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Simplified Pivot Pairwise Relative Criteria Importance Assessment (Piprecia-S) Method

Author

Listed:
  • Dragisa STANUJKIC

    (Technical Faculty in Bor, University of Belgrade, Serbia.)

  • Darjan KARABASEVIC

    (Faculty of Applied Management, Economics, and Finance, University Business Academy in Novi Sad, Belgrade, Serbia.)

  • Gabrijela POPOVIC

    (Faculty of Applied Management, Economics, and Finance, University Business Academy in Novi Sad, Belgrade, Serbia.)

  • Cipriana SAVA

    (Faculty of Tourism and Commercial Management, Christian University “D. Cantemir” Timisoara, Romania.)

Abstract

This article aims to consider and propose the use of a simplified variant of the PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) method. Unlike the PIPRECIA method, where the significance of the criteria is determined in regards to the previous one, in the case of the Simplified PIPRECIA method the comparison of all criteria is done in regards to the significance of the first criterion, which should facilitate the expression of respondents' attitudes, especially when attitudes of ordinary respondents are needed for research. Since the PIPRECIA method is subjective, the Simplified PIPRECIA method is specifically designed for use with interactive questionnaires designed in a spreadsheet program so that respondents can numerically and graphically see the results obtained based on their attitudes, and correct them as needed. The article discusses three examples of using the Simplified PIPRECIA (PIPRECIA-S) method for determining the criteria weights, as well as evaluating alternatives.

Suggested Citation

  • Dragisa STANUJKIC & Darjan KARABASEVIC & Gabrijela POPOVIC & Cipriana SAVA, 2021. "Simplified Pivot Pairwise Relative Criteria Importance Assessment (Piprecia-S) Method," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 141-154, December.
    • Handle: RePEc:rjr:romjef:v::y:2021:i:4:p:141-154
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    References listed on IDEAS

    as
    1. Alptekin Ulutaş & Gabrijela Popovic & Dragisa Stanujkic & Darjan Karabasevic & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2020. "A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods," Mathematics, MDPI, vol. 8(10), pages 1-14, October.
    2. Qingpeng Cao & Moses Olabhele Esangbedo & Sijun Bai & Caroline Olufunke Esangbedo, 2019. "Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation," Energies, MDPI, vol. 12(13), pages 1-30, June.
    3. Dragisa STANUJKIC & Edmundas Kazimieras ZAVADSKAS & Darjan KARABASEVIC & Florentin SMARANDACHE & Zenonas TURSKIS, 2017. "The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 116-133, December.
    4. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    5. Dragiša Stanujkić & Darjan Karabašević & Gabrijela Popović & Predrag S. Stanimirović & Muzafer Saračević & Florentin Smarandache & Vasilios N. Katsikis & Alptekin Ulutaş, 2021. "A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment," Mathematics, MDPI, vol. 9(13), pages 1-16, July.
    6. Mahmut BAKIR & Şahap AKAN & Kasım KIRACI & Darjan KARABASEVIC & Dragisa STANUJKIC & Gabrijela POPOVIC, 2020. "Multiple-Criteria Approach of the Operational Performance Evaluation in the Airline Industry: Evidence from the Emerging Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 149-172, July.
    7. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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    Cited by:

    1. Sanjib Biswas & Aparajita Sanyal & Darko Božanić & Adis Puška & Dragan Marinković, 2023. "Critical Success Factors for 5G Technology Adaptation in Supply Chains," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    2. Željko STEVIĆ & Dajana NUNIĆ & Ibrahim BADI & Darjan KARABAŠEVIĆ, 2022. "Evaluation of dimensions of SERVQUAL model for determining quality of processes in reverse logistics using a Delphi – Fuzzy PIPRECIA model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 139-159, April.

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    More about this item

    Keywords

    criteria weights; PIPRECIA; Simplified PIPRECIA; PIPRECIA-S; website evaluation; wineries;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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