Journal of Wellbeing Technologies

In the conditions of unstable transport flows, increasing requirements for the quality and speed of transportation, and the complication of logistics chains, the country transport and logistics system is inevitably transformed through the introduction of innovative technologies and restructuring. This determines the relevance of the problem of forming new approaches to organizing the interaction of transport and logistics entities, which will ensure the necessary pace of development of the country transport and logistics system in accordance with its strategic priorities and global economic challenges. One of these approaches is clustering and stimulation of innovative activities in the field of transport and logistics. However, despite the growing scientific interest in these issues, a methodological toolkit for the effective management of clustering and innovative development of the country transport and logistics system has not yet been formed. Aim. To identify the main factors that are interconnected with the efficiency of the transport and logistics system, expressed through the logistics performance index for 2023. Methods. Methods of formal logic and point assessment, horizontal, structural-share and multi-factor correlation analysis. Results.  Using these methods the author has identified and studied the main characteristics of the system of transport and logistics clusters of Europe formed, a system of indicators for assessing the factors that can influence the efficiency of the transport and logistics system of the country and established the relationship of high and medium strength between the logistics performance index indicators. In addition, the author specified the concept of a transport and logistics cluster taking into account the characteristics considered. It was revealed that the efficiency of the transport and logistics system is largely associated with such clustering characteristics as innovativeness, structure of participants and maturity of clusters. The further direction of the study involves conducting a multi-factor regression analysis of the factors under consideration in order to build a clustering model in the field of transport and logistics.

Relevance. The real capabilities of employees in the workplace include expectations for stable ear-nings, opportunities for training and development, social interaction, and involvement in a shared goal. In response to these emerging needs, organizations are offering comprehensive programs to support various aspects of employee well-being – physical and emotional health, spiritual growth, and financial management. All areas of employee well-being are at the forefront of companies concerns. Aim. To explore how employee well-being programs can meet real workplace needs. Methods. This research is based on Gallup's methodology, which defines well-being in terms of five areas of functioning – career, social, financial, physical, and psychological. We employed a sociological survey using the Q12 questionnaire, with minor adaptations and adjustments. Result. The data collected allowed us to assess the well-being of organization employees and develop strategies to improve well-being in particular areas. The survey revealed that in each of the five areas of well-being, there were some unmet needs that could be addressed. Conclusion. Our findings indicate that the productivity of employees is dependent on their satisfaction of real capabilities and overall well-being. This means that it is not just about their labor rights, timely wages, or even their physical health. It also includes their mental and emotional state, as well as their social environment. Environmental factors, such as the work environment, can have a significant impact on employee performance. Therefore, organizations need to take these factors into account when deve-loping programs to support their employees.

Relevance. Growing importance of technological independence in the context of global economic and political challenges. The imposed sanctions restrictions lead to the transformation of economic processes, which include restricted access to external markets, investments, technologies and innovations. Under such conditions, the search for effective solutions that can minimize the effects of the imposed sanctions and accelerate the transition to independent and high-tech production becomes a priority task. Aim. To analyze the use of cross-cutting digital technologies to counteract sanctions pressure in the Russian Federation. Methods. Analysis of scientific works devoted to the assessment of the use of modern technologies in various fields and analysis of the impact of sanctions restrictions on the Russian economy; generalization and synthesis of the author's idea of using cross-cutting digital technologies as a tool to counteract sanctions restrictions. Results. The analysis of the possibilities of using artificial intelligence, machine learning, the Internet of things, electronic technologies, additive technologies and quantum computing as tools to counter sanctions restrictions shows the following feature – these information technologies have minimal potential for reducing restrictive measures. They can significantly increase economic and technological independence, accelerate the production localization and enhance data security. The practical application of these solutions has already demonstrated positive results in a number of industries, and their development in the Russian Federation can significantly mitigate the effects of the imposed sanctions, ensuring technological sovereignty and long-term sustainability of the economy.

