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Aleksandra Kuzior

Bio: Aleksandra Kuzior is an academic researcher from Silesian University of Technology. The author has contributed to research in topics: Business & Sustainable development. The author has an hindex of 9, co-authored 26 publications receiving 280 citations.


Papers
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Journal ArticleDOI
TL;DR: The article specifies the organizational capabilities of application of artificial intelligence technologies in the model of sustainable development of the organization and the methodological approach to application of neural networks in maintaining of the intelligent management of organizational development.
Abstract: The article specifies the organizational capabilities of application of artificial intelligence technologies in the model of sustainable development of the organization. Also, the article provided the theoretical and methodological background of the organizational changes and development, as well as determined the possibilities of application of artificial intelligence technologies in the functionality of the organization. It was proposed to use the methodological approach to application of neural networks in maintaining of the intelligent management of organizational development. There was developed the combinatorial model of artificial intelligence for decision making about the organizational development.

79 citations

Journal ArticleDOI
TL;DR: The article formalizes theoretical and methodological foundations of the use of parametric artificial intelligence technologies to ensure the security of sustainable society development and proposes an algorithm for using an artificial neuron to describe a model of social development.
Abstract: The article formalizes theoretical and methodological foundations of the use of parametric artificial intelligence technologies to ensure the security of sustainable society development. An algorithm for using an artificial neuron to describe a model of social development is proposed. Optimization of the processes of using neural networks in creating an expert system for forecasting safe social development is conducted.

67 citations

Journal ArticleDOI
TL;DR: In this paper, the authors defined strategic links in the development of a system of stochastic models of enterprise management based on artificial intelligence, and offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of cognitive technologies.
Abstract: Abstract The possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.

65 citations

Journal ArticleDOI
30 Apr 2021-Energies
TL;DR: A factor-reflexive approach to diagnosing executives’ and contractors’ response to the implementation of tasks and the resulting changes takes into account the subjective component of their response.
Abstract: The article aims to enhance understanding of how relations, behavior and attitude of the executives and contractors to achieving the objectives by energy supplying companies affect the efficiency of the latter’s overall development. There is offered a factor-reflexive approach to diagnosing the executives’ and contractors’ attitude to realizing the tasks of developing the energy supplying companies. This approach includes models to identify and analyze the factors that influenced the change in contractors’ behavior based on the combination of expert techniques, correlation and regression analysis and evaluation of the personnel response to organizational, resource and staffing projects development, through accumulating sufficient statistical information based on the enterprise’s features, relations and environment. This approach to diagnosing executives’ and contractors’ response to the implementation of tasks and the resulting changes takes into account the subjective component of their response. Practical implementation of this approach in monitoring the conformity of the development tasks has proven the ability to identify problems from the viewpoint of the task executives.

35 citations

Journal ArticleDOI
TL;DR: In this paper, the impact of economic and environmental dimensions, and digital marketing on supporting post-industrial tourism development and the difference between attitude to postindustrial tourism on the gender, age, and education dimensions and digital channels on post industrial tourism development was analyzed.
Abstract: The accepted Sustainable Development Goals aim at reorienting the tourism industry to sustainable tourism and enhancing post-industrial tourism. In this case, it is necessary to identify the statistically significant determinants which affect post-industrial tourism development. In this paper, we aim to analyse: (1) the impact of economic and environmental dimensions, and of digital marketing on supporting post-industrial tourism development and (2) the difference between attitude to post-industrial tourism on the gender, age, and education dimensions and digital channels on post-industrial tourism development. The data was collected from questioning 2334 respondents during April–November 2020. The study applied the following methods: frequencies, percentages, t-test, and one-way ANOVA and multiple regression analysis. The findings confirmed the statistically significant impact of the economic and environmental dimensions, as well as digital marketing on post-industrial tourism development. The results of the analysis justified that digital marketing was a catalysator of post-industrial tourism development. In addition, the findings confirmed that there is no difference in attitudes towards post-industrial tourism with respect to the dimensions of age, gender, and education.

29 citations


Cited by
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01 Jan 2002
TL;DR: The revision of the Rating Outlook to Stable from Negative reflects Fitch's belief that the city may be required by the EPA to move to secondary treatment at its two largest treatment plants at some time in the future as mentioned in this paper.
Abstract: The revision of the Rating Outlook to Stable from Negative reflects Fitch’s belief that the city may be required by the EPA to move to secondary treatment at its two largest treatment plants at some time in the future. However, the timing and costs associated with this upgrade could be long term, near or beyond the final year of the current large capital plan (2019). Furthermore, negotiations and the final agreement regarding the timing of such regulatory upgrades may not occur quickly. The Stable Rating Outlook reflects Fitch’s expectation that the third rate package will be adopted and become effective in fiscal 2012 as anticipated and that a change in political administrations or New Issues Wastewater System Revenue Bonds (First Bond Resolution), Senior Series 2009A, 2009B, and 2009C Wastewater System Revenue Bonds (Second Bond Resolution), Junior Series 2009A

417 citations

Journal ArticleDOI
02 Jul 2020
TL;DR: In this article, the authors verify a hypothesis that a higher level of national digitalization provides positive trends in reducing the risks of poverty and social exclusion for the population The Digital Economy and Society Index (DESI) was used to evaluate the digitalization levels of the EU countries and the indicator "People at risk of poverty or social exclusion" (AROPE) was applied to estimate the poverty level.
Abstract: Despite the fact that a comprehensive analysis of digitalization processes in the EU member states has been carried out, the impact of a country’s digitalization level on the risks of poverty and social exclusion requires further investigation The purpose of the paper is to verify a hypothesis that a higher level of national digitalization provides positive trends in reducing the risks of poverty and social exclusion for the population The Digital Economy and Society Index (DESI) was used to evaluate the digitalization levels of the EU countries The indicator “People at risk of poverty or social exclusion” (AROPE) was applied to estimate the poverty level As the main research methods, the authors used a comparative and correlation analysis with respect to the above-mentioned indicators, as well as the Monte Carlo method in order to evaluate the probability of a change in the indicator “population at risk of poverty or social exclusion” in 2021 The EU countries with higher digitalization levels have a lower percentage of the population at risk of poverty and social exclusion However, a higher digitalization level of the EU member states does not provide an accelerated risk reduction of poverty and social exclusion Statistical calculations with respect to the entire population of these countries mainly indicate reverse processes At the same time, a further reduction of poverty and social exclusion level is less probable in the countries with a higher level of digitalization For relatively poor segments of the population (the 1st and 2nd quintiles by income) in the EU member states, the level of digitalization does not play a significant role For relatively wealthy segments of the population (the 3rd and 4th quintiles by income) the authors noticed a pattern: the higher the level of digitalization is, the lower the risk of poverty and social exclusion becomes A pairwise comparison of countries with initially similar AROPE values showed that in most cases (3 out of 5), the countries with higher levels of digitalization showed a more significant reduction in poverty and social exclusion However, the probability of further positive changes in this area is higher for the countries with a lower level of digitalization

130 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used the modern methods of normalisation, threshold vector determination, and dynamic weight coefficients in order to identify the level of social safety of society, taking into account the indicators of shadow economy and developing its strategic scenarios as a component of sustainable development of Ukraine by 2030.
Abstract: The paper is devoted to identifying the level of social safety of society, taking into account the indicators of shadow economy, and developing its strategic scenarios as a component of sustainable development of Ukraine by 2030. The authors used the modern methods of normalisation, threshold vector determination, and dynamic weight coefficients in order to identify the level of social safety of society. The authors developed the structure and a list of indicators considering three components of social safety: The standard of living, the demographic component, and the quality of life. This method allows determining the list and severity of threats, comparing the dynamics of integral indices with integral thresholds in one scale, identifying the state of security, and defining strategic goals and strategies. The suggested approach is universal and can be used by any country, region, economic activity, or business to develop evidence-based medium-to-long-term sustainable development scenarios.

84 citations

Journal ArticleDOI
TL;DR: In this paper, the authors defined strategic links in the development of a system of stochastic models of enterprise management based on artificial intelligence, and offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of cognitive technologies.
Abstract: Abstract The possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.

65 citations

Journal ArticleDOI
11 Jan 2021-Energies
TL;DR: In this paper, the impact of investment and institutional determinants on the energy efficiency gap in the country of Ukraine has been analyzed, and it is shown that increasing quality of the institutions leads to an increase of green investments in the energy sector and the dual relationships between investment and Institutional determinants lead to additional synergy effects, which allow boosting the decline of energy efficiency gaps.
Abstract: This paper aims to check the impact of investment and institutional determinants on the energy efficiency gap. The findings of the bibliometric analysis confirmed the growth of research interests in identifying the core determinants of the energy efficiency gap. The central hypothesises are: the increasing quality of the institutions leads to an increase of green investments in the energy sector and the dual relationships between investment and institutional determinants lead to additional synergy effects, which allow boosting the decline of energy efficiency gaps of the national economy. For the analysis, the times series were collected from the World Data Bank, Eurostat, Bloomberg, for Ukraine for the period of 2002–2019. The following methods were used: the unit root test—for checking the stationarity of data—and the Johansen test and VEC-modelling—for the cointegration analysis. The findings prove that to reduce the energy efficiency gaps in Ukraine by 1% next year, it is necessary to increase green energy investments by 1.5% this year, and the political stability and public perception of corruption by 3% and 1%. The increase of the public perception of corruption by 1.47 points and of political stability by 2.38 points leads to maximising the recovery speed of the Ukrainian energy sector. Thus, while developing the policy to decrease the energy efficiency gaps, the Ukrainian government should consider the level of public perception of corruption and political stability.

54 citations