Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
Advances in The Human Side of Service Engineering (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 601))

Included in the following conference series:

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Nguyen, T.T., Maxwell, P.H.F., Loren, H., Joseph, T.: Exploring the filter bubble: the effect of using recommender systems on content diversity. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 677–686. ACM (2014)

    Google Scholar 

  2. Calero Valdez, A., Brauner, P., Schaar, A.K., Holzinger, A., Ziefle, M.: Reducing complexity with simplicity - usability methods for industry 4.0. In: 9th Triennial Congress of the International Ergonomics Association (IEA 2015), Melbourne, Australia (2015)

    Google Scholar 

  3. Holzinger, A.: Interactive machine learning for health informatics: when do we need the human-in-the-loop? Brain Inform. 3, 119–131 (2016)

    Article  Google Scholar 

  4. Moor, J.H.: The nature, importance, and difficulty of machine ethics. IEEE Intell. Syst. 21, 18–21 (2006)

    Article  Google Scholar 

  5. Aven, T.: On the meaning of a black swan in a risk context. Saf. Sci. 57, 44–51 (2013)

    Article  Google Scholar 

  6. Calero Valdez, A., Brauner, P., Ziefle, M., Kuhlen, T.W., Sedlmair, M.: Human factors in information visualization and decision support systems. In: Workshop Human Factors in Information Visualization and Decision Support Systems Held as Part of the Mensch und Computer 2016. Gesellschaft für Informatik (2016)

    Google Scholar 

  7. Shim, J.P., Warkentin, M., Courtney, J.F., Power, D.J., Sharda, R., Carlsson, C.: Past, present, and future of decision support technology. Decis. Support Syst. 33(2) 111–126 (2002)

    Google Scholar 

  8. Gorry, G.A., Morton, M.S.S.: A framework for management information systems. Sloan Manag. Rev. 13, 50–70 (1971)

    Google Scholar 

  9. Kimball, R., Ross, M.: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modelling. Wiley, New York (1996)

    Google Scholar 

  10. Codd, E., Codd, S., Salley, C.: Providing OLAP to User-Analysts: An IT Mandate (1993)

    Google Scholar 

  11. Bra, A., Lungu, I.: Improving decision support systems with data mining techniques. In: Advances in Data Mining Knowledge Discovery and Applications. InTech (2012)

    Google Scholar 

  12. Phillips-Wren, G.: Ai tools in decision making support systems: a review. Int. J. Artif. Intell. Tools 21(02), 13 pages (2012)

    Google Scholar 

  13. Shibl, R., Lawley, M., Debuse, J.: Factors influencing decision support system acceptance. Decis. Support Syst. 54, 953–961 (2013)

    Article  Google Scholar 

  14. Althuizen, N., Reichel, A., Wierenga, B.: Help that is not recognized: harmful neglect of decision support systems. Decis. Support Syst. 54, 719–728 (2012)

    Article  Google Scholar 

  15. Ben-Zvi, T.: Measuring the perceived effectiveness of decision support systems and their impact on performance. Decis. Support Syst. 54, 248–256 (2012)

    Article  Google Scholar 

  16. Brauner, P., Calero Valdez, A., Philipsen, R., Ziefle, M.: How correct and defect decision support systems influence trust, compliance, and performance in supply chain and quality management – a behavioral study using business simulation games. In: HCI in Business, Government, and Organizations (HCIGO), Held as Part of HCI International. Springer (2017, in press). doi:10.1007/978-3-319-58484-3_26

  17. Colman, A.M.: Oxford Dictionary of Psychology. Oxford University Press, Oxford (2015)

    Google Scholar 

  18. Weiner, B.: An attributional theory of achievement motivation and emotion. Psychol. Rev. 92, 548–573 (1985)

    Article  Google Scholar 

  19. Graham, S., Folkes, V.S.: Attribution Theory: Applications to Achievement, Mental Health, and Interpersonal Conflict. Lawrence Erlbaum Associates, Hillsdale (1990)

