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Factors to Determine Business Intelligence Implementation in Organizations

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  • Michael Smith Moreno Saavedra
  • Christian Bach

Abstract

In this study, we deploy review centric research of User Satisfaction, Cost Reducing, and Time Optimization impacting decision making on whether to implement Business Intelligence in organizations. The purpose of this paper is to present a literature review to examine the association between Business Intelligence and these three different factors. The primary goal of this study was to investigate the user’s satisfaction, cost reducing, and time optimization implications in order to choose Business Intelligence as a business tool. A comprehensive literature review of business intelligence created a theoretical foundation for this paper. Using the grounded theory, a model was developed and evaluated based on how User Satisfaction, Cost Reducing and Time Optimization impacts managerial decision-making using Business Intelligence. Using data from JSTOR and Academic Search Premier databases a new model is presented to encapsulate the highly dynamic interaction of user satisfaction, cost reducing, and time optimization with business intelligence to provide elements to consider the implementation of BI in a firm. This model highlights three key aspects that administrators consider in order to determine the possibility of taking Business Intelligence as an instrument in their daily duties. The theoretical model is limited to three factors only, which could be extended in future studies on this topic. Moreover, this model has been discussed using a theoretical perspective whereas practical contributions has been given less attention. This study provides an exciting opportunity to advance our knowledge of business intelligence to efficiently and flexibly help companies make the right decisions in real time, grasp business opportunities, and gain competitive advantage.

Suggested Citation

  • Michael Smith Moreno Saavedra & Christian Bach, 2017. "Factors to Determine Business Intelligence Implementation in Organizations," European Journal of Engineering and Technology Research, European Open Science, vol. 2(12), pages 1-7, December.
    • Handle: RePEc:epw:ejeng0:v:2:y:2017:i:12:id:60527
    DOI: 10.24018/ejeng.2017.2.12.527
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    References listed on IDEAS

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    1. Jones, Gary K. & LanctotJR., Aldor & Teegen, Hildy J., 2001. "Determinants and performance impacts of external technology acquisition," Journal of Business Venturing, Elsevier, vol. 16(3), pages 255-283, May.
    2. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    3. Mircea Raducu TRIFU & Mihaela-Laura IVAN, 2016. "Big Data Components for Business Process Optimization," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 20(1), pages 72-78.
    4. Yongqiang Sun & Yulin Fang & Kai H. Lim & Detmar Straub, 2012. "User Satisfaction with Information Technology Service Delivery: A Social Capital Perspective," Information Systems Research, INFORMS, vol. 23(4), pages 1195-1211, December.
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