Searching Factors of Corporate Competitiveness Using Statistical Pattern Recognition Techniques
| Authors | |
|---|---|
| Year of publication | 2012 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 8th European Conference on Management Leadership and Governance |
| MU Faculty or unit | |
| Citation | |
| Field | Management and administrative |
| Keywords | Factors of Corporate Competitiveness; Feature Selection; Statistical Pattern Recognition |
| Description | The paper discusses the methodology and current results of identifying factors of competitiveness of companies in the Czech Republic, as a result of inter-disciplinary cooperation between the Centre for Research of Competitiveness and researchers in the field of statistical pattern recognition and machine learning. The main task is to verify the hypothesis that there is a significant mutual dependency between competitiveness of companies (characterized here by their financial performance) and selected characteristics describing these companies. Such characteristics can be regarded as the factors of competitiveness. The task of determining these factors has to be solved in the multidimensional space, therefore the feature selection methodology selecting a group of the most informative characteristics appears to be a suitable and promising approach. The paper presents a brief introduction to the used methodology in context of the broad field of statistical pattern recognition and the results achieved in the course of verifying the above mentioned hypothesis. |
| Related projects: |