A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies

Baykasoğlu A., Golcuk I., Eren Akyol D.

ANNALS OF OPERATIONS RESEARCH, cilt.251, ss.205-242, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 251
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1007/s10479-015-1895-4
  • Dergi Adı: ANNALS OF OPERATIONS RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.205-242
  • Anahtar Kelimeler: New product pricing, Fuzzy cognitive maps, Hierarchical fuzzy TOPSIS, MADM, COGNITIVE MAPS, HIERARCHY PROCESS, INTERACTING CRITERIA, TOPSIS, DEMAND, MONOPOLIST, SELECTION, SOFTWARE, WARRANTY, SERVICE
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

The aim of this paper is to provide a newfuzzy Multiple-AttributeDecision Making model for evaluating product pricing strategies. The problem is structured in a hierarchical setting. Possible interactions and interdependencies among hierarchically structured criteria are taken into consideration. Since new product pricing decisions entail decision makers' uncertain judgments concerning many interacting factors, Fuzzy Cognitive Maps are employed to analyze causal dependencies among attributes. Finally, decision makers' linguistic assessments are transformed into ranking orders of the pricing strategies using the Technique for Order Preference by Similarity to Ideal Solution. The proposed model is implemented in a Turkish software company. The case study has showed that the proposed model is practical and easy to apply. The proposed model can be incorporated into marketing strategies of wide variety of new products.