Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology
In this study, we analyze the efficiency of working capital management (WCME) for Gulf companies before and during the coronavirus crisis, then explore the influence of the coronavirus crisis on WCME. This study uses several techniques to achieve its goals, including the Malmquist index (MI), data e...
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2022
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| Online Access: | https://bspace.buid.ac.ae/handle/1234/3092 https://doi.org/10.1007/s43069-022-00155-7. |
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| _version_ | 1862980620125208576 |
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| author | Mohamed Habib, Ahmed |
| author2 | Mourad, Nahia |
| author2_role | author |
| author_facet | Mohamed Habib, Ahmed Mourad, Nahia |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohamed Habib, Ahmed Mourad, Nahia |
| dc.date.none.fl_str_mv | 2022-07-22 2025-05-21T17:00:58Z 2025-05-21T17:00:58Z |
| dc.identifier.none.fl_str_mv | Habib, A.M. and Mourad, N. (2022) “Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA-Malmquist Technology,” Operations Research Forum, 3(3). 2662-2556 https://bspace.buid.ac.ae/handle/1234/3092 https://doi.org/10.1007/s43069-022-00155-7. |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | Springer |
| dc.relation.none.fl_str_mv | Operations Research Forumv3 n3 (20220722) |
| dc.subject.none.fl_str_mv | Working capital management · Data envelopment analysis · Malmquist index · Optimization · Coronavirus |
| dc.title.none.fl_str_mv | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology |
| dc.type.none.fl_str_mv | Article |
| description | In this study, we analyze the efficiency of working capital management (WCME) for Gulf companies before and during the coronavirus crisis, then explore the influence of the coronavirus crisis on WCME. This study uses several techniques to achieve its goals, including the Malmquist index (MI), data envelopment analysis (DEA), and Tobit regression. The results demonstrate that most firms (approximately 84%) adopt a conservative strategy for their WCM. The WCME results revealed a statisti cal difference in the technological and pure efficiency scores for companies before and during the coronavirus crisis, while the results revealed no statistical difference in the technical, scale, and total factor productivity scores. Tobit’s results show that the coronavirus crisis had no significant influence on companies’ WCM perfor mance. Finally, our results indicate that firms that are efficient in terms of WCM have higher sales returns and net income. The findings of this study have impor tant implications for stakeholders to increase their awareness of companies’ WCM performance before and during a crisis. In addition, the results could have implica tions for trading strategies as investors and financiers seek to invest in companies with good WCM. The implications of WCM performance on social interests would cause decision-makers to use the best strategies and procedures to enhance WCM activities to improve their investments and image in the community in which it oper ates. We advance a novel contribution to the literature by analyzing and apprais ing the WCME for companies before and during the coronavirus crisis using a new approach based on DEA-Malmquist technology and then examining whether the coronavirus crisis has affected the WCME. |
| id | budr_0d9dcdfdcfcc0c1afdadf5bd06b10b20 |
| identifier_str_mv | Habib, A.M. and Mourad, N. (2022) “Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA-Malmquist Technology,” Operations Research Forum, 3(3). 2662-2556 |
| language_invalid_str_mv | en_US |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/3092 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | Springer |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist TechnologyMohamed Habib, AhmedMourad, NahiaWorking capital management · Data envelopment analysis · Malmquist index · Optimization · CoronavirusIn this study, we analyze the efficiency of working capital management (WCME) for Gulf companies before and during the coronavirus crisis, then explore the influence of the coronavirus crisis on WCME. This study uses several techniques to achieve its goals, including the Malmquist index (MI), data envelopment analysis (DEA), and Tobit regression. The results demonstrate that most firms (approximately 84%) adopt a conservative strategy for their WCM. The WCME results revealed a statisti cal difference in the technological and pure efficiency scores for companies before and during the coronavirus crisis, while the results revealed no statistical difference in the technical, scale, and total factor productivity scores. Tobit’s results show that the coronavirus crisis had no significant influence on companies’ WCM perfor mance. Finally, our results indicate that firms that are efficient in terms of WCM have higher sales returns and net income. The findings of this study have impor tant implications for stakeholders to increase their awareness of companies’ WCM performance before and during a crisis. In addition, the results could have implica tions for trading strategies as investors and financiers seek to invest in companies with good WCM. The implications of WCM performance on social interests would cause decision-makers to use the best strategies and procedures to enhance WCM activities to improve their investments and image in the community in which it oper ates. We advance a novel contribution to the literature by analyzing and apprais ing the WCME for companies before and during the coronavirus crisis using a new approach based on DEA-Malmquist technology and then examining whether the coronavirus crisis has affected the WCME.Springer2025-05-21T17:00:58Z2025-05-21T17:00:58Z2022-07-22ArticleHabib, A.M. and Mourad, N. (2022) “Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA-Malmquist Technology,” Operations Research Forum, 3(3).2662-2556https://bspace.buid.ac.ae/handle/1234/3092https://doi.org/10.1007/s43069-022-00155-7.en_USOperations Research Forumv3 n3 (20220722)oai:bspace.buid.ac.ae:1234/30922026-01-29T16:47:44Z |
| spellingShingle | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology Mohamed Habib, Ahmed Working capital management · Data envelopment analysis · Malmquist index · Optimization · Coronavirus |
| title | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology |
| title_full | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology |
| title_fullStr | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology |
| title_full_unstemmed | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology |
| title_short | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology |
| title_sort | Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology |
| topic | Working capital management · Data envelopment analysis · Malmquist index · Optimization · Coronavirus |
| url | https://bspace.buid.ac.ae/handle/1234/3092 https://doi.org/10.1007/s43069-022-00155-7. |