On the Interface Between Automated Predictive Demand Planning Techniques and Humans in Collaborative Planning Processes

Timm Schorsch, Carl Marcus Wallenburg, Andreas Wieland

Publikation: KonferencebidragPaperForskningpeer review

Abstrakt

The introduction of big data and predictive analytics techniques in the supply chain context constitutes a “hot topic” in both research and practice. Without arguing against this euphoria, this paper critically assesses the consequences of confronting human actors with an increasing usage of these techniques. The underlying case of this paper refers to collaborative supply chain processes that are predestinated for integrating new big data and predictive analytics techniques. By building a theoretical framework for deriving sound hypothesis and introducing and testing the experimental design for validating these hypothesis, this paper paves the way for this important research avenue.
OriginalsprogEngelsk
Publikationsdato2016
Antal sider10
StatusUdgivet - 2016
BegivenhedThe 23rd International Annual EurOMA Conference 2016 - Norwegian University of Science and Technology (NTNU), Trondheim, Norge
Varighed: 17 jun. 201622 jun. 2016
Konferencens nummer: 23
http://www.euroma2016.org/

Konference

KonferenceThe 23rd International Annual EurOMA Conference 2016
Nummer23
LokationNorwegian University of Science and Technology (NTNU)
LandNorge
ByTrondheim
Periode17/06/201622/06/2016
Internetadresse

Bibliografisk note

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Emneord

  • Supply Chain Management (SCM)
  • Collaborative planning
  • Behavioral experiments

Citationsformater

Schorsch, T., Wallenburg, C. M., & Wieland, A. (2016). On the Interface Between Automated Predictive Demand Planning Techniques and Humans in Collaborative Planning Processes. Paper præsenteret på The 23rd International Annual EurOMA Conference 2016, Trondheim, Norge.