Issue #2 (Volume 20 2022)

Job satisfaction covers all factors affecting a particular work activity. Gender is one of the internal job satisfaction factors. The purpose of the paper was to find job satisfaction differences related to gender in selected characteristics of employees working in the engineering sector. A questionnaire method was used to conduct the survey. Questionnaire items were selected from the questionnaire developed by Paul E. Spector (1994) and the Minnesota Satisfaction Questionnaire (MSQ). The respondents were employed in a Slovak engineering company, and the sample consisted of 60 respondents with balanced basic and specific characteristics. Paper questionnaires were distributed to the respondents while observing all the ethical rules of the survey. The results are expressed in means, standard deviations and p-values. In addition, a two-sample t-test was used. It was found that job satisfaction is perceived differently by male and female workers in the areas examined. Statistically significant differences were established in the areas of remuneration, recognition, and use of one’s abilities at work. Statistically insignificant areas of job satisfaction include meaninglessness of work, experiencing happiness at work more than others, and satisfaction with the relationship with supervisors.

Acknowledgment
The paper was written under the project Multiplier Effects of Human Capital Quality on Economic Performance and Competitiveness of the Slovak Economy and supported by the Grant Agency VEGA of the Ministry of Education, Science, Research and Sport of the Slovak Republic [No. 1/0357/21].

The current turbulent times have never been so demanding to adapt to ever-changing conditions. Small and medium enterprises (SMEs) form the cornerstone of the economy. Moreover, they are the driving force of economic processes in all countries. Therefore, this paper aims to empirically map and identify the causes of the crisis and statistically verify how these crises affect the personnel measures taken and human resource management (HRM) in SMEs. The chi-square test and Cramer’s coefficient were used to verify the statistical dependences of research questions and hypotheses. A statistically significant impact of external economic influences on enterprises’ activities was empirically confirmed (59%). It was proved that nowadays, the most important external factor influencing the activities of enterprises in the market is the COVID-19 pandemic. The study also focused on the personnel measures taken during the crisis. It was confirmed that small businesses apply alternative personnel measures, namely reducing variable wage components before radical redundancies.

Acknowledgment
This study was supported by the project DKRVO Tomas Bata University in Zlín – Risk management in logistics – RVO/FLKŘ/2021/03, Faculty of Logistics and Crisis Management, and project GAAA – Project risk management in the conditions of SMEs in the Czech Republic – GA/16/2019.

The year 2020 showed certain unpreparedness of the world’s countries for the challenges of the COVID-19 pandemic due to the unpopular measures of closed borders and total quarantine. The leading social component that opposes a pandemic is the healthcare system. Thus, the purpose of this paper is to assess the ability of European countries to respond to the COVID-19 pandemic. The cluster modeling was performed using the STATISTICA 7.0 package. As a result of modeling, the studied countries were divided into 4 clusters. The first cluster included nine countries. According to the smallest distance, the core countries in this cluster are Ireland and Bulgaria. The second cluster included seven European countries. The core country in this cluster is Sweden. Five of the studied countries were part of the third cluster. The core country in this cluster is Estonia. The fourth cluster included economically developed European countries with a Scandinavian social economy model and countries with a transitive social economy model. The core country in the fourth cluster is Germany. The recommendations for European countries can be introducing educational activities at the state level among the population on the importance of vaccination against COVID-19, increasing the staffing of the healthcare system, conducting the audit on the effectiveness of using public funds, and developing the medical infrastructure.

Management accounting practices (MAPs) are crucial for manufacturing firms to control diverse organizational operations and improve their organizational performance. The study aimed to analyze the scope of MAPs and their association with the organizational performance of Nepalese manufacturing firms. The outcomes relied on primary data obtained through structured survey from 223 medium to top-level employees of the selected companies. It was found that traditional management accounting practices had greater dominance (β = 0.817, p = 0.000) in the package of MAPs than contemporary management accounting practices (β = 0.707, p = 0.000) in Nepalese manufacturing firms. The extent of use of contemporary management accounting practices was marginally greater (mean = 3.757) than traditional management accounting practices (mean = 3.563). The analysis also disclosed no association of MAPs with organizational performance of Nepalese manufacturing firms. Though the study had a moderately small sample size from the manufacturing industry, future studies may examine the association between MAPs and organizational performance by taking samples of the manufacturing and service industry to ensure comparability and generalizations. The study endeavored to advance management accounting literature by presenting pragmatic evidence on the association of MAPs with organizational performance in the Nepalese scenario.

This paper analyzes the impact of work-family conflict on employees’ job satisfaction and job stress and determines how organizational commitment and social support reduce job satisfaction and job stress. The study employed a questionnaire to collect the data from 382 Islamic bank employees in Indonesia. After the data were collected, it was calculated using SEM-PLS. The results showed that work-family conflict was a significant predictor of job satisfaction and job stress. Furthermore, social support mediates the influence of work-family conflict on job stress. However, organizational commitment is not able to mediate the two variables. Practically, the results of this study indicate that bank employees have high work stress due to role conflicts that occur in their families. In addition, one of the causes of role conflicts is the government’s policy to work from home during the pandemic. Furthermore, social support can mediate the relationship between work-family conflict and job stress, meaning that social support can help employees reduce job stress due to role conflicts in their families. Therefore, companies must pay attention to the psychological condition of employees before giving assignments.

This paper aims to analyze the protection behavior of employees while working remotely during the Covid-19 pandemic using online video chat software. This pandemic changed the way organizations work, managers meet with employees, and employees communicate. An e-mail-based survey among computer users who use video chat software for remote working is employed in this study. Using 306 responses, structural equation modeling explores the relationship between privacy concerns, protection behavior, and antecedents. The technological changes induced due to Covid-19 influence privacy concerns and protection behavior. Privacy efficacy increases privacy concerns and protection behavior. Perceived vulnerability increases privacy concerns. Perceived effectiveness of organization software affects privacy concerns but does not affect protection behavior. There is a positive relationship between privacy concerns and protection behavior; however, this positive relation is negatively moderated by a propensity to trust. A finding of threat severity measure using Covid-19 factors concludes that both privacy concerns and protection behavior increased for online video chat software users. The theoretical model explicates 75% of variances in privacy concerns and 57% of variances in protection behavior. Every one-unit increase in Covid-19 induced changes regarding the work environment increases the privacy concern by 35%, and every one-unit increase in perceived effectiveness of organization software increases privacy concern by 22%. Every one-unit increase in the privacy concern increases the protection behavior by 48%, and every one-unit increase in privacy efficacy increases protection behavior by 59%.

Acknowledgment
The assistance provided by Arun Thottath in reaching out to survey participants was greatly appreciated.

The COVID-19 pandemic has posed unprecedented healthcare and economic resilience challenges for the world. This study systematizes the policy measures taken by the Visegrad Group and Ukraine to support national economies in response to the pandemic. The paper is based on a grouping method to systematize the policy measures, and a tabular method to present the results of the policy measures classification. Following systematization results, the policy measures for ensuring the economic resilience under the pandemic are classified as quarantine and compensatory measures. Additionally, quarantine measures were classified into prohibitions, restrictions, and recommendations. Compensatory measures were classified by the type of policy and grouped according to the global dimension in periodization of the COVID-19 waves. The analysis of quarantine measures in Ukraine and Visegrad Group also shows that prohibitions had been used most frequently and for the longest time in Ukraine, particularly they included school closures, public transport closing, and restrictions on internal movement. Meanwhile, fiscal, macroprudential, and microprudential measures prevailed among the compensatory measures. Simultaneously, 38% of all fiscal measures were direct grants to households and enterprises. The largest number of various measures (78) were implemented in Poland, linking quarantine and compensatory measures. The least compensatory measures were implemented in Ukraine (19) and Slovakia (15). Overall, policy measures helped to avoid a worse scenario of pandemic impact but did not help to overcome the effects of the pandemic fully.

