A Two-Stage DEA Model for Evaluating the Efficiency of SMEs with Multi-Year Accounting Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A100965" target="_blank" >RIV/60460709:41110/24:100965 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2024.ujep.cz/wp-content/uploads/2024/10/MME_2024_Conference_Proceedings-Final.pdf" target="_blank" >https://mme2024.ujep.cz/wp-content/uploads/2024/10/MME_2024_Conference_Proceedings-Final.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A Two-Stage DEA Model for Evaluating the Efficiency of SMEs with Multi-Year Accounting Data

Popis výsledku v původním jazyce

This study proposes extending the two-stage Data Envelope Analysis (DEA) model to assess the efficiency of small and medium enterprises (SMEs). The model leverages multi-year accounting data and incorporates a temporal dimension to capture the dynamic nature of SME operations. The primary focus is on evaluating these enterprises’ stability and efficiency. The proposed model decomposes the evaluation process into two sub-stages: Stage 1 focuses on human capital efficiency, and Stage 2 assesses business efficiency. Outputs from Stage 1 serve as inputs for Stage 2, reflecting the sequential nature of these processes. These phases influence each other, even in different periods. Data from 2020 to 2022 are used. This approach allows for a more comprehensive evaluation by capturing the effectiveness of human capital utilisation (Stage 1) and its subsequent translation into business efficiency (Stage 2). The analysis will categorise SMEs into efficient and inefficient groups, further delving into efficiency levels at each stage. By examining the relationships between human capital, business skills, and overall efficiency, the study aims to identify key drivers of efficiency in SMEs. Finally, based on the findings, the research proposes practical recommendations for enhancing SME operations and developing effective business support mechanisms.

Název v anglickém jazyce

A Two-Stage DEA Model for Evaluating the Efficiency of SMEs with Multi-Year Accounting Data

Popis výsledku anglicky

This study proposes extending the two-stage Data Envelope Analysis (DEA) model to assess the efficiency of small and medium enterprises (SMEs). The model leverages multi-year accounting data and incorporates a temporal dimension to capture the dynamic nature of SME operations. The primary focus is on evaluating these enterprises’ stability and efficiency. The proposed model decomposes the evaluation process into two sub-stages: Stage 1 focuses on human capital efficiency, and Stage 2 assesses business efficiency. Outputs from Stage 1 serve as inputs for Stage 2, reflecting the sequential nature of these processes. These phases influence each other, even in different periods. Data from 2020 to 2022 are used. This approach allows for a more comprehensive evaluation by capturing the effectiveness of human capital utilisation (Stage 1) and its subsequent translation into business efficiency (Stage 2). The analysis will categorise SMEs into efficient and inefficient groups, further delving into efficiency levels at each stage. By examining the relationships between human capital, business skills, and overall efficiency, the study aims to identify key drivers of efficiency in SMEs. Finally, based on the findings, the research proposes practical recommendations for enhancing SME operations and developing effective business support mechanisms.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 42nd International Conference on Mathematical Methods in Economics

ISBN

978-80-7561-482-7

ISSN

2788-3965

e-ISSN

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Počet stran výsledku

6

Strana od-do

62-68

Název nakladatele

The Czech Society for Operations Research

Místo vydání

Ústí nad Labem

Místo konání akce

Mathematical Methods in Economics (MME 2024)

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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