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Evaluating the Super-Efficiency of Working Capital Management Using Data Envelopment Analysis: Does COVID-19 Matter?

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  • Ahmed Mohamed Habib

    (Independent Accounting and Finance Researcher, Independent Research)

  • Umar Nawaz Kayani

    (Al-Ain University)

Abstract

This study evaluates the working capital management (WCM) super-efficiency in UAE firms and determines how the COVID-19 crisis may affect WCM super-efficiency from a statistical perspective. Data envelopment analysis (DEA), difference tests, and Tobit regression techniques are used. Integration of DEA with Tobit regression is required to recognize the potential statistical consequence of COVID-19 on the super-efficiency of WCM. The results show that WCM super-efficiency is moderate and requires decision-makers' corrective measures to attain best practices. The study results show no significant difference in WCM super-efficiency, and COVID-19 does not significantly influence WCM super-efficiency. The results would rouse decision-makers' interests, who would look into the firm's efficiency and weak spots. They would then take major steps to improve efficiency and achieve the best practices. Stakeholders such as managers, financiers, and investors may need these results to monitor how firms manage their assets and liabilities. We contribute to the literature by investigating and evaluating firms' WCM super-efficiency pre and post the COVID-19 pandemic employing a unique technique based on DEA super-efficiency and examining whether COVID-19 has affected WCM super-efficiency to extend the scope of knowledge and stressing the importance of sound WCM, especially in periods of economic distress.

Suggested Citation

  • Ahmed Mohamed Habib & Umar Nawaz Kayani, 2023. "Evaluating the Super-Efficiency of Working Capital Management Using Data Envelopment Analysis: Does COVID-19 Matter?," SN Operations Research Forum, Springer, vol. 4(2), pages 1-20, June.
  • Handle: RePEc:spr:snopef:v:4:y:2023:i:2:d:10.1007_s43069-023-00217-4
    DOI: 10.1007/s43069-023-00217-4
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    1. Mohammad Tahir & Melati Anuar, 2016. "The determinants of working capital management and firms performance of textile sector in pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 605-618, March.
    2. Laurie A. Garrow & Virginie Lurkin & Lavanya Marla, 2022. "Airline OR Innovations Soar During COVID-19 Recovery," SN Operations Research Forum, Springer, vol. 3(1), pages 1-20, March.
    3. Greg Filbeck & Xin Zhao & Ryan Knoll, 2017. "An analysis of working capital efficiency and shareholder return," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 265-288, January.
    4. Vera Fiador, 2016. "Does corporate governance influence the efficiency of working capital management of listed firms," African Journal of Economic and Management Studies, Emerald Group Publishing Limited, vol. 7(4), pages 482-496, December.
    5. Hashem Valipour & Ali Jamshidi, 2012. "Determining the Optimal Efficiency Index of Working Capital Management and its Relationship with Efficiency of Assets in Categorized Industries: Evidence from Tehran Stock Exchange (TSE)," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 2(2), pages 1-9.
    6. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    7. Amr Ahmed Moussa, 2018. "The impact of working capital management on firms’ performance and value: evidence from Egypt," Journal of Asset Management, Palgrave Macmillan, vol. 19(4), pages 259-273, July.
    8. Muhammad Ahmad & Rabia Bashir & Hamid Waqas, 2022. "Working capital management and firm performance: are their effects same in covid 19 compared to financial crisis 2008?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2101224-210, December.
    9. Chisti Khalid Ashraf, 2012. "The Relationship between Working Capital Efficiency and Profitability," Advances In Management, Advances in Management, vol. 5(12), December.
    10. Anna Nagurney, 2021. "A Multiperiod Supply Chain Network Optimization Model with Investments in Labor Productivity Enhancements in an Era of COVID-19 and Climate Change," SN Operations Research Forum, Springer, vol. 2(4), pages 1-22, December.
    11. Tarek Ben Hassen, 2022. "The GCC Economies in the Wake of COVID-19: Toward Post-Oil Sustainable Knowledge-Based Economies?," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    12. Ahmed Mohamed Habib & Nahia Mourad, 2022. "Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA-Malmquist Technology," SN Operations Research Forum, Springer, vol. 3(3), pages 1-20, September.
    13. Yaser Mohd Hamshari & Mohammad Ahmad Alqam & Haitham Yousef Ali, 2022. "The impact of the corona epidemic on working capital management for jordanian companies listed on the amman stock exchange," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2157541-215, December.
    14. Peng, Juan & Zhou, Zhili, 2019. "Working capital optimization in a supply chain perspective," European Journal of Operational Research, Elsevier, vol. 277(3), pages 846-856.
    15. Grzegorz Zimon & Hossein Tarighi, 2021. "Effects of the COVID-19 Global Crisis on the Working Capital Management Policy: Evidence from Poland," JRFM, MDPI, vol. 14(4), pages 1-17, April.
    16. Hakim Lyngstadaas, 2020. "Packages or systems? Working capital management and financial performance among listed U.S. manufacturing firms," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(4), pages 403-450, December.
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    18. Chisti Khalid ASHRAF, 2012. "The relationship between working capital efficiency and profitability," The Journal of Accounting and Management, Danubius University of Galati, issue 3, pages 21-45, December.
    19. Ding, Wenzhi & Levine, Ross & Lin, Chen & Xie, Wensi, 2021. "Corporate immunity to the COVID-19 pandemic," Journal of Financial Economics, Elsevier, vol. 141(2), pages 802-830.
    20. Anna Nagurney & Pritha Dutta, 2021. "A Multiclass, Multiproduct Covid-19 Convalescent Plasma Donor Equilibrium Model," SN Operations Research Forum, Springer, vol. 2(3), pages 1-30, September.
    21. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
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    Cited by:

    1. Subhash Karmakar & Gautam Bandyopadhyay & Jayanta Nath Mukhopadhyay, 2024. "Systemic Risk in Indian Financial Institutions: A Probabilistic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(3), pages 579-656, September.
    2. Ahmed Mohamed Habib & Umar Nawaz Kayani, 2024. "Price reaction of global economic indicators: evidence from the COVID-19 pandemic and the Russia–Ukraine conflict," SN Business & Economics, Springer, vol. 4(1), pages 1-21, January.
    3. Umar Nawaz Kayani & Roohi Mumtaz & Mochammad Fahlevi & Hassan Nasseredine & Acep Hadinata, 2024. "Unbridling the Economic Growth and Environmental Nexus in Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 14(1), pages 488-495, January.
    4. Ahmed Mohamed Habib, 2024. "Does real earnings management affect a firm's environmental, social, and governance (ESG), financial performance, and total value? A moderated mediation analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28239-28268, November.

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