Although Supply Chain Management (SCM) and Industrial Cluster (IC) are two different fields of study, it has been identified that there is a natural and internal relationship between these two theories. Most of research works depict that, integration of the two concepts is in its infancy. The aim of this research is to review the integration between supply chain management and industrial cluster, at the same time to identify the gap and propose solution. To achieve the research aim, two pairs of keywords namely “supply chain” and “industrial cluster” were used, to track literatures from the online databases. The search initially identified over 46 articles. After further screening, they were reduced to 17. Finally, contents of these articles were analyzed based on their general focus area. From the content analysis, considerable evidences are found in the literature review on the integration of supply chain management with industrial cluster. The entire emphasis of the previous researches was on cluster supply chain (CSC) management, which highly promotes efficient operations of industrial clusters. Most of the CSC articles focused on the importance of cluster supply chain. However, there are few researches in the design, implementation and improvement of cluster supply chain. On the other hand, the role of industrial clusters in a global supply chain management and benchmarking of best practices have not yet been given the attention they deserve in previous studies. This is one of the first studies which critically examine researches that deal about supply chain management and industrial cluster integration theories.

A Review on the Integration of Supply Chain Management and Industrial Cluster / Netsanet Jote, Tolossa; Birhanu, Beshah; Daniel, Kitaw; Mangano, Giulio; DE MARCO, Alberto. - In: INTERNATIONAL JOURNAL OF MARKETING STUDIES. - ISSN 1918-719X. - 5:6(2013), pp. 164-174. [10.5539/ijms.v5n6p164]

A Review on the Integration of Supply Chain Management and Industrial Cluster

MANGANO, GIULIO;DE MARCO, Alberto
2013

Abstract

Although Supply Chain Management (SCM) and Industrial Cluster (IC) are two different fields of study, it has been identified that there is a natural and internal relationship between these two theories. Most of research works depict that, integration of the two concepts is in its infancy. The aim of this research is to review the integration between supply chain management and industrial cluster, at the same time to identify the gap and propose solution. To achieve the research aim, two pairs of keywords namely “supply chain” and “industrial cluster” were used, to track literatures from the online databases. The search initially identified over 46 articles. After further screening, they were reduced to 17. Finally, contents of these articles were analyzed based on their general focus area. From the content analysis, considerable evidences are found in the literature review on the integration of supply chain management with industrial cluster. The entire emphasis of the previous researches was on cluster supply chain (CSC) management, which highly promotes efficient operations of industrial clusters. Most of the CSC articles focused on the importance of cluster supply chain. However, there are few researches in the design, implementation and improvement of cluster supply chain. On the other hand, the role of industrial clusters in a global supply chain management and benchmarking of best practices have not yet been given the attention they deserve in previous studies. This is one of the first studies which critically examine researches that deal about supply chain management and industrial cluster integration theories.
File in questo prodotto:
File Dimensione Formato  
13TolossaetalSCM.pdf

accesso aperto

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 415.38 kB
Formato Adobe PDF
415.38 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2572763
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo