Herden, Tino T.Bunzel, Steffen2019-08-272019-08-272018-05-08https://depositonce.tu-berlin.de/handle/11303/9913http://dx.doi.org/10.14279/depositonce-8923While 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.en380 Handel, Kommunikation, Verkehrsupply chain analyticsbusiness analyticscluster analysisArticle2019-07-312305-6290