Development of the Usage of E‑services in Households, by Voivodship: a Cluster Analysis

Authors

  • Paweł Kaczmarczyk The State University of Applied Sciences in Plock, Poland, Faculty of Economic Sciences and Information Technology, Department of Economics http://orcid.org/0000-0001-5199-6328

DOI:

https://doi.org/10.18778/0208-6018.342.04

Keywords:

e-services, households, voivodships, linear ordering, clustering method

Abstract

The aim of this work is to assess the development of voivodships in terms of the usage of e‑services (e‑government, e‑commerce, e‑health, etc.) in households, in comparison with the research on the overall ICT usage in households, in voivodships. The results of both of these studies enabled the verification of the thesis that the higher the level of overall ICT usage in households, in a given voivodship, the higher the level of e‑services usage in these households. In the theoretical part of the work, the rationale for the research was presented. Therefore, the importance of the usage of e‑services in households, for building an information society and consequently knowledge‑based economy, has been described. The research methodology also included: linear ordering methods (Hellwig’s method, methods that are non‑based on the pattern of development), agglomerative hierarchical clustering method (Ward’s method), and optimisation clustering method (the k‑means method) have been discussed. The empirical part of the work involves presentation of the research results. Data from the year 2017, provided by the Central Statistical Office of Poland, was used. Within the framework of the usage of e‑services in households (26 variables), the rankings of voivodships were created and the clusters of voivodships were detected. The obtained rankings and clusters of voivodships served to compare and assess voivodships in the analysed year. In the light of the results relating to the usage of the e‑services, the results of ordering and clustering of voivodships within the framework of overall ICT usage in households (27 variables) were obtained. Then, the verification of the assumed thesis was conducted.

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References

Brusco M. J., Steinley D. (2007), A comparison of heuristic procedures for minimum within‑cluster sums of squares partitioning, “Psychometrika”, vol. 72, no. 4, pp. 583–600.
Google Scholar

Cellary W. (2009), Trzy wyzwania elektronicznej gospodarki opartej na wiedzy: biznesowe, administracyjne, społeczne, [in:] J. Kotowicz‑Jawor (ed.), GOW – wyzwanie dla Polski, Polskie Towarzystwo Ekonomiczne, Warszawa, pp. 23–47.
Google Scholar

Dąbrowska A., Janoś‑Kresło M. (2010), Konsument na rynku e‑usług w krajach Europy Środkowo‑Wschodniej, Difin, Warszawa.
Google Scholar

Dąbrowska A., Janoś‑Kresło M., Wódkowski A. (2009), E‑usługi a społeczeństwo informacyjne, Difin, Warszawa.
Google Scholar

European Commission (2017), Digital Economy and Society Index (DESI) 2017, Brussels, http://europa.eu/rapid/press‑release_MEMO–17–352_en.pdf [accessed: 26.10.2018].
Google Scholar

Everitt B., Landau S., Leese M., Stahl D. (2011), Cluster analysis, John Wiley and Sons Ltd., Chichester.
Google Scholar

Flaga‑Gieruszyńska K., Gołaczyński J., Szostek D. (eds.) (2017), E‑obywatel, e‑sprawiedliwość, e‑usługi, C. H. Beck, Warszawa.
Google Scholar

Gemius (2011), E‑commerce w Polsce w oczach internautów 2010, http://pliki.gemius.pl/biuletyn_handlowy/2011_01_e_commerce_w_Polsce_internauci.pdf [accessed: 15.05.2018].
Google Scholar

Gemius, Izba Gospodarki Elektronicznej (2017), E‑commerce w Polsce 2017. Gemius dla e‑commerce Polska, https://branden.biz/wp‑content/uploads/2018/07/E‑commerce_w_Polsce_2017.pdf [accessed: 15.05.2018].
Google Scholar

Gersham A. V. (2002), How Web services will redefine the service economy, “Accenture Outlook”, pp. 41–47.
Google Scholar

Hansen P., Mladenovic N. (2001), J‑MEANS: A new local search heuristic for minimum sum of squares clustering, “Pattern Recognition”, vol. 34, no. 2, pp. 405–413.
Google Scholar

Hellwig Z. (1968), Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju i strukturę wykwalifikowanych kadr, „Przegląd Statystyczny”, vol. 15, no. 4, pp. 307–327.
Google Scholar

Hofacker C. F., Goldsmith R. E., Bridges E., Swilley E. (2007), E‑Services: a synthesis and research agenda, “Journal of Value Chain Management”, vol. 1, no. 1/2, pp. 13–44.
Google Scholar

Jeong Chun Hai I. (2007), Fundamental of development administration, Scholar Press, Selangor.
Google Scholar

