Abstract
Most marketing specialists recognise that consumer behaviour can be explained by knowing the system of factors and variables that influence it. The purpose of our research is to get to know and analyse the behaviour of EU consumers within the online environment. In order to do so, we have selected a group of indicators and variables of consumer behaviour from the Eurostat database. The specific values for each EU Member State were processed using cluster analysis, by means of which we aimed to identify clusters with as many similar elements of the same class as possible (minimal variability within classes) and as many elements which differ from each other as possible if these elements belong to different classes (maximum variability between classes). Our research led to the identification of five clusters in which the EU states are grouped according to the characteristics of consumer behaviour in the online environment. An overview of consumer behaviour on the digital European market is provided and different types of generally similar consumers are identified. The results of our research could be interesting to specialists and experts in the marketing departments of companies doing business on the digital market of the European Union. We further suggest some future research opportunities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Androniceanu, A. (2019). Collaborative digital economy, main attributes, and challenges. In M. Peters (Ed.), Encyclopedia of educational philosophy and theory. Singapore: Springer.
Androniceanu, A., Georgescu, I., & Kinnunen, J. (2019). Digitalization clusters within the European Union. In K. S. Soliman (Ed.), Education Excellence and Innovation Management through Vision 2020 (pp. 1719–1729). Granada, Spain.
Booms, B. H., & Bitner, M. J. (1981). Marketing strategies and organization structures for service firms. In J. H. Donnelly & W. R. George (Eds.), Marketing of Services (pp. 47–51). Chicago, IL: American Marketing Association.
Braciníková, V., & Matušínská, K. (2017). Marketing mix of financial services from the customers’ perspective. Forum Scientiae Oeconomia, 5(4), 35–48. https://doi.org/10.23762/FSO_VOL5NO4_17_3.
Cătoiu, I., & Teodorescu, N. (1997). Comportamentul consumatorului. Teorie şi practică. Bucureşti: Editura Economică.
Çera, G., Meço, M., Çera, E., & Maloku, S. (2019). The effect of institutional constraints and business network on trust in government: An institutional perspective. Administratie si Management Public, 33, 6–19. https://doi.org/10.24818/amp/2019.33-01.
Datculescu, P. (2006). Cercetarea de marketing – Cum pătrunzi în mintea consumatorului, cum măsori şi cum analizezi informaţia. Bucureşti: Editura Brandbuilders.
Eurostat. (2018). Internet access and use statistics – Households and individuals. Retrieved December 7, 2019, from https://ec.europa.eu/eurostat/statistics-explained/index.php?oldid=379591
Fielden, A., Grupac, M., & Adamko, P. (2018). How users validate the information they encounter on digital content platforms: The production and proliferation of fake social media news, the likelihood of consumer exposure, and online deceptions. Geopolitics, History, and International Relations, 10(2), 51–57. https://doi.org/10.22381/GHIR10220186.
Gavurova, B., Tucek, D., & Kovac, V. (2019). Economic aspects of public procurement parameters in tertiary education sector. Administratie si Management Public, 32, 42–62. https://doi.org/10.24818/amp/2019.32-04.
Georgescu, I. (2015). Inteligenta computationala. Bucuresti: Editura ASE.
Gerasimov, B. N., Vasyaycheva, V. A., & Gerasimov, K. B. (2018). Identification of the factors of competitiveness of industrial company based on the module approach. Entrepreneurship and Sustainability Issues, 6(2), 677–691. https://doi.org/10.9770/jesi.2018.6.2(15).
Hartigan, J. A., & Wong, M. A. (1979). Algorithm AS 136: A K-means clustering algorithm. Applied Statistics. Royal Statistical Society, 29, 100–108.
Iliadis, M. S., & Paravantis, J. A. (2011). A multivariate cross-country empirical analysis of the digital divide. In 2011 Symposium on Computers and Communications ISCC (pp. 785–788).
Jolliffe, I. T. (1986). Principal component analysis. New York: Springer.
Kanuk, L. (2007). Consumer behavior. Upper Saddle River, NJ: Prentice Hall/Pearson Education.
Khúlová, L. (2016). Marketing mix of internationally active company in terms of transport and logistics (export to the USA and China). Acta Oeconomica Universitatis Selye, 5(1), 85–95.
Korauš, A., Dobrovič, J., Ključnikov, A., & Gombár, M. (2016). Consumer approach to bank payment card security and fraud. Journal of Security and Sustainability Issues, 6(1), 85–102. https://doi.org/10.9770/jssi.2016.6.1(6).
Kotler, P. (2012). Marketing management. Upper Saddle River, NJ: Pearson Education.
Kotler, P., Armstrong, G., Saunders, J., & Wong, V. (1999). Principiile marketingului. Bucureşti: Editura Teora Larousse.
Lazaroiu, G. (2018). Participation environments, collective identities, and online political behavior: The role of media technologies for social protest campaigns. Geopolitics, History, and International Relations, 10(2), 58–63. https://doi.org/10.22381/GHIR10220187.
Lazaroiu, G., Kovacova, M., Kliestikova, J., Kubala, P., Valaskova, K., & Dengov, V. V. (2018). Data governance and automated individual decision-making in the Digital Privacy General Data Protection Regulation. Administratie si Management Public, 31, 132–142. https://doi.org/10.24818/amp/2018.31-09.
MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1: Statistics (pp. 281–97). Berkeley, CA: University of California Press. Retrieved November 19, 2019, from: https://projecteuclid.org:443/euclid.bsmsp/1200512992
Musová, Z. (2015). Consumer attitudes to cause related marketing in Slovakia. Acta Oeconomica Universitatis Selye, 4(1), 93–105.
Novotný, J. (2015). Customer segmentation and customer relationship management. Acta Oeconomica Universitatis Selye, 4(1), 114–119.
Pride, M. W., & Ferel, O. C. (1991). Marketing – Concepts and strategies (VII-a ed.). Boston: Houghton Miffin.
Raišienė, A. G., Bilan, S., Smalskys, V., & Gečienė, J. (2019). Emerging changes in attitudes to inter-institutional collaboration: The case of organizations providing social services in communities. Administratie si Management Public, 33, 34–56. https://doi.org/10.24818/amp/2019.33-03.
Roberts, T., & Marchais, G. (2018). Assessing the role of social media and digital technology in violence reporting. Contemporary Readings in Law and Social Justice, 10(2), 9–42. https://doi.org/10.22381/CRLSJ10220181.
Shuster, C., & Dufek, D. (2010). The consumer… or else! Consumer-centric business paradigms. New York: International Business Press.
Shuyan, L., & Fabuš, M. (2019). Study on the spatial distribution of China’s outward foreign direct investment in EU and its influencing factors. Entrepreneurship and Sustainability Issues, 6(3), 1080–1096. https://doi.org/10.9770/jesi.2019.6.3(16).
Solomon, M., Bamossy, G., Askegaard, S., & Hogg, M. (2006). Consumer behaviour – A European perspective. Prentice Hall: Pearson Education.
Tamulienė, V., & Pilipavičius, V. (2017). Research in customer preferences selecting insurance services: A case study of Lithuania. Forum Scientiae Oeconomia, 5(4), 49–58. https://doi.org/10.23762/10.23762/fso_vol5no4_17_4.
Tharwat, A. (2016). Principal component analysis – A tutorial. International Journal of Applied Pattern Recognition, 3(3), 197–240. https://doi.org/10.1504/IJAPR.2016.079733.
Wright, R. (1999). Marketing: Origins, concepts, environment. London: Thomson Learning.
Žižka, M., & Pelloneová, N. (2019). Do clusters with public support perform better? Case study of Czech cluster organizations. Administratie si Management Public, 33, 20–33. https://doi.org/10.24818/amp/2019.33-02.
Žuľová, J., Švec, M., & Madleňák, A. (2018). Personality aspects of the employee and their exploration from the GDPR perspective. Central European Journal of Labour Law and Personnel Management, 1(1), 68–77. https://doi.org/10.33382/cejllpm.2018.01.05.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix: Data in Clusters
Appendix: Data in Clusters
Cluster | V1 | V2 | V4 | V3 | V6 | V11 | V5 | V10 | V8 | V7 | V9 |
