City Research Online

Country image appraisal: More than just ticking boxes

Lopez-Jaramillo, C. & Balabanis, G. (2019). Country image appraisal: More than just ticking boxes. Journal of Business Research, 117, pp. 764-779. doi: 10.1016/j.jbusres.2019.09.004

Abstract

Current academic research almost unquestionably adopts an attitudinal measurement approach to assess the image of a country using standardized rating scales. This study revisits the image construct and proposes an alternative approach for assessing country image based on psycholinguistics and associative networks. With this approach, new country image attributes emerge that enhance the information provided by traditional attitudinal measures. In particular, the concreteness, imageability, semantic richness and emotionality of a country's image serve as a supplementary dimension to the attitudinal and associative network approaches. The study empirically compares the two perspectives using a random sample of consumers. The results show a lack of correspondence between the two and highlight the benefits and limitations of each approach.

Publication Type: Article
Additional Information: © Elsevier 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Keywords: Country image, Associative network, Psycholinguistics, Attitudinal rating scale, Social network analysis
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HM Sociology
Departments: Bayes Business School > Management
SWORD Depositor:
[thumbnail of Country image appraisal_Final_re.pdf]
Preview
Text - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (413kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login