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Evaluating And Measuring Knowledge Management's Impact On Supply Chain Performance Using HOQ

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  • Fatma Lehyani

    (UR-LOGIQ-ISGI Sfax - UR-LOGIQ-ISGI Sfax)

  • Alaeddine Zouari

    (UR-LOGIQ-ISGI Sfax - UR-LOGIQ-ISGI Sfax)

Abstract

Supply Chain Performance (SCP) depends on several factors additionally its length and the yield of its members. However, manage a Supply Chain (SC) means well managing knowledge as sharing them between actors involved in this process. Knowledge Management (KM) has, of appearance, a direct impact on SCP, but its formalization remains always ambiguous. In this context, this paper aims to determining the KM impact on the SCP through highlighting the relation between KM Elements (KME) and SCP Evaluation Criteria (SCPEC). Our approach consists, in the beginning, to position the knowledge concept in the SC through a conceptual model that identifies the KM impact on SCP based on mutual relations. Afterward, we adopt the House Of Quality (HOQ) to evaluate and measure the impact of each KME on whole SCPEC, similarly, the impact of whole KME on each SCPEC. An implementation example is proposed in the end.

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  • Fatma Lehyani & Alaeddine Zouari, 2015. "Evaluating And Measuring Knowledge Management's Impact On Supply Chain Performance Using HOQ," Post-Print hal-01893159, HAL.
    • Handle: RePEc:hal:journl:hal-01893159
    Note: View the original document on HAL open archive server: https://hal.science/hal-01893159
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    References listed on IDEAS

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    1. Estampe, Dominique & Lamouri, Samir & Paris, Jean-Luc & Brahim-Djelloul, Sakina, 2013. "A framework for analysing supply chain performance evaluation models," International Journal of Production Economics, Elsevier, vol. 142(2), pages 247-258.
    2. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    3. Fu, Qi & Zhu, Kaijie, 2010. "Endogenous information acquisition in supply chain management," European Journal of Operational Research, Elsevier, vol. 201(2), pages 454-462, March.
    4. Yang, Taho & Wen, Yuan-Feng & Wang, Fang-Fang, 2011. "Evaluation of robustness of supply chain information-sharing strategies using a hybrid Taguchi and multiple criteria decision-making method," International Journal of Production Economics, Elsevier, vol. 134(2), pages 458-466, December.
    5. Ju, Jiandong & Yu, Xinding, 2015. "Productivity, profitability, production and export structures along the value chain in China," Journal of Comparative Economics, Elsevier, vol. 43(1), pages 33-54.
    6. Sachin K. Patil & Ravi Kant, 2014. "Ranking the barriers of knowledge management adoption in supply chain using fuzzy AHP method," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 8(1), pages 52-75.
    7. Najmi, Ali & Gholamian, Mohammad Reza & Makui, Ahamad, 2013. "Supply chain performance models: A literature review on approaches,techniques, and criteria," Journal of Operations and Supply Chain Management (JOSCM), Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP), vol. 6(2), December.
    8. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
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    Cited by:

    1. Chams, Nour & Guesmi, Bouali & Gil, Jose M. & Molins, Mireia & Cubel, Rosa, 2021. "Between “Research Producers” and “Research Adopters”: The Role of Knowledge and Innovation Transfer on Sustainability Impact," 2021 Conference, August 17-31, 2021, Virtual 315264, International Association of Agricultural Economists.

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