Abstract
To illustrate the use of cluster analysis as a tool for segmenting consumers, the Focus Balkans project applied this method to the topic of food motivations. The aim of cluster analysis is to group objects (e.g. people or products) on the basis of numerical measures. Food motivations were captured via the Food Choice Questionnaire. Respondents were clustered based on the eight factors identified in the previous chapter. The profiling of clusters allowed for the identification of groups that from a public health perspective raise concern. For the Western Balkans, five groups of consumers were discerned with the clusters characterised by significant differences in food consumption patterns as well as demographic and socioeconomic characteristics. Three clusters raise concern. For each cluster, the communication messages should be distinctive, and they are described briefly in this chapter.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Askegaard S, Madsen TK (1995) Homogeneity and heterogeneousness in European food cultures: an exploratory analysis. In: European marketing academy conference proceedings. Gergy-Pontiose, France, 16–19 May 1995, pp 25–47
Buckley M, Cowan C (2007) Consumer attitudes towards convenience foods. In: Frewer L, Van Trijp H (eds) Understanding consumers of food products. Woodhead Publishing Limited, Cambridge, pp 200–218
Crossley ML (2001) Rethinking psychological approaches towards health promotion. Psychol Health 16:161–177
Everitt B, Landau S, Leese M, Stahl D (2011) Cluster analysis, 5th edn. Wiley, Hoboken
Geeroms N, Verbeke W, Van Kenhove P (2008) Health advertising to promote fruit and vegetable intake: application of health-related motive segmentation. Food Qual Prefer 19:481–497
Heinemann RJB, Behrens JH, Lanfer-Marquez UM (2006) A study on the acceptability and consumer attitude towards parboiled rice. Int J Food Sci Technol 41:627–634
Honkanen P, Frewer L (2009) Russian consumers’ motives for food choice. Appetite 52:363–371
Kennedy J, Jackson V, Cowan C, Blair I, McDowell D, Bolton D (2005) Consumer food safety knowledge: segmentation of Irish home food preparers based on food safety knowledge and practice. Br Food J 107(7):441–452
Mai LW, Ness MR (1997) Consumers’ perceptions of mail-order speciality foods. J Mark Manag 13(7):705–724
Malhotra NK, Birks DF (2007) Marketing research: an applied approach, 3rd European edn. Pearson, Harlow
Mesías FJ, Escribano M, Rodríguez de Ledesma A, Pulido F (2003) Market segmentation of cheese consumers: an approach using consumer’s attitudes, purchase behaviour and sociodemographic variables. Int J Dairy Technol 56(3):149–155
Milligan GW, Cooper M (1985) An examination of procedures for determining the number of clusters in a data set. Psychometrika 50:159–179
Milošević J, Žeželj I, Gorton M, Barjolle D (2012) Understanding the motives for food choice in Western Balkan countries. Appetite 58(1):205–214
Murphy M, Cowan C, Henchion M, O’Reilly S (2000) Irish consumer preferences for honey: a conjoint approach. Br Food J 102(8):585–597
Punj G, Stewart DW (1983) Cluster analysis in marketing research: review and suggestions for application. J Mark Res 20(2):134–148
Romesburg HC (1984) Cluster analysis for researchers. Lifetime Learning Publications, Belmont
Saba A, Messina F (2003) Attitudes towards organic foods and risk/benefit perception associated with pesticides. Food Qual Prefer 14(8):637–645
Saunders JA (1980) Cluster analysis for market segmentation. Eur J Mark 14(7):422–435
Schnettler B, Vidal R, Silva R, Vallejos L, Sepulveda N (2009) Consumer willingness to pay for beef meat in a developing country: the effect of information regarding country of origin, price and animal handling prior to slaughter. Food Qual Prefer 20:156–165
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Gorton, M., Ness, M., White, J. (2013). Segmenting Consumers Using Cluster Analysis: An Application to Food Motivations in the Western Balkan Countries. In: Barjolle, D., Gorton, M., Milošević Đorđević, J., Stojanović, Ž. (eds) Food Consumer Science. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5946-6_4
Download citation
DOI: https://doi.org/10.1007/978-94-007-5946-6_4
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5945-9
Online ISBN: 978-94-007-5946-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)