Skip to main content
SpringerLink
Log in

Towards a Structured Process Modeling Method: Building the Prescriptive Modeling Theory

Regular Paper

  • Conference paper
  • First Online:
Business Process Management Workshops (BPM 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 281))

Included in the following conference series:

Abstract

In their effort to control and manage processes, organizations often create process models. The quality of such models is not always optimal, because it is challenging for a modeler to translate her mental image of the process into a formal process description. In order to support this complex human processing task, we are developing a smart process modeling method. This paper describes how we have built the underlying prescriptive theory, which is constructed from existing evidence about successful information processing techniques in cognitive psychology.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management. Springer, Heidelberg (2013)

    Book  Google Scholar 

  2. Sánchez-González, L., García, F., Ruiz, F., Piattini, M.: Toward a quality framework for business process models. Int. J. Coop. Inf. Syst. 22(01), 1–15 (2013)

    Article  Google Scholar 

  3. De Meyer, P.: Kwaliteit van procesmodellen: literatuurstudie (2015)

    Google Scholar 

  4. Pinggera, J., Zugal, S., Weidlich, M., Fahland, D., Weber, B., Mendling, J., Reijers, H.A.: Tracing the process of process modeling with modeling phase diagrams. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011. LNBIP, vol. 99, pp. 370–382. Springer, Heidelberg (2012). doi:10.1007/978-3-642-28108-2_36

    Chapter  Google Scholar 

  5. Pinggera, J., Soffer, P., Fahland, D., Weidlich, M., Zugal, S., Weber, B., Reijers, H.A., Mendling, J.: Styles in business process modeling: an exploration and a model. Softw. Syst. Model. 14(3), 1055–1080 (2013)

    Article  Google Scholar 

  6. Becker, J., Rosemann, M., Uthmann, C.: Guidelines of business process modeling. In: Aalst, W., Desel, J., Oberweis, A. (eds.) Business Process Management. LNCS, vol. 1806, pp. 30–49. Springer, Heidelberg (2000). doi:10.1007/3-540-45594-9_3

    Chapter  Google Scholar 

  7. Mendling, J., Reijers, H.A., Van der Aalst, W.M.P.: Seven process modeling guidelines (7PMG). Inf. Softw. Technol. 52(2), 127–136 (2010)

    Article  Google Scholar 

  8. Claes, J., et al.: Tying process model quality to the modeling process: the impact of structuring, movement, and speed. In: Barros, A., Gal, A., Kindler, E. (eds.) BPM 2012. LNCS, vol. 7481, pp. 33–48. Springer, Heidelberg (2012). doi:10.1007/978-3-642-32885-5_3

    Chapter  Google Scholar 

  9. Claes, J., Vanderfeesten, I., Pinggera, J., Reijers, H.A., Weber, B., Poels, G.: A visual analysis of the process of process modeling. Inf. Syst. E-bus. Manag. 13(1), 147–190 (2015)

    Article  Google Scholar 

  10. Gregor, S.: The nature of theory in information systems. MIS Q. 30(3), 611–642 (2006)

    Google Scholar 

  11. Claes, J., Vanderfeesten, I., Gailly, F., Grefen, P., Poels, G.: The structured process modeling theory (SPMT) - a cognitive view on why and how modelers benefit from structuring the process of process modeling. Inf. Syst. Front. 17(6), 1401–1425 (2015)

    Article  Google Scholar 

  12. Nelson, H.J., Poels, G., Genero, M., Piattini, M.: A conceptual modeling quality framework. Softw. Qual. J. 20(1), 201–228 (2012)

    Article  Google Scholar 

  13. Krogstie, J., Sindre, G., Jørgensen, H.: Process models representing knowledge for action: a revised quality framework. Eur. J. Inf. Syst. 15(1), 91–102 (2006)

    Article  Google Scholar 

  14. Lindland, O.I., Sindre, G., Solvberg, A.: Understanding quality in conceptual modeling. IEEE Softw. 11(2), 42–49 (1994)

    Article  Google Scholar 

  15. Recker, J.C., Rosemann, M., Indulska, M., Green, P.: Business process modeling: a comparative analysis. J. Assoc. Inf. Syst. 10(4), 333–363 (2009)

