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The article is concerned with voting indicators in the European Union. The first chapter constructs a model of voting power & defines four indicators: A. Simple relative power, B. Shapley-Shubik index, C. Banzhaf index, D. Coleman index. The second chapter defines data: the voting structure according the Nice Treaty & nine algorithms -- variants of the EU enlargement. The third chapter summarizes empirical results. The fourth chapter discusses statistical relations between voting indicators. The fifth chapter brings conclusions. 11 Tables, 29 References. Adapted from the source document.

Corporate competitiveness has been an attention-attracting phenomenon for decades. Nonetheless, this publication aims to deepen its understanding. First and foremost, and as a major contribution, it brings the operationalization of the concept of competitiveness. However, its principal contribution is an application of the sequential forward flow search algorithm together with the nearest neighbors' classifier, the joint usage of which has managed to reduce potential competitiveness factors to the most informative ones, i.e. those that can in their combinations best discriminate between the less competitive and more competitive companies. Furthermore, the publication contains preliminary results of the research which means that it identifies possible competitiveness factors in Czech companies