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Enriching descriptive information in ranking and sorting problems with visualizations techniques

Author

Listed:
  • Philippe Nemery
  • Alessio Ishizaka
  • Mauricio Camargo

    (ERPI - Equipe de Recherche sur les Processus Innovatifs - UL - Université de Lorraine)

  • Laure Morel

    (ERPI - Equipe de Recherche sur les Processus Innovatifs - UL - Université de Lorraine)

Abstract

Purpose - Most of the proposed decision aid methods provide the user only with a prescriptive approach (quantitative analysis) without any descriptive approach (qualitative analysis). It is therefore not possible to justify and recommend ways of improvement. The purpose of this paper is to introduce visualization techniques to complement prescriptive approaches. Design/methodology/approach - Visual techniques have been developed for the FlowSort sorting method, namely the FS-GAIA and stacked bar diagrams. Findings - It is found that with visual techniques, fine details can be captured, e.g. detection of incomparability (with FS-GAIA) and the composition of a score (with stacked bar diagrams). Research limitations/implications - In the future, it is expected that other multi-criteria decision methods will be complemented by prescriptive approaches. Practical implications - A real case study is introduced in order to illustrate the practicality of the visual techniques. In this paper, the innovation performances of small and medium enterprises from the French Lorraine region are assessed. Social implications - It is expected that the quality of the decisions taken are improved because of being better informed. Originality/value - The paper, using a real case study, provides important new tools to enhance decision quality.

Suggested Citation

  • Philippe Nemery & Alessio Ishizaka & Mauricio Camargo & Laure Morel, 2012. "Enriching descriptive information in ranking and sorting problems with visualizations techniques," Post-Print hal-00713057, HAL.
    • Handle: RePEc:hal:journl:hal-00713057
    DOI: 10.1108/17465661211242778
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    Citations

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    Cited by:

    1. Loredana Antronico & Maria Teresa Carone & Roberto Coscarelli, 2023. "An approach to measure resilience of communities to climate change: a case study in Calabria (Southern Italy)," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(4), pages 1-28, April.
    2. Lai, Yi-Ling & Ishizaka, Alessio, 2020. "The application of multi-criteria decision analysis methods into talent identification process: A social psychological perspective," Journal of Business Research, Elsevier, vol. 109(C), pages 637-647.
    3. Ishizaka, Alessio & Siraj, Sajid & Nemery, Philippe, 2016. "Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool," Energy, Elsevier, vol. 95(C), pages 602-611.
    4. Ivana I. Mladenović-Ranisavljević & Lj. Takić & Đ. Nikolić, 2018. "Water Quality Assessment Based on Combined Multi-Criteria Decision-Making Method with Index Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2261-2276, May.
    5. Ana Paula Lopes & Nuria Rodriguez-Lopez, 2021. "A Decision Support Tool for Supplier Evaluation and Selection," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    6. Alessio Ishizaka & Sharfuddin Ahmed Khan & Siamak Kheybari & Syed Imran Zaman, 2023. "Supplier selection in closed loop pharma supply chain: a novel BWM–GAIA framework," Annals of Operations Research, Springer, vol. 324(1), pages 13-36, May.
    7. Sarrazin, R. & De Smet, Y. & Rosenfeld, J., 2018. "An extension of PROMETHEE to interval clustering," Omega, Elsevier, vol. 80(C), pages 12-21.
    8. Angilella, Silvia & Mazzù, Sebastiano, 2015. "The financing of innovative SMEs: A multicriteria credit rating model," European Journal of Operational Research, Elsevier, vol. 244(2), pages 540-554.
    9. Boly, Vincent & Morel, Laure & Assielou, N’Doli Guillaume & Camargo, Mauricio, 2014. "Evaluating innovative processes in french firms: Methodological proposition for firm innovation capacity evaluation," Research Policy, Elsevier, vol. 43(3), pages 608-622.
    10. Muñoz, Camila & Galvez, Daniel & Enjolras, Manon & Camargo, Mauricio & Alfaro, Miguel, 2022. "Relationship between innovation and exports in enterprises: A support tool for synergistic improvement plans," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

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