OPEN Repository

Welcome to OPEN - the Repository of Open Scientific Publications, run by the Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, previously operating as the CeON Repository. The Repository enables Polish researchers from all fields to openly share their articles, books, conference materials, reports, doctoral theses, and other scientific texts.

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22792 archived items

Recent Submissions

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Implementation of the No Poverty Sustainable Development Goal (SDG) in Visegrad Group (V4)
(MDPI, 2021) Sobczak, Elżbieta; Bartniczak, Bartosz; Raszkowski, Andrzej; Wroclaw University of Economics and Business; Uniwersytet Ekonomiczny we Wrocławiu
This presented study discusses problems related to the implementation of the Sustainable Development Goal 1: No Poverty, aimed at eliminating poverty, based on the example of the Visegrad Group (V4) countries. The introduction addresses the general characteristics of the V4 and attempts to define the concept of sustainable development, with particular emphasis on its complex nature and importance for future generations. The purpose of the research was to assess the diversity within the Visegrad Group countries in the years 2005–2018 in terms of poverty and sustainable development level in the No Poverty area and also to identify the impact of the socioeconomic development level in the studied countries on sustainable development in the No Poverty area. Taking into account the analysis of poverty indicators in the Visegrad Group countries, the best results were recorded for Czechia. The second part of the conducted analyzed allowed us to conclude that Czechia definitely presents the highest level of sustainable development, followed by Slovakia. The highest average dynamics of changes occur in Poland and Hungary, which result in the gradual elimination of the existing disproportions. Among other research results, it is worth highlighting that the V4 countries show significant, however, decreasing differences regarding the indicators describing poverty in relation to sustainable developmen
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A multivariate approach to the identification of initial smart specialisations of Polish voivodeships
(Equilibrium, 2020) Bal-Domańska, Beata; Sobczak, Elżbieta; Stańczyk, Elżbieta; Wroclaw University of Economics and Business; Uniwersytet Ekonomiczny we Wrocławiu; Statistical Office in Wrocław
Research background: The identification of smart specialisations should be based on information allowing the identification of resources and capital in the regions, which constitute the unique value of the area providing for the development of competitive advantages based on innovations and achievements in the research and development activities. Purpose of the article: The key goal is to present the proposal to use an aggregate (synthetic) measure for the purpose of identifying regional development potentials and next the initial smart specialisations (RSS). This approach is particularly useful at the very initial stage of recognizing the potential in the region, and ? after some modifications ? may offer a useful tool for assembling the de-velopment of industries (services) in the region. The additional goals are: (1) to organize the knowledge regarding statistical approaches and selected methods to be used in the process of identifying initial smart specialisations in regions (RSS); (2) exemplification of the presented methodology for the initial regional smart specialisations (RSS) identification in voivodeships in Poland based on a multivariate approach. Methods: Multivariate statistical analysis (MSA) methods are used in the identification procedure of initial regional smart specialisations (RSS), which allowed for performing the assessment in 4 areas: resources and capital; specialisation; development potential (dynamics); the involvement in research and development and innovative activities. They can also be extended with additional dimensions related to the cooperation of enterprises with social or environmental priorities. Findings & Value added: The conducted procedure allowed identifying NACE rev. 2 divisions useful in determining development potentials in Polish regions and later the initial smart specialisations (RSS). The identified initial RSS for Polish voivodeships can be a starting point for building regional smart specialisations based on values supply chain or other premises. Due to the universal nature of the proposed methodology, it can be widely used at the level of subregions, regions and the EU countries
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Identification of Regional Smart Specialisations on the Basis of aggregate Measures – A Case of the Dolnośląskie Voivodeship
(Wydawnictwo Naukowe Uniwersytetu Szczecińskiego, 2020) Bal-Domańska, Beata; Sobczak, Elżbieta; Stańczyk, Elżbieta; Uniwersytet Ekonomiczny we Wrocławiu; Wroclaw University of Economics and Business; Urząd Statystyczny we Wrocławiu
Research background: Strengthening endogenous potentials, enhancing competitive advantage based on research and innovation remains an important component of regional development policy. Over the years this task has been carried out through e.g. the identification and support focused on smart specialisations. Purpose: The purpose of the assessment was to identify smart specialisations in the Dolnośląskie voivodeship and evaluate their competitiveness against the background of other voivodeships. Research methodology: The set of diagnostic indicators as well as the dynamics and location measures calculated on their basis, and also linear ordering methods using a weights system (Synthetic Measure of Smart Specialisations – SMSS) were used to identify regional smart specialisations. A statistical analysis was conducted on the basis of data at the level of PKD divisions (Polish Statistical Classification of EconomicActivities; NACE is the EU equivalent). The identification was carried out taking into account the period 2012–2017 and focused primarily on 2017. Results: As a result, 4 RSSs were identified, of which the first two are the mining of non-ferrous metal ores and the production of motor vehicles. Novelty: The study proposes, based on the example of the Dolnośląskie voivodeship, the possibility of using linear ordering methods in determining the region’s smart specialisations (RSS), i.e. unique regional qualities and assets, which may constitute its competitive advantage, supported by appropriate research and development facilities and essential for the development of modern and innovative sectors of the economy.
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Barriers to Innovation Activities from the Perspective of Non- Innovative Enterprises in The European Union Countries
(International Business Information Management Association (IBIMA), 2020) Sobczak, Elżbieta; Głuszczuk, Dariusz; Wroclaw University of Economics and Business
The identification of barriers to innovation activities is of significant importance in the proper climate development for innovation. In the course of this process, it should be remembered that the perception of factors hampering or preventing the implementation of innovation activities depends on the characteristics of enterprises. The heterogeneity of perception is influenced by, e.g., enterprise size, the history of its operations, development strategy, the entrepreneur’s country of origin, the degree of innovation as well as the division into innovative and non-innovative entities. The latter should remain the subject of special interest, because the identified barriers determine their resignation from innovation activities. Therefore, the adopted research goals focused on identifying the key barriers to innovation activities among non-innovative enterprises in the European Union, the classification of countries regarding the similarities of factors determining the resignation from such activities and determining correlations between the indications to these factors and innovation activities in individual countries. This study was focused on verifying the hypothesis adopting that the perception of significant barriers to innovative activity by a wide range of non-innovative enterprises translates into the low intensity of innovative processes. The research results from the Community Innovation Survey (2016) and the European Innovation Scoreboard 2017 served as the information basis for the conducted analyses. The multi-dimensional statistical analysis methods, including data classification methods were used in the research.
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Typology of the European Union Countries in Terms of Barriers Hampering Innovation Activities – the Perspective of Innovative Enterprises
(International Business Information Management Association (IBIMA), 2020) Sobczak, Elżbieta; Głuszczuk, Dariusz; Wroclaw University of Economics and Business
The enterprises undertaking innovation activities in the European Union countries operate in a diverse environment, not always friendly to innovation processes. They are influenced by a number of internal and external factors constituting barriers for the implementation of innovations. As a result of diverse conditions for the development of innovation in the EU countries, the individual barriers to innovation processes may be of different significance for enterprises. The first part of the study presents an overview of the subject literature output focused on the systematics of key factors hampering or preventing the activities aimed at the implementation of innovation (e.g. deterrent and disclosed barriers, internal and external and also economic, knowledge-related, market and institutional ones). The second part discusses the results of empirical research focused on verifying the adopted hypothesis – the key barriers to innovation activities of enterprises in the EU countries create cost factors and their disclosure, along with other barriers, results in the interruption of innovation processes in their implementation phase (high intensity of obstacles to innovation activities is manifested in low values of the aggregate innovation indicator). The European Innovation Scoreboard data and the research results covering innovative enterprises as part of the last edition of the Community Innovation Survey constituted the information basis of the conducted analyses. The research used multi-dimensional statistical analysis methods, with particular emphasis on the classification methods.