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European Journal of Engineering and Technology Research, 12(2), p. 1-7, 2017

DOI: 10.24018/ejeng.2017.2.12.527

European Journal of Engineering Research and Science, 12(2), p. 1

DOI: 10.24018/ejers.2017.2.12.527

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Factors to Determine Business Intelligence Implementation in Organizations

Journal article published in 2017 by Michael Smith Moreno Saavedra, Christian Bach
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Question mark in circle
Postprint: policy unknown
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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.