𝔖 Bobbio Scriptorium
✦   LIBER   ✦

ON SOCIAL NETWORK ANALYSIS IN A SUPPLY CHAIN CONTEXT

✍ Scribed by STEPHEN P. BORGATTI; XUN LI


Book ID
111347419
Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
524 KB
Volume
45
Category
Article
ISSN
1523-2409

No coin nor oath required. For personal study only.

✦ Synopsis


The network perspective is rapidly becoming a lingua franca across virtually all of the sciences from anthropology to physics. In this paper, we provide supply chain researchers with an overview of social network analysis, covering both specific concepts (such as structural holes or betweenness centrality) and the generic explanatory mechanisms that network theorists often invoke to relate network variables to outcomes of interest. One reason for discussing mechanisms is to facilitate appropriate translation and context‐specific modification of concepts rather than blind copying. We have also taken care to apply network concepts to both β€œhard” types of ties (e.g., materials and money flows) and β€œsoft” types of ties (e.g., friendships and sharing‐of‐information), as both are crucial (and mutually embedded) in the supply chain context. Another aim of the review is to point to areas in other fields that we think are particularly suitable for supply chain management (SCM) to draw network concepts from, such as sociology, ecology, input–output research and even the study of romantic networks. We believe the portability of many network concepts provides a potential for unifying many fields, and a consequence of this for SCM may be to decrease the distance between SCM and other branches of management science.


πŸ“œ SIMILAR VOLUMES


A comprehensive clustering algorithm for
✍ Mukundan Srinivasan; Young B. Moon πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 205 KB

Inventory management in supply chain networks involves keeping track of hundreds of items spread across multiple locations with complex interrelationships between them. However, it is not computationally feasible to consider each item individually during the decision making process. The use of clust