The Interaction of Causal Attribution of Performance and Compliance with Decision Support Systems in Cyber-Physical Production Systems - An Empirical Study Using a Business Simulation Game

  • Philipp Brauner
  • Ralf Philipsen
  • André Calero Valdez
  • Martina Ziefle
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 601)


Supply Chains and production networks are complex sociotechnical systems whose performance is determined by system, interface, and human factors. While the influence of system factors (e.g., variances in delivery times and amount, queuing strategies) is increasingly well understood, the influence of the interface and human factors is currently insufficiently explored. Previous research has shown that decision support systems may help to enhance performance by improving the interface. In this work, we address the users’ trust in a decision support system. In a user study (n = 40), using a business simulation game, we investigated how four dimensions of attribution theory relate to trust in decision support systems and further to task performance. The results show that human factors, especially trust in automation and attribution theory relate to the performance in the business simulation game. We conclude that attribution relates to job compliance and performance in material disposition tasks and supply chain management.


Business simulation game Industrial internet of things Automation Trust in automation Attribution theory User modelling Human factors 



We thank all participants of the presented study for their willingness to contribute to our research and our colleagues Anne Kathrin Schaar, Felix Dietze, Lisa Schwier, Marco Fuhrmann, Sebastian Stiller, Hao Ngo, and Robert Schmitt for support and in-depth discussions on this work. Furthermore, we like to thank Sabrina Schulte for her research support. The German Research Foundation (DFG) founded this project within the Cluster of Excellence “Integrative Production Technology for High-Wage Countries” and the Integrated Cluster Domain “Self-Optimizing Production Networks” [29].


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Philipp Brauner
    • 1
  • Ralf Philipsen
    • 1
  • André Calero Valdez
    • 1
  • Martina Ziefle
    • 1
  1. 1.Human-Computer Interaction CenterRWTH Aachen UniversityAachenGermany

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