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Performance Metrics in Supply Chain Management. Evidence from Romanian Economy

Author

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  • Alexandru Constăngioară

    (University of Oradea, Romania)

Abstract

The proposed empirical research uses a national sample of 19 Romanian companies from various industries to estimate de utilities for financial and non-financial performance measures used in Romanian supply chains. Empirical findings show that national supply chain measurement systems are balanced, using both financial and non-financial performance measures. The high estimated utility corresponding to indicators measuring logistic costs provides evidence that inter-functional and inter-organization integration in supply chains at national level are realized through operational excellence. Achieving the full potential of supply chain integration requires that management fosters both integration of operations and integration of customers.

Suggested Citation

  • Alexandru Constăngioară, 2013. "Performance Metrics in Supply Chain Management. Evidence from Romanian Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 170-179, February.
    • Handle: RePEc:aes:amfeco:v:15:y:2013:i:33:p:170-179
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    References listed on IDEAS

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    1. Oana Seitan, 2008. "The performance of the supply chain: Strategical harmonization," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 10(24), pages 224-235, June.
    2. ManMohan S. Sodhi & Christopher S. Tang, 2012. "Supply Chain Risk Management," International Series in Operations Research & Management Science, in: Managing Supply Chain Risk, edition 127, chapter 0, pages 3-11, Springer.
    3. Delia Adriana Marincas, 2008. "Information system for the supply chain management," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 10(24), pages 236-253, June.
    4. J P C Kleijnen & M T Smits, 2003. "Performance metrics in supply chain management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 507-514, May.
    5. Eduard Dinu & Cristina Curea, 2008. "Analysis and competitiveness in logistics," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 10(24), pages 59-69, June.
    6. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    7. Kleijnen, J.P.C. & Smits, M.T., 2003. "Performance metrics in supply chain management," Other publications TiSEM 80777aed-0c9f-4ded-b0bb-f, Tilburg University, School of Economics and Management.
    8. Mihaela Cornelia Prejmerean & Simona Vasilache, 2008. "A LSCM approach to the Romanian pharmaceuticals market," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 10(24), pages 166-176, June.
    9. Kevin B. Hendricks & Vinod R. Singhal, 2005. "Association Between Supply Chain Glitches and Operating Performance," Management Science, INFORMS, vol. 51(5), pages 695-711, May.
    10. Silvia Muhcina & Veronica Popovici, 2008. "Logistics and Supply Chain Management in Tourism," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 10(24), pages 122-132, June.
    11. M Arns & M Fischer & P Kemper & C Tepper, 2002. "Supply chain modelling and its analytical evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(8), pages 885-894, August.
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    More about this item

    Keywords

    supply chain management; performance metrics; conjoint analysis;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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