Advanced search
1 file | 4.80 MB

A visual analysis of the process of process modeling

Author
Organization
Abstract
The construction of business process models has become an important requisite in the analysis and optimization of processes. The success of the analysis and optimization efforts heavily depends on the quality of the models. Therefore, a research domain emerged that studies the process of process modeling. This paper contributes to this research by presenting a way of visualizing the different steps a modeler undertakes to construct a process model, in a so-called PPMChart. The graphical representation lowers the cognitive efforts to discover properties of the modeling process, which facilitates the research and the development of theory, training and tool support for improving model quality. The paper contains an extensive overview of applications of the tool that demonstrate its usefulness for research and practice and discusses the observations from the visualization in relation to other work. The visualization was evaluated through a qualitative study that confirmed its usefulness and added value compared to the Dotted Chart on which the visualization was inspired.
Keywords
visualization, process model quality. process of process modeling. FEATURE-INTEGRATION-THEORY, Business process management, INFORMATION-SYSTEMS, DIAGRAMS, WORKFLOW, ATTENTION, FRAMEWORK, LANGUAGE, SEARCH

Downloads

  • A visual analysis of the process of process modeling.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 4.80 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Claes, Jan, Irene Vanderfeesten, Jakob Pinggera, Hajo A. Reijers, Barbara Weber, and Geert Poels. 2015. “A Visual Analysis of the Process of Process Modeling.” Information Systems and E-business Management 13 (1): 147–190.
APA
Claes, J., Vanderfeesten, I., Pinggera, J., Reijers, H. A., Weber, B., & Poels, G. (2015). A visual analysis of the process of process modeling. INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT, 13(1), 147–190.
Vancouver
1.
Claes J, Vanderfeesten I, Pinggera J, Reijers HA, Weber B, Poels G. A visual analysis of the process of process modeling. INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT. Springer; 2015;13(1):147–90.
MLA
Claes, Jan, Irene Vanderfeesten, Jakob Pinggera, et al. “A Visual Analysis of the Process of Process Modeling.” INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT 13.1 (2015): 147–190. Print.
@article{4298861,
  abstract     = {The construction of business process models has become an important requisite in the analysis and optimization of processes. The success of the analysis and optimization efforts heavily depends on the quality of the models. Therefore, a research domain emerged that studies the process of process modeling. This paper contributes to this research by presenting a way of visualizing the different steps a modeler undertakes to construct a process model, in a so-called PPMChart. The graphical representation lowers the cognitive efforts to discover properties of the modeling process, which facilitates the research and the development of theory, training and tool support for improving model quality. The paper contains an extensive overview of applications of the tool that demonstrate its usefulness for research and practice and discusses the observations from the visualization in relation to other work. The visualization was evaluated through a qualitative study that confirmed its usefulness and added value compared to the Dotted Chart on which the visualization was inspired.},
  author       = {Claes, Jan and Vanderfeesten, Irene and Pinggera, Jakob and Reijers, Hajo A. and Weber, Barbara and Poels, Geert},
  issn         = {1617-9846},
  journal      = {INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT},
  language     = {eng},
  number       = {1},
  pages        = {147--190},
  publisher    = {Springer},
  title        = {A visual analysis of the process of process modeling},
  url          = {http://dx.doi.org/10.1007/s10257-014-0245-4},
  volume       = {13},
  year         = {2015},
}

Altmetric
View in Altmetric
Web of Science
Times cited: