Application of CCR and SBM Models in Measuring the Efficiency of IT Clusters in the Czech Republic and Slovakia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F23%3A00011554" target="_blank" >RIV/46747885:24310/23:00011554 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2023.vse.cz/mme_2023_proceedings.pdf" target="_blank" >https://mme2023.vse.cz/mme_2023_proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of CCR and SBM Models in Measuring the Efficiency of IT Clusters in the Czech Republic and Slovakia

Popis výsledku v původním jazyce

This paper analyses the technical efficiency of members of two cluster organizations operating in the Czech Republic and Slovakia. There are many methods of measuring the efficiency of companies. This paper focuses on the Charnes, Cooper, Rhodes, and Slack Based Measure models, comparing the efficiency analysis results calculated by the two aforementioned methods. The presented research examines four research samples consisting of member companies in the IT Cluster and Košice IT Valley in 2013 and 2020. Both clusters were created as a result of a cluster initiative and brought together companies from the ITC sector. The firms that form the core of the above-mentioned clusters are active in sectors with the following statistical classifications: NACE 620100, 620200, and 620900. This paper compares the results obtained using both methods.

Název v anglickém jazyce

Application of CCR and SBM Models in Measuring the Efficiency of IT Clusters in the Czech Republic and Slovakia

Popis výsledku anglicky

This paper analyses the technical efficiency of members of two cluster organizations operating in the Czech Republic and Slovakia. There are many methods of measuring the efficiency of companies. This paper focuses on the Charnes, Cooper, Rhodes, and Slack Based Measure models, comparing the efficiency analysis results calculated by the two aforementioned methods. The presented research examines four research samples consisting of member companies in the IT Cluster and Košice IT Valley in 2013 and 2020. Both clusters were created as a result of a cluster initiative and brought together companies from the ITC sector. The firms that form the core of the above-mentioned clusters are active in sectors with the following statistical classifications: NACE 620100, 620200, and 620900. This paper compares the results obtained using both methods.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

50201 - Economic Theory

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů