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“Status of Supply Chain Finance in FMCG companies- a Benchmarking Approach”

Author

Listed:
  • More, Dileep Satappa
  • Maddali, Ravi Kiran

Abstract

A company’s performance significantly depends on how well a company manages its finances keeping in view the short term hurdles and long term goals. One objective of financial statement analysis is to determine firm value. Research suggests that a firm’s value is a function of the expected future growth and profitability of the firm (e.g., Ohlson, 1995). The purpose of this study is to assess the performance of the top players in the Indian FMCG industry and benchmark the best player’s actions in different scenarios to be the best practice in the industry. The author mainly concentrates on which company stood in what place in tacking different finance constraints of supply chain. Inputs and outputs are strategically selected to show cases ranging from short term transfers to company capital structure. The results show that each company is good at different cases and they did earn them with good management. Also it is evident that company that has been managing its finances well was rewarded with a good market share.

Suggested Citation

  • More, Dileep Satappa & Maddali, Ravi Kiran, 2013. "“Status of Supply Chain Finance in FMCG companies- a Benchmarking Approach”," MPRA Paper 51261, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:51261
    as

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    References listed on IDEAS

    as
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    4. Takeo Hoshi & Anil Kashyap & David Scharfstein, 1991. "Corporate Structure, Liquidity, and Investment: Evidence from Japanese Industrial Groups," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(1), pages 33-60.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Supply Chain; FMCG; DEA Analysis; Ratio Analysis;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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