editor: Antonio Caggiano
Sustainability 2022, 14(9), 4977; https://doi.org/10.3390/su14094977
Received: 7 March 2022 / Revised: 5 April 2022 / Accepted: 19 April 2022 / Published: 21 April 2022
(This article belongs to the Special Issue Sustainability in Construction Management)
The dynamic nature and increasing complexity of construction projects impose many challenges for project planning and control. For years, there has been a debate about the success of construction projects and how to achieve them. A bibliometric study was developed based on 750 scientific papers on project success, decision support system, optimization, and project performance. Data are collected from the Scopus and Web of Science databases and cover the period from January 2000 to February 2022. Several types of analysis were made—data information, research growth, most productive country, most productive institution, most relevant source, most influential authors, collaborations between countries, institutions, authors, most relevant or most cited publication, highest frequency, and keyword occurrence. It is pointed out which are the important authors and journals and in which direction further research should be directed. This paper identifies that construction is one of the least digitized industries in the world. There is a great need for more studies on the organizational changes necessary for digitization and how to evaluate and implement digital technologies to support business on the construction site. View Full-Text
Keywords: decision support systems; construction projects; optimization; project management; performance; bibliometric analysis; topic evolution decision support systems; construction projects; optimization; project management; performance; bibliometric analysis; topic evolution
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MDPI and ACS Style

Galjanić, K.; Marović, I.; Jajac, N. Decision Support Systems for Managing Construction Projects: A Scientific Evolution Analysis. Sustainability 2022, 14, 4977. https://doi.org/10.3390/su14094977

AMA Style

Galjanić K, Marović I, Jajac N. Decision Support Systems for Managing Construction Projects: A Scientific Evolution Analysis. Sustainability. 2022; 14(9):4977. https://doi.org/10.3390/su14094977

Chicago/Turabian Style

Galjanić, Kristina, Ivan Marović, and Nikša Jajac. 2022. "Decision Support Systems for Managing Construction Projects: A Scientific Evolution Analysis" Sustainability 14, no. 9: 4977. https://doi.org/10.3390/su14094977

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