Sustainable human resource management has gained significant attention and importance over the past years. The present paper aims to review the sustainable HRM literature by identifying the existing research clusters relating to the field and analyzing the common themes per cluster to organize the intellectual base on the topic and identify possible research gaps. There has been a consistent increase in research publications since 2017. The cluster analysis conducted in the present study presented the current state of research per type of sustainable HRM, with over 60% of studies relating to green HRM. General sustainable HRM follows this with 27% and socially responsible HRM – with 11%. In addition, the review sample extracted from the Scopus database showed how sustainable HRM involved CSR, sustainable development, environmental management, and supply chain management.
Moreover, it showed how it could be linked with other disciplines, different contextual variables, and possibilities for cross-disciplinary studies. Furthermore, the results show that much research has concentrated on the green HRM cluster, followed by general sustainable and socially responsible HRM clusters. This paper provided an opportunity to see in a comprehensive way what research is being done per cluster and find the possible research gaps in the current body of literature.

The study is conducted to investigate the impact of corporate governance and ownership on business performance in listed firms on the Vietnamese Stock Exchange. The study employed the general regression method (GLS) with a sample of 506 listed firms in the period 2008–2020. The study demonstrated the impacts of corporate governance and ownership on firm performance. First, the size of the Board of Directors (BOD), state ownership, and foreign ownership have a positive impact on firm performance. On the contrary, the ratio of independent members in the BOD and the percentage of members of the BOD who are major shareholders have a negative impact on firm performance. An interesting finding is that the BOD with female members, the duality of director and chairman, and the ratio of independent members have a negative impact on the Board of Management. In contrast, firms with no female members in the BOD have a positive relationship with firm performance. The empirical results and recommendations in this study might be good instructions for firms to improve their firm performance.

Safety climate can be regarded as a summary of moral perceptions that employees share about their work environments. This study explores the attitude of employees (working on production sites) towards the safety climate of a manufacturing firm producing medical equipment located in Kuala Lumpur (Malaysia). The data were collected through an open-ended questionnaire from 30 employees working in the manufacturing section of Setia Tek Limited. All the responses from open-ended questionnaires were analyzed descriptively and interpretively simultaneously using a thematic content analysis method. The findings indicate that the overall perception of the majority (67%) of employees about safety climate is positive. The research findings further reveal that majority of employees share a common understanding of the significance of the managerial strategies in business operations. With regard to the contribution of dimensions to shaping safety climate perceptions, the analysis reveals that all nine dimensions (safety concept, risks associated with daily work, cause of accidents, safety policies, regulations, and procedures, balance productivity goals and safety goals, commitment of the upper management, commitment of the immediate supervisor/ manager, commitment of employees, adequate training and competency, disciplinary actions for safety violations, accident investigations) positively contribute to employees’ safety perceptions.

Financial security of a country is an integral part of its economic security and the basis of national security. The paper aims to assess and forecast the level of Ukraine’s financial security using two methodological approaches (the existing one and the authors’ elaboration) to choose the best alternative. The first one is based on the Methodology of the Ministry of Economy of Ukraine. The alternative one has been developed as a multiplicative model of non-linear convolution of relevant direct and indirect impact indicators, considering the opportunity and risk, which is based on a combination of a power function and the Harrington method. A database of input indicators was formed with further differentiation according to their impact on Ukraine’s financial security. The research results demonstrated that during 2013–2019 Ukraine’s financial security integrated index was cyclical and constantly changing. A comparison of the existing methodology and the developed model demonstrated a certain discrepancy between the obtained results. It was substantiated that the proposed multiplicative non-linear convolution model for assessing and forecasting the state’s financial security is more relevant, includes current indicators sorted by their direct and indirect impact, and adjusts them according to the risk of impact on overall security in the country.