Relevance. The development of interest and involvement of women in entrepreneurial activity will ensure gender equality in the labor market, reduce unemployment, improve the standard of living, increase the country gross domestic product and fill the budget through tax deductions. In addition, developing their own business will facilitate personal growth and professional self-realization of women, reduce social tension in society. Aim. To study the reasons for the interest of Russian women in entrepreneurship. Methods. Systematization and generalization of data, comparative analysis, survey. Results. The paper considers the main regulatory documents governing the development of women's entrepreneurship in Russia. The author has analyzed the data of gender statistics on the number and employment of the population at the beginning of 2020–2024, the number of individual entrepreneurs in the country. The paper introduces the values ​​​​of the index of female entrepreneurial activity for 2015–2023 and the results of population surveys on the development of female entrepreneurship in Russia, conducted by the analytical center NAFI, the Committee for the Development of Female Entrepreneurship "OPORA RUSSIA", the All-Russian Center for the Study of Public Opinion. The author stated the reasons for the growth of women's interest in entrepreneurship and proposed a number of measures of state support for women entrepreneurs, as well as identifies the unique features of women that contribute to achieving success in entrepreneurship. The paper demonstrates the set of reasons that hinder the development of female entrepreneurship in Russia. Conclusion. Women are interested in organizing their own business, young women are interested in entrepreneurship, there is favorable environment in the country for the development of female entrepreneurship. The paper introduces the recommendations on measures to stimulate the interest of Russian women in entrepreneurship, the development of measures of state support for women's entrepreneurship.

The article examines the new role of living labor, which arises as an effect of the digital transformation of production. Describing this role by regulating processes is the initial stage of their digitization and subsequent digital transformation. The new role of living labor is associated with changes in the requirements for the workforce of personnel, with the dynamics of labor content, with increased internal mobility of personnel, with the adjustment of labor management systems. The regulation of work activities should reflect these changes in order to better adapt staff to the effects of digital transformation and to achieve maximum transformation results. The content of digital transformation is analyzed. Its result is a change in business processes and in the use of living labor. These changes are taking place through the use of end-to-end digital technologies based on digitized data describing the production process and, in particular, the labor process. The study was conducted using the methods of analyzing definitions of the digital economy, the results of practitioners, and their generalization. The author has stated the list of the primary tasks of regulating labor processes along with production processes, their formalization, prototyping and further digitization. The results obtained can be used for theoretical analysis and methodological development of programs and algorithms for digital transformation in manufacturing enterprises.

Aim. To verify the segmentation of all-Russian anxiety by means of sociological tools, identifying the main risk groups. The time frame of the study was set for 2021–2022, a period of high concentration of social, economic and political factors that negatively affect the components of social well-being. The empirical basis of the study was the results of a series of measurements of anxiety published in the public domain (data from the All-Russian Center for the Study of Public Opinion). The results of the analysis make it possible to identify the types of anxiety and their corresponding risk groups. The first type is consistently highly anxious: women, Russians of pre-retirement and retirement age, with secondary general education, low-income groups of the population, that is, the least protected cohorts. The second group is unstable, highly anxious (more sensitive to social triggers): Russians aged 35–44 years, groups with a low level of education, the unemployed, employees of the non-profit sector, residents of cities with a population of 100 to 500 thousand people. The third group is people with unstable anxiety. They have a wider range of adaptation practices, which allows them to “equalize” indicators of social well-being (young people 25–34 years old, Russians with higher education, state and municipal employees, unskilled workers, businessmen and businesswomen, students, middle-income segments of the population, residents of millionaires-plus cities and capitals). Results. According to the measurement results, fewer stable calm groups of the population can be identified than anxious ones. All this allows us to say that in 2021–2022 anxiety was typical for the majority of Russians, which indicates their vulnerability to macrosocial challenges.

