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Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS
Expert Systems with Applications 2012 Cilt 39 Sayı 3
Scopus Eşleşmesi Bulundu
124
Atıf
39
Cilt
2822-2841
Sayfa
Özet
Distribution channel management not only consists of choosing distribution channels. In fact, probably the most difficult phase of the distribution management starts after this choice. Determining an appropriate organization strategy for distribution channel management is like a problem of concern to marketing practitioners and academics as well in this phase. In this study, the organization strategy of distribution channel management is developed using fuzzy analytic hierarchy process (FAHP) and hierarchical fuzzy TOPSIS (HFTOPSIS) for an edible-vegetable oils manufacturer firm operating in Turkey. The company distributes its products all over the country. Due to the complex structure of the distribution network, the company wants to decide the organization strategy to manage the distribution channels. In this paper, the methods of FAHP and HFTOPSIS for evaluating and selecting among the five organization strategy models for distribution channel management of vegetable oil manufacturer have been presented. The proposed models include determinants of distribution channel management for edible-vegetable oil industry; (i) customer profile, (ii) distributor reliability, (iii) the position of competitors in market, and (iv) managerial and financial perspective. Using FAHP and HFTOPSIS, hybrid based strategy (KBS), which has the greatest desirability index value after the evaluation among the five alternatives is found as the best choice. Thus, the case of the vegetable oil manufacturer company provides the researchers and practitioners to understand in a better way the importance of developing organization strategy in channel management from a practical point of view. © 2011 Elsevier Ltd. All rights reserved.
Web of Science Eşleşmesi Bulundu
99
WoS Atıf
39
Cilt
Article
Belge Türü
Kaynak: EXPERT SYSTEMS WITH APPLICATIONS · s. 2822-2841
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Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2012 yılı verileri
Expert Systems with Applications
Q1
SJR Quartile
1,148
SJR Skoru
290
H-Index
Kategoriler: Artificial Intelligence (Q1) · Computer Science Applications (Q1) · Engineering (miscellaneous) (Q1)
Alanlar: Computer Science · Engineering
Ülke: United Kingdom · Elsevier Ltd
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

Anahtar Kelimeler

Makale Bilgileri

Dergi Expert Systems with Applications
ISSN 09574174
Yıl 2012 / 2. ay
Cilt / Sayı 39 / 3
Sayfalar 2822 – 2841
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 3 kişi
Erişim Türü Elektronik
Alan Fen Bilimleri ve Matematik Temel Alanı- İstatistik

YÖKSİS Yazar Kaydı

Yazar Adı PAKSOY TURAN,YAPICI PEHLİVAN NİMET,KAHRAMAN CENGİZ
YÖKSİS ID 690539

Metrikler

Scopus Atıf 124
Havuz Atıfları 0
Yazar Sayısı 3