A Two-Stage DEA Model for Evaluating the Efficiency of SMEs with Multi-Year Accounting Data
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
A Two-Stage DEA Model for Evaluating the Efficiency of SMEs with Multi-Year Accounting Data
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
6
Pages from-to
62-68
Publisher name
The Czech Society for Operations Research
Place of publication
Ústí nad Labem
Event location
Mathematical Methods in Economics (MME 2024)
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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