The University of Southampton
University of Southampton Institutional Repository

Towards an alternative multi-exemplar composite measure of country image: A comparison with traditional measures of country image

Towards an alternative multi-exemplar composite measure of country image: A comparison with traditional measures of country image
Towards an alternative multi-exemplar composite measure of country image: A comparison with traditional measures of country image
1090-1091
Global Alliance of Marketing & Management Associations
Balabanis, George
6c619905-c23a-42e9-bb8d-4696e0c1735c
Lopez, Carmen
f11f88d5-36c4-4beb-a4c5-ceb16a6df19c
Stathopoulou, Anastasia
b28756ab-173f-470c-9392-7edd67e24ed1
Balabanis, George
6c619905-c23a-42e9-bb8d-4696e0c1735c
Lopez, Carmen
f11f88d5-36c4-4beb-a4c5-ceb16a6df19c
Stathopoulou, Anastasia
b28756ab-173f-470c-9392-7edd67e24ed1

Balabanis, George, Lopez, Carmen and Stathopoulou, Anastasia (2018) Towards an alternative multi-exemplar composite measure of country image: A comparison with traditional measures of country image. In Global Marketing Conference. Global Alliance of Marketing & Management Associations. pp. 1090-1091 . (doi:10.15444/GMC2018.09.03.01).

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: July 2018

Identifiers

Local EPrints ID: 434141
URI: http://eprints.soton.ac.uk/id/eprint/434141
PURE UUID: 5057e558-df0a-421b-a530-9640ee8c7ab1
ORCID for Carmen Lopez: ORCID iD orcid.org/0000-0002-5510-1920

Catalogue record

Date deposited: 13 Sep 2019 16:30
Last modified: 16 Mar 2024 04:42

Export record

Altmetrics

Contributors

Author: George Balabanis
Author: Carmen Lopez ORCID iD
Author: Anastasia Stathopoulou

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×