Relevance. Scientometric analysis is widely developing today and is an effective tool for reconnaissance analysis in the area of ​​interest. The conducted analysis combines network analysis methods, namely, building a co-authorship network using the Gephi program, and text analytics in the Orange Data Mining program. The results of the study help to see: what aspects in the study of yoga practice have already been considered by the scientific community. Also, the results are useful for detecting "blank spots" in scientific knowledge for further research of yoga as a practice of social well-being. Aim. To conduct a scientometric analysis of publications of Russian authors on the topic "Yoga" from the international bibliographic database OpenAlex. Methods. Metadata of scientific publications of authors of Russian universities on yoga practices were used for network analysis. The international open bibliographic database OpenAlex served as a data source. The period of publication of articles was from January 25, 1999 to March 11, 2022. As a result, metadata on 125 articles were downloaded (at the time of downloading October 21, 2024). Gephi software was used to visualize and study the co-authorship network. Text analytics was used using Orange Data Mining software to identify the structure and content of the scientific field on the topic "Yoga". Results. At the first stage, an undirected graph of the co-authorship network was compiled for 125 articles on the topic "Yoga". The graph consists of 335 nodes (authors) and 1387 edges (co-authorship links). The second stage was text analytics. Articles without annotations and duplicates (repeated articles) were removed for analysis. The final dataset included metadata of 117 articles with the specified title and abstract. As a result, a co-authorship network was built and network clusters were designated; a classification of articles was compiled based on the Ward minimum variance method, and keywords were identified and analyzed for each class of articles. Conclusions. Scientometric analysis showed that Russian authors do not strive for an interdisciplinary study of yoga practice. This is evidenced by the comparability of the results of the co-authorship network analysis and text analytics of article abstracts. Conducting such scientometric analysis allows us to clearly demonstrate how modern data analytics tools can be used to solve problems in sociology.

Based on surveys of experts and representatives of young families with children, the author has identified the specific requirements for the residential environment. The paper introduces the concept of "friendliness of the residential environment" to describe the requirements of a residential environment conducive to fulfilling the functions of young families. The empirical research focuses on materials from expert interviews and interviews with representatives of young families. Expert interviews provided characteristics of residential environment friendliness. Interviews with representatives of young families living in objectively friendly and unfriendly environments revealed their perceptions of the friendliness or unfriendliness of their surroundings. The purpose of the empirical study was to compare expert assessments of friendliness with the characteristics of friendly and unfriendly residential environments as described by young families. The alignment of key friendliness characteristics allowed the conclusion that the concept is adequate. It was established that the friendliness of the residential environment is a comprehensive and systemic indicator of the residential environment (its physical and sociocultural dimensions), encompassing the properties (characteristics) of the environment and, simultaneously, its meaning for individuals. Within a systemic-activity approach, the author views the young family and the residential environment as a complex, open, and potentially self-developing system, with the young family itself as an active element. The residential environment is complex and includes both physical and social spaces. As a result of the research, the concept of residential environment friendliness for young families with children was refined. Friendliness is defined as a set of conditions that promote family activity, development, and the fulfillment of its basic functions. The introduction and specification of the concept of residential environment friendliness for young families with young children have practical implications for the design of residential environments and the organization of interactions among all their agents.

The study of political consciousness as a complex structure includes rational, emotional and unconscious aspects. Special attention is paid to the role of collective and individual unconscious in the formation of political attitudes, ideologies and behaviour. Philosophical and interdisciplinary approaches were used in the work. The analysis was based on the works of C.G. Jung, P. Bourdieu, as well as studies by Russian and foreign authors. The paper considers the concepts of archetypes, habitus, myth-making and their influence on political behaviour. It was established that the political unconscious, rooted in archetypes and myths, plays a key role in the formation of collective political behaviour. Authoritarian regimes use the mechanisms of the unconscious through propaganda and myth-making, reinforcing identity and loyalty. It is shown that socio-economic status affects the content of political consciousness: in the lower classes it is oriented towards stability and security, while in the middle and upper classes it is oriented towards freedom and self-realisation. Political consciousness is a multilayered system formed by the interaction of rational, emotional and unconscious aspects. Its study requires an interdisciplinary approach that allows a deeper understanding of the mechanisms of political beha-viour and choice. The results of the study confirm the significance of unconscious factors in the dynamics of political consciousness and their relation to socio-economic conditions.