The need to increase the price of non-green, carbon-emitting goods, as well as the application of new environmental taxes and fees to help solving the global climate crisis, has been actively discussed. However, price is not only a strong impetus for market development, but it can also restrain growth. The price level and population purchasing power belong to the key indexes that define the market capacities in different countries. This paper aims to investigate the impact of income inequality, including price levels and purchasing power, on environmental performance in different countries. The research method is based on RapidMiner’s machine learning programs, applying three modeling algorithms: correlation, clustering, and decision trees with a static index database of more than 150 countries around the world. The results obtained partially confirm the conclusions made by other researchers studying the Environmental Kuznets concept (EKC) effects. In particular, it was found that an important factor influencing the efficiency of the environment in the country’s ecosystem is the level of population’s income. The analysis also shows that environmental performance is strongly dependent on domestic price levels. This may support the hypothesis that the cost of green goods reflects a high benchmark for natural resource costs. However, further research is needed, including such directions as sources of financing for the implementation of circular projects, as well as the associated economic and environmental effects.

Turnover intention is an essential issue for every organization as retaining experienced and knowledgeable employees is an essential factor contributing to an organization’s competitive advantage and sustainable growth. Governmental and non-profit organizations, in particular, need to develop measures for reducing the increasing rate of turnover among federal officials. This study examines the factors influencing intentions to leave among civil servants in the public administration sector. Therefore, an online survey was undertaken to collect data from the targeted respondents, who are employees and managers working in governmental organizations in Vietnam. By using the convenience sampling method, a total of 300 responses were obtained. Men made up 53.3% of the participants, while women made up the remainder. Nearly 60% of the participants work for governmental and political organizations, and the rest work for state unions. The collected data were then processed via AMOS software and analyzed using the Structural Equation Modeling approach. The results indicate that job satisfaction strongly affects employees’ turnover intentions, with a path coefficient of 0.352 and a p-value less than 0.001. In addition, perceived organizational support has a significant positive relationship with organizational commitment, evidenced by the path coefficient of 0.315 and p-value less than 0.001. Overall, the results suggest that organizations are more likely to retain qualified and committed employees when they attempt to develop appropriate training programs and an incentive reward system.

The COVID-19 pandemic has made many companies in China adopting telecommuting to continue their operations. Like traditional office work, telecommuting requires communication and cooperation to complete the work, and getting along with others means the possibility of conflict. Therefore, conflict can also occur in telecommuting. The purpose of this paper is to analyze telecommuting based on conflict process theory and build a model to test the hypothesis. Quota sampling and convenience sampling are used to conduct online questionnaires, and quantitative research methods are used to analyze the collected data and provide solutions. To this end, 282 Chinese respondents from different service industries completed online questionnaires. Through empirical analysis, the results show that telecommuting has a significant negative relationship with inter-role conflict and interpersonal conflict but has a significant positive effect on stress. In addition, interpersonal conflict, stress, and inter-role conflict have significant positive impacts on affective conflict. Similarly, interpersonal conflict and stress have significant positive effects on cognitive conflict. However, the relationship between inter-role conflict and cognitive conflict, cognitive conflict, and affective conflict is not significant. Thus, the results provide suggestions for managers on how to manage telecommuters and key factors that need to be considered. It also provides a new way for other scholars to study telecommuting.

