The paper deals with the dynamic simulation of possible development scenarios of small farmers. The model is based on the official data sources but also on the qualitative research of small farmers. The modelling structure reflects the specifics of the examined field and personal and social specifics of small farmers. For the purposes of the analysis, the business model describes the value creation in the small farms, thereafter the model is extended into dynamic simulation model and the selected scenarios of development are simulated. The analysis shows the impact of the current setup in the field. Despite the paper contains the optimistic scenarios, simple change of parameters leads to unsustainable situation. The pessimistic scenarios grow from realistic conditions when parameters reflects the recent period settings. This clearly depicts the influence of weak market position of the farmers and advocates the diversification tendencies.

The subject of this diploma thesis was monitoring damage of the natural regeneration of trees caused by browsing even-toed ruminant animals near Starý Hrozenkov. The monitoring was carried out in 2013 on fourteen plots of rectangular shape by methodology ČERMÁK, MRKVA (2003). Twelve species of trees have been found, while the most was represented by the beech Fagus sylvatica, followed by sycamore Acer pseudoplatanus and Norway spruce Picea abies. The most damaged tree species was silver birch Betula pendula with damage of 74%, but this tree species made a minimal representation. Ash Fraxinus excelsior was the least damaged tree species -- 22%, Larch and pine were without damage. For the sake of dynamics, the nine plots were measured once again. The growth of sycamore was slowed down.

No description available.

No description available.

No description available.

No description available.

No description available.

The main goal and intended contribution of the presented doctoral dissertation is to define the most important principles for the usage of the Dynamic Balanced Scorecard (DBSC) as a practical guide for learning organization. The Dynamic Balanced Scorecard is based on the fundamental idea that the conventional (static) Balanced Scorecard (BSC) is not able to encompass the contemporary dynamic environment and hence is not an appropriate tool for any strategic management system. At the beginning of the dissertation, the thesis is dedicated to description of the BSC limitations. Moving further, the thesis establishes a practical guide described in three stages: ? the main principles of DBSC, ? the methodology of implementing DBSC, ? the working model. The model was developed in a real company and is now being used in pilot operation. Furthermore the model contains measurements that help demonstrate the transformation from a traditional organization to a learning organization. I did not find, based on questionnaires collected from 110 companies and my experience in a consulting company, any examples of DBSC being currently used in the Czech Republic. The original hypothesis about non-use of any dynamic model for strategic management system was confirmed in the empirical part of the dissertation.

Práce je zmapována problematika systémových archetypů, včetaně jejich popisu. Dále je v práci řešena simulace příkladu z hospodářské praxe a to konflikt dopravních společností Asiana s.r.o. a Student Agency s.r.o. Nakonec jsou v práci provedeny simulace různých politik chování firem.

Thesis deals with evaluation of growing up of maize in dependence on different kind of soil tillage in area around Polička. Experiment was performed in year 2015. In literary review is described technology of maize cultivation and analysed issues of soil tillage. As practical research we assessed growing up of maize in five variants of soil tillage - direct sowing into flail with digestate, direct sowing into flail without digestate, low rotivation, deep rotivation and ploughing in spring. Results of monitoring showed that maize on land processed with deep rotivation grew up the best, in the given soil-climatic conditions.