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

Authors: Chien-Wen Shen

Addresses: Department of Business Administration, National Central University, No. 300, Jhongda Rd., Jhongli City, Taoyuan County 32001, Taiwan

Abstract: 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.

Keywords: enterprise resource planning; ERP; business intelligence; data warehouses; data mining; OLAP; Bayesian networks; data infrastructure; resource support; financial performance; manufacturing industry.

DOI: 10.1504/IJIIDS.2015.070822

International Journal of Intelligent Information and Database Systems, 2015 Vol.9 No.1, pp.1 - 14

Accepted: 12 Oct 2014
Published online: 28 Jul 2015 *

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