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Supply Chain Flexibility And Balanced Scorecard: Conceptual Model And Empirical Study In Tunisian Companies Launched Upgrading Program

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Author Info

  • Mohamed Mahjoub Dhiaf

    ()
    (Institut Superieur de Geston Industriellede Sfax)

  • Abdellatif Benabdelhafid

    (University Le Havre, France)

  • Fakher Jaoua

    (Institut Superieur de Geston Industriellede Sfax)

Registered author(s):

    Abstract

    In this article, we clarify the concept of supply chain flexibility (SCF) in an attempt to unveil the difficulty in understanding and dealing with the scope this concept. The imprecise notion of SCF makes it difficult to develop valid and reliable measures which are needed to construct and test a theory involving supply chain flexibility. This paper sheds light on literature relating to the impact of SCF on business performance. A conceptual framework is presented to uncover the effects of different dimensions of SCF (human resources, product, process, information technology and logistics) on the global performance. Valid and reliable measures are developed for each dimension of SCF and global performance and hypotheses are tested using structural equation modeling. From a large sample survey (n= 105) of manufacturing firms launched upgrading program, results indicate a partial impact of supply chain flexibility on the global performance. Three dimensions (human resources flexibility, Logistics flexibility and Information Technology flexibility) have positive and strong relationships on global performance. But, Product flexibility and Process flexibility were not present in Tunisian firms.

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    Bibliographic Info

    Article provided by Czestochowa Technical University, Department of Management in its journal Polish Journal of Management Studies.

    Volume (Year): 5 (2012)
    Issue (Month): 1 (June)
    Pages: 34-59

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    Handle: RePEc:pcz:journl:v:5:y:2012:i:1:p:34-59

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    Web page: http://www.pjms.zim.pcz.pl/edi/
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    Related research

    Keywords: Supply chain flexibility; Balanced Scorecard; Tunisian Upgrading Program; Structural Equation Modeling.;

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    References

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    1. Feitelson, Eran & Salomon, Ilan, 2000. "The implications of differential network flexibility for spatial structures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(6), pages 459-479, August.
    2. Das, Sanchoy K. & Nagendra, Prashanth, 1997. "Selection of routes in a flexible manufacturing facility," International Journal of Production Economics, Elsevier, vol. 48(3), pages 237-247, February.
    3. Sharifi, H. & Zhang, Z., 1999. "A methodology for achieving agility in manufacturing organisations: An introduction," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 7-22, May.
    4. Garavelli, A. Claudio, 2003. "Flexibility configurations for the supply chain management," International Journal of Production Economics, Elsevier, vol. 85(2), pages 141-153, August.
    5. Sabri, Ehap H. & Beamon, Benita M., 2000. "A multi-objective approach to simultaneous strategic and operational planning in supply chain design," Omega, Elsevier, vol. 28(5), pages 581-598, October.
    6. Gupta, Yash P. & Goyal, Sameer, 1989. "Flexibility of manufacturing systems: Concepts and measurements," European Journal of Operational Research, Elsevier, vol. 43(2), pages 119-135, November.
    7. Donald Gerwin, 1993. "Manufacturing Flexibility: A Strategic Perspective," Management Science, INFORMS, vol. 39(4), pages 395-410, April.
    8. Das, Kanchan, 2011. "Integrating effective flexibility measures into a strategic supply chain planning model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 170-183, May.
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