Factors of data infrastructure and resource support influencing the integration of business intelligence into enterprise resource planning systems

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题名:	Factors of data infrastructure and resource support influencing the integration of business intelligence into enterprise resource planning systems
作者:	沈建文;Shen, Chien-Wen
贡献者:	管理學院企業管理學系
关键词:	Bayesian analysis;Data warehousing;Divestitures;Enterprise resource planning;Information management;Infrastructure;Mathematical models
日期:	2015-01-01
上传时间:	2026-04-23 11:20:37 (UTC+8)
出版者:	Inderscience Publishers (IEL)
摘要:	摘要： This study aims to investigate whether data infrastructure and resource support affect the integration of business intelligence (BI) into enterprise resource planning (ERP) systems. A Bayesian network model includes the variables of data warehouse, OLAP, data mining, ERP vendor, online period of ERP, return on assets, return on sales, return on investment, sales over employees and BI implementation was developed to investigate the issues of this research. Empirical findings from ERP-implemented manufacturers suggest that BI implementation may not have positive impacts on financial performances. In contrast, BI-implemented companies generally have more complicated data infrastructure than the companies without BI systems. In addition, results of Bayesian inferences suggest that ERP vendor, data warehouse, OLAP and data mining may have significant impacts on the implementation of BI systems. Hence, companies should choose their ERP solutions carefully or start planning their data infrastructure if they expect to adopt BI solutions in the future. 其他題名： ijiids 出版者： Inderscience Publishers (IEL) 出版日期： 2015 出處： International journal of intelligent information and database systems, 2015, Vol.9 (1), p.1-14 版權： Copyright © 2015 Inderscience Enterprises Ltd. 識別號： ISSN: 1751-5858 識別號： EISSN: 1751-5866 識別號： DOI: 10.1504/IJIIDS.2015.070822
显示于类别:	[企業管理學系] 期刊論文

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