IDEAS home Printed from https://ideas.repec.org/a/air/journl/v4y2017i2p188.html

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

Author

Listed:
  • Peyman Taebi
  • Milad Rezaeefard
  • Mohammad Rezaeefard

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.

Suggested Citation

Handle: RePEc:air:journl:v:4:y:2017:i:2:p:188
DOI: 10.5281/zenodo.17505908
as

Download full text from publisher

File URL: https://www.ijmae.com/article_114939_3c518c867b9f7a182769271ffd59a671.pdf
Download Restriction: no

File URL: https://libkey.io/10.5281/zenodo.17505908?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:air:journl:v:4:y:2017:i:2:p:188. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Behzad Hassannezhad Kashani (email available below). General contact details of provider: https://www.ijmae.com/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.