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Sustainable supplier selection by way of managing knowledge: a case of the automotive industry

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  • Ahmad Jamalian
  • Abdolhamid Safaei Ghadikolaei
  • Mohammad Zarei
  • Rohollah Ghasemi

Abstract

Knowledge management (KM) is globally known as an enabler for supply chain management (SCM). By developing the literature of 'sustainability' in SCMs, sustainable supplier selections (SSS) have widely been recognised as an important issue. The current research aims at investigating the relationship between knowledge management process capability (KMPC) and SSS in one of the Iranian automobile manufacturer, so called 'SAIPA'. After reviewing the related literature, the research's model was extracted. Meanwhile, well-designed questionnaires were distributed among the 191 SAIPA Corp's experts who have had the adequate understanding of KM. Besides, in this study an applied research has been used as a research method, and a canonical correlation coefficient for collecting the data. Furthermore, cross-sectional study has been utilised. Based on the results, in regards to the SAIPA's SCM, there is a meaningful, as well as positive linkage between KMPC and SSS criteria.

Suggested Citation

  • Ahmad Jamalian & Abdolhamid Safaei Ghadikolaei & Mohammad Zarei & Rohollah Ghasemi, 2018. "Sustainable supplier selection by way of managing knowledge: a case of the automotive industry," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 5(1/2), pages 125-140.
    • Handle: RePEc:ids:ijient:v:5:y:2018:i:1/2:p:125-140
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    Cited by:

    1. Koc, Kerim & Ekmekcioğlu, Ömer & Işık, Zeynep, 2023. "Developing a probabilistic decision-making model for reinforced sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 259(C).

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