NETWORK COMMUNICATION MODEL: PROPENSITY OF NETWORK INTER-CONNECTIVITY BASED ON TYPES OF NETWORK RELATIONS

Lokhman Hakim BIN Osman
Additional contact information
Lokhman Hakim BIN Osman: Universiti Kebangsaan Malaysia

Management and Marketing Journal, 2015, vol. XIII, issue 2, 274-294

Abstract: The supply chain has been described as a complex network of interrelated organizations transforming materials into finished goods and services. Supply network is complex as organizations are embedded in tiers of relationship and exchanges. Complexity resulting from the increase number of member organizations in the supply network has been known to complicate the supply network further, making the management of the supply chain a daunting task. In this study, the researcher investigated the degree of attention paid by firms in different types of network relations. Using Social Network Analysis, it was found that firms are more connected in informal network relationship that in a formal one. These findings are essential for resource management towards an effective and efficient supply chain management. Future research are discussed.

Keywords: Supply Chain Management; Network Studies; Inter-Organizational Relations; Social Capital; Supply Chain strategy. (search for similar items in EconPapers)
JEL-codes: M30 M31 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.mnmk.ro/documents/2016_X1/Articol_2.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aio:manmar:v:xiii:y:2015:i:2:p:274-294

Access Statistics for this article

Management and Marketing Journal is currently edited by Tudor Nistorescu

More articles in Management and Marketing Journal from University of Craiova, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Catalin Barbu ().