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Article . 2025
License: CC BY
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ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Developing a Model for Identification of the Effect of Knowledge Levels on Supply Chain Performance

Authors: Peyman Taebi; Milad Rezaeefard; Mohammad Rezaeefard;

Developing a Model for Identification of the Effect of Knowledge Levels on Supply Chain Performance

Abstract

Twenty first century is described by knowledge development and its effect on all organizational dimensions. Today, knowledge is considered as the key and sometimes the only source of competitive advantage for organizations; that is why managers and organizations focus on utilizing some methods for knowledge acquisition, storage, and knowledge application in the present dynamic and competitive environment to provide access and quick transfer of knowledge in system using knowledge management. Therefore, the present research intends to present a model for identifying the effect of knowledge level on supply chain performance using modeling structural equations. Research statistical population included all automotive industries in Iran such as component makers, sale representatives, manufacturing units, etc. 350 were randomly selected as research sample and a questionnaire was distributed, 240 of which were returned. Finally, the positive, significant effect of business attitudes, organizational memory and individuals’ knowledge on supply chain performance in Iran automotive industry was maintained; whereas, the positive, significant effect of customer knowledge, beneficiaries’ relationships, knowledge in processes, and knowledge in manufacturing and services was rejected.

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Keywords

knowledge, Knowledge, HF5001-6182, supply chain performance, Business, supply chain

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold