M19 - Business Administration: OtherNávrat zpět

The paper aims at the issue of perception of the factors of implementation of the pre- and post-merger-and-acquisition process. The original methodologies aDM&A (ante-Determinants of Mergers and Acquisitions) and pDM&A (post-Determinants of Mergers and Acquisitions) were verified on the basis of an analysis of the views of managers from 120 companies. The factor analysis of the data obtained enabled extraction of the key factors of implementation of the pre- and post-merger-and-acquisition process. The paper also presents the basic parameters of the methodology aDM&A Eigenvalues and pDM&A Eigenvalues, the percentage of the variance explained, Cronbach's alpha, inter-correlations of the extracted factors, and the results of the analysis of differences in the assessment of the extracted factors by managers. The extracted factors were Synergy potential, Business environment, Investment benefit, and Financial management in the context of the pre-merger-and-acquisition process, and Unification strategy, Business management, Internal business environment, Business identity, and Strategic intent in the post-merger-and-acquisition process.

This article deals with business performance. The aim of this article is to identify performance factors, ie. factors that should have an impact on performance in long-term horizon, analyze these factors and their relationships, and based on this analysis to create a complex model of business performance. First sub-goal is to identify internal factors affecting the performance of companies in the new economy and next sub-goal is to verify the influence of the potential factors of performance on the business performance in terms of both market and financial performance in the manufacturing companies in the Czech Republic. It means to confirm or refute the findings on the impact of these factors on business performance of the companies in the Czech Republic. The article examines the importance of quality, human capital, customer capital and information technology on business performance through a questionnaire survey and the use of statistical methods.