A metadata review on business intelligence in the construction industry
Alwi Mahmudin,
Ainul Mohsein Abdul Mohsin and
Md Shamimul Islam
International Journal of Business Innovation and Research, 2023, vol. 32, issue 2, 147-168
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.
Keywords: business intelligence; construction industry; data mining; artificial intelligence; literature review. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=134656 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbire:v:32:y:2023:i:2:p:147-168
Access Statistics for this article
More articles in International Journal of Business Innovation and Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().