The impact of the COVID-19 pandemic on the intellectual labor market

BACKGROUND AND OBJECTIVES: The impact of the COVID-19 pandemic on labor markets are extensive. One of the few labor sectors where demand has exceeded supply as a result of the impact of the pandemic is the intellectual labor market. It is explained by two factors. First, intellectual work is the engine for scientific and technological progress, which helps to overcome the crisis. And, secondly, in most cases, such employees can work at home. METHODS: The “loosened rock” method, factor analysis were used to determine the factors influencing supply and demand in the labor market before and after the COVID-19 pandemic in Ukraine. STATISTICA software (version 13.0) was used to conduct all the analyses. FINDINGS: The results showed that the demand on the labor market is affected by 3 factors: the number of implemented scientific-innovative developments (dispersion 65.93%), the volume of their financing (dispersion 12.19%), and the level of their legal protection (dispersion 11.13%). Supply depends as well on three factors: the potential volume of scientific developments in Ukraine (the dispersion of 48.61%), the number of employees engaged in intellectual labor (the dispersion of 24.79%), and the level of qualitative supply of executors of scientific-innovative developments (the dispersion of 14.23%). The monitoring of supply and demand in the market of intellectual labor showed that there was an excess of supply over demand (by 13%) before the pandemic COVID-19, and there was an excess of demand (by 20%) after the pandemic COVID-19. CONCLUSION: These results can provide employers with important information to optimize the organization and planning of intellectual work, which will help to resolve the conflict between the possible consequences of the COVID-19 pandemic and scientific and technological progress, may be applicable in Ukraine and other countries. © 2022 by the Author(s).

The social responsibility of distance higher education in the COVID-19 pandemic

The purpose of this paper is to determine the actual and ultimate necessary level of social responsibility of distance higher education in the context of the COVID-19 pandemic. The article presents a model for assessing the effectiveness of teaching and social responsibility of distance higher education in the context of the COVID-19 pandemic. This model, unlike the existing ones, takes into account organizational and technological, economic, and socio-pedagogical factors. The degree of influence of the presented factors was revealed using factor analysis. Based on the taxonomic method and cluster analysis, clusters of universities were obtained by the level of teaching effectiveness and social responsibility of distance higher education in the context of the COVID-19 pandemic. The initial data included online reporting of SO higher education institutions from the Top 200 Ukraine rating for 2020;the results of a survey of teachers and students on the Google Forms platform. The proposed model, unlike the existing ones, makes it possible to adjust the components of distance learning at universities, to develop a system of measures to increase the level of social responsibility of distance learning in the context of the COVID-19 pandemic. (C) 2022 The Authors. Published by IASE.

Using the Model of Benchmarking of Educational Services in a Socially Responsible Education-Innovation Cluster during the Covid-19 Pandemic

Purpose of the study is to substantiate the feasibility of using the model of benchmarking of educational services in the socially responsible educational-innovative cluster in the context of Covid-19 pandemic. Specifically, the authors focus on justify a "nuclear" approach to the cluster formation. The process-oriented benchmarking model was used to apply best practices of providing higher educational service in the context of Covid-19 pandemic. The method of factor analysis was used to determine the impact of each of the 4P subsystems of benchmarking. Using the method of benchmarking makes it possible to develop a final competitive product in the context of the Covid-19 pandemic - an educational service for all industry and territorial stakeholders. In the light of Covid-19 pandemic, the formation of socially responsible educational-innovative clusters in Ukraine is one of the most promising and effective trends to modernize the provision of educational service. The uniqueness of the educational service is created by strengthening and synergizing the competitive advantages and competencies of all participants in the educational cluster: teachers, students, employers, research staff, the local community. © 2022 Eskisehir Osmangazi University. All rights reserved.

THE USE OF UNIVERSITY BIOSYSTEM ENVIRONMENTAL PROTECTION PLATFORM TO PREVENT A NEW OUTBREAK OF THE COVID-19 PANDEMIC

The purpose of this study was to determine the possibility of practical use of the Hackathon Platform for ecological protection of the university biosystem to prevent a new outbreak of the COVID-19 pandemic. The COVID-19 pandemic significantly affects companies and population's behaviour. The most significant change occurred in the attitude of companies to the environment from technical and technological points of view. To increase their production sustainability, these companies are looking at the possibilities of waste recovery through sustainable recycling, or recovery of waste as a source of secondary raw material. One of the simplest ways is to use agricultural waste for energy purposes, bringing bioenergy to the forefront as a new area of Industry 4.0. The ALARA model was used to assess the quality of six biosystem components (atmospheric air, water resources, soil layer, the level of land pollution with chemicals and littering by the unauthorized dumps;sufficient volume of green planting on the territory). This allowed the development of management decisions and environmental protection measures based on the system of calculated indicators of potential environmental damage for each of six biosystem components. The forecast of plan implementation: the quality of four from among six biosystem components (atmospheric air, water resources, soil layer, sufficient volume of green planting on the territory) will increase on average by 30-40%. A minor improvement in the quality of the other biosystem components (approx. by 10%) raises concerns about the high probability of a new outbreak of the COVID-19 pandemic.

