The rapid expansion of China's sports sector, particularly in action sports such as surfing, has created new labor opportunities for informal migrant workers. However, their professional integration remains constrained by institutional barriers and market precarity. Focusing on surfing coaches in Wanning—dubbed “China's Surfing Capital”—this study investigates how informal sports laborers navigate industry gray zones by converting embodied cultural capital (e.g., surfing skills) into institutionalized capital (e.g., certifications). Drawing on semistructured interviews and Bourdieu's field-capital theory ( n = 20), the findings reveal a stratified formalization process: while surfing proficiency enables market entry, certification remains elusive due to skill-based disparities—low-skilled workers struggle with practical assessments, while high-skilled ones face theoretical exam barriers. Additionally, economic constraints (high certification costs) and social-structural obstacles (regulatory ambiguities, weak occupational networks) further entrench informality. Over time, coaches who successfully cultivate social capital transition into formal roles, whereas others exit due to unsustainable conditions. By exposing the uneven conversion of cultural capital into professional legitimacy, this study contributes to sports sociology by elucidating how informal sports labor navigates the interplay between institutional barriers and market opportunities, and demonstrates how credentialization processes reproduce stratification within emerging athletic professions.
Humanoid robots deployed in industrial environments are required to perform load-carrying transportation tasks that tightly couple locomotion and manipulation. However, achieving stable and robust locomotion under varying payloads and upper-body motions is challenging due to dynamic coupling and partial observability. This paper presents a load-aware locomotion framework for industrial humanoids based on a decoupled yet coordinated loco-manipulation architecture. Lower-body locomotion is controlled via a reinforcement learning policy producing residual joint actions on kinematically derived nominal configurations. A kinematics-based locomotion reference with a height-conditioned joint-space offset guides learning, while a history-based state estimator infers base linear velocity and height and encodes residual load- and manipulation-induced disturbances in a compact latent representation. The framework is trained entirely in simulation and deployed on a full-size humanoid robot without fine-tuning. Simulation and real-world experiments demonstrate faster training, accurate height tracking, and stable loco-manipulation. Project page: https://lequn-f.github.io/LALO/
I. Yablochnikova, V. Dzobelova, S. Yablochnikov
et al.
In modern conditions, the ability of society to develop available and synthesize new knowledge, as well as successfully apply it in practice in all areas of socio-economic and industrial activities, is of particular importance. Current knowledge is becoming not only a kind of driver for the formation of the scientific and technical potential of the state and ensuring the quality of life of the population, but also the wellbeing of society as a whole. It is higher education that plays a leading role in the realization of knowledge synthesis and the formation of a set of relevant relevant competencies among representatives of the new generation. These competencies of specialists with higher education will further determine the effectiveness of their professional activities and, consequently, the quality of processes in society. Fulfilling a special mission in the global community today is entrusted to IT specialists. The final results of the so-called digitalization of all spheres of activity depend on the level of their intellectual potential and ability to successfully perform labor functions. The achievement of relevant global goals (organizational, technological, economic, financial, social, political, etc.) is determined not only by the available conditions (favorable and unfavorable) for the implementation of a particular professional activity, but above all by the effectiveness of the management of such activities, including in the field of education.
The article conducts a comprehensive study of the transformation of the organizational and economic mechanisms for managing the competitiveness potential of Ukrainian agricultural enterprises under conditions of full-scale war and global turbulence. The scientific inquiry is based on the Resource-Based View (RBV) and its modern interpretation, the Practice-Based View (PBV). The author substantiates that, under conditions of extreme uncertainty, strategic advantage shifts from mere asset ownership to management’s ability to dynamically reconfigure resources. The study details the structure of the management mechanism, including organizational, economic, resource, and regulatory-legal blocks. Special attention is paid to sectoral features: the biological nature of assets, seasonality, and the social significance of agribusiness. Empirical analysis confirms a deep structural adaptation of the industry: a transition is recorded from low-profit grain cultivation (wheat loss — $101/ha) to high-margin oilseed crops, particularly soybeans, whose actual EBITDA in 2023 reached $378/ha. It has been proven that the launch of the second stage of land reform in 2024 was a key factor in the sector’s capitalization. As of May 2025, the weighted average price per hectare reached an all-time high of 52,100 UAH, allowing enterprises to use land as high-liquid collateral to attract investment. Concurrently, a critical deficit in human capital (over 30%) has been identified, necessitating forced digitalization and the implementation of AgriTech technologies to mitigate the labor shortage. Strategic priorities for strengthening competitiveness are defined: deep processing of raw materials, bioenergy autonomy, and adaptation to EU environmental standards (ESG criteria). The study concludes that the effectiveness of the organizational and economic mechanism today is determined by the synergy of state support (programs such as “Affordable Loans 5-7-9%” and “eRobota”) and the innovative activity of enterprises. The results of the research have practical significance for the formation of post-war recovery strategies for the agro-industrial complex based on added value and European integration. Keywords: competitiveness, agricultural enterprises, Resource-Based View (RBV), organizational and economic mechanism, land market, human capital, EBITDA, AgriTech, deep processing, European integration.), організаційно-економічний механізм, ринок землі, людський капітал, EBITDA, AgriTech, глибока переробка, євроінтеграція.
The article provides a comprehensive theoretical and methodological study of the genesis of scientific views on the economic development of the agricultural sector and analyzes the transformation of this category under the influence of modern challenges. The author systematizes the evolution of economic thought: from the Physiocratic view of land as the sole source of wealth and Ricardian pessimism about diminishing returns to soil to modern concepts of "Agriculture 4.0," inclusivity, and sustainable development. It is substantiated that, in the context of digital transformation and global climate change, the scientific paradigm is shifting from quantitative growth to qualitative development, with structural restructuring, social justice, and ecological balance as priorities. Special attention is paid to the resilience of Ukraine's agricultural sector under conditions of full-scale military aggression. Based on the processing of statistical data and reports from international institutions (KSE Agrocenter, World Bank), the study estimates direct industry losses at $10.3 billion and indirect economic losses exceeding $69 billion. It is argued that the war has become a catalyst for the forced adaptation of agribusiness, manifested in changes in the structure of sown areas in favor of oilseed crops and the intensification of the search for alternative logistical routes. The work actualizes the scientific heritage of O. Chayanov and M. Kondratiev, which enabled the explanation of the phenomenal resilience of small-scale farms through mechanisms of flexibility and labor self-exploitation. Strategic vectors for the post-war recovery of Ukraine based on the "Build Back Better" principle are identified, which involve a radical modernization of the agro-industrial complex: moving away from a raw material model in favor of deep processing, developing bioenergy potential (specifically biomethane production of up to 10.7 billion cubic meters per year), and implementing precision farming technologies. It is concluded that the effective development of the agricultural sector in modern conditions is a complex symbiosis of technological innovations and institutional reforms aimed at ensuring national security and integration into global value chains. Keywords: economic development, agricultural sector, evolution of economic thought, Agriculture 4.0, war damages, biomethane, inclusive development, structural transformation
Zh. Kusmoldayeva, Zh.Zh. Belgibayeva, O. Abraliyev
The research hypothesis is based on the assumption that ensuring productive employment of rural residents contributes to the sustainable development of rural areas and to solving problems of physical and economic accessibility of food for broad segments of the population. The purpose is to substantiate the prospects for effective labor activity in rural areas. Methods — the economic-statistical method for collecting and analyzing numerical data, identifying patterns, and forecasting economic processes. Results — trends of declining employment in the agrarian sector of rural settlements were identified; the necessity of improving the quality of life of rural residents through job creation and the introduction of innovative IT tools, expansion of social infrastructure, and alternative forms of employment was demonstrated. The empirical basis consisted of official data from the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan, characterizing the rural population size and the level of labor activity by region and sector. As a result, uneven distribution of the rural population across the regions of Kazakhstan was identified, and the share of workers employed in agriculture, forestry, and fisheries in the total labor resources of agrarian regions was calculated. Conclusions — the republic has opportunities to increase the attractiveness of the rural way of life, prevent migration outflows to cities, and retain qualified personnel with digital skills in rural districts. To this end, efforts of agrarians and scientists should be mobilized to develop recommendations for creating comfortable living conditions in rural areas, expanding agribusiness and non-traditional models of labor relations, increasing rural incomes, and providing personnel support to the agro-industrial complex. Scientific developments can be used to initiate measures to strengthen the labor potential of rural territories and enhance the efficiency of its utilization.
The relevance of the research proposed in the article is determined by the fact that a quarter of the Russian population lives in rural areas and amounts to thirty-six million people. Key issues of rural conservation and development in modern Russia are a vital task determining the future of Russian society. A comprehensive scientifically based optimization of strengthening the rural economy and the agro-industrial complex, creating new jobs, and increasing the availability of high-quality services in the fields of healthcare, education, and leisure is significant. Special attention is paid to the need to attract active leaders who can stimulate rural development, enhance the prestige of rural life, and improve the system of spiritual, moral, and civic education. The purpose of the article is to describe the specifics of the subjective and objective components of rural conservation and development in modern conditions in a regional context. It is concluded that an important factor in the development and improvement of the efficiency of rural human capital is the high standard of living of citizens, a stable situation on the regional labor market, developed social infrastructure, high-quality medical care, which together forms the motivation of the population to live in rural areas for the benefit of themselves and society. The results obtained in the process of sociological research made it possible to identify the key factors determining the prospects for rural development and formulate practical recommendations for improving public policy in this area.
The evolution of labour markets globally reflects a shift from agrarian-based economies to diversified industrial and service-oriented structures. In this context, labour market dynamics are deeply interwoven with broader socio-political and institutional frameworks. The current era of hyper-globalization further underscores the need to examine these markets not just through an economic lens, but also from sociological and political perspectives. Since gaining independence, India’s labour market has undergone considerable transformation. Despite lagging behind developed economies in setting global benchmarks for labour standards—such as wage parity, working conditions, employment contracts, collective bargaining rights, and inclusivity—the country has made consistent efforts to reform its labour regulations in line with evolving socio-economic needs. A landmark development in this direction was the introduction of the Four Labour Codes in 2020, which aim to consolidate and simplify 44 existing labour laws. The changing approach to labour in India reflects a broader attempt to balance economic flexibility with social protection. The current reforms strive to foster a more inclusive and dynamic labour market that supports both economic growth and worker welfare. This paper seeks to analyse the structural foundations of India’s labour market, examine the evolution of labour institutions post-independence, and evaluate the key challenges and developments that have shaped its current form. It intends to understand the new Labour Codes—their proposed structures, implementation frameworks, and limitations. Finally, the paper attempts to explore the future trajectory of India’s labour market in light of these transformative reforms, with a focus on building inclusive labour institutions that respond effectively to India’s diverse socio-economic realities.
The article studies theoretical and methodological approaches to determining the essence of the concept of "innovation", "innovation activity", "innovation potential" of Ukraine through the prism of the financial and agro-industrial sectors. The author's definition of innovation potential is provided and the use of innovation potential in the agro-industrial complex is characterized. Innovations in agriculture are characterized by categories: technological, organizational, environmental, informational, social. The legislative aspects of innovation activity, the role of artificial intelligence in the development of fintech, as well as the impact of modern technologies on the agricultural sector are analyzed. It has been established that a significant increase in the international presence of Ukrainian companies indicates the growing competitiveness of fintech products in the global market. Such dynamics reflect the market's orientation not only to internal recovery, but also to expansion into the external environment, which in the future may provide access to new customers and additional resources for innovation. The results of a survey of experts are reflected, which show that the most significant impact on the financial sector in the near future is expected from artificial intelligence. The main trends for the agricultural sector and the effectiveness of indicators of agribusiness enterprises that have introduced innovations have been identified. Examples of companies that actively develop and apply technological innovations in agriculture are given as a world leader in the production of agricultural machinery, which constantly introduces advanced technologies to improve the quality, reliability and safety of their equipment: digitalization, automation, remote control and artificial intelligence. Special attention is paid to assessing Ukraine's position in the Global Innovation Index, its dynamics and main barriers to development. It has been established that agricultural enterprises that actively introduce innovations demonstrate a significant improvement in financial and economic indicators, such as an increase in profitability, an increase in profitability, an increase in exports, and an increase in labor productivity. Quantitative and qualitative analysis of indicators indicating the growth of innovation potential despite difficult socio-economic conditions is presented.
