LAPSE:2023.0912
Published Article

LAPSE:2023.0912
A Study of Performance Evaluation for Textile and Garment Enterprises
February 21, 2023
Abstract
Vietnam’s textile and garment enterprises make an important contribution to the country with the second largest export turnover. The existence and development of textile and garment enterprises have a significant influence on the socioeconomic development of Vietnam. Currently, Vietnam’s textile and garment industry is facing difficulties caused by the COVID-19 pandemic, along with competition from foreign direct investment (FDI) enterprises. Therefore, it is imperative for managers to assess competitiveness by measuring their past and current performance indicators. This study assesses the performance of Vietnam’s 10 textile and garment enterprises from 2017 to 2020 by combining the DEA−Malmquist productivity index (MPI) and epsilon-based measure (EBM) model. The proposed model considered three inputs (total assets, cost of goods sold, and liabilities) and two outputs (total revenue and gross profit). In addition to showing the best-performing companies from certain aspects during the period (2017−2020), the results show that the EBM method combined with the Malmquist model in the field can be successfully applied. This study is a reference for companies in the textile and garment industry to identify their position to improve their operational efficiency and overcome their weaknesses.
Vietnam’s textile and garment enterprises make an important contribution to the country with the second largest export turnover. The existence and development of textile and garment enterprises have a significant influence on the socioeconomic development of Vietnam. Currently, Vietnam’s textile and garment industry is facing difficulties caused by the COVID-19 pandemic, along with competition from foreign direct investment (FDI) enterprises. Therefore, it is imperative for managers to assess competitiveness by measuring their past and current performance indicators. This study assesses the performance of Vietnam’s 10 textile and garment enterprises from 2017 to 2020 by combining the DEA−Malmquist productivity index (MPI) and epsilon-based measure (EBM) model. The proposed model considered three inputs (total assets, cost of goods sold, and liabilities) and two outputs (total revenue and gross profit). In addition to showing the best-performing companies from certain aspects during the period (2017−2020), the results show that the EBM method combined with the Malmquist model in the field can be successfully applied. This study is a reference for companies in the textile and garment industry to identify their position to improve their operational efficiency and overcome their weaknesses.
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Keywords
data envelopment analysis, EBM, efficiency, Malmquist, textile and garment industry
Subject
Suggested Citation
Wang CN, Nguyen PTT, Wang YH, Dang TT. A Study of Performance Evaluation for Textile and Garment Enterprises. (2023). LAPSE:2023.0912
Author Affiliations
Wang CN: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan [ORCID]
Nguyen PTT: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan
Wang YH: Department of Information Management, Chihlee University of Technology, New Taipei City 220305, Taiwan
Dang TT: Department of Logistics and Supply Chain Management, Hong Bang International University, Ho Chi Minh 72320, Vietnam [ORCID]
Nguyen PTT: Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan
Wang YH: Department of Information Management, Chihlee University of Technology, New Taipei City 220305, Taiwan
Dang TT: Department of Logistics and Supply Chain Management, Hong Bang International University, Ho Chi Minh 72320, Vietnam [ORCID]
Journal Name
Processes
Volume
10
Issue
11
First Page
2381
Year
2022
Publication Date
2022-11-13
ISSN
2227-9717
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Original Submission
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PII: pr10112381, Publication Type: Journal Article
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LAPSE:2023.0912
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https://doi.org/10.3390/pr10112381
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[v1] (Original Submission)
Feb 21, 2023
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Feb 21, 2023
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