A Metadata Review on Business Intelligence in the Construction Industry

dc.contributor.author	Mahmudin, Alwi
dc.contributor.author	Mohsin, Ainul Mohsein Abdul
dc.contributor.author	Islam, Md Shamimul
dc.date.accessioned	2024-04-21T03:33:14Z
dc.date.available	2024-04-21T03:33:14Z
dc.date.issued	2023-11-23
dc.identifier.issn	1751-0252
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12080
dc.description.abstract	Little effort has been made to know the status of BI in the construction industries. Business intelligence (BI) is critical for companies to migrate into Industry 4.0. Therefore, this study aims to review the literature related to BI in the construction industry to find out the status and presents directions for future research. Twenty-five articles were collected from the Scopus database from the year 2000 to April 2019. The study analysed the data through data mining and descriptive statistics. The findings revealed a growing upward trend in publications. Moreover, Artūras Kaklauskas was found as the top author and Expert Systems with Applications and Journal of Construction Engineering and Management were found to be the top journals that publish the most number of papers. This study contributes to literature by presenting a review paper on BI in the construction industry.	en_US
dc.language.iso	en_US	en_US
dc.subject	Business intelligence	en_US
dc.subject	Construction industry	en_US
dc.title	A Metadata Review on Business Intelligence in the Construction Industry	en_US
dc.type	Article	en_US