Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA-Malmquist Technology
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The DEA methodology is flexible and accurate in analyzing the relationship between multiple outputs and inputs.
“This study uses the DEA methodology for efficiency analysis because of its flexibility and accuracy in analyzing the relationship between multiple outputs and inputs”
From Does the Efficiency of a Firm's Intellectual Capital and Working Capital Management Affect Its Performance? (2024) · cites this paper as Habib & Mourad, 2022
The Introduction and Data and Methodology sections describe DEA as versatile and able to capture relationships between multiple inputs and outputs, supporting the flexibility portion. They call it a powerful benchmarking technique, but do not establish its accuracy in analyzing those relationships; the model-validation discussion does not make that broader claim. Page numbers are unavailable in our copy. (LLM, conf=0.84)
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- Authors
- Habib, A. M., & Mourad, N.
- Affiliations
- American University in the Emirates (AE)
- Corresponding author
- Habib, Ahmed Mohamed
- Venue
- Operations Research Forum
- Published
- 2022-07-22
- Volume
- 3
- Issue
- 3
- ISSN
- 2662-2556 (ISSN-L)
- PMC
- PMC9307712
- OpenAlex
- W4286685667
- Cited by
- 49
- References
- 58
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 15 · 2023: 22 · 2022: 1
- FWCI
- 19.49
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Operations Research Forum (publishedVersion)
- PubMed Central (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Accounting › Working Capital and Financial Performance
- Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
- Social Sciences › Business, Management and Accounting › Management Information Systems › Supply Chain and Inventory Management
- Keywords
- working capital efficiency, Malmquist productivity index, data envelopment analysis, COVID-19 pandemic impact, total factor productivity, scale efficiency, Tobit model, firm performance
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