Template-Type: ReDIF-Article 1.0
Author-Name: Jan HRON
Author-Workplace-Name: Department of Management, Faculty of Economics University of Life Sciences, Prague, Czech Republic
Author-Name: Tomáš MACÁK
Author-Workplace-Name: Department of Management, Faculty of Economics University of Life Sciences, Prague, Czech Republic
Title: Forecast of demand through the differential description of their effects
Abstract: This demand planning method is based on the Porter's competitive influences of the brand. Concretely, it is based on the deterministic formulation of some particular factors which are influencing the demand in time. It is not necessary to know the retrospective demand to predict the future demand. That is the highest advantage of this method.
Keywords: demand prediction, firm dynamics, competitors influence, customers influence, substitutes influence and parameters of influence, utility
Journal: Agricultural Economics
Pages: 149-158
Volume: 56
Issue: 4
Year: 2010
DOI: 10.17221/25/2010-AGRICECON
File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/25/2010-AGRICECON.html
File-Format: text/html
X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201004-0001.txt
Handle: RePEc:caa:jnlage:v:56:y:2010:i:4:id:25-2010-AGRICECON

Template-Type: ReDIF-Article 1.0
Author-Name: Ivana TICHÁ
Author-Workplace-Name: Department of Management, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic
Title: Organizational capabilities as a source of competitive advantage: a conceptual framework
Abstract: Organizational capabilities are recognized in the resource-based view strategy literature as one of the primary source of competitive advantage. This article reviews models to analyse organizational capabilities to provide framework for wider adoption of the concept of organizational capabilities both by researchers and practitioners.
Keywords: organizational capability, competitive advantage, resource-based view
Journal: Agricultural Economics
Pages: 159-162
Volume: 56
Issue: 4
Year: 2010
DOI: 10.17221/30/2010-AGRICECON
File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/30/2010-AGRICECON.html
File-Format: text/html
X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201004-0002.txt
Handle: RePEc:caa:jnlage:v:56:y:2010:i:4:id:30-2010-AGRICECON

Template-Type: ReDIF-Article 1.0
Author-Name: Miroslav SVATOŠ
Author-Workplace-Name: Department of Economics, Faculty of Economics and Management, Czech University of Life Science, Prague, Czech Republic
Author-Name: Luboš SMUTKA
Author-Workplace-Name: Department of Economics, Faculty of Economics and Management, Czech University of Life Science, Prague, Czech Republic
Title: Development of agricultural foreign trade in the countries of Central Europe
Abstract: This paper analyses the development of agricultural foreign trade in Austria, Hungary and the Czech Republic with the aim of uncovering the changes that have impacted the Central European agricultural trade over the ten year period (1999-2008). It issues from the results of the analysis of agricultural trade in the aforementioned countries, which has changed dramatically in terms of the commodity structure, the territorial structure and primarily the value structure. The main changes to have caused most of the changes to the individual characteristics of agricultural foreign trade in the particular countries under analysis are the process of the EU enlargementy, the adoption of obligations to ensue from the EU membership and the concentration in the internal market of the EU countries. We can see the actual changes in the commodity and territorial structure of the trade carried out in the individual countries under analysis. The changes which have occurred resulted in a dominant share of the member countries of the EU 27 in the agricultural trade of the individual countries under analysis.
Keywords: Czech Republic, Hungary, Austria, agricultural trade, development, comparison, trend
Journal: Agricultural Economics
Pages: 163-175
Volume: 56
Issue: 4
Year: 2010
DOI: 10.17221/22/2010-AGRICECON
File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/22/2010-AGRICECON.html
File-Format: text/html
X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201004-0003.txt
Handle: RePEc:caa:jnlage:v:56:y:2010:i:4:id:22-2010-AGRICECON

