| Abstract (ENG): |
Corporate Performance Management (CPM) is a
management concept based on performance measures. These
measures are supplied by Business Intelligence (BI), which
transformed information technology in companies from data
storage solutions towards decision support systems. It is
believed that BI enhances CPM and that BI needs CPM for a
purposeful commitment. To gain a detailed insight in the
relationship between these two constructs a Data Mining
approach is used. Data Mining is a data driven statistical
approach for knowledge discovery. In comparison to commonly used Information System research approaches, like Structural Equation Modelling, in Data Mining no hypothesis have to be developed beforehand. Therefore, otherwise undiscovered patterns, information and hypothesis embedded in a given dataset can be discovered. As an example, Association Rule Discovery has been applied to a questionnaire based dataset investigating the relationship between BI and CPM. The results of the Data Mining approach show indeed more detailed information about the connection of BI and CPM than the usually applied research methods Exploratory Factor Analysis and Structural Equation Modelling. |
| Citation: |
Hartl, Karin and Jacob, Olaf
(2016)
Using Data Mining Techniques for Information System Research Purposes - An Examplary Application in the Field of Business Intelligence and Corporate Performance Management Research.
In: (Proceedings of the) DATA ANALYTICS 2016, The 5th International Conference on Data Analytics, October 9 - 13, 2016, Venice, Italy, pp. 80-86.
ISBN 9781612085104
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