Social Determinants of Opinions about Banks

Marcin Idzik

doi:10.26354/bb.5.2.71.2018

Published : 2018-09-13

Vol. 71 No. 2 (2018)

Social Determinants of Opinions about Banks

Marcin Idzik

DOI: https://doi.org/10.26354/bb.5.2.71.2018

Abstract

The objective of the research was to identify and select homogeneous segments of consumers in terms of their competence on the market of the financial services, as well as to evaluate the influence of the consumers’ economic competence on the relations with banks. The sociodemographic features as well as the place that the consumer occupies within the social structures provide a poor explanation of the evaluation of the banks. Opinions about banks are poorly correlated with the socio-economic status of the consumer. There is a weak relationship between the economic status of the consumer and his/her economic competence. There is a strong correlation between the economic competence of a consumer and the overall evaluation of the banks. Four homogeneous groups of consumers were selected in terms of economic competence: Self-excluded (17%), Uninterested (48%), Second-raters (30%), and Leaders (6%). The segmentation was conducted using latent class analysis (LCA). The latent class analysis enabled one to identify the subtypes of the interconnected features which are unobserved in the traditional model. The source of the empirical data is comprised of the field research results conducted by the CAPI method on a nationwide representative sample of the residents of Poland, N=3000.

Keywords:

economic competence, bank assessment, typological classification, latent class model

Most read articles by the same author(s)

Ewa Miklaszewska, Mateusz Folwarski, Krzysztof Kil, Marcin Idzik, Cooperative Banks and the New Technological Challenges in the Light of a Results Survey , Safe Bank: Vol. 72 No. 3 (2018)
Marcin Idzik, Jacek Gieorgica, Reputation of the Banking Sector in 2020: Key Results and Conclusions , Safe Bank: Vol. 80 No. 3 (2020)
Marcin Idzik, Jacek Gieorgica, Reputation determinants of the banking sector in Poland , Safe Bank: Vol. 77 No. 4 (2019)
Marcin Idzik, The Structure of the Retail Banking Services Market and Client’s Profile as Determinants of the Cooperative Banks Strategy in Poland , Safe Bank: Vol. 72 No. 3 (2018)
Marcin, Jacek Gieorgica, Reputation of the banking sector in Poland – conclusions from the 2019 survey , Safe Bank: Vol. 76 No. 3 (2019)

Details

References

Statistics

Authors

Download files

PDF

Citation rules

Idzik, M. (2018). Social Determinants of Opinions about Banks . Safe Bank, 71(2), 96–112. https://doi.org/10.26354/bb.5.2.71.2018

Altmetric indicators

Cited by / Share

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

References

Akaike, H. (1987), Factor analysis and AIC. Psychometrika, 52.

Bartholomew, D.J., Knott, M. (2002), Latent Variable Models and Factor Analysis, Arnold.

Białecki, P. (2006), Pojęcie kompetencji a polityka wobec edukacji i rynku pracy. Nauka i Szkolnictwo Wyższe”, nr 2/28/2006.

Bollen, K. (1989), Structural equations with latent variables. New York: Wiley.

Boyatzis, R.E. (2008), Competencies in the 21 st century, Journal of Management Development, No. 1.

Collins, J.M. (2013), The Impacts of Mandatory Financial Education: Evidence from a Randomized Field Study. Journal of Economic Behavior and Organization 95, 146–158.

Cwalina, W. (2000), Telewizyjna reklama polityczna. Emocje i poznanie w kształtowaniu preferencji wyborczych, Lublin, 54.

D’Almeida, N. (2007), La société du jugement, Paris.

Domański H., Sawiński, Z., Słomczyński, K.M. (2007), Nowa klasyϔikacja i skale zawodów. Socjologiczne wskaźniki pozycji społecznej w Polsce, Warszawa 2007, 16–17.

Dubois, D.D., Rothwell, W.J. (2008), Zarządzanie zasobami ludzkimi oparte na kompetencjach, Wydawnictwo Helion, Gliwice 2008, 26.

Fernandes, D., John, G., Lynch, J.G, Richard, Jr., Netemeyer, G. (2014), Financial Literacy, Financial Education, and Downstream Financial Behaviors. Management Science 60(8), 1861–1883.

Formann, A.K. (2003), Latent class model diagnostics-A review and some proposals. Computational, Statistics & Data Analysis, 41.

Friensen, N. i Anderson, T. (2004), Interaction for lifelong learning, British Journal of Educational Technology, Vol. 35, No. 6, 2004, 679–687.

Howard, A. Brown, Employee Engagement Executive Summary. Edelman Trust Barometer 2016.

Idzik, M., Gierogica, J., (2016), Klasyfikacja typologiczna kredydobiorców hipotecznych z wykorzystaniem modeli klas ukrytych. Acta Universitatis Lodziensis. Folia Oeconomica, Vol. 4, nr 323, 203–220.

Improving Financial Literacy. Analysis of Issues and Policies (2005), OECD, Paris, 4.

Kaplan, D. (2003), Latent Class Models, Forthcoming. Handbook for Quantitative Methodology, Sage.

Keel, P., Fichter, M., Quadflieg, N., Bulik, C., Baxter, M., Thornton, L. (2004), Application of a latent class analysis to empirically define eating disorder phenotypes. Psychiatry, 61.

Key Competences for Lifelong Learning (2007), European Reference Framework, Education and Culture DG, European Communities, 3.

Kompetencje kluczowe (2002). Realizacja koncepcji na poziomie szkolnictwa obowiązkowego,Eurydyce, sieć informacji o edukacji w Europie, Dyrekcja Generalna ds. Edukacji i Kultury, Komisja Europejska, Bruksela, 13.

Langeheine, R. van de Pol, F. (2002), Latent Markov Chains, in: “Applied Latent Class Analysis”, red. J.A. Hagenaars, A.L. McCutcheon, Cambridge University Press, New York.

Lazar, J. (1995), L’opinion publique, Paris, 1–42.

Lubke, G.H., Muthén, B. (2005), Investigating population heterogeneity with factor mixture models. Psychological Methods, 10.

Machała, P., Idzik, M. 2017, Ja i moje plemię. Czy bank ma prawo podejść bliżej do ogniska? Bliżej Rzecz o relacjach z klientami. Materiały konferencyjne, XVII Konferencja Finansowa Kantar TNS, 18 maja 2017.

Magdison, J., Vermunt, J.K., Tran, B. (2007), Using a Mixture Latent Markov Model to Analyze Longitudinal U.S. Employment Data Involving Measurement Error, in: New Trends in Psychometrics, red. Shigemasu K., Okada A., Imaizum T., Hoshino T., Frontiers Science Series, no. 55,

Universal Academy Press Inc.

Marshall, G. (2005), Słownik socjologii i nauk społecznych, Warszawa 2005, 357.

Measuring Financial Literacy: Questionnaire and Guidance Notes for Conducting an Internationally Comparable Survey of Financial Literacy, (2011), OECD/INFE, Paris, 3.

Miller, M., Reichelstein, J., Salasand BilalZia, Ch., (2015), Can You Help Someone BecomeFinanciallyCapable? A Meta-Analysis of the Literature. The World Bank Research Observer 30(2), 220–246.

National Financial Literacy Strategy (2011), Australian Securities and Investments Commission.

Orczyk, J. (2006), Nadwyżka wykształcenia – kłopot czy korzyść?, in: Kryńska, E. (red.), Polityka społeczno-ekonomiczna w dobie przemian, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.

Poprawa reputacji sektora bankowego. Informacja prasowa 25 kwietnia 2017 r., ZBP Warszawa.

President’s Advisory Councilon Financial Capability (2010), Executive Order 13530, January 29, Washington, DC. 1.

Reputacja Polskiego Sektora Bankowego (2016), ZBP, Warszawa.

Szarfenberg, R. (2015), Edukacja Finansowa, ubóstwo, zdrowie finansowe gospodarstw domowych. Materiały konferencyjne: Edukacja finansowa – nowa metoda pracy z rodzinami wykluczonymi ekonomicznie. Warszawa, 18 września 2015.

Tofighi, D., Enders, C.K. (2007), Identifying the correct number of classes in a growth mixture model. In G.R. Hancock (Ed.), “Mixture models in latent variable research”. Greenwich.

Vermunt, J., Magidson, J. (2003), Encyclopedia of Social Science Research Methods, Thousand Oaks, Sage Publications.

Vermunt, J.K., Magidson, J. (2005), Technical Guide for Latent GOLD 4.0: Basic and Advanced, Statistical Innovations, Belmont

Wizerunek Polskiego Sektora Bankowego (2017), ZBP, Warszawa.

Yang, C. (2006), Evaluating latent class analyses in quality ative phenotype identification. Computational Statistics & Data Analysis, 50.

Zarządzanie bankiem komercyjnym (2000) red. A. Gospodarowicz, Warszawa, Zeszyty Naukowe Państwowej Wyższej Szkoły Zawodowej w Płocku. Nauki Ekonomiczne, 20.

Zarządzanie zasobami ludzkimi w oparciu o kompetencje Perspektywa uczenia się przez całe życie (2013), red. Ł. Sienkiewicz, Instytut Badań Edukacyjnych, Warszawa.

Zoom Finanse (2017), KANTAR TNS, Warszawa.