Article
A Digital Mapping Paradigm to Identify Supply Chain Network Structure and Evolution
International Journal of Operations and Quantitative Management
(2019)
Abstract
We constructed a preliminary sample data set spanning forty supply networks across a number of industry sectors to understand key structural features of supply networks. We observed that the emergent structure of supply networks is similar (inter-industry), although dominant supply networks are apparent, in some, yet not all of the industry sectors. Intra-industry, there was noticeable variation in the scale of the network (node and edge counts) as well as in the average degree. A higher average degree was associated with increased network connectivity and network stability (fewer visual changes). Supply networks with a lower average degree were less stable in structure and more visual changes occurred during the time-period of observation.
Keywords
- Data Analytics,
- Data Mining,
- Data Visualization,
- Empirical Research,
- Supply Chain Network Structure
Disciplines
Publication Date
June, 2019
Citation Information
Penina Orenstein and Caroline Weeks. "A Digital Mapping Paradigm to Identify Supply Chain Network Structure and Evolution" International Journal of Operations and Quantitative Management Vol. 25 Iss. 2 (2019) p. 125 - 134 ISSN: 1082-1910 Available at: http://works.bepress.com/penina-orenstein/38/