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Building Decision Support Systems for Acceptance

  • Ralph RiedelEmail author
  • Jan Fransoo
  • Vincent Wiers
  • Katrin Fischer
  • Julien Cegarra
  • David Jentsch
Chapter

Abstract

Production planning and control fulfill a crucial role in enterprises. Planning and scheduling activities are very complex, and take place within the enterprise and across the entire supply chain in order to achieve high quality products at lower cost, lower inventory and higher levels of customer service. Since the information that has to be processed in planning and scheduling functions is very complex information technology is used extensively to support these functions. In the field of manufacturing planning and control Decision Support Systems (DSS) are used. Those are also known as Advanced Planning Systems (APS).

Keywords

Decision Support System Behavioral Intention Technology Acceptance Model User Involvement User Participation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2010

Authors and Affiliations

  • Ralph Riedel
    • 1
    Email author
  • Jan Fransoo
    • 2
  • Vincent Wiers
    • 2
  • Katrin Fischer
    • 3
  • Julien Cegarra
    • 4
  • David Jentsch
    • 1
  1. 1.Department of Factory Planning and Factory ManagementChemnitz University of TechnologyChemnitzGermany
  2. 2.School of Industrial EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
  3. 3.School of Applied PsychologyUniversity of Applied Sciences Northwestern SwitzerlandOltenSwitzerland
  4. 4.Université de ToulouseToulouseFrance

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