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Conceptualizing Bots in Robotic Process Automation

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Conceptual Modeling (ER 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13011))

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Abstract

Promising automation of repetitive tasks and release of manpower, Robotic Process Automation (RPA) continues to be a fast-growing market in the IT industry. The industry-driven advancement also comes with disadvantages. Each vendor established their own terminology and ecosystem, impeding communication, integration, and comparisons between RPA systems. In consequence, terminology and concepts are heterogeneous and not well understood. As a result, the scientific exchange lacks a consistent vocabulary. This paper proposes a vendor-independent conceptualization of RPA robots, their constituent parts and the relationships between those. It aims at providing a conceptual foundation for the further scientific investigation of RPA robots.

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Notes

  1. 1.

    https://www.uipath.com/ (accessed 27.04.2021).

  2. 2.

    https://github.com/automagica/automagica/tree/ae8a1846f2 (latest open-source version, accessed 27.04.2021).

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Authors and Affiliations

  1. Hasso Plattner Institute, University of Potsdam, Potsdam, Germany

    Maximilian Völker & Mathias Weske

Authors
  1. Maximilian Völker
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  2. Mathias Weske
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Corresponding author

Correspondence to Maximilian Völker .

Editor information

Editors and Affiliations

  1. School of Computing and IT, University of Wollongong, Wollongong, NSW, Australia

    Aditya Ghose

  2. Department of Computer Science and Engineering, Chalmers | University of Gothenburg, Gothenburg, Sweden

    Jennifer Horkoff

  3. Universidade Federal do EspĂ­rito Santo, VitĂłria, Brazil

    VĂ­tor E. Silva Souza

  4. Faculty of Business Administration, Memorial University of Newfoundland, St. John's, NL, Canada

    Jeffrey Parsons

  5. Faculty of Business Administration, Memorial University of Newfoundland, St. John's, NL, Canada

    Joerg Evermann

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Völker, M., Weske, M. (2021). Conceptualizing Bots in Robotic Process Automation. In: Ghose, A., Horkoff, J., Silva Souza, V.E., Parsons, J., Evermann, J. (eds) Conceptual Modeling. ER 2021. Lecture Notes in Computer Science(), vol 13011. Springer, Cham. https://doi.org/10.1007/978-3-030-89022-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-89022-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89021-6

  • Online ISBN: 978-3-030-89022-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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