Acknowledgments
We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

The disruptive technologies and cyber-physical production systems are important factors that bring transformations to socio-economic formations. The paper aims to formulate the content, key directions, positive and negative effects of additive economy (AE) in the current transition phase to Industry 4.0. The research method is based on the analysis of structural links in socio-economic systems, where the additive economy potential is realized. The additive economy is treated as a new approach to production technological aspect based on the additive principle of manufacturing and aimed at minimizing the use of primary natural resources for dematerialization of social production. AE is the antithesis of the subtractive economy, which dominates today and uses only a tiny proportion of extracted natural resources. Among the positive effects of AE, there are the reduction in energy intensity of products, dematerialization of production, solidarity of society, economic systems sustainability, and intellectualization of technologies and materials. Among the negative expectations of AE, there are increased information vulnerability of production, risk of losing control over cyber-physical systems, expanding the unification of individuals, and increasing psychological stress. The additive economy is more sustainable than the subtractive economy since it does not require extra components to the production spheres, reduces the resource scarcity, and could satisfy more economic agents’ needs. Therefore, improved production efficiency due to AE promises economic growth acceleration, environmental burden and social risk reduction.

Acknowledgment
The publication was prepared in the framework of the research projects “Sustainable development and resource security: from disruptive technologies to digital transformation of Ukrainian economy” (№ 0121U100470); Fundamental bases of the phase transition to an additive economy: from disruptive technologies to institutional sociologization of decisions (No. 0121U109557).

Entrepreneurial activities seek to fill the gaps created by the government’s inability to employ their citizens globally. However, design thinking, which is a human-centered and solution-based approach to problem-solving can enhance entrepreneurial success. This study investigates design thinking and business success in Nigeria. The purpose was to determine how design thinking influences business success using the five-stage model of design thinking as its framework. The study employed a quantitative methodology. The design was a cross-sectional survey of 224 out of 350 randomly selected online respondents that were invited. The respondents, who were either entrepreneurs or people with knowledge of entrepreneurial education at the undergraduate or postgraduate levels, were contacted through social media (Facebook and WhatsApp) and a structured questionnaire was used to elicit information from them. The data were analyzed using the structural equation modeling technique. Empathy, problem definition, ideation, prototyping, and product testing were found to be positively related to business success. However, while the positive relationships between empathy, problem definition, prototyping, and product testing were found to be significant at a 1% level, that of ideation was not significant at all; thus, empathy, problem definition, prototyping, and product testing are predictors of business success. Consequently, at a 99% confidence level, it is concluded that empathy, problem definition, prototyping, and product testing, and by implication, entrepreneurial design thinking, are significant predictors of business success.

In conditions of forced isolation, nature-based tourism meets the needs of safe and comfortable recreation and travel combined with the solution of acute issues of medical treatment and rehabilitation during the pandemic and post-pandemic periods. This study aims to develop a model for decision-making on change management in nature tourism based on the approach of linear economic and mathematical programming. The paper formalized changes in the variability of objective function parameters of the model and the system of its restrictions, following the structure of assets of nature-based tourism, balanced by the sustainability principle. The algorithm for implementing the model includes four stages: collection and processing of relevant data on nature-based tourism; considering changes in the objective function and the system of its limitations; linear programming with variability tests using the simplex method; defining ranges/limits in which decisions are made. The initial data are summarized and averaged based on the primary data analysis on the functioning of sanatoriums and other tourist and recreational facilities in Ukraine. Short-term nature-based tourism is considered, the services of which are classified according to the criterion of the primary purpose of travel: “wow-effect” tourism, sports tourism, health tourism, traditional recreation, and green tourism. The results make it possible to substantiate decisions on changes in recreational land areas and human resources, on the limits of changes in income due to the dynamics of service prices, as well as determine the price range while maintaining income structure and sustainability limits for natural and human assets of nature-based tourism.

Acknowledgment
The paper contains the results of a study conducted under the National Academy of Science of Ukraine’s grant Formation and Use of Natural-Resource Assets of the Recreational and Tourism Sphere (0120U100159) and the Nominal Scholarship of the Verkhovna Rada of Ukraine for Young Scientists-Doctors of Sciences for 2021 (0121U113482).