Kaczmarczyk P. (2017), Taxonomic analysis of voivodships development in terms of ICT usage in enterprises, “Folia Oeconomica Stetinensia”, vol. 17, no. 2, pp. 83–96, https://doi.org/10.1515/foli–2017–0020.
Google Scholar

Kopczewska K., Kopczewski T., Wójcik P. (2016), Metody ilosciowe w R. Aplikacje ekonomiczne i finansowe, CeDeWu Sp. z o.o., Warszawa.
Google Scholar

Maulik U., Bandyopadhyay S. (2000), Genetic algorithm‑based clustering technique, “Pattern Recognition”, vol. 33, no. 9, pp. 1455–1465.
Google Scholar

McQueen J. (1967), Some methods for classification and analysis of multivariate observations, “Computer and Chemistry”, vol. 4, pp. 257–272.
Google Scholar

Ministerstwo Nauki i Informatyzacji (2005), Strategia kierunkowa rozwoju informatyzacji Polski do 2013 roku oraz perspektywiczna prognoza transformacji społeczeństwa informacyjnego do roku 2020, Warszawa, 24 czerwca.
Google Scholar

Ministerstwo Rozwoju Regionalnego (2010), Krajowa strategia rozwoju regionalnego 2010–2020: regiony, miasta, obszary wiejskie, Warszawa, http://prawo.sejm.gov.pl/isap.nsf/download.xsp/WMP20110360423/O/M20110423.pdf [accessed: 26.10.2018].
Google Scholar

Ministerstwo Rozwoju Regionalnego (2013), Strategia rozwoju społeczno‑gospodarczego Polski Wschodniej do roku 2020, Warszawa, http://prawo.sejm.gov.pl/isap.nsf/download.xsp/WMP20130000641/O/M20130641.pdf [accessed: 26.10.2018].
Google Scholar

Młodak A. (2006), Analiza taksonomiczna w statystyce regionalnej, Difin, Warszawa.
Google Scholar

Muhammad Rais A. K., Nazariah M. K. (2003), E‑government in Malaysia: improving responsiveness and capacity to serve, Pelanduk Publications, Kuala Lumpur.
Google Scholar

Nof S. Y., Ceroni J., Jeong W., Moghaddam M. (2015), Revolutionizing collaboration through e‑work, e‑business, and e‑service, Springer, Berlin, Heidelberg.
Google Scholar

Panek T., Zwierzchowski J. (2013), Statystyczne metody wielowymiarowej analizy porównawczej. Teoria i zastosowania, Szkoła Główna Handlowa, Warszawa.
Google Scholar

Rowley J. (2006), An analysis of the e‑service literature: towards a research agenda, “Internet Research”, vol. 16, no. 3, pp. 339–359, https://doi.org/10.1108/10662240610673736.
Google Scholar

Rust R. T., Kannan P. K. (2002), The era of e‑service, [in:] R. T. Rust, P. K. Kannan (eds.), E‑service: new directions in theory and practice, M. E. Sharpe, New York, pp. 3–21.
Google Scholar

Rust R. T., Lemon K. N. (2001), E‑service and the consumer, “International Journal of Electronic Commerce”, vol. 5, no. 3, pp. 85–101.
Google Scholar

Saprikis V. (2018), Terrestrial vs. online gamblers: an empirical study on their perceptions towards, [in:] M. Khosrow‑Pour (ed.), Optimizing current practices in e‑services and mobile applications, IGI Global, Hershey, pp. 203–213.
Google Scholar

Sneth J. N., Sharma A. (2007), E‑services: a framework for growth, “Journal of Value Chain Management”, vol. 1, no. 1/2, pp. 7–12.
Google Scholar

Song R., Korba L., Yee G. (2007), Trust in e‑services: technologies, practices and challenges, Idea Group Publishing, Hershey–London.
Google Scholar

United Nations Conference on Trade and Development (2007), Information Economy Report 2007–2008: Science and technology for development: the new paradigm of ICT, New York–Geneva.
Google Scholar

Ward J. H. (1963), Hierarchical grouping to optimize an objective function, “Journal of the American Statistical Association”, vol. 58, no. 301, pp. 236–244.
Google Scholar

Woodside A. G., Quaddus M. (2015), Acquiring deep knowledge of e‑services adoption processes in developing nations, [in:] M. Quaddus, A. G. Woodside (eds.), E‑services adoption: processes by firms in developing nations, Emerald, Bingley, pp. 1–4.
Google Scholar

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Published

2019-08-21

How to Cite

Kaczmarczyk, P. (2019). Development of the Usage of E‑services in Households, by Voivodship: a Cluster Analysis. Acta Universitatis Lodziensis. Folia Oeconomica, 3(342), 61–87. https://doi.org/10.18778/0208-6018.342.04

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