Archetypes of supply chain analytics initiatives : an exploratory study
Tino Herden and Steffen Bunzel
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.
Year of publication: |
2018
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Authors: | Herden, Tino ; Bunzel, Steffen |
Published in: |
Logistics. - Basel : MDPI AG, ISSN 2305-6290, ZDB-ID 2908937-2. - Vol. 2.2018, 2, p. 1-20
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Subject: | supply chain analytics | business analytics | cluster analysis | Lieferkette | Supply chain | Clusteranalyse | Cluster analysis | Unternehmensanalyse | Business analysis | Data Analytics | Data analytics |
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