Archetypes of Supply Chain Analytics Initiatives—An Exploratory Study

Tino T. Herden and Steffen Bunzel
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Tino T. Herden: Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Steffen Bunzel: Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany

Logistics, 2018, vol. 2, issue 2, 1-20

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.

Keywords: supply chain analytics; business analytics; cluster analysis (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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