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Business Processes Modelling Assistance by Recommender Functionalities: A First Evaluation from Potential Users

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Perspectives in Business Informatics Research (BIR 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 295))

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Abstract

Recommender systems are in widespread use in many areas, the most prominent being e-commerce solutions. In this contribution, we apply recommender functionalities to business process modelling (BPM) and investigate their potential to improve process modelling. To do so, we have implemented two prototypes. With the help of the prototype systems that have been demonstrated to and used by participants at a fair, we have conducted a first evaluation from potential users. Our results indicate that increased modelling speed is the most prominent advantage according to the participants’ expectation and that recommender functionalities should be complemented by collaboration features.

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Notes

  1. 1.

    See http://www.cebit.de/.

  2. 2.

    For instance, 90% of the fairgoers at CeBIT 2002 were male: http://www.zdnet.de/2106960/ cebit-18-prozent-weniger-messebesucher-in-2002/ (accessed on 30.05.2017).

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Acknowledgements

The authors are thankful to the European Regional Development Fund (ERDF) for supporting the project SEMPHIS (Semantische Modellierung prozessorientierter Informationssysteme) under number ZW 6-80131109.

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Authors and Affiliations

  1. Institute of Computer Science, University of Rostock, Rostock, Germany

    Michael Fellmann

  2. Information Management and Information Systems Group, Osnabrück University, Osnabrück, Germany

    Novica Zarvić & Oliver Thomas

Authors
  1. Michael Fellmann
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  2. Novica Zarvić
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  3. Oliver Thomas
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Corresponding author

Correspondence to Michael Fellmann .

Editor information

Editors and Affiliations

  1. Lund University, Lund, Sweden

    Björn Johansson

  2. Aalborg University, Aalborg, Denmark

    Charles Møller

  3. Aalborg University, Copenhagen, Denmark

    Atanu Chaudhuri

  4. Aalborg University, Copenhagen, Denmark

    Frantisek Sudzina

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Fellmann, M., Zarvić, N., Thomas, O. (2017). Business Processes Modelling Assistance by Recommender Functionalities: A First Evaluation from Potential Users. In: Johansson, B., Møller, C., Chaudhuri, A., Sudzina, F. (eds) Perspectives in Business Informatics Research. BIR 2017. Lecture Notes in Business Information Processing, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-319-64930-6_6

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