    Google Scholar 

  16. Rosemann, M.: Potential pitfalls of process modeling: part A. Bus. Process Manag. J. 12(2), 249–254 (2006)

    Article  Google Scholar 

  17. Moreno-Montes de Oca, I., Snoeck, M., Reijers, H.A., Rodríguez-Morffi, A.: A systematic literature review of studies on business process modeling quality. Inf. Softw. Technol. 58, 187–205 (2014)

    Article  Google Scholar 

  18. Silver, B.: BPMN: Method and Style. Cody-Cassidy Press, Altadena (2011)

    Google Scholar 

  19. Soffer, P., Kaner, M., Wand, Y.: Towards understanding the process of process modeling: theoretical and empirical considerations. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011. LNBIP, vol. 99, pp. 357–369. Springer, Heidelberg (2012). doi:10.1007/978-3-642-28108-2_35

    Chapter  Google Scholar 

  20. Recker, J.C., Safrudin, N., Rosemann, M.: How novices design business processes. Inf. Syst. 37(6), 557–573 (2012)

    Article  Google Scholar 

  21. Sedrakyan, G., Snoeck, M., De Weerdt, J.: Process mining analysis of conceptual modeling behavior of novices: empirical study using JMermaid modeling and experimental logging environment. Comput. Hum. Behav. 41, 486–503 (2014)

    Article  Google Scholar 

  22. Keefe, J.W.: Learning style: an overview. In: Proceedings NASSP’s Student Learning Styles: Diagnosing and Proscribing Programs, pp. 1–17 (1979)

    Google Scholar 

  23. Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Eng. Educ. 78, 674–681 (1988)

    Google Scholar 

  24. Felder, R.M.: Reaching the second tier: learning and teaching styles in college science education. J. Coll. Sci. Teach. 23(5), 286–290 (1993)

    Google Scholar 

  25. Pask, G.: Learning strategies, teaching strategies, and conceptual or learning style. In: Schmeck, R.R. (ed.) Proceedings Learning Strategies and Learning Styles, pp. 83–100. Springer, New York (1988)

    Chapter  Google Scholar 

  26. Pask, G.: Styles and strategies of learning. Br. J. Educ. Psychol. 46(2), 128–148 (1976)

    Article  Google Scholar 

  27. Witkin, H.A., Moore, C.A., Goodenough, D.R., Cox, P.W.: Field-dependent and field-independent cognitive styles and their educational implications. Rev. Educ. Res. 47(1), 1–64 (1977)

    Article  Google Scholar 

  28. Ekstrom, R.B., French, J.W., Harman, H.H.: Kit of factor-referenced cognitive tests, Princeton, New Jersey (1976)

    Google Scholar 

  29. Wooldridge, B., Haimes-Bartolf, M.: The field dependence/field independence learning styles: implications for adult student diversity, outcomes assessment and accountability. In: Proceedings Learning Styles and Learning: A Key to Meeting the Accountability Demands in Education, pp. 237–257 (2006)

    Google Scholar 

  30. Thompson, M.M., Naccarato, M.E., Parker, K.C.H., Moskowitz, G.B.: The personal need for structure and personal fear of invalidity measures: historical perspectives, current applications, and future directions. In: Proceedings Cognitive Social Psychology: The Princeton Symposium on the Legacy and Future of Social Cognition, pp. 19–39 (2001)

    Google Scholar 

  31. Neuberg, S.L., Newsom, J.T.: Personal need for structure: individual differences in the desire for simpler structure. J. Pers. Soc. Psychol. 65(1), 113–131 (1993)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Business Informatics and Operations Management, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium

    Jan Claes, Frederik Gailly & Geert Poels

  2. Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Postbus 513, 5600 MB, Eindhoven, The Netherlands

    Irene Vanderfeesten & Paul Grefen

Authors
  1. Jan Claes
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Irene Vanderfeesten
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Frederik Gailly
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Paul Grefen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Geert Poels
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jan Claes .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Marlon Dumas

  2. School of Arts, Sciences and Humanities, University of São Paulo, Sao Paulo, São Paulo, Brazil

    Marcelo Fantinato

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Claes, J., Vanderfeesten, I., Gailly, F., Grefen, P., Poels, G. (2017). Towards a Structured Process Modeling Method: Building the Prescriptive Modeling Theory. In: Dumas, M., Fantinato, M. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-58457-7_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-58457-7_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58456-0

  • Online ISBN: 978-3-319-58457-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation