Prague Economic Papers 2015, 24(3):332-353 | DOI: 10.18267/j.pep.522

Consumer's Behaviour in East Slovakia after Euro Introduction during the Crisis

Eva Litavcová1, Robert Bucki2, Róbert Štefko1, Petr Suchánek3, Sylvia Jenčová1
1 Prešov University in Prešov, Faculty of Management, Prešov, Slovakia (eva.litavcova@gmail.com, stefkor@unipo.sk, sylvia.jencova@unipo.sk).
2 Institute of Management and Information Technology, Bielsko-Biała, Poland (rbucki@wsi.net.pl).
3 Silesian University in Opava, School of Business Administration in Karviná, Karviná, Czech Republic (suchanek@opf.slu.cz).

The paper highlights the results of the survey of potential retail customers. The survey emphasizes the relationship between their responses to the chosen marketing pricing strategies and the perception of the introduction of the euro and the crisis. The multi-dimensional techniques were used to implement input data concerning perceptions of the euro introduction and the crisis in order to create a segmentation of respondents dividing them into: optimists, pessimists, crisispessimists, euro-pessimists, profiteers. It was subsequently proven that the responses of the members of these segments to the chosen pricing strategies EDLP (Every Day Low Pricing), Hi-Lo (High Low Pricing) and PMG (Price Matching Guarantees) differ significantly. Furthermore, the relation between the found segmentation and the subjective perception and assignment to the social group from the point of financial security is shown. Moreover, further segmentation of respondents according to their subjective anxiety about their future was carried out. Finally, the emphasis is put on the relation between the perception of the euro introduction in the country during the current influence of the world economic crisis on potential retail customers in the East Slovak Region and their subjective anxiety about their future.

Keywords: cluster analysis, factor analysis, two-step cluster, marketing pricing strategies, crisis, euro introduction, EDLP, Hi-Lo, PMG
JEL classification: C12, C18, C40, G01, M21, M31

Published: January 1, 2015  Show citation

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Litavcová, E., Bucki, R., Štefko, R., Suchánek, P., & Jenčová, S. (2015). Consumer's Behaviour in East Slovakia after Euro Introduction during the Crisis. Prague Economic Papers24(3), 332-353. doi: 10.18267/j.pep.522
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References

  1. Agresti, A. (2002), Categorical Data Analysis. Second Edition, University of Florida, Wiley Interscience, Hoboken, New Jersey: John Wiley & Sons, Inc. Go to original source...
  2. Aldenderfer, M. S., Blashfield, R. K. (1984), Cluster Analysis. Newbury Park: Sage Publications. Go to original source...
  3. Banfield, J. D., Raftery, A. E. (1993), "Model-Based Gaussian and Non-Gaussian Clustering." Biometrics, Vol. 49, No. 3, pp. 803-821. Go to original source...
  4. Birknerová, Z., Juhás, J., Litavcová, E. (2009), "Súvislosti medzi sociálnou inteligenciou, strachom a mobbingom v prostredí školy." Sociální procesy a osobnost 2009, Člověk na cestě životem: rizika, výzvy, příležitosti. Sborník příspěvků. Třešť, pp. 22-30.
  5. Borges, A. (2009), "The Price Matching Guarantee: The Effect of the Refund Size and the Moderator Role of the Retailer Pricing Strategy." Recherche et Applications en Marketing, Vol. 24, No. 1, pp. 29-39. Go to original source...
  6. Bucki, R. (2010), "Information Methods of Modelling the Synthetic Manufacturing Environment." Mathematical Modelling in Logistics, Faculty of Management, University of Prešov, Slovak Republic, pp. 64-82.
  7. Chiu, T., Fang, D., Chen, J., Wang, Y., Jeris, C. (2001), "A Robust and Scalable Clustering Algorithm for Mixed Type Attributes in Large Database Environment." Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA: ACM, pp. 263-268. Go to original source...
  8. Dvoroková, K., Kovářová, J., Šulganová, M. (2012), "Impact of the Financial Crisis on the Convergence of the Czech Economy with the Euro Area Economy." Proceedings of 13th International Conference on Finance and Banking, Location: Ostrava, Czech Republic, October 12-13, pp. 69-79.
  9. Everitt, B. S. (1975), "Multivariate Analysis: The Need for Data and Other Problems." British Journal of Psychiatry, Vol. 126, No. 3, pp. 227-240. Go to original source...
  10. Frankovský, M., Ištvaníková, L., Štefko, R. (2009), "Strategies of Behavior in Demanding Managerial Work Situations in Social Context." Studia Psychological, Vol. 51, No. 2-3, pp. 231-236.
  11. Garson, D. G. (2008), "Factor Analysis: Statnotes." North Carolina State University, Public Admi-nistration Program. Available from: http://tx.liberal.ntu.edu.tw/~PurpleWoo/Literature/!DataAnalysis/Factor%20Analysis-types.htm
  12. Jenčová, S. (2009), "Moderné metódy hodnotenia výkonnosti podniku." Aktuálne problémy finančného manažmentu v konkurenčnom a krízovom podnikateľskom prostredí agropotravinárskych podnikov. Zborník recenzovaných prác z medzinárodnej vedec. konferencie. Nitra: Slovenská poľnohospodárska univerzita v Nitre, pp. 42-47.
  13. Jurajda, Š., Stančík, J. (2013), "Organization and Firm Performance in the Czech Republic." Prague Economic Papers, Vol. 22, No. 1, pp. 85-110. Go to original source...
  14. Karras, G. (2011), "From Hero to Zero? The Role of the Euro in the Current Crisis: Theory and Some Empirical Evidence." International Advances in Economic Research, Vol. 17, No. 3, pp. 300-314. Go to original source...
  15. Kukar-Kinney, M., Xia, L., Monroe, K. B. (2007), "Consumers' Perceptions of the Fairness of Price-Matching Refund Policies." Journal of Retailing, Vol. 83, No. 3, pp. 325-337. Go to original source...
  16. Litavcová, E., Butoracová-Šindleryová, I. (2009), "Aplikácia log-lineárnej analýzy v marketingovom výskume." Ekonómia a proces poznávania, vedecká konferencia doktorandov a mladých vedeckých pracovníkov, Prešov: FM PU v Prešove, pp. 95-103.
  17. Lord, F. M., Novick, M. R. (2008), Statistical Theories of Mental Test Scores, Reading. MA: Addison Wesley Publ. Comp, Reprint - Information Age Publishing.
  18. Maťovčíková, D. (2010), "How Adults Cope with the Conversion to the Euro in the Slovak Republic." Proceedings of the 16th International Conference of Adults Learning Mathematics - A Research Forum (ALM) incorporating the LLU+ 7th National Numeracy Conference [CD-ROM], London South Bank University, pp.169-177.
  19. Řehák, J. (1998), "Kvalita dat I. Klasický model měření reliability a jeho praktický aplikační význam." Sociologický časopis, Vol. 34, No. 1, pp. 51-60. Go to original source...
  20. Ridgway, N. M., Kukar-Kinney, M., Monroe, K. B. (2008), "An Expanded Conceptualization and a New Measure of Compulsive Buying." Journal of Consumer Research, Vol. 35, No. 4, pp. 622-639. Go to original source...
  21. Spiesová, D. (2010), "Evaluation of the Impact of Economic Crisis on Selected Regions." International Scientific Conference on Hradec Economical Days 2010 - Economic Development and Management of the Region, Location: Hradec Králové, Czech Republic, February 02-03, pp. 109-112.
  22. SPSS Inc. (2001), "The SPSS Two Step Cluster Component, a Scalable Component Enabling More Efficient Customer Segmentation." White Paper - Technical Report, Chicago.
  23. UMSBA - University of Miami School of Business Administration (2010), "Retailers Can Significantly Increase Profits by Changing Their Pricing Strategy." Reveals University of Miami Study. Available from: https://www.bus.miami.edu/news-and-media/newsreleases/pricing-strategy.html
  24. Zhang, T., Ramakrishnan, R., Livny, M. (1996), "BIRCH: An Efficient Data Clustering Method for Very Large Databases." Proceedings of the ACM SIGMOD Conference on Management of Data, Montreal, Canada: ACM, 1996, pp. 103-114. Go to original source...

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