Browsing by Author "Štichhauerová Eva"
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- ItemApplication of Linear Programming Method on Selected Examples from the Enterprises(Trans Tech Publications, 2014-01-01) Turčok Lukáš; Šlaichová Eva; Štichhauerová Eva
- ItemAudit of the Corporate Culture in Preciosa, a.s.(2015-01-01) Maršíková Kateřina; Zbránková Magdalena; Štichhauerová Eva; Macháčková Vendula; Šlaichová Eva; Hešnaurová Ladislava
- ItemCase Study Solution of Hazardous Waste Management(MAGNANIMITAS, 2014-01-01) Štichhauerová Eva; Furišová Martina; Šlaichová Eva
- ItemComparison of the Significance of Clusters for Increasing Business Performance(Tomas Bata University in Zlin, 2020-01-01) Štichhauerová Eva; Žižka Miroslav; Pelloneová Natalie
- ItemComparison of the Trends in the Factors of Financial Performance of Companies in Czech Clusters(Vysoká škola PRIGO, 2020-01-01) Štichhauerová Eva; Žižka Miroslav
- ItemCompetitiveness Evaluation of Czech Republic Regions with Data Envelopment Analysis(Gaudeamus, University of Hradec Králové, 2017-01-01) Pelloneová Natalie; Štichhauerová Eva
- ItemDEA Window Analysis of Engineering Industry Performance in the Czech Republic(Czech University of Life Sciences Prague, 2021-01-01) Štichhauerová Eva; Žižka Miroslav
- ItemEarnings of Higher Education Graduate´s at Czech Labour Market and its Perspectives(Vysoká škola báňská -- Technická univerzita v Ostravě, 2011-01-01) Štichhauerová Eva; Maršíková Kateřina
- ItemThe Effect of Clusters on the Innovation Performance of Enterprises: Traditional vs New Industries(Entrepreneurship and Sustainability Center, 2018-01-01) Žižka Miroslav; Hovorková Valentová Vladimíra; Pelloneová Natalie; Štichhauerová EvaThe present paper assesses the effect of the formation of cluster organisations on the innovation performance of member enterprises in two different industries – the traditional textile manufacturing industry and the new nanotechnology industry. Innovation performance is explored using Data Envelopment Analysis in two phases. In the first phase, it examines the ability of enterprises to transform resources (labour force, long-term capital, intellectual capital) into registered industrial property rights: patents, utility models, industrial designs, and trademarks. In the second phase, it assesses the ability of enterprises to commercialise industrial property rights and generate profits. Innovation performance then integrates both phases. In each industry, two samples were assessed: member enterprises of cluster organisations, and enterprises that operate in the same industry and region but are not members of a cluster organisation. The results of the research show that the existence of a cluster organisation has a greater effect on innovation performance in the traditional textile manufacturing industry. In contrast, in the new nanotechnology industry, the existence of a cluster organisation did not prove to have any significant effect on innovation effectiveness. In this industry, the existence of a cluster organisation had only a partial effect related to better industrial property rights commercialisation. Research shows that the type of industry is an important factor in the innovation performance of clustered enterprises.
- ItemAn Efficiency Assessment of Selected German Airports Using the DEA Model(Tomas Bata University in Zlin, 2019-01-01) Štichhauerová Eva; Pelloneová Natalie
- ItemEfficiency Assessment of Urban Public Transport Operators: A Case of the Slovak Republic(MatfyzPress, 2018-01-01) Pelloneová Natalie; Štichhauerová Eva
- ItemEvaluating the Efficiency of Lean Management Projects Using Data Envelopment Analysis(2018-01-01) Pelloneová Natalie; Štichhauerová EvaThis paper describes approach to evaluate and compare efficiency of lean management projects, using a set of techniques known as Data Envelopment Analysis. DEA is a non-parametric linear programming method used to the efficiency evaluation of decision making units. Lean methods have been widely used as a tool for improving operational performance and also have been successfully implemented in many manufacturing and non-manufacturing organizations. This paper aims to develop a mathematical model to evaluate the efficiency of lean management projects. Paper provides the identi?cation of important inputs and outputs for projects that are then analysed using DEA. Working with planned indicators values, this model helps to identify one or more projects that result in the maximum bene?t to the organization. Using the real indicators values after implementation of a project, it can help to determine how the project was successful as compared with similar implemented projects.
- ItemEvaluation of the Efficiency of Public Support for Cluster Organizations in the Czech Republic(Walter de Gruyter, 2019-01-01) Žižka Miroslav; Hovorková Valentová Vladimíra; Pelloneová Natalie; Štichhauerová Eva
- ItemThe Evaluation and Selection of Suppliers: DEA Approach(University of South Bohemia in České Budějovice, 2019-01-01) Pelloneová Natalie; Štichhauerová Eva
- ItemEvaluation of Financial Performance of the Textile Industry Companies in the Hradec Králové region(Vydavatelství ZČU v Plzni, 2018-01-01) Pelloneová Natalie; Štichhauerová Eva
- ItemEvaluation of Quality of Life in MEP Liberec Using CCR-O Model of Data Envelopment Analysis(Technical University of Liberec, 2017-01-01) Pelloneová Natalie; Štichhauerová Eva
- ItemEvaluation of the questionnaire survey "Municipalities 2016"(2017-01-01) Rydvalová Petra; Štichhauerová Eva; Popelínský Lubomír
- ItemThe family business in the municialities of the Czech Republic(Technická univerzita v Liberci, 2017-01-01) Šmída Jiří; Rydvalová Petra; Štichhauerová Eva
- ItemGender Issues (Comparison of Advanced Market Economies and the Czech Republic)(Technická univerzita v Liberci, 2010-01-01) Řehořová Pavla; Štichhauerová Eva; Jokl Jinřich
- ItemA Good Practice Guide To Managing Human Resources in Regional SMEs(University of Huddersfield Press, 2019-01-01) Maršíková Kateřina; Moš Ondřej; Rydvalová Petra; Štichhauerová Eva; Komulainen Ruey