Publication detail

Market Attractiveness Classification of European Union Countries for Establishing Logistics Centres

SCHÜLLER, D. PEKÁREK, J.

Original Title

Market Attractiveness Classification of European Union Countries for Establishing Logistics Centres

English Title

Market Attractiveness Classification of European Union Countries for Establishing Logistics Centres

Type

journal article - other

Language

en

Original Abstract

At present, enterprises are forced to serve their customers as quickly as possible if they want to succeed on turbulent global markets. Enterprises are looking for regions with high-quality infrastructure where they can establish new logistics centres that enable enterprises to serve their customers quickly. This paper focuses on the segmentation of the European Union market for enterprises that are willing to set up logistics centres in order to be able to distribute products fluently and more quickly to their customers in Europe. An agglomerative hierarchical clustering algorithm was used and Ward’s criterion applied for the purposes of market segmentation. A Logistic Performance Index and the indicator Dealing with Construction Permits were used as two relevant dimensions reflecting the market attractiveness of identified clusters. Based on the given statistical output, fundamental marketing concepts were formulated for each cluster composed of EU countries with similar characteristics.

English abstract

At present, enterprises are forced to serve their customers as quickly as possible if they want to succeed on turbulent global markets. Enterprises are looking for regions with high-quality infrastructure where they can establish new logistics centres that enable enterprises to serve their customers quickly. This paper focuses on the segmentation of the European Union market for enterprises that are willing to set up logistics centres in order to be able to distribute products fluently and more quickly to their customers in Europe. An agglomerative hierarchical clustering algorithm was used and Ward’s criterion applied for the purposes of market segmentation. A Logistic Performance Index and the indicator Dealing with Construction Permits were used as two relevant dimensions reflecting the market attractiveness of identified clusters. Based on the given statistical output, fundamental marketing concepts were formulated for each cluster composed of EU countries with similar characteristics.

Keywords

market attractiveness, EU countries, logistic performance index, construction permit procedure, logistics centres

Released

01.11.2016

Publisher

Vysoká škola ekonomická v Praze

Location

Praha

Pages from

3

Pages to

13

Pages count

11

URL

BibTex


@article{BUT129505,
  author="David {Schüller} and Jan {Pekárek}",
  title="Market Attractiveness Classification of European Union Countries for Establishing Logistics Centres",
  annote="At present, enterprises are forced to serve their customers as quickly as possible if they want
to succeed on turbulent global markets. Enterprises are looking for regions with high-quality
infrastructure where they can establish new logistics centres that enable enterprises to serve their
customers quickly. This paper focuses on the segmentation of the European Union market for
enterprises that are willing to set up logistics centres in order to be able to distribute products
fluently and more quickly to their customers in Europe. An agglomerative hierarchical clustering
algorithm was used and Ward’s criterion applied for the purposes of market segmentation.
A Logistic Performance Index and the indicator Dealing with Construction Permits were used as two
relevant dimensions reflecting the market attractiveness of identified clusters. Based on the given
statistical output, fundamental marketing concepts were formulated for each cluster composed of
EU countries with similar characteristics.",
  address="Vysoká škola ekonomická v Praze",
  chapter="129505",
  doi="10.18267/j.aop.554",
  howpublished="online",
  institution="Vysoká škola ekonomická v Praze",
  number="05/2016",
  volume="24",
  year="2016",
  month="november",
  pages="3--13",
  publisher="Vysoká škola ekonomická v Praze",
  type="journal article - other"
}