    Google Scholar 

  20. Niels, A., Guczka, S.R., Janneck, M.: The impact of causal attributions on system evaluation in usability tests. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3115–3125. ACM (2016)

    Google Scholar 

  21. Niels, A., Zagel, C.: Gamification: Der Einfluss von Attributionen auf die Motivation [The Influence of Attributions on Motivation]. In: Prinz, W., Borchers, J., Jarke, M. (eds.) Mensch und Computer 2016 - Tagungsband. Gesellschaft für Informatik e.V. (2016)

    Google Scholar 

  22. Arning, K., Ziefle, M.: Understanding age differences in PDA acceptance and performance. Comput. Hum. Behav. 23, 2904–2927 (2007)

    Article  Google Scholar 

  23. Brauner, P., Leonhardt, T., Ziefle, M., Schroeder, U.: The effect of tangible artifacts, gender and subjective technical competence on teaching programming to seventh graders. In: Hromkovic, J., Královiè, R., Vahrenhold, J. (eds.) Proceedings of the 4th International Conference on Informatics in Secondary Schools (ISSEP 2010), Zurich, Switzerland. LNCS, vol. 5941, pp. 61–71. Springer, Heidelberg (2010)

    Google Scholar 

  24. Wittland, J., Brauner, P., Ziefle, M.: Serious games for cognitive training in ambient assisted living environments – a technology acceptance perspective. In: Abascal, J., Barbosa, S., Fetter, M., Gross, T., Palanque, P., Winckler, M. (eds.) Proceedings of the 15th INTERACT 2015 Conference. LNCS, vol. 9296, pp. 453–471. Springer, Cham (2015)

    Google Scholar 

  25. Stiller, S., Falk, B., Philipsen, R., Brauner, P., Schmitt, R., Ziefle, M.: A game-based approach to understand human factors in supply chains and quality management. Procedia CIRP 20, 67–73 (2014)

    Article  Google Scholar 

  26. Sterman, J.D.: Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment. Manag. Sci. 35, 321–339 (1989)

    Article  Google Scholar 

  27. Goldratt, E.M., Cox, J.: The Goal: A Process of Ongoing Improvement. North River Press, Great Barringtons (1992)

    Google Scholar 

  28. Brauner, P., Calero Valdez, A., Philipsen, R., Ziefle, M.: Defective still deflective – how correctness of decision support systems influences user’s performance in production environments. In: Nah, F.F.-H., Tan, C.-H. (eds.) HCI in Business, Government, and Organizations (HCIGO), Held as Part of HCI International 2016, pp. 16–27. Springer, Cham (2016)

    Google Scholar 

  29. Schlick, C., et al.: Cognition-enhanced, self-optimizing production networks. In: Brecher, C., Özdemir, D. (eds.) Integrative Production Technology - Theory and Applications, pp. 645–743. Springer, Heidelberg (2017)

    Chapter  Google Scholar 

Download references

Acknowledgements

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].

Author information

Authors and Affiliations

  1. Human-Computer Interaction Center, RWTH Aachen University, Aachen, Germany

    Philipp Brauner, Ralf Philipsen, André Calero Valdez & Martina Ziefle

Authors
  1. Philipp Brauner
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ralf Philipsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. André Calero Valdez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Martina Ziefle
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Philipp Brauner .

Editor information

Editors and Affiliations

  1. Department of Industrial and Systems Engineering, San Jose State University, San Jose, California, USA

    Louis E. Freund

  2. Department of Information Technology, Poznan University of Economics and Business, Poznan, Poland

    Wojciech Cellary

Appendix

Appendix

The item texts of the constructs can be seen in Table 3.

Table 3. Items for capturing the participant’s performance attribution (based on [20]).
Full size table

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Brauner, P., Philipsen, R., Calero Valdez, A., Ziefle, M. (2018). 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. In: Freund, L., Cellary, W. (eds) Advances in The Human Side of Service Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 601. Springer, Cham. https://doi.org/10.1007/978-3-319-60486-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60486-2_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60485-5

  • Online ISBN: 978-3-319-60486-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation