Application of the Two-Stage DEA Model in SMEs Business

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96733" target="_blank" >RIV/60460709:41110/23:96733 - isvavai.cz</a>

Result on the web

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

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Application of the Two-Stage DEA Model in SMEs Business

Original language description

This study aims to investigate the efficiency of SMEs. First, we introduce a new two-stage DEA model for evaluating firm performance with multi-year variables to measure efficiency based on accounting data in model development. It is primarily concerned with the stable operation of enterprises. The process is divided into two sub-processes: efficiency of human capital (first stage) and efficiency of business (second stage). The outputs of the first stage are the inputs for the second stage. These variables are identified as stocks, investments and economic results of 2020. The external inputs (inputs of the first stage) are also variables from 2020, but the final outputs (outputs of the second stage) are from 2021, which can describe the natural processes in SMEs. The results divide businesses into efficient and inefficient (both overall and in individual phases). Based on these results, the relationships between human capital, business skills and performance are examined. The plan provides recommendations for better functioning and business support in the SME sector. This research aims to help hockey clubs, managers, and coaches evaluate the efficiency of their players using data envelopment analysis and regression analysis. This research evaluates the technical performance of hockey players using DEA models, ranks the best players, tries to reveal the primary sources of player inefficiency, and uses regression to analyse the change of trend in hockey to evaluate better the future development of the efficiency of hockey players. The models are empirically applied to NHL players over several seasons to see the efficiency gains. The evaluation used in this paper attempts to incorporate greater objectivity into decision-making. It may be an essential step in developing a systematic methodology for evaluating hockey players in the future. However, the results of this first analysis are only visible in the realm of DEA and the possibility of assessing the effectiveness of hockey players. Further developments in regression have yet to identify specific areas of training opportunities.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10102 - Applied mathematics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

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

Article name in the collection

Proceedings of the 41st International Conference on Mathematical Methods in Economics

ISBN

978-80-11-04132-8

ISSN

2788-3965

e-ISSN

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Number of pages

6

Pages from-to

141-146

Publisher name

Czech Society for Operations Research

Place of publication

Praha

Event location

Prague

Event date

Jan 1, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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