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EuroSymposium on Systems Analysis and Design

SIGSAND/PLAIS 2015: Information Systems: Development, Applications, Education pp 89–99Cite as

Beyond BPMN Data Objects – Method Tailoring and Assessment

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 232))

Abstract

Data-related modeling capabilities within Business Process Model and Notation (BPMN) are intentionally restricted to being handled within dynamic process perspective and do not enable implementation of individual processes in dedicated workflow engines and/or iterative improvement of process specifications by running simulations using specialized software. Thus, achieving the level of executable processes effectively is largely dependent on the proper selection and introducing notations that are complementary to BPMN. The current paper is aimed at identification of suitable complementary techniques to support the organizations’ business process models with document and data structure-oriented specifications as well as verification of the support for such techniques among future business analysts. Authors develop and exemplify original UML profile for BPMN data object modeling that serves as a basis for acceptance research. Models prepared with the profile are assessed using a questionnaire survey designed in accordance with Unified Theory of Acceptance and Use of Technology (UTAUT).

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Author information

Authors and Affiliations

  1. Department of Business Informatics, Gdansk University, Piaskowa 9, 81-864, Sopot, Poland

    Bartosz Marcinkowski & Bartlomiej Gawin

Authors
  1. Bartosz Marcinkowski
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  2. Bartlomiej Gawin
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Corresponding author

Correspondence to Bartosz Marcinkowski .

Editor information

Editors and Affiliations

  1. University of Gdansk, Sopot, Poland

    Stanislaw Wrycza

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Marcinkowski, B., Gawin, B. (2015). Beyond BPMN Data Objects – Method Tailoring and Assessment. In: Wrycza, S. (eds) Information Systems: Development, Applications, Education. SIGSAND/PLAIS 2015. Lecture Notes in Business Information Processing, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-319-24366-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-24366-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24365-8

  • Online ISBN: 978-3-319-24366-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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