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International Conference on Intelligent Decision Technologies

IDT 2017: Intelligent Decision Technologies pp 563–574Cite as

Leveraging Textual Information for Improving Decision-Making in the Business Process Lifecycle

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 39))

Abstract

Business process implementations fail, because requirements are elicited incompletely. At the same time, a huge amount of unstructured data is not used for decision-making during the business process lifecycle. Data from questionnaires and interviews is collected but not exploited because the effort doing so is too high. Therefore, this paper shows how to leverage textual information for improving decision making in the business process lifecycle. To do so, text mining is used for analyzing questionnaires and interviews.

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Author information

Authors and Affiliations

  1. Munich University of Applied Sciences, Munich, Germany

    Rainer Schmidt

  2. Aalen University of Applied Sciences, Aalen, Germany

    Michael Möhring, Ralf-Christian Härting, Jan Heitmann & Franziska Blum

  3. Reutlingen University, Reutlingen, Germany

    Alfred Zimmermann

Authors
  1. Rainer Schmidt
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  2. Michael Möhring
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  3. Ralf-Christian Härting
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  4. Alfred Zimmermann
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  5. Jan Heitmann
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  6. Franziska Blum
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Editor information

Editors and Affiliations

  1. FCT, Universidade Nova de Lisboa, Caparica, Portugal

    Rui Neves-Silva

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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© 2015 Springer International Publishing Switzerland

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Schmidt, R., Möhring, M., Härting, RC., Zimmermann, A., Heitmann, J., Blum, F. (2015). Leveraging Textual Information for Improving Decision-Making in the Business Process Lifecycle. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_48

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  • DOI: https://doi.org/10.1007/978-3-319-19857-6_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19856-9

  • Online ISBN: 978-3-319-19857-6

  • eBook Packages: EngineeringEngineering (R0)

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