Jan Ministr

The Determinants of IT Adoption in SMEs in the Czech-Polish Border Areas

This paper deals with the factors affecting an adoption of information technology (IT) in micro, small and medium enterprises (SMEs) within the transition economies of the Czech–Polish region. The basic determinants of IT adoption which were identified include data sources, the use of function modules in information systems, the required IT properties and the way IT operations are implemented. The results of the questionnaire survey carried out in 2012 are evaluated by the asymmetric dependence testing and estimation of ordinal regression models. The paper describes the impact of selected determinants on IT adoption. The analysis results show a different effect of determinants in relation to the size of an economic entity (individual SME segments). When we are aware of the importance of these indicators, it can help us to improve the understanding, monitoring and support of the further development of IT adoption in SMEs as an important condition for the successful economy transformation.

Academic-Industrial Cooperation in ICT in a Transition Economy – Two Cases from the Czech Republic

First, the paper presents the position of the ICT sector in the Czech Republic (CZ) as a transition economy; it pays particular attention to the ICT industry, university studies, research, and development. Then, it focuses on academic-industrial cooperation (AIC) in the CZ. As economic conditions in the CZ are different from the traditional developed economies, the AIC might not necessarily exhibit the same characteristics. Thus, the paper tries to identify potential differences on two concrete cases of two schools (faculties) at two Czech universities. The research is based on interviews with companies and stakeholders from the participating faculties. In comparison with the findings known from the literature on this issue in developed countries, the interviews revealed some differences such as a more positive attitude toward engagement of academicians in private companies and further education at universities. Specific local issues have been discovered such as small volumes of cooperation, not enough flexible researchers, and lacking business orientation at the universities.

Nástroje pro automatické rozpoznávání entit a jejich vztahů v nestrukturovaných textech

Clanek se zabýva specifiky třivrstve architektury softwaroveho systemu, který využiva automaticke nastroje pro rozpoznavani a identifikaci osob, objektů a vztahů v nestrukturovaných datech. Datovou vrstvu tvoři modul pro pořizovani dat a modul pro spravu a vyhledavani v datech. Aplikacni vrstva je tvořena samostatnými moduly, ktere lze kombinovat pro potřeby konkretnich vysetřovacich policejnich uloh. Prezentacni vrstva zpřistupňuje výsledky analýz. Celkove řeseni demonstrovano na vyvijenem systemu ARIO, ktere je aplikovatelne pro řadu statnich i mezinarodnich instituci, ale i soukromých subjektů. Klicova slova: Nestrukturovana data, Monitorovani internetu, Identifikace objektů a vztahů, Policejni informacni system, Plugin. DOI: https://doi.org/10.18267/j.aip.54