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A taxonomy of highly interdependent, supply chain relationships : the use of cluster analysis

Cluster analysis provides a statistical method whereby unknown groupings of similar attributes can be identified from a mass of data and is well-known within marketing and a wide range of other disciplines. This paper seeks to describe the use of cluster analysis in an unusual setting to classify a large sample of dyadic, highly interdependent, supply chain relationships based upon the quality of their interactions. This paper aims to show how careful attention to the detail of research design and the use of combined methods leads to results that both are useful to managers and make a contribution to knowledge.

Ketersediaan
#
IPC Corporate University Library ATC LO HUM a C.1
ATC1600873
Tersedia
Informasi Detail
Judul Seri
The International Journal of Logistics Management
No. Panggil
ATC LO HUM a
Penerbit
United Kingdom : Emerald Insight.,
Deskripsi Fisik
19 p.
Bahasa
English
ISBN/ISSN
0957-4093
Klasifikasi
LO
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
online resource
Edisi
Vol. 18 Iss 3 pp. 385 - 401
Subjek
Supply Chain Management
Cluster analysis
Relationship marketing
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait
Lampiran Berkas
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