Title: A metadata review on business intelligence in the construction industry

Authors: Alwi Mahmudin; Ainul Mohsein Abdul Mohsin; Md Shamimul Islam

Addresses: School of Management, Universiti Sains Malaysia, Penang, Malaysia ' School of Management, Universiti Sains Malaysia, Penang, Malaysia ' Bangladesh Institute of Supply Chain Management, Dhaka, Bangladesh; Daffodil International University, Dhaka, Bangladesh

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.

DOI: 10.1504/IJBIR.2023.134656

International Journal of Business Innovation and Research, 2023 Vol.32 No.2, pp.147 - 168

Received: 10 Nov 2020
Accepted: 29 Apr 2021
Published online: 03 Nov 2023 *

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