在建筑公司应用商业智能的管理机会

IF 4.3 3区 工程技术 Q1 ENGINEERING, CIVIL Journal of Civil Engineering and Management Pub Date : 2023-07-21 DOI:10.3846/jcem.2023.19533
Mahboobeh Golestanizadeh, H. Sarvari, Daniel W. M. Chan, Nerija Banaitienė, A. Banaitis
{"title":"在建筑公司应用商业智能的管理机会","authors":"Mahboobeh Golestanizadeh, H. Sarvari, Daniel W. M. Chan, Nerija Banaitienė, A. Banaitis","doi":"10.3846/jcem.2023.19533","DOIUrl":null,"url":null,"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.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MANAGERIAL OPPORTUNITIES IN APPLICATION OF BUSINESS INTELLIGENCE IN CONSTRUCTION COMPANIES\",\"authors\":\"Mahboobeh Golestanizadeh, H. Sarvari, Daniel W. M. Chan, Nerija Banaitienė, A. Banaitis\",\"doi\":\"10.3846/jcem.2023.19533\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":15524,\"journal\":{\"name\":\"Journal of Civil Engineering and Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2023-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Civil Engineering and Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.3846/jcem.2023.19533\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Civil Engineering and Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3846/jcem.2023.19533","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

摘要

在建筑项目中,管理者每天都要做出多项决策。这些决定大多相对不重要;其中一些是至关重要的,可能会导致建筑项目的成败。为了确保建筑公司做出有效的管理决策,决策需要进行初步的技术和经济分析,比较不同的决策解决方案,使用规划系统,并确保根据提供的计划实施项目。因此,在基于项目的公司中,使用在管理和决策中发挥核心作用的强大系统(如商业智能)至关重要。本研究旨在通过描述性调查方法,确定和评估BI在项目型建筑公司应用中的主要管理机会。采用由7类60个因素组成的实证研究问卷。在确认问卷的有效性和可靠性后,将问卷分发给了100名专家,他们来自5家活跃的项目型建筑公司,熟悉BI主题。为了分析数据,使用SPSS软件进行单样本t检验和Friedman检验。研究结果表明,在基于项目的建筑公司中,已确定的使用BI的机会的重要性高于平均水平,在此类公司中使用BI的情况下,这些机会可以用来提高项目绩效。当前研究的结果可以帮助管理者和其他利益相关者作为一种有效的决策工具,更好地在基于项目的公司中实施BI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
MANAGERIAL OPPORTUNITIES IN APPLICATION OF BUSINESS INTELLIGENCE IN CONSTRUCTION COMPANIES
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.70
自引率
4.70%
发文量
0
审稿时长
1.7 months
期刊介绍: The Journal of Civil Engineering and Management is a peer-reviewed journal that provides an international forum for the dissemination of the latest original research, achievements and developments. We publish for researchers, designers, users and manufacturers in the different fields of civil engineering and management. The journal publishes original articles that present new information and reviews. Our objective is to provide essential information and new ideas to help improve civil engineering competency, efficiency and productivity in world markets. The Journal of Civil Engineering and Management publishes articles in the following fields: building materials and structures, structural mechanics and physics, geotechnical engineering, road and bridge engineering, urban engineering and economy, constructions technology, economy and management, information technologies in construction, fire protection, thermoinsulation and renovation of buildings, labour safety in construction.
期刊最新文献
INTEGRATING ENHANCED OPTIMIZATION WITH FINITE ELEMENT ANALYSIS FOR DESIGNING STEEL STRUCTURE WEIGHT UNDER MULTIPLE CONSTRAINTS RANDOM FIELD-BASED TUNNELING INFORMATION MODELING FRAMEWORK FOR PROBABILISTIC SAFETY ASSESSMENT OF SHIELD TUNNELS SHM-BASED PRACTICAL SAFETY EVALUATION AND VIBRATION CONTROL MODEL FOR STEEL PIPES STUDY OF THE INFLUENCE OF METRO LOADS ON THE DESTRUCTION OF NEARBY BUILDINGS AND CONSTRUCTION STRUCTURES USING BIM TECHNOLOGIES PERFORMANCE EVALUATION OF PALM OIL CLINKER AS CEMENT AND SAND REPLACEMENT MATERIALS IN FOAMED CONCRETE
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1