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Competitive Positioning in International Logistics: Identifying a System of Attributes Through Neural Networks and Decision Trees

Firms involved in international logistics must develop a system of service attributes that give them a way to be profitable and to satisfy customers’ needs at the same time. How customers trade-off these various attributes in forming satisfaction with competing international logistics providers has not been explored well in the literature. This study explores the ocean freight shipping sector to identify the system of attributes that maximizes customers’ satisfaction. Data were collected from shipping managers in Singapore using personal interviews to identify the chief concerns in choosing and evaluating ocean freight services. The data were then examined using neural networks and decision trees, among other approaches to identify the system of attributes that is connected with customer satisfaction. The results illustrate the power of thesemethods in understanding how industrial customers with global operations process attributes to derive satisfaction. Implications are discussed

Ketersediaan
#
IPC Corporate University Library ATC LO DUR c
ATC1802951
Tersedia - Management
Informasi Detail
Judul Seri
Journal of Global Marketing
No. Panggil
ATC LO DUR c
Penerbit
United States of America : Taylor and Francis.,
Deskripsi Fisik
16 p.
Bahasa
English
ISBN/ISSN
-
Klasifikasi
LO
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
online resource
Edisi
Vol. 20(1) 2006
Subjek
International Logistics
neutral networks
decision trees
competitive positioning
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait
JudulEdisiBahasa
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An intermodal transport network planning algorithm using dynamic programming—A case study: from Busan to Rotterdam in intermodal freight routing25 March 2010en
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