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The Impact of Data Environment and Profitability on Business Intelligence Adoption

  • Conference paper
Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7197))

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Abstract

The deployment of business intelligence (BI) involves complex processes of data reconfiguration and resource alignment. This study investigated whether the issues of data environment and profitability affect BI implementation for the manufacturers that have already adopted enterprise resource planning systems. We individually considered the factors of data warehousing, online analytical processing (OLAP), and data mining for the data environment, while return on assets, return on sales, and return on investment were transformed into a single component of profitability using principal component analysis. Through logistic regression, we determined that OLAP and data warehousing play important roles in the adoption of BI; however, data mining and profitability indicated no such influence.

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Author information

Authors and Affiliations

  1. Department of Business Administration, National Central University, No.300, Jhongda Rd., Jhongli City, 32001, Taiwan

    Chien-wen Shen, Ping-Yu Hsu & Yen-Ting Peng

Authors
  1. Chien-wen Shen
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  2. Ping-Yu Hsu
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  3. Yen-Ting Peng
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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© 2012 Springer-Verlag Berlin Heidelberg

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Shen, Cw., Hsu, PY., Peng, YT. (2012). The Impact of Data Environment and Profitability on Business Intelligence Adoption. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-28490-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28489-2

  • Online ISBN: 978-3-642-28490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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