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Wie strategisch sind Algorithmen? Die Rolle von Big Data und Analytics im Rahmen strategischer Entscheidungsprozesse

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Logistik im Wandel der Zeit – Von der Produktionssteuerung zu vernetzten Supply Chains

Zusammenfassung

Seit geraumer Zeit wird insbesondere von vielen Fachvertretern der Wirtschaftsinformatik und der Managementforschung die These artikuliert, die rasant steigenden Möglichkeiten im Rahmen von Big Data und Analytics (BDA) könnten – bei „richtigem“ Einsatz – die Wettbewerbsfähigkeit und auch den Erfolg von Unternehmen signifikant verbessern (vgl. z.B. Davenport, 2014; Barbosa, de la Calle Vicente, Ladeira & de Oliveira, 2018; Erevelles, Fukawa & Swayne, 2016; Gunasekaran et al., 2017). Hierfür wird eine große Bandbreite an theoretischen Ankerpunkten genutzt – z.B. die Transaktionskostentheorie (BDA kann die Transaktionseffizienz erhöhen, vgl. Waller & Fawcett, 2013), ressourcen- und kompetenzorientierte Ansätze (BDA als wertvolle Ressource/Fähigkeit, vgl. Braganza, Brooks, Nepelski, Ali & Moro, 2017) oder Informationsprozessansätze (BDA zur Reduzierung von Unsicherheiten und Mehrdeutigkeiten in Entscheidungsprozessen, vgl. Kowalczyk & Buxmann, 2014, 2015).

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    Thomas Wrona & Pauline Reinecke

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    Kirsten Wegner

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Wrona, T., Reinecke, P. (2019). Wie strategisch sind Algorithmen? Die Rolle von Big Data und Analytics im Rahmen strategischer Entscheidungsprozesse. In: Schröder, M., Wegner, K. (eds) Logistik im Wandel der Zeit – Von der Produktionssteuerung zu vernetzten Supply Chains. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-25412-4_21

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