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

Timm Schorsch, Carl Marcus Wallenburg, Andreas Wieland

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

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.
Original languageEnglish
Publication date2016
Number of pages10
Publication statusPublished - 2016
EventThe 23rd International Annual EurOMA Conference 2016 - Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Duration: 17 Jun 201622 Jun 2016
Conference number: 23
http://www.euroma2016.org/

Conference

ConferenceThe 23rd International Annual EurOMA Conference 2016
Number23
LocationNorwegian University of Science and Technology (NTNU)
CountryNorway
CityTrondheim
Period17/06/201622/06/2016
Internet address

Bibliographical note

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Keywords

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

Cite this

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