Template-Type: ReDIF-Article 1.0
Author-Name: Libuše SVATOŠOVÁ
Author-Workplace-Name: Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic
Title: Comparison of demographic development in the CR and the EU countries
Abstract: Demographic development of human society is influenced by economic and political changes. The demographic development of most EU countries, including the Czech Republic, is characterized by the change of the age structure, the increase in the share of the third biological generation and thereby by aging of the population. These changes do not proceed with the same intensity in all countries; there are differences in the development, both among the EU countries and also the regional ones in the frame of the country. The paper presents an evaluation of the demographic development in the EU countries and further in the particular CR regions. The aim is to judge the regional differentiation of this development and to find an analogy of the EU countries.
Keywords: demographic development, structure of age, comparison of countries and regions
Journal: Agricultural Economics
Pages: 176-182
Volume: 56
Issue: 4
Year: 2010
DOI: 10.17221/24/2010-AGRICECON
File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/24/2010-AGRICECON.html
File-Format: text/html
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Handle: RePEc:caa:jnlage:v:56:y:2010:i:4:id:24-2010-AGRICECON

Template-Type: ReDIF-Article 1.0
Author-Name: Lukáš ČECHURA
Author-Workplace-Name: Department of Agricultural Economics, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic
Title: Estimation of technical efficiency in Czech agriculture with respect to firm heterogeneity
Abstract: This paper deals with the estimation of technical efficiency in Czech agriculture with respect to significant firm heterogeneity. Two main questions are elaborated. The first concerns the choice of a proper model specification, distinguishing between technical inefficiency and firm heterogeneity. The second question is related to the level of technical efficiency. The results show that only those model specifications allowing for the capture of time-invariant firm heterogeneity may provide consistent estimates of technical efficiency. Specifically, the Random Parameters family of models is a superior specification for the estimation of technical efficiency in the analysis. Moreover, technical inefficiency is a significant phenomenon in Czech agriculture. The average level of technical efficiency is around 90% for agricultural companies.
Keywords: firm heterogeneity, technical efficiency, SFA (Stochastic Frontier Analysis), agricultural companies
Journal: Agricultural Economics
Pages: 183-191
Volume: 56
Issue: 4
Year: 2010
DOI: 10.17221/23/2010-AGRICECON
File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/23/2010-AGRICECON.html
File-Format: text/html
X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201004-0005.txt
Handle: RePEc:caa:jnlage:v:56:y:2010:i:4:id:23-2010-AGRICECON

Template-Type: ReDIF-Article 1.0
Author-Name: Shady ALY
Author-Workplace-Name: Department of Information Engineering, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic
Author-Name: Ivan VRANA
Author-Workplace-Name: Department of Information Engineering, Faculty of Economics and Management, Czech University of Life Sciences, Prague, Czech Republic
Title: Approaches to assess the group consensus in Yes-or-No type experts' group decision making
Abstract: Group consensus indicators provide an important insight and information about how to combine a group of expert judgments. This paper is concerned with the development of a set of indicators to be used in analyzing the group consensus in evaluating Yes-or-No type's decision problems. The opinions of the experts are in the form of a real number between 0 and 10 expressing the degree of answers Yes or No (0 for sharp No and 10 for sharp Yes). Two methods for obtaining the consensus indicators are developed. The first of them is based on configuring the one previously developed by (Ngwenyama et al. 1996), which is reviewed in this paper. The other one is an improved one that does not rely on the existence of the known or desired similarity significance levels or thresholds.  A new measure of consensus is introduced, the standard deviation. An experiment is conducted to get acquainted with the relationship between the standard deviation of group decisions and one of the developed group consensus indicators, which measures the agreement level within the group of decisions. This research is intended to develop more consistent indicators and measures group consensus and position of each individual relative to others for Yes-or-No type group decisions. This is aimed at the exploitation of such important and relevant consensus information for developing a new consensus-based heuristic algorithm to combine the multiple experts' judgments or to be able to select the adequate combining criteria. Finally, the presented approach could be usefully utilized in critical "Yes - or - No" GDM problems in business and industry.
Keywords: group decision making, analyzing consensus, binary decision making
Journal: Agricultural Economics
Pages: 192-199
Volume: 56
Issue: 4
Year: 2010
DOI: 10.17221/97/2009-AGRICECON
File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/97/2009-AGRICECON.html
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X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201004-0006.txt
Handle: RePEc:caa:jnlage:v:56:y:2010:i:4:id:97-2009-AGRICECON