Business Intelligence to support management in civil construction: a systematic literature review

被引:0
作者
Lopes, Anderson Brunheira [1 ]
Boscarioli, Clodis [1 ]
Pereira, Eliane Nascimento [1 ]
Bezerra, Renata Camacho [1 ]
机构
[1] Univ Estadual Oeste Parana, Cascavel, Parana, Brazil
来源
ATOZ-NOVAS PRATICAS EM INFORMACAO E CONHECIMENTO | 2020年 / 9卷 / 01期
关键词
Business Intelligence; Computational Tools; Data Analysis; BuildingWorks; Systematic Literature Review; DATA WAREHOUSE; INFORMATION; KNOWLEDGE;
D O I
10.5380/atoz.v9i1.72574
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Introduction: Management is essential for meeting the requirements of a project and the computational tools of Business Intelligence (BI) have great potential to contribution, providing management information about the business. Tools of this type are used in several sectors of the industry, but in civil construction, the focus of this work, the scenario is different, with much to aadvance. Therefore, a survey of BI tools applicable to the construction sector and its uses ar presented. Method: it conducts a systematic review of the literature, which analyzed 595 articles from six databases (ACM, Engineering Village, IEEE, Material Science Engineering, Science Direct, Scopus andWeb of Science). Results: it identifies12 different applications, mainly in cost management, budget and job security. In the applications, uses of DataWarehouse and OLAP technologies were evidenced. In addition, it was found that most BI tools were developed for each company to the detriment of commercial software. Conclusions: there are several BI tools for civil construction, with different purposes. Most softwares were developed for each case studied due to the unique characteristics of the construction sector. It is believed that the large-scale adoption of the tools involves cooperation between companies, class entities and universities. Limitations were found in the research regarding the characterization of companies, due to the absence of this data in the analyzed articles. Finally, it is suggested that the challenges of implementing the technologies and the verified limitations can be addressed in future studies.
引用
收藏
页码:74 / 84
页数:11
相关论文
共 35 条
[31]   A project-oriented data warehouse for construction [J].
Rujirayanyong, Thammasak ;
Shi, Jonathan J. .
AUTOMATION IN CONSTRUCTION, 2006, 15 (06) :800-807
[32]  
Sapateiro C., 2019, P 11 IN C
[33]   APPLICATION OF ANALYTIC DATABASES TO SUPPORT DECISION MAKING IN STRUCTURAL ENGINEERING [J].
Szelka, J. ;
Wrona, Z. .
ARCHIVES OF CIVIL ENGINEERING, 2010, 56 (02) :173-192
[34]   Towards a methodology for developing evidence-informed management knowledge by means of systematic review [J].
Tranfield, D ;
Denyer, D ;
Smart, P .
BRITISH JOURNAL OF MANAGEMENT, 2003, 14 (03) :207-222
[35]  
Vuori V, 2007, PROCEEDINGS OF THE 8TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT, VOL 1 AND 2, P1086