Clustering of banks by the level of digitalization in the context of the COVID-19 pandemic

The COVID-19 pandemic has complicated the operating environment for banks around the world. Determining the drivers of digitalization of banking services based on the principles of corporate social responsibility of banks makes it possible to find a way out of the crisis. The objective of the study is to develop a model for clustering banks in terms of the level of digitalization on the principles of corporate social responsibility. In this study, a twofold model has been proposed: The first part includes the calculation of the level of digitalization of banking, and the second part includes mathematical simulation of the clustering of bank digitalization level. This study reveals new possible solutions to the digitalization of banking in the face of new threats. In particular, factor analysis identifies the main factors, cluster analysis ranks banks into three categories (A, B, C) of service digitalization, and a dendrogram identifies digitalization drivers. The model was tested on 22 banks. Eight per cent of the banks are rated A "Very good" and B "Good". 92% have Level C "Satisfactory". The results of the study prove that the model should be validated. It should be confirmed that the application of the developed methodology for increasing the digitalization of banking services will increase customer loyalty by 15%, improve sustainability by reducing risk by 10%, and make banks attractive for investment by 15-20%. © 2022 LLC CPC Business Perspectives. All rights reserved.

Energy-innovation knowledge common connection point management in preventing outbreak of the Covid-19 pandemic in a university

BACKGROUND AND OBJECTIVES: The new wave of the Covid-19 pandemic has complicated the working conditions of higher education institutions in Ukraine. In this regard, saving energy resources of the university offers an opportunity to get out of the crisis. The purpose of the study is to develop a management system for energy complexes with non-conventional renewable energy sources in the context of preventing a new outbreak of Covid-19 pandemic. METHODS: The method of Deutsche Gesellschaft fur Nachhaltiges Bauen was used to conduct energy audits, construct energy profiles of university offices. The cluster analysis was used to perform energy certification of university offices according to the indicators of integral energy efficiency potential and the level of annual specific energy consumption. Fuzzy methods made it possible to classify all the buildings into 3 categories (A, B, C) to prioritize their use in the light of Covid-19 pandemic. The system for monitoring the attained level of energy efficiency is based on the use of discriminant analysis. FINDINGS: Implementation of the weighted strategy has proved that the classes will be given online, 23% of all offices. Category A (administrative, technical, service buildings;laboratories with unique equipment with 24-hour service) will be used in a pessimistic scenario (continuation of Covid-19 pandemic). In the optimistic scenario (end of Covid-19 pandemic), by means of the suggested energy efficiency monitoring system, the probability of using category A offices makes 100%, B offices- 50% and C offices - 13%. CONCLUSION: Implementation of the developed energy efficiency action plan will offer the opportunity for the University to use reasonably the common connection point of knowledge management of energy complexes with non-conventional renewable energy sources in the context of preventing a new outbreak of the Covid-19 pandemic. The profitability of implementing a weighted energy efficiency strategy is 15%, with a payback period of 6.7 years for the purchase and installation of non-conventional renewable energy equipment. In the future, it would be advisable to convert gradually all of the remaining 14 university buildings to the autonomous use of non-conventional renewable energy sources, using a common connection point for the knowledge management of the energy complexes.

Using a sharing-platform to prevent a new outbreak of COVID-19 pandemic in rural areas

BACKGROUND AND OBJECTIVES: A new wave of Covid-19 pandemic has worsened the epidemiological situation in Ukraine. This caused the need to tighten quarantine measures that have been introduced since 31.08.2020. The conducted analysis showed that there are 3 groups of technologies for digital contact tracing: from maximum (25%) to minimum (20%). Objective of the study is to develop an exchange platform to track the spread of COVID-19 in rural areas. METHODS: Factor analysis identified key factors of COVID-19 virus spread. Cluster analysis identified clusters of COVID-19 spread. Taxonomy method established the limits of using contact tracing methods. Discriminatory method makes it possible to change the applied contact tracing method. FINDINGS: The results showed that the identified factors (medico-demographic special features of Covid-19 virus spread;rural infrastructure to counteract the infection) describe in total 83.24% of the data processed. Specified 4 clusters differ in the level of susceptibility of the population to COVID-19 and infrastructure development: from minimum (33% of the united territorial communities) to maximum - 13% of the united territorial communities. The value of the integral indicator calculated provides means for establishing the maximum (8.5) and the minimum (2) limit of changes in the method of digital contact tracing. CONCLUSION: The developed methodology was implemented on the basis of the united territorial communities of Sumy region. Monitoring of changes in the epidemiological situation made it possible to justify the need to change the contact tracing model, which will reduce the epidemiological level in the region as a whole by 30%. ©2021 GJESM. All rights reserved