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.
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.

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

CBS Library does not have access to the material

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.
Schorsch, Timm ; Wallenburg, Carl Marcus ; Wieland, Andreas. / 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.10 p.
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Schorsch, T, Wallenburg, CM & Wieland, A 2016, 'On the Interface Between Automated Predictive Demand Planning Techniques and Humans in Collaborative Planning Processes' Paper presented at, Trondheim, Norway, 17/06/2016 - 22/06/2016, .

On the Interface Between Automated Predictive Demand Planning Techniques and Humans in Collaborative Planning Processes. / Schorsch, Timm; Wallenburg, Carl Marcus; Wieland, Andreas.

2016. Paper presented at The 23rd International Annual EurOMA Conference 2016, Trondheim, Norway.

Research output: Contribution to conferencePaperResearchpeer-review

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T1 - On the Interface Between Automated Predictive Demand Planning Techniques and Humans in Collaborative Planning Processes

AU - Schorsch,Timm

AU - Wallenburg,Carl Marcus

AU - Wieland,Andreas

N1 - CBS Library does not have access to the material

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Supply Chain Management (SCM)

KW - Collaborative planning

KW - Behavioral experiments

KW - Supply Chain Management (SCM)

KW - Collaborative planning

KW - Behavioral experiments

M3 - Paper

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