The proliferation of international business activities drives organizations to expand their operations into new areas and propels human resource management (HRM) to ensure hiring and retaining competent personnel. Consequently, firms have been struggling to place qualified people in relevant roles and provide adequate training. This study utilized information technology to solve these challenges using a web-based system to interconnect the processes, receive the data from the job applicants via a web-based interface, and connect them with suitable employment. Firstly, the proposed model presented a hybrid technique of Convolutional Neural Network (CNN) with Long Short Term Memory (LSTM) Cloud Web-based Human Resource Management System (CLWHRMS) by recognizing distinct features and forecasts the candidate’s potential under various classification tasks. For this, the study used a set of various software tools for web pages and database designing, including for the alteration of images. The hybrid model was executed using real-time data of 250 resumes, which were collected through an online database to validate the overall performance of the developed web-based system in terms of its accuracy, sensitivity, and specificity. Though the specificity was the same with all the techniques, the results illustrated CNN-LSTM technique was 91% accurate and 90% sensitive compared to the traditional methods. This CNN-LSTM model automatically estimates the suitability of a job candidate and projects his/her workability contributing to Saudi Arabian firms to ease and enhance their recruitment process.

Acknowledgment
This project was supported by the Deanship of Scientific Research at Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia under the Specialized Research Grant program with Grant No-2021/02/18747.

In modern business, the phenomena of “nepotism” and “cronyism” are often observed, which are usually associated with corruption in the public sector and abuse of public resources. However, these phenomena are international in scale, and no country or sector of the economy is free from them. Existing research does not identify shared and contradictory interests of individuals based on nepotism or cronyism. This study aims to fill this research gap. A research hypothesis was developed and tested in order to determine a point from which nepotism and cronyism are not beneficial to their perpetrators. The research data included Poles and Albanians. According to Transparency International (2022), the obtained results showed that Polish society is currently less vulnerable to corrupt practices than Albanians. Moreover, it was substantiated that relative altruism operates as the mechanism that explains nepotism or cronyism practices. Individuals involved in nepotism or cronyism perceive these practices as a tool to reduce the risk of their operations failing. However, the phenomena lead to long-lasting reciprocity, like in the case of corruption. This study contributes to a better contextual diagnosis of organizations and helps develop preventive strategies.

In the twenty-first century and under the framework of the fourth industrial revolution, virtual leadership emerged as a new way to direct and lead companies and organizations in the public and private sectors. In this regard, it should be mentioned that this situation is the result of the profound effects and changes of the digital revolution in the business world, which are a consequence of the globalization process and the rise of the so-called Information Technology and Telecommunications (ICT). Therefore, the objective of this narrative literature review is to know what has been written about virtual leadership between 2016 and 2021. As a result, 58 sources of information were reviewed, their level of scientific evidence was evaluated, and opportunities for growth and development in business and commercial activities were identified. In addition, a business management alternative to mitigate the impacts of the new Covid-19 (SARS-CoV-2) pandemic was analyzed. Hence, this paper is highly relevant, as it also considers elements such as personalized communication and digital tools. In conclusion, it was found that virtual work generates benefits, including time savings and quick contact. However, it presents challenges for leaders, such as the challenge of connectivity, motivation, and collaborators’ commitment.

COVID-19 affects all aspects of life, including work patterns, work behavior, and daily routines. It has also prompted organizations to change how they operate, working more from outside the office due to government restrictions. Therefore, many activity restrictions were introduced due to the COVID-19 pandemic; however, office activities must continue. This creates a new need for the availability of satellite offices as a solution for companies and employees in carrying out organizational activities. This paper analyzes factors that influence the selection of satellite offices during the COVID-19 pandemic and the new normal. Quantitative research was used in this study; the data were analyzed using descriptive analysis methods and cross-tabulation analysis. Data were collected by distributing questionnaires to 65 users of the satellite offices in Jakarta. The results show that the majority of users choose a satellite office by considering the proximity to their place of residence, and room comfort, which is then followed by the availability and stability of internet access. In general, satellite office users also consider the price and choose the daily billing system over other billing systems. Thus, workspace providers in the satellite office can formulate the right strategy to attract satellite office users by choosing a proper location, fulfilling room comfort facilities, price positioning, and the billing system used.

