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Vývoj informačního zabezpečení podniků v Euroregionu Nisa


informatika_statistika

Vývoj informačního zabezpečení podniků v Euroregionu Nisa

Name and surname of author:

Klára Antlová, Dana Nejedlová, Jan Skrbek, Vladimíra Zádová

Year:
2003
Issue:
3
Keywords:
informační systémy, Internet, řízení dodavatelského řetězce, podnikatelské sítě, neuronové sítě, business intelligence, řízení podnikových zdrojů
DOI (& full text):
Anotation:
Development of IS/IT Assurance of Business Organizations in the Nisa Euroregion The Department of Informatics is cooperating with other departments of the Faculty of Economics of the Technical University of Liberec on the research of business organizations in the Czech part of the Nisa Euroregion. Our part of this research is business information systems and their development. The information systems are influenced by the globalization of economy, the global computer nets, and Internet. We would like to discover all changes in the enterprise resource planning (ERP) and other applications like customer relationship management (CRM), supply chain management (SCM), electronic commerce, or business intelligence. All our results will be analyzed and compared with older data obtained from our previous research. The methods of analysis will include statistics and neural networks.
Development of IS/IT Assurance of Business Organizations in the Nisa Euroregion
The Department of Informatics is cooperating with other departments of the Faculty of Economics of the Technical University of Liberec on the research of business organizations in the Czech part of the Nisa Euroregion. Our part of this research is business information systems and their development. The information systems are influenced by the globalization of economy, the global computer nets, and Internet. We would like to discover all changes in the enterprise resource planning (ERP) and other applications like customer relationship management (CRM), supply chain management (SCM), electronic commerce, or business intelligence. All our results will be analyzed and compared with older data obtained from our previous research. The methods of analysis will include statistics and neural networks.
Section:
informatika_statistika

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