IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v61y2019i2d10.1007_s12599-017-0483-3.html
   My bibliography  Save this article

Visual ppinot: A Graphical Notation for Process Performance Indicators

Author

Listed:
  • Adela del-Río-Ortega

    (Universidad de Sevilla)

  • Manuel Resinas

    (Universidad de Sevilla)

  • Amador Durán

    (Universidad de Sevilla)

  • Beatriz Bernárdez

    (Universidad de Sevilla)

  • Antonio Ruiz-Cortés

    (Universidad de Sevilla)

  • Miguel Toro

    (Universidad de Sevilla)

Abstract

Process performance indicators (PPIs) allow the quantitative evaluation of business processes, providing essential information for decision making. It is common practice today that business processes and PPIs are usually modelled separately using graphical notations for the former and natural language for the latter. This approach makes PPI definitions simple to read and write, but it hinders maintenance consistency between business processes and PPIs. It also requires their manual translation into lower-level implementation languages for their operationalisation, which is a time-consuming, error-prone task because of the ambiguities inherent to natural language definitions. In this article, Visual ppinot, a graphical notation for defining PPIs together with business process models, is presented. Its underlying formal metamodel allows the automated processing of PPIs. Furthermore, it improves current state-of-the-art proposals in terms of expressiveness and in terms of providing an explicit visualisation of the link between PPIs and business processes, which avoids inconsistencies and promotes their co-evolution. The reference implementation, developed as a complete tool suite, has allowed its validation in a multiple-case study, in which five dimensions of Visual ppinot were studied: expressiveness, precision, automation, understandability, and traceability.

Suggested Citation

  • Adela del-Río-Ortega & Manuel Resinas & Amador Durán & Beatriz Bernárdez & Antonio Ruiz-Cortés & Miguel Toro, 2019. "Visual ppinot: A Graphical Notation for Process Performance Indicators," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(2), pages 137-161, April.
    • Handle: RePEc:spr:binfse:v:61:y:2019:i:2:d:10.1007_s12599-017-0483-3
    DOI: 10.1007/s12599-017-0483-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-017-0483-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12599-017-0483-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stefan Jakoubi & Simon Tjoa & Sigrun Goluch & Gerhard Kitzler, 2010. "Risk-Aware Business Process Management—Establishing the Link Between Business and Security," Springer Optimization and Its Applications, in: Fatos Xhafa & Leonard Barolli & Petraq J. Papajorgji (ed.), Complex Intelligent Systems and Their Applications, chapter 0, pages 109-135, Springer.
    2. August-Wilhelm Scheer & Wolfram Jost & Helge Heß & Andreas Kronz, 2006. "Corporate Performance Management," Springer Books, Springer, number 978-3-540-30787-7, December.
    3. Wil M. P. Aalst, 2015. "Extracting Event Data from Databases to Unleash Process Mining," Management for Professionals, in: Jan vom Brocke & Theresa Schmiedel (ed.), BPM - Driving Innovation in a Digital World, edition 127, pages 105-128, Springer.
    4. Andreas Kronz, 2006. "Managing of Process Key Performance Indicators as Part of the ARIS Methodology," Springer Books, in: Corporate Performance Management, pages 31-44, Springer.
    5. Arash Shahin & M. Ali Mahbod, 2007. "Prioritization of key performance indicators," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(3), pages 226-240, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amy Van Looy & Peter Trkman & Els Clarysse, 2022. "A Configuration Taxonomy of Business Process Orientation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 133-147, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gözaçan Nazlıcan & Lafci Çisem, 2020. "Evaluation of Key Performance Indicators of Logistics Firms," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 11(1), pages 24-32, February.
    2. Monika Widz & Renata Krukowska & Bartłomiej Walas & Zygmunt Kruczek, 2022. "Course of Values of Key Performance Indicators in City Hotels during the COVID-19 Pandemic: Poland Case Study," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    3. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    4. Rodriguez-Calvo, Andrea & Cossent, Rafael & Frías, Pablo, 2018. "Scalability and replicability analysis of large-scale smart grid implementations: Approaches and proposals in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 1-15.
    5. Ali Dadashzade, 2018. "Data Quality in Banking System:Case of Azerbaijan," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 7(2), pages 01-08, April.
    6. Sowińska-Świerkosz, Barbara & Soszyński, Dawid, 2022. "Spatial indicators as a tool to support the decision-making process in relation to different goals of rural planning," Land Use Policy, Elsevier, vol. 119(C).
    7. Kamvysi, Konstantina & Gotzamani, Katerina & Andronikidis, Andreas & Georgiou, Andreas C., 2014. "Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1083-1094.
    8. Yusuf A. Adenle & Edwin H. W. Chan & Yi Sun & C.K. Chau, 2020. "Modifiable Campus-Wide Appraisal Model (MOCAM) for Sustainability in Higher Education Institutions," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    9. Pan Wu & Guoyan Zhao & Yang Li, 2022. "Green Mining Strategy Selection via an Integrated SWOT-PEST Analysis and Fuzzy AHP-MARCOS Approach," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    10. Rafika Thabet & Dominik Bork & Amine Boufaied & Elyes Lamine & Ouajdi Korbaa & Hervé Pingaud, 2021. "Risk-aware business process management using multi-view modeling: method and tool," Post-Print hal-03202277, HAL.
    11. Julio Cesar Ferro de Guimarães & Eliana Andréa Severo & César Ricardo Maia de Vasconcelos, 2017. "Sustainable Competitive Advantage: A Survey of Companies in Southern Brazil," Brazilian Business Review, Fucape Business School, vol. 14(3), pages 352-367, May.
    12. Park, Jaehun & Lee, Byung Kwon, 2020. "Liner-dedicated manageability estimation for port operational reliability," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    13. Habib M. Alshuwaikhat & Ismaila R. Abubakar & Yusuf A. Aina & Yusuf A. Adenle & Muhammad Umair, 2017. "The Development of a GIS-Based Model for Campus Environmental Sustainability Assessment," Sustainability, MDPI, vol. 9(3), pages 1-23, March.
    14. Bentes, Alexandre Veronese & Carneiro, Jorge & da Silva, Jorge Ferreira & Kimura, Herbert, 2012. "Multidimensional assessment of organizational performance: Integrating BSC and AHP," Journal of Business Research, Elsevier, vol. 65(12), pages 1790-1799.
    15. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    16. Daniela Madrazo-Ortega & Maria Molinos-Senante, 2023. "Quantifying Progress Made in Achieving Sustainable Development Goal 6 in Chile: A Holistic and Local Approach," Sustainability, MDPI, vol. 15(5), pages 1-18, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:61:y:2019:i:2:d:10.1007_s12599-017-0483-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.