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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/102943


    Title: Factors of data infrastructure and resource support influencing the integration of business intelligence into enterprise resource planning systems
    Authors: 沈建文;Shen, Chien-Wen
    Contributors: 管理學院企業管理學系
    Keywords: Bayesian analysis;Data warehousing;Divestitures;Enterprise resource planning;Information management;Infrastructure;Mathematical models
    Date: 2015-01-01
    Issue Date: 2026-04-23 11:20:37 (UTC+8)
    Publisher: Inderscience Publishers (IEL)
    Abstract: 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
    Appears in Collections:[Department of Business Administration ] journal & Dissertation

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