Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/310067 
Year of Publication: 
2018
Citation: 
[Journal:] Logistics [ISSN:] 2305-6290 [Volume:] 2 [Issue:] 2 [Year:] 2018 [Pages:] 1-20
Publisher: 
MDPI, Basel
Abstract: 
While Big Data and Analytics are arguably rising stars of competitive advantage, their application is often presented and investigated as an overall approach. A plethora of methods and technologies combined with a variety of objectives creates a barrier for managers to decide how to act, while researchers investigating the impact of Analytics oftentimes neglect this complexity when generalizing their results. Based on a cluster analysis applied to 46 case studies of Supply Chain Analytics (SCA) we propose 6 archetypes of initiatives in SCA to provide orientation for managers as means to overcome barriers and build competitive advantage. Further, the derived archetypes present a distinction of SCA for researchers seeking to investigate the effects of SCA on organizational performance.
Subjects: 
supply chain analytics
business analytics
cluster analysis
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
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