dc.contributor.author | Golestanizadeh, Mahboobeh | |
dc.contributor.author | Sarvari, Hadi | |
dc.contributor.author | Chan, Daniel W. M. | |
dc.contributor.author | Banaitienė, Nerija | |
dc.contributor.author | Banaitis, Audrius | |
dc.date.accessioned | 2023-09-18T20:47:09Z | |
dc.date.available | 2023-09-18T20:47:09Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1392-3730 | |
dc.identifier.other | (crossref_id)151384356 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/152586 | |
dc.description.abstract | In construction projects, managers make multiple decisions every day. Most of these decisions are relatively unimportant; some of them are critical and could lead to the success or failure of a construction project. To ensure construction companies make effective managerial decisions, decision making requires performing an initial technical and economic analysis, comparing different decision-making solutions, using a planning system, and ensuring project implementation based on the provided plans. Therefore, the use of powerful systems such as business intelligence (BI), which play a central role in management and decision-making, is essential in project-based companies. The current study aims to determine and evaluate the main managerial opportunities in the application of BI in project-based construction companies using a descriptive survey approach. An empirical research questionnaire consisting of 60 factors and 7 categories was adopted. The questionnaire, after confirming its validity and reliability, was distributed to 100 experts engaged in 5 active project-based construction companies who were familiar with BI topics. To analyse the data, a one-sample t-test and the Friedman test were performed using the SPSS software. The findings indicated that the importance of the identified opportunities for the use of BI in project-based construction companies is above average and that, in the case of using BI in such companies, these opportunities can be used to improve project performance. The results of the current study can help managers and other stakeholders as an effective decision-making tool to better implement BI in project-based companies. | eng |
dc.format | PDF | |
dc.format.extent | p. 487-500 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | ProQuest Central | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | ICONDA | |
dc.relation.isreferencedby | Dimensions | |
dc.relation.isreferencedby | Gale's Academic OneFile | |
dc.relation.isreferencedby | Compendex | |
dc.relation.isreferencedby | Academic Search Complete | |
dc.source.uri | https://journals.vilniustech.lt/index.php/JCEM/article/view/19533 | |
dc.title | Managerial opportunities in application of business intelligence in construction companies | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 64 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Islamic Azad University | |
dc.contributor.institution | Islamic Azad University The Hong Kong Polytechnic University | |
dc.contributor.institution | The Hong Kong Polytechnic University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.vgtuprioritizedfields | SD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures | |
dc.subject.ltspecializations | L102 - Energetika ir tvari aplinka / Energy and a sustainable environment | |
dc.subject.en | business intelligence | |
dc.subject.en | construction companies | |
dc.subject.en | construction project | |
dc.subject.en | project-based companies | |
dcterms.sourcetitle | Journal of civil engineering and management | |
dc.description.issue | iss. 6 | |
dc.description.volume | vol. 29 | |
dc.publisher.name | Vilnius Gediminas Technical University | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 151384356 | |
dc.identifier.doi | 2-s2.0-85165947729 | |
dc.identifier.doi | 85165947729 | |
dc.identifier.doi | 1 | |
dc.identifier.doi | 001040474800001 | |
dc.identifier.doi | 10.3846/jcem.2023.19533 | |
dc.identifier.elaba | 172698490 | |