The COVID-19 pandemic has intensified the issue of strengthening the financial support of human capital development and enhancing its impact on economic growth. This study aims to assess the impact of financial support of human capital development in terms of public spending on health and education on economic growth. Economic-statistical methods and correlation-regression analysis are used to determine the impact of the share of public spending on health and education in GDP on real GDP, and to assess the characteristics of financial support of human capital development. The study reveals evidence of a link between the level of public funding for human capital development and real GDP. At the same time, for Ukraine and the countries-full members of the Commonwealth of Independent States, in particular Armenia, Azerbaijan, Kazakhstan, Moldova, Belarus, the Kyrgyz Republic, Uzbekistan, and Russia, the results of the study were mixed. In recent years, with the share of public spending on health and education in GDP growing by 1 percentage point, real GDP has grown in 4 and 5 countries, respectively, and decreased in 5 and 4 countries out of 9 studied. The results show that a significant deterrent to strengthening the financial support of human capital development and its impact on economic growth is a significant level of uncertainty in economic processes, which determines the importance of revising the forms and methods of public financing of human capital.

This study aims to examine and prove the effect of personal and reliability factors on both the adoption as well as the utilization of e-government indirectly through the intention to use. The proposed model uses various theories, such as technology acceptance, diffusion of innovation, and unified theory of acceptance and use of technologies. It incorporates contracts from the e-government adoption and usage model to explore and understand the factors that drive different types of e-technology adoption and use. Employing purposive sample, the paper collected around 158 respondents that were used to support this study. According to the findings, there are 103 government employees in the sample, 36 general public, and 19 businessmen in the Provincial Government of DKI Jakarta (Indonesia). After the questionnaire’s reliability and validity were rigorously evaluated, the data were analyzed using the Structural Equation Modeling (SEM) technique. The results indicate that personal factors and perceived trust significantly affect the adoption and the utilization of e-government. In addition, reliability variables highly influence intention to use. Moreover, intention to use does not mediate the effect of personal factors, reliability factors, and e-government adoption use. This study is expected to be material for consideration and evaluation of the quality of ICTs-based public information for government officials and staff.

The need for state management of the land market is stipulated with the necessity for rational use of agricultural land and preservation of its fertility. This study aims to identify the risks that have arisen with opening the land market in Ukraine. Moreover, it develops effective measures to minimize such risks, designed to enforce the legal right of amalgamated territorial communities to acquire ownership of agricultural land. The comparative law method was used in a sample analysis of legal precedents on liability for offenses in land relations, as well as the regulations that establish liability for offenses in this field and certain provisions of the legal precedents of the European Court of Human Rights. Following the study, proposals were formulated intending to improve land management in favor of the decentralized model and enforce the legal rights of amalgamated territorial communities due to the opening of the land market in Ukraine. An innovative strategy is proposed for the functioning of land relations, aimed to improve the process of their regulation in the land market performance, and its components are outlined. Implementation of the proposed strategy for the functioning of land relations will improve the transfer mechanisms of agricultural land to the amalgamated territorial communities. It will also mitigate the identified risks in the land market performance in Ukraine.

Integrating environmental objectives into an organization’s mission and strategies improves the organization’s image as a socially responsible organization and helps it take a leading position of advantage. Due to the increasing pressures towards sustainability and environmental policies, organizations are making efforts in this direction. This study is aimed at identifying the impact of green organizational identity (GOI) on green innovation (GI). Data were collected from 168 employees working in food and beverage industry companies listed on the Amman Stock Exchange. SPSS was employed to analyze the data and test the hypothesis. The study finds a significant positive effect of GOI on GI product and GI process. The study recommends that companies show interest in GOI for their role in raising GI levels. Due to cultural differences between countries that limit the generalizability of the study results, it is recommended to conduct another study in Western culture to determine their applicability.