Can Coffee Consumption Influence Business Process Modeling Behavior?

  • Michael MöhringEmail author
  • Rainer Schmidt
  • Ralf-Christian Härting
  • Christopher Reichstein
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 256)


Improving the quality and efficiency of modeling is an important goal of many research approaches. A number of influence factors outside the modeling environment are investigated. To measure the influence objective measures are necessary. Therefore, this paper strives to create a foundation for such a measures, by measuring the influence of caffeine on the modeling performance. Choosing caffeine has the important advantage to provide an unbiased setting. The possible path of influence of caffeine on the modeling performance is analyzed. A research model is developed and the result of a pre-study are discussed.


Human centric BPM Coffee consumption Modeling Influence factor Process modeling Modeling behavior Outside normal modeling environment Neuro IS 



We thank Franziska Blum, Lisa Sobottka as well as the undergraduate students of the experiment for supporting our work!


  1. [AA15]
    Business Insider. Modest coffee consumption good for the heart: study (2015).
  2. [Alba97]
    Albaum, G.: The Likert scale revisited. J. Market Res. Soc. 39, 331–348 (1997)Google Scholar
  3. [Atki99]
    Atkinson, R.: Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. Int. J. Project Manage. 17(6), 337–342 (1999)CrossRefGoogle Scholar
  4. [ATWR13]
    Ayora, C., Torres, V., Weber, B., Reichert, M., Pelechano, V.: Enhancing modeling and change support for process families through change patterns. In: Nurcan, S., Proper, H.A., Soffer, P., Krogstie, J., Schmidt, R., Halpin, T., Bider, I. (eds.) BPMDS 2013 and EMMSAD 2013. LNBIP, vol. 147, pp. 246–260. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  5. [ChBe94]
    Chou, T.M., Benowitz, N.L.: Caffeine and coffee: effects on health and cardiovascular disease. Comp. Biochem. Physiol. C: Pharmacol. Toxicol. Endocrinol. 109(2), 173–189 (1994)Google Scholar
  6. [ChTr12]
    Chinosi, M., Trombetta, A.: BPMN: an introduction to the standard. Comput. Stand. Interfaces 34(1), 124–134 (2012)CrossRefGoogle Scholar
  7. [EGHJ10]
    Erol, S., et al.: Combining BPM and social software: contradiction or chance? J. Softw. Maintenance Evol. Res. Pract. 22, 6-7, 449–476 (2010)Google Scholar
  8. [EWHB93]
    Eccles, J., Wigfield, A., Harold, R.D., Blumenfeld, P.: Age and gender differences in children's self-and task perceptions during elementary school. Child Dev. 64(3), 830–847 (1993)CrossRefGoogle Scholar
  9. [Fabr92]
    Fabricant, F.: Americans Wake Up and Smell the Coffee (1992).
  10. [Flow00]
    Flowcentric: coffee Archives - FlowCentric Business Process Management Solutions.
  11. [FrMP11]
    Friedrich, F., Mendling, J., Puhlmann, F.: Process model generation from natural language text. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 482–496. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  12. [Harv00]
    Harvard: Coffee by the Numbers | News | Harvard T.H. Chan School of Public Health.
  13. [Mand02]
    Mandel, H.G.: Update on caffeine consumption, disposition and action. Food Chem. Toxicol. 40(9), 1231–1234 (2002)CrossRefGoogle Scholar
  14. [Nesp00]
  15. [NPTM13]
    Nissen, V. et al.: A Cost Calculation Model for Determining the Cost of Business Process Modelling Projects. Universitätsbibliothek Ilmenau (2013)Google Scholar
  16. [ReMe11]
    Reijers, H., Mendling, J.: A study into the factors that influence the understandability of business process models. IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. 41(3), 449–462 (2011)CrossRefGoogle Scholar
  17. [RiSe10]
    Ribeiro, J.A., Sebastiao, A.M.: Caffeine and adenosine. J. Alzheimer’s Dis. 20, 3–15 (2010)Google Scholar
  18. [Sche00]
    Scheer, A.W.: ARIS-Business Process Modeling. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  19. [ScNü00]
    Scheer, A.-W., Nüttgens, M.: ARIS architecture and reference models for business process management. In: van der Aalst, W.M., Desel, J., Oberweis, A. (eds.) Business Process Management. LNCS, vol. 1806, pp. 376–389. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  20. [ScNu09]
    Schmidt, R., Nurcan, S.: BPM and social software. In: Ardagna, D., Mecella, M., Yang, J. (eds.) BPM 2008 Workshop. LNBIP, vol. 17, pp. 649–658. Springer, Heidelberg (2009)Google Scholar
  21. [SMHZ15]
    Schmidt, R., Möhring, M., Härting, R.C., Zimmermann, A., Heitmann, J., Blum, F.: Leveraging textual information for improving decision-making in the business process lifecycle. In: Neves-Silva, R., Jain, L.C., Howlett, R.J. (eds.) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies. Springer, Switzerland (2015)Google Scholar
  22. [Wesk07]
    Weske, M.: Business Process Management: Concepts, Languages, Architectures. Springer, Heidelberg (2007)Google Scholar
  23. [ZiBa05]
    Zikmund, W.G., Babin, B.J.: Exploring Marketing Research. South Western Educ Pub, Mason (2005)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Michael Möhring
    • 2
    Email author
  • Rainer Schmidt
    • 2
  • Ralf-Christian Härting
    • 1
  • Christopher Reichstein
    • 1
  1. 1.Hochschule AalenAalenGermany
  2. 2.Hochschule MünchenMunichGermany

Personalised recommendations