Urbancova H.,University of Economics and Management |
Snydrova M.,University of Economics and Management
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2017
In today's highly competitive environment, the goal of organizations is to recruit, retain and suficiently stimulate employees to give high quality performance, which may actually be achieved by a well-developed system of remuneration and a wide range of suitably selected employee benefits. The article aims to identify and evaluate important factors influencing the area of employee remuneration and benefits offered in organizations in the Czech Republic. The research was carried out through a questionnaire survey that involved selected organizations in the Czech Republic (n = 402). The obtained primary data were processed using descriptive and multidimensional statistics. The factors examined in relation to the employee remuneration and benefits include: industries and sectors of organizations; markets in which they operate; the size of organizations by the headcount; the existence or absence of the Human Resource Department. The results confirm that the organizations that want to maintain a good position in the labour market pay attention to their personnel marketing, which is also helped by the right (suitable) system of employee remuneration and fringe benefits thanks to which they retain their employees and can increase employee satisfaction and loyalty Employee benefits are exactly what may distinguish the organizations from their competitors in the labour market.
Jirousek R.,University of Economics and Management
International Journal of Approximate Reasoning | Year: 2012
When applying any technique of multidimensional models to problems of practice, one always has to cope with two problems: the necessity to represent the models with a "reasonable" number of parameters and to have sufficiently efficient computational procedures at one's disposal. When considering graphical Markov models in probability theory, both of these conditions are fulfilled; various computational procedures for decomposable models are based on the ideas of local computations, whose theoretical foundations were laid by Lauritzen and Spiegelhalter. The presented contribution studies a possibility of transferring these ideas from probability theory into Dempster-Shafer theory of evidence. The paper recalls decomposable models, discusses connection of the model structure with the corresponding system of conditional independence relations, and shows that under special additional conditions, one can locally compute specific basic assignments which can be considered to be conditional. © 2012 Elsevier Inc. All rights reserved.
Halova P.,University of Economics and Management
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2015
The paper deals with an analysis of economic factors which affect production and consumption of flower branch products. It answers scientic questions set on base of the fact that this branch started to get in a centers of attention and experiences growth again. The paper uses both the linear and the nonlinear regression models results of which are instrumental to recognition of practical problems in the monitored area. The most important surveyed factor influencing the production appears an amount of covered areas used for growing. The use of this production factor was decreasing till 2004; only in the following period growing areas have been enlarged. Despite the fact the decrease in covered space leads to an increase in production thanks to growing intensification of the production. Subsidies to farmers provided by the European Union in a form of direct payments SAPS affect the production positively, however, with a lower sensitivity than the intensively used growing area. Basic determinants of the flower consumption monitored in expenditures for the flowers are among others the price and the income. Because a significant part of the price is the value added tax the VAT rate was used as a representative explanatory variable. Its change will influence the consumption with a lower sensitivity than the variable of the income. In the last part of the paper, a behaviour of consumers divided in groups according to amount of income was analyzed. A saturation level was determined in the commodity flowers in consumers in a salaried employment in 2010.
Vnouckova L.,University of Economics and Management
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2016
As theory still lacks consistent definition of successful talent management, the praxis is characterized by dissimilar interpretations of the term talent. The lack of integrity of definitions appears to be the reason to analyse talent management practices. The article focuses on consistency of suggested practices in management of organisational strategies. The aim is to reveal current approach of Czech organisations towards talent management practices and to specify the main factors affecting employee development in talent management in the tested organisations. Bivariate and multivariate statistical methods and analyses were used to lower the number of possible single approaches and practices. Analyses formed valid factors, which influence and determine employee development as key principles of talent management: alignment with strategy, internal consistency, cultural embeddedness, management involvement, and employer branding through differentiation. Results identified and verified different ways of support of talented employees. Firstly, it is Talent management in its original shape (25.9%), secondly, Learning organisation based on common learning (23.5%) and the third factor name is Plain promises (12.4%). Organisations grouped in the factor only declare possibility of development, but do not practically use it.
Jirousek R.,University of Economics and Management |
Shenoy P.P.,University of Kansas
Communications in Computer and Information Science | Year: 2012
Valuation-based systems (VBS) can be considered as a generic uncertainty framework that has many uncertainty calculi, such as probability theory, a version of possibility theory where combination is the product t-norm, Spohn's epistemic belief theory, and Dempster-Shafer belief function theory, as special cases. In this paper, we focus our attention on conditioning, which is defined using the combination, marginalization, and removal operators of VBS. We show that conditioning can be expressed using the composition operator. We define decomposable compositional models in the VBS framework. Finally, we show that conditioning in decomposable compositional models can be done using local computation. Since all results are obtained in the VBS framework, they hold in all calculi that fit in the VBS framework. © 2012 Springer-Verlag.
Koudelka J.,University of Economics and Management
Agricultural Economics (Czech Republic) | Year: 2013
Products of organic agriculture have gained a significant attention among consumers. It creates a visible impact also on the products of conventional agriculture. This leads to the necessity to apply target marketing at the food resp. organic food markets. The objective of this article is to explore the possible approaches to the process of market segmentation at these consumer markets. The data of the Market & Media & Lifestyle were used. Variables of food consumer behaviour and lifestyle were especially selected. Three lines of market segmentation were inferred from the basic conceptual approaches: a priori segmentation, post hoc segmentation and forward segmentation. The data were analysed in several steps using multidimensional analyses. The results indicate a different marketing potential of the investigated approaches. A priori segmentation seems to be more proper for the purpose of the sales management. A broadly based post hoc segmentation should be useful when the concept of marketing communication is to be created. The elaborated forward segmentation approach will take place when the marketing strategy is evaluated.
Kutnohorska O.,Institute of Chemical Technology Prague |
Tomsik P.,University of Economics and Management
Agricultural Economics (Czech Republic) | Year: 2013
Organic foods are grown using the principles of organic agriculture that are produced, processed and packaged without using chemicals. They have been accepted due to their several perceived benefits over the conventional food. Health aspects of organic food are, in addition to the ethical, environmental, hedonic and "feel good" aspects, the main benefits that the consumers appreciate in organic food. This paper presents the results of a quantitative survey in the Czech organic food market. By using the factor analysis, it showed that the consumer perception of the health benefits of organic food can be viewed from several different angles. There were found three factors that explain 58.42% of variability, which are, based on their relationship with the original items, interpreted as the "knowledge and responsibility", "being aware, but lax" and "health is important, but not related to food". The first factor contains enough knowledge related to the health care, the conviction of the importance of food choice regarding health and the active interest and effort to do something for one's health. The second factor contains enough knowledge related to health care, but is lacking the interest to apply the knowledge and to do something for one's health, and the third factor contains the conviction that health is an important asset, but the perception of the connection between one's health and food is absent.
Jirousek R.,University of Economics and Management
Advances in Intelligent and Soft Computing | Year: 2011
This paper is one of many attempts to introduce graphicalMarkov models within Dempster-Shafer theory of evidence. Here we take full advantage of the notion of factorization, which in probability theory (almost) coincides with the notion of conditional independence. In Dempster-Shafer theory this notion can be quite easily introduced with the help of the operator of composition. Nevertheless, the main goal of this paper goes even further. We show that if a belief network (a D-S counterpart of a Bayesian network) is to be used to support decision, one can apply all the ideas of Lauritzen and Spiegelhalter's local computations. © 2011 Springer-Verlag Berlin Heidelberg.
Linhartova L.,University of Economics and Management |
Urbancova H.,Czech University of Life Sciences
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2012
One of the tools to eliminate the loss of knowledge of qualified staffthat holds knowledge critical for the given organisation is the application of the knowledge continuity conception which focuses in particular on the transfer of knowledge from the leaving employee to his/her successor. The objective of the article is to analyse use of employee mobility information in organisations and apply its results on knowledge continuity ensuring. The article has been processed based on the analysis of secondary sources, outcome synthesis and the evaluation of results of a questionnaire surveys. Knowledge continuity ensuring as an internal force can, together with the right employees, help the organisation to adapt more quickly to external conditions that the organisation practically cannot control. The advantages of knowledge continuity applying and its impact on employee mobility are mentioned as well. Summary, mobility is not usually managed in referred organisations and effort to objectively solve negative employee mobility have only minimum of referred managers. Thus, intervention to the system of mobility management is suggested together with greater emphasis of top management to already existing practices, which are very often ignored by line managers.
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SSH.2013.1.1-1 | Award Amount: 3.03M | Year: 2014
SIMPACT advances understanding of social innovations economic dimensions, creating new concepts, models and instruments for policy makers, innovators, investors and intermediaries. It systematically investigates how social innovations can enable the most vulnerable in society to become economic assets, integrating critical analysis of current and previous work with future-oriented methodologies, new actionable knowledge and continual stakeholder participation. SIMPACTs multidisciplinary mixed-method approach advances knowledge and the state of the art by (i) elaborating a theoretical model of the economic dimensions of social innovation throughout its lifecycle; (ii) generating new empirical knowledge on the economic dimensions through rich, theoretically informed analysis of successful and less successful cases; (iii) analysing drivers and barriers shaping the economic impact of social innovations, and levers for their scaling and diffusion; (iv) developing indicators to measure social innovations and tailored methods to evaluate social and economic impact; (v) enhancing modes of public policy production, instruments and guidelines; (vi) generating foresight knowledge through agent-based modelling and scenario building. SIMPACT integrates theoretical, empirical and actionable knowledge to create evidence-based approaches to business development, public policy and research. A participatory research approach actively engages policy makers, innovators, investors and intermediaries of vulnerable groups. Action learning, indicator labs and stakeholder experiments facilitate processes of co-creation, stimulating shared learning, strengthening practitioner knowledge and enhancing conceptualisation of the economic base. Partners understanding of welfare regime diversity, including New Member State specificities, will ensure tailored, actionable deliverables. Eight high profile associate partners will help ensure the success of SIMPACTs dissemination activities.