Target Marketing Strategy Determination for Shopping Malls Using Fuzzy ANP


Öztayşi B., GÜRBÜZ T. , Albayrak E. , Kahraman C.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, cilt.27, ss.595-623, 2016 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 27
  • Basım Tarihi: 2016
  • Dergi Adı: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Sayfa Sayıları: ss.595-623

Özet

This paper aims to determine the effect of marketing factors (brand mix, consumer, company and market) to target marketing strategies of shopping malls from the managers' perspective and then to segment shoppers according to these factors. A total of 4 dimensions (criteria) and 21 critical success factors (subcriteria) are identified precisely with the experts' opinions and by literature review. Identifying mall strategic factors for a segmented market gives a better understanding about patronage motives than when it is applied to the market as a whole. This enables mall managers to develop the appropriate retailing strategies to satisfy each segment. This study reveals four shopping mall target marketing factors from the managers' perspective: mall brand mix, consumer behaviour, company attributes and market structure. These four dimensions of the best strategy for shopping mall marketing management are analyzed to predict the best targeting strategy in terms of 21 subcriteria.