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Measuring efficiency of working capital management: a two-stage data envelopment analysis approach

Author

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  • Utkarsh Goel
  • Anil K. Sharma

Abstract

The purpose of this paper is to analyse the efficiency of working capital management (WCM) in Indian manufacturing firms during the period 2004-2013. The paper describes and uses a new approach based on data envelopment analysis (DEA) to measure the WCM efficiency of firms. Two-stage bootstrapped DEA is employed to first calculate the efficiency and then analyse the effect of exogenous variables on it. We find that the average WCM efficiency over the last ten years was around 40% and majority of the firms were on the lower side of the average. Firm-specific factors like firm's age, proportion of fixed assets, return on asset and sales growth are found to have significant effect on efficiency, whereas macroeconomic factors have a somewhat inconsistent effect. The paper further suggests that the DEA-based measure is not only able to overcome the limitations of traditional measures like mathematical incorrectness and assignment of fixed weights to constituents but also offers several additional advantages.

Suggested Citation

  • Utkarsh Goel & Anil K. Sharma, 2016. "Measuring efficiency of working capital management: a two-stage data envelopment analysis approach," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 10(4), pages 523-544.
    • Handle: RePEc:ids:ijbexc:v:10:y:2016:i:4:p:523-544
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    Citations

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    Cited by:

    1. Wei‐Kang Wang & Wen‐Min Lu & Qian Long Kweh & Wun‐Ya Siao, 2020. "Related‐party transactions and corporate performance following the adoption of International Financial Reporting Standards in Taiwan," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 371-379, April.
    2. Ahmed Mohamed Habib & Tamanna Dalwai, 2024. "Does the Efficiency of a Firm’s Intellectual Capital and Working Capital Management Affect Its Performance?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3202-3238, March.
    3. 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.

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