PL EN


2018 | 33 | 39-62
Article title

Application of the linear ordering methods in the voivodships research in the field of social media usage in enterprises in the period 2014-2017

Content
Title variants
Languages of publication
EN
Abstracts
EN
Aim/purpose – The aim of this paper is to analyze and compare the development of voivodships in terms of social media usag e in enterprises in the period from 2014 to 2017. The aim has been formulated because of the increasingly greater significance of social media in post-industrial enterprises. Design/methodology/approach – The two types of linear ordering methods were ap- plied, i.e., the method based on the pattern of development (Hellwig’s method) and the methods that were non-based on the pattern of development were used. Spearman’s rank correlation coefficient ρ and Kendall’s rank correlation coefficient τ were used to verify correlations between various rankings. Analysis of the dynamics, spatial visualizations, box plots and polar plots were used in relation to the aggregated measures. In conducted analyses, data from the period 2014-2017 (pr ovided by the Central Statistical Office of Poland) was used. The each year for the period from 2014 to 2017 was analyzed. Findings – In all rankings (with the use of all ty pes of applied measures and also in all analyzed years) the 1st place was taken by Masovian Voivodship. The distance between Masovian Voivodship and other voivodships was still significant during the analyzed period. The created rankings were similar in terms of statistical significance of computed correlation coefficients in all analyses. The research study results do not indicate a clear dispersion of the level of the analyzed phenomenon between eastern and western voivodships. It was also found that the highe r is ICT usage by enterprises in a voivod- ship, the more common is social media usage by them. There is a clear overall tendency of increase in the phenomenon dur ing the period from 2014 to 2017. Research implications/limitations – The main implications is that the identified differ- ences between areas can be a basis to assess the social media usage as a specific factor of business development. The research result s indicate voivodships that should employ social media more and the highest placed voivo dships as well. The results can be regard as support for the policy of digitization and building a knowledge-based economy. Originality/value/contribution – The originality of this pa per is based on: the created rankings of voivodships in terms of social media usage in enterprises in the period 2014- 2017, the comparison and assessment of voivodsh ips in this context, and the identifica- tion of change of the social media usage in individual voivodships and in Poland as a whole.
Year
Volume
33
Pages
39-62
Physical description
Contributors
  • Department of Economics. Faculty of Economic Sciences and Information Technology. The State University of Applied Sciences in Plock, Poland
References
  • Aldefender, M. S., & Blashfield, R. K. (1984). Cluster analysis. Beverly Hills: Sage Press.
  • Barger, V., Peltier, J. W., & Schultz, E. (2016). Social media and consumer engagement: A review and research agenda. Journal of Research in Interactive Marketing, 10(4), 268-287. doi: 10.1108/JRIM-06-2016-0065
  • Belch, G. E., & Belch, M. A. (2007). Advertising and promotion: An integrated marketing communications perspective. Boston: McGraw-Hill Irwin.
  • Castronovo, C., & Huang, L. (2012). Social media in an alternative marketing communication model. Journal of Marketing Development and Competitiveness, 6(1), 117-134.
  • Chaffey, D. (2015). Digital business and e-commerce management. Strategy, implementation and practice. Harlow: Pearson.
  • Fabianiak-Czerniak, K. (2012). Internetowe media społecznościowe jako narzędzie public relations [Online social media as a tool for public relations]. In K. Kubiak (Ed.), Zarządzanie w sytuacjach kryzysowych [Crisis management] (pp. 173-194). Warszawa: Wyższa Szkoła Promocji.
  • Green, P. E., Tull, D. S., & Albaum, G. (1988). Research for marketing decision. Englewood Cliffs: Prentice-Hall.
  • Główny Urząd Statystyczny [GUS]. (2014). Społeczeństwo informacyjne w Polsce. Wyniki badań statystycznych z lat 2010-2014 [Information society in Poland. Results of statistical surveys in the years 2010-2014]. Warszawa. Retrieved from www.gus.gov.pl
  • Główny Urząd Statystyczny [GUS]. (2015). Społeczeństwo informacyjne w Polsce. Wyniki badań statystycznych z lat 2011-2015 [Information society in Poland. Results of statistical surveys in the years 2011-2015]. Warszawa. Retrieved from www.gus.gov.pl
  • Główny Urząd Statystyczny [GUS]. (2016). Społeczeństwo informacyjne w Polsce. Wyniki badań statystycznych z lat 2012-2016 [Information society in Poland. Results of statistical surveys in the years 2012-2016]. Warszawa. Retrieved from www.gus.gov.pl
  • Główny Urząd Statystyczny [GUS]. (2017). Społeczeństwo informacyjne w Polsce. Wyniki badań statystycznych z lat 2013-2017 [Information society in Poland. Results of statistical surveys in the years 2013-2017]. Warszawa. Retrieved from www.gus.gov.pl
  • Izba Gospodarki Elektronicznej [IGE]. (2016). Lubię to czy kupuję to? Jak media społecznościowe wspierają sprzedaż? Raport Izby Gospodarki Elektroniczne [Do I like it or do I buy it? How do social media support sales? Report of the Chamber of Electronic Economy]. Retrieved from http://www.ecommercepolska.pl/files/3414 /7137/0127/LubieToCzyKupujeTo _SocialCommerce_Sierpien2016.pdf
  • ISO. (2011). ISO 3166-2 Newsletter, No II-3. Retrieved from https://www.iso.org/files/ live/sites/isoorg/files/archive/pdf/en/iso_31662_newsletter_ii-3_2011-12-13.pdf
  • Kaczmarczyk, P. (2017). Taxonomic analysis of voivodships development in terms of ICT usage in enterprises. Folia Oeconomica Stetinensia, 17(2), 83-96. doi: 10.1515/foli-2017-0020.
  • Korres, G. M. (2008). Technical change and economic growth. Inside the knowledge based economy. Bodmin: MPG Books.
  • Łopacińska, K. (2014). Social media w zintegrowanej komunikacji marketingowej [Social media in the integrated marketing communications]. Marketing i Rynek, 12, 2-6.
  • Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357-365. doi: 10.1016/j.bushor. 2009.03.002
  • Meerman, S. (2010). The new rules of marketing and PR: How to use news releases, blogs, podcasting, viral marketing and online media to reach buyers directly. New Jersey: John Wiley & Sons.
  • Olszewska, A., & Gudanowska, A. (2014). Wykorzystanie wybranych metod porządkowania obiektów do klasyfikacji województw pod kątem ich potencjału innowacyjnego [The use of selected ordering methods of voivodships in terms of their innovation potential]. Metody Ilościowe w Badaniach Ekonomicznych, 15(4), 91-100.
  • Panek, T., & Zwierzchowski, J. (2013). Statystyczne metody wielowymiarowej analizy porównawczej. Teoria i zastosowania [Statistical methods of multidimensional comparative analysis. Theory and Applications]. Warszawa: Szkoła Główna Handlowa.
  • Paszta, E. (2010). Internet w działalności informacyjnej i komunikacyjnej przedsiębiorstw [Internet in information and communication activities of enterprises]. In R. Borowiecki & J. Czekaj (Eds.), Zarządzanie zasobami informacyjnymi w warunkach nowej gospodarki [Management of information resources in a new economy environment] (pp. 362-369). Warszawa: Difin.
  • Picot, A., & Wernick, C. (2007). The role of government in broadband access. Telecommunications policy. The International Journal on Knowledge Infrastructure Development, Management and Regulation, 31, 660-674. doi: 10.1016/j.telpol. 2007.08.002
  • Reed, J. (2012). Get up to speed with online marketing. How to use websites, blogs, social networking and much more. New Jersey: Person Education.
  • Safko, L., & Brake, D. K. (2009). The social media bible. Tactics, tools & strategies for business success. New Jersey: John Wiley & Sons.
  • Sneath, P. H. A., & Sokal, R. R. (1973). Numerical taxonomy. The principles and practice of numerical classification. San Francisco: W.H. Freeman and Company.
  • Social media w biznesie [Social media in business]. (2014). Retrieved from http:// mistrzbranzy.pl/public/artykuly-sponsorowane/182/2420/182_2420_264.pdf
  • Strauss, J., & Frost, R. (2009). E-marketing. New Jersey: Prentice Hall.
  • Strożek, P., & Jewczak, M. (2016a). Information and communication technologies in Poland - regional perspective. In M. Papież & S. Śmiech (Eds.), The 10th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena. Conference proceedings (pp. 208-217). Cracow: Foundation of the Cracow University of Economics.
  • Strożek, P., & Jewczak, M. (2016b). Rozwój sektora ICT w Polsce - ocena międzyregionalna [The ICT sector development in Poland - regional assessment]. Zeszyty Naukowe. Uniwersytet Ekonomiczny w Krakowie, 9(957), 101-117. doi: 10.15678/ ZNUEK.2016.0957.0907.
  • Wawrzynek, J., Bukietyńska, A., Rusnak, Z., Siedlecka, U., & Heilpern, S. (1998). Opisowa analiza danych [Descriptive data analysis]. In W. Ostasiewicz (Ed.), Statystyczne metody analizy danych (pp. 30-129). Wrocław: Wydawnictwo Akademii Ekonomicznej.
  • Weber, L. (2009). Marketing to the social web. How digital customer communities build your business. New Jersey: John Wiley & Sons.
  • Wierzbicka, W. (2017). Regional differentiation of information infrastructure in Poland in the context of building a knowledge-based economy. Institute of Economic Research Working Papers, 141. Retrieved from http://www.badania-gospodarcze.pl/ images/Working_Papers/2017_No_141.pdf
  • Zawadzki, J. (2003). Wstęp do integracji danych przestrzennych metodami kokrikingu [Introduction to spatial data integration by means of cokriking methods]. Wiadomości Statystyczne, 5, 7-20.
  • Zawadzki, J. (2011). Metody geostatystyczne dla kierunków przyrodniczych i technicznych [Geostatistical methods for natural sciences and technology studies]. Warszawa: Oficyna Wydawnicza Politechniki Warszawskiej.
Document Type
Publication order reference
Identifiers
ISSN
1732-1948
YADDA identifier
bwmeta1.element.cejsh-9bd509ca-aab8-4548-b79e-2a6ce9a9293a
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.