---|---|---|---|---|---|---|---|---|---|---|---|
CL1 | 40.2 | 35.8 | 23.4 | 34.8 | 27.6 | 71.0 | 24.2 | 7.2 | 18.0 | 13.8 | 13.8 |
CL2 | 17.0 | 13.0 | 8.0 | 14.0 | 10.0 | 54.0 | 10.0 | 5.0 | 37.0 | 34.0 | 35.0 |
CL3 | 14.8 | 13.9 | 7.8 | 13.1 | 8.6 | 23.4 | 8.3 | 3.6 | 4.6 | 4.1 | 5.1 |
CL4 | 30.5 | 19.5 | 20.0 | 21.3 | 24.8 | 59.0 | 22.5 | 7.0 | 23.3 | 14.8 | 19.3 |
CL5 | 27.2 | 27.1 | 13.4 | 24.2 | 14.3 | 41.8 | 12.3 | 5.5 | 8.0 | 7.1 | 9.2 |
EU-28 | 26.1 | 23.3 | 14.3 | 22.1 | 16.4 | 44.6 | 14.6 | 5.5 | 12.0 | 9.5 | 11.2 |
Cluster 1 | V1 | V2 | V4 | V3 | V6 | V11 | V5 | V10 | V8 | V7 | V9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Denmark | 47 | 44 | 23 | 23 | 34 | 72 | 26 | 9 | 11 | 11 | 24 |
Germany | 27 | 45 | 28 | 36 | 25 | 67 | 20 | 7 | 9 | 17 | 12 |
Luxembourg | 38 | 26 | 22 | 39 | 22 | 73 | 21 | 6 | 32 | 18 | 10 |
Netherlands | 44 | 39 | 20 | 37 | 26 | 68 | 23 | 6 | 12 | 10 | 10 |
UK | 45 | 25 | 24 | 39 | 31 | 75 | 31 | 8 | 26 | 13 | 13 |
Cluster 2 | V1 | V2 | V4 | V3 | V6 | V11 | V5 | V10 | V8 | V7 | V9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ireland | 17 | 13 | 8 | 14 | 10 | 54 | 10 | 5 | 37 | 34 | 35 |
Cluster 3 | V1 | V2 | V4 | V3 | V6 | V11 | V5 | V10 | V8 | V7 | V9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bulgaria | 9 | 7 | 6 | 7 | 7 | 15 | 6 | 2 | 4 | 2 | 3 |
Greece | 21 | 22 | 6 | 19 | 6 | 28 | 6 | 3 | 3 | 4 | 5 |
Croatia | 21 | 25 | 6 | 23 | 7 | 28 | 6 | 5 | 3 | 6 | 4 |
Italy | 13 | 11 | 9 | 12 | 9 | 27 | 9 | 1 | 7 | 5 | 7 |
Cyprus | 15 | 16 | 11 | 15 | 11 | 27 | 11 | 3 | 3 | 3 | 3 |
Lithuania | 18 | 13 | 10 | 14 | 14 | 30 | 12 | 4 | 8 | 5 | 6 |
Portugal | 13 | 11 | 11 | 10 | 11 | 25 | 12 | 6 | 8 | 7 | 10 |
Romania | 8 | 6 | 3 | 5 | 4 | 7 | 4 | 5 | 1 | 1 | 3 |
Cluster 4 | V1 | V2 | V4 | V3 | V6 | V11 | V5 | V10 | V8 | V7 | V9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Belgium | 23 | 20 | 18 | 20 | 21 | 52 | 20 | 5 | 15 | 14 | 13 |
France | 34 | 13 | 19 | 25 | 27 | 61 | 21 | 5 | 31 | 12 | 14 |
Finland | 32 | 18 | 21 | 23 | 25 | 59 | 22 | 8 | 27 | 14 | 20 |
Sweden | 33 | 27 | 22 | 17 | 26 | 64 | 27 | 10 | 20 | 19 | 30 |
Cluster 5 | V1 | V2 | V4 | V3 | V6 | V11 | V5 | V10 | V8 | V7 | V9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Czech Rep. | 21 | 23 | 19 | 17 | 20 | 42 | 17 | 4 | 6 | 7 | 10 |
Estonia | 29 | 33 | 15 | 27 | 17 | 48 | 14 | 8 | 10 | 13 | 12 |
Spain | 24 | 31 | 11 | 30 | 8 | 41 | 7 | 3 | 5 | 9 | 6 |
Latvia | 26 | 23 | 13 | 18 | 15 | 42 | 14 | 2 | 7 | 6 | 11 |
Hungary | 24 | 25 | 11 | 18 | 13 | 33 | 10 | 6 | 4 | 4 | 8 |
Malta | 30 | 21 | 14 | 31 | 11 | 42 | 12 | 7 | 17 | 6 | 8 |
Austria | 34 | 23 | 13 | 30 | 14 | 54 | 15 | 3 | 20 | 10 | 14 |
Poland | 24 | 26 | 13 | 22 | 15 | 39 | 12 | 3 | 3 | 5 | 5 |
Slovenia | 27 | 27 | 9 | 22 | 12 | 32 | 9 | 8 | 4 | 4 | 7 |
Slovakia | 33 | 39 | 16 | 27 | 18 | 45 | 13 | 11 | 4 | 7 | 11 |
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Androniceanu, A., Kinnunen, J., Georgescu, I., Androniceanu, AM. (2020). Multidimensional Analysis of Consumer Behaviour on the European Digital Market. In: Sroka, W. (eds) Perspectives on Consumer Behaviour. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-030-47380-8_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-47380-8_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-47379-2
Online ISBN: 978-3-030-47380-8
eBook Packages: Business and ManagementBusiness and Management (R0)