Information infrastructure as a pillar of the knowledge-based economy ? an analysis of regional differentiation in Poland

Abstract

Research background: Information infrastructure is a very important pillar within a knowledge-based economy. The widespread use of information and communication technologies facilitates effective communication, dissemination and processing of information and knowledge. It also creates new opportunities for the effective use of knowledge and information in building competitive advantage. Information infrastructure is also a significant determinant in the development of territorial units, and therefore it affects the regional dimension of building the knowledge-based economy in Poland.
 Purpose of the article: The purpose of the study was to evaluate regional differentiation of the level of information infrastructure in Poland, and changes which occurred in this respect between 2010 and 2015. An attempt was made to provide an answer to the following question: Are regional differences in the level of information infrastructure in Poland increasing or decreasing, i.e. is a regional divergence or a regional convergence process taking place in this respect?
 Methods: Taxonomic methods were used, including linear ordering based on a synthetic variable and a method of grouping linearly-ordered objects.
 Findings & Value added: The regional differentiation of the level of information infra-structure in Poland has slightly decreased, which means, that a slow convergence process has taken place in this respect. This fact is confirmed by the value of the variation coefficient, which fell from a level of 17.6% in 2010 to a level of 14.4% in 2015. Convergence processes were observed in twelve provinces. In the case of seven of them, they had the nature of a catching-up effect, and in the case of the remaining five — a lagging-behind effect. Divergence processes were observed in four provinces. The Dolnośląskie and Mazowieckie Provinces distanced themselves from other areas of the country. In the Małopolskie and Opolskie Provinces a marginalisation effect was observed.

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“…The conducted econometric research for the years 1995-2016 confirms the positive process of Polish economy modernisation and its structural adjustment to the requirements of highly competitive knowledge-based economy (see Balcerzak, 2015;Gajdos, 2016;Wierzbicka, 2018). Within this contexts one should point to positive tendencies with respect to the growth of employment for professionals or technicians, and decrease for clerks (office workers) and farm and related workers.…”

An empirical analysis of factors affecting sharing economy growth

“…A range of multicriteria methods such as SAW (Simple Additive Weighting), AHP (Analytic Hierarchy Process), TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation), COP-RAS (Complex proportional assessment), ARAS (Additive Ratio Assessment) and others are widely used in scientific research (Balcerzak, 2017;Balcerzak & Pietrzak, 2017a, 2017bWang et al, 2009;Stankevičienė & Mencaitė, 2012;Zavadskas et al, 2010;Nugaras & Ginevičius, 2015;Tvaronavičienė et al, 2008;Tvaronavičienė & Grybaitė, 2012;Guerrero-Baena et al, 2015;Latinopoulos & Kechagia, 2015;Podvezko, 2009;Wierzbicka, 2018;Pietrzak & Ziemkiewicz, 2018a, 2018b.…”

Quality of Institutions in the European Union countries. Application of TOPSIS Based on Entropy Measure for Objective Weighting

“…In the final step, the selected diagnostic variables should be normalised, and the negative variables should be transferred into benefit variables. As common practice in this process, the unitarisation method or standardization are applied [34,35,36]. As all the final diagnostic variables applied in the research were classified as benefit variables, a classic standardization procedure given with Formula 2 was used here.…”