@Article{AJ_2019.07.02.OR.02,
    doi     = { 10.17093/alphanumeric.451247 },
    author  = { Namık Kemal Erdoğan and Ahmet Onay and Çağlar Karamaşa },
    title   = { Measuring the Performance of Retailer Firms Listed in BIST under the Balanced Scorecard Perspective by Using Interval Valued Pythagorean Fuzzy AHP Based Pythagorean Fuzzy TODIM Methodology },
    abstract = { The philosophy behind the Balanced Scorecard is the necessity for an operator to transform non-financial criteria into data sources for the management information system, as well as financial criteria for all governance levels. The Balanced Scorecard introduces solutions to the problems that arise from the failures encountered in strategic management and the inadequacy of traditional performance management systems that lag behind the information age in today's intensely competitive environment, which is pushing businesses more and more. In this study the performance of 12 retailer firms listed in BIST are measured under the balanced scorecard (BSC) perspective by handling 4 main criteria (financial, customer, internal business process and learning & growth perspectives). Pythagorean fuzzy sets (PFS) are considered in order to better represent experts’ judgments under inconsistent and indeterminate environment. Following that TODIM methodology, that analyzes decision makers’ psychological behaviors under risk, is used to rank the firms. While economic loyalty sub criterion was found as the most important one, participation in management was acquired as the least important one after applying interval valued Pythagorean fuzzy AHP. Finally, Firm F was ranked as the most successful firm according to decision makers under balanced scorecard performance criteria. }
    journal = { Alphanumeric Journal },
    year    = { 2019 },
    volume  = { 7 },
    number  = { 2 },
    pages   = { 333-350 },
    url     = { https://alphanumericjournal.com/article/measuring-the-performance-of-retailer-firms-listed-in-bist-under-the-balanced-scorecard-perspective-by-using-interval-valued-pythagorean-fuzzy-ahp-based-pythagorean-fuzzy-todim-methodology },
}