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Process Mining of Periodic Rating Scale Survey Data Using Analytic Hierarchy Process

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Business Information Systems Workshops (BIS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 339))

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Abstract

The main purpose of our research is to propose original algorithm to evaluate the dynamic behavior of processes from the survey data collected with the help of periodically repeated surveys based on Likert scale questions. This approach supposes the usage of AHP (Analytic Hierarchy Process) for assessment the factors influencing the process behavior. Our idea is to use the aggregated periodic rating scale data as alternatives inputs for AHP evaluation. The practical usefulness of proposed process quality evaluation technique was proved by examining particular Polish rehabilitation hospital service quality changes over time frame from 2008 to 2017.

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Acknowledgement

This work was performed within the framework of the COST action “European Network for cost containment and improved quality of health care” http://www.cost.eu/COST_Actions/ca/CA15222, and was also supported by funding from National Science Centre, Poland (grant number: 2015/17/B/HS4/02747).

Author information

Authors and Affiliations

  1. Institute of Applied Informatics, Vilnius University, Universiteto str.3, Vilnius, Lithuania

    Dalia Kriksciuniene & Virgilijus Sakalauskas

  2. Management Faculty, University of Social Sciences, Lodz, Poland

    Roman Lewandowski

Authors
  1. Dalia Kriksciuniene
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  2. Virgilijus Sakalauskas
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  3. Roman Lewandowski
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Corresponding author

Correspondence to Virgilijus Sakalauskas .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. Fraunhofer FOKUS, Berlin, Berlin, Germany

    Adrian Paschke

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Kriksciuniene, D., Sakalauskas, V., Lewandowski, R. (2019). Process Mining of Periodic Rating Scale Survey Data Using Analytic Hierarchy Process. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems Workshops. BIS 2018. Lecture Notes in Business Information Processing, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-04849-5_8

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  • DOI: https://doi.org/10.1007/978-3-030-04849-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04848-8

  • Online ISBN: 978-3-030-04849-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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