The scientifi c and practical research presented by the author of this article is a continuation of a series of articles on sociological research conducted in the territory of Greater Donbass. The object of the sociological study is to assess the impact of long-term military actions on the socio-demographic situation, and the subject is the basic possibilities (prerequisites) for improving the socio-demographic situation of the region under study in the short-term post-war perspective. To restore the social and industrial infrastructure of the DPR destroyed as a result of military actions, the Republic lacks professional personnel in most basic professions. This is a direct consequence of the combined processes of martial law and demographic processes. Military actions had both direct and indirect effects on the socio-demographic situation in the DPR. The direct impact includes the death of military personnel and civilians in the Republic. In addition to direct losses, indirect losses should be highlighted, which are determined by high population migration. The socio-demographic state of the DPR, taking into account the consequences of military actions, is also infl uenced to a certain extent by other reasons and factors than in the Soviet Union after the Great Patriotic War. Significant consequences of the Great Patriotic War were the large number of casualties among military personnel and civilians, and in the DPR the departure of qualifi ed personnel from this territory is decisive. At the same time, forecasting the socio-demographic situation in the short-term post-war perspective in the territory of Greater Donbass using known mathematical methods is impossible due to the lack of a single, comparable and objective information base for the period under study (2013–2024), but the author’s use of a universal research method (SWOT analysis) turned out to be acceptable and effective. To improve the socio-demographic situation in the territory of Greater Donbass, it is necessary to create conditions for the postwar return of labor migrants to the territory of the DPR, as well as the restoration of their professional knowledge and skills. The most important condition for the post-war return of migrants is a significant improvement in the quality of life in the Republic.
Social video platforms shape how people access information, while recommendation systems can narrow exposure and increase the risk of toxic interaction. Previous research has often examined text or users in isolation, overlooking the structural context in which such toxic interactions occur. Without considering who interacts with whom and around what content, it is difficult to explain why negative expressions cluster within particular communities. To address this issue, this study focuses on the Chinese social video platform Bilibili, incorporating video-level information as the environment for user expression, modeling users and videos in an interaction matrix. After normalization and dimensionality reduction, we perform separate clustering on both sides of the video-user interaction matrix with K-means. Cluster assignments facilitate comparisons of user behavior, including message length, posting frequency, and source (barrage and comment), as well as textual features such as sentiment and toxicity, and video attributes defined by uploaders. Such a clustering approach integrates structural ties with content signals to identify stable groups of videos and users. We find clear stratification in interaction style (message length, comment ratio) across user clusters, while sentiment and toxicity differences are weak or inconsistent across video clusters. Across video clusters, viewing volume exhibits a clear hierarchy, with higher exposure groups concentrating more toxic expressions. For such a group, platforms should require timely intervention during periods of rapid growth. Across user clusters, comment ratio and message length form distinct hierarchies, and several clusters with longer and comment-oriented messages exhibit lower toxicity. For such groups, platforms should strengthen mechanisms that sustain rational dialogue and encourage engagement across topics.
Social media have been fundamental in the daily lives of millions of people, but they have raised concerns about content moderation policies, the management of personal data, and their commercial exploitation. The acquisition of Twitter (now X) by Elon Musk in 2022 generated concerns among Twitter users regarding changes in the platform's direction, prompting a migration campaign by some user groups to the federated network Mastodon. This study reviews the onboarding of users to this decentralised platform between 2016 and 2022 and analyses the migration of 19,000 users who identified themselves as supporters of the platform switch. The results show that the migration campaign was a reactive response to Elon Musk's acquisition of Twitter and was led by a group of highly active academics, scientists, and journalists. However, a complete transition was not realised, as users preferred to straddle their presence on both platforms. Mastodon's decentralisation made it difficult to exactly replicate Twitter's communities, resulting in a partial loss of these users' social capital and greater fragmentation of these user communities, which highlights the intrinsic differences between both platforms.
Santosh Chapagain, Cory J Cascalheira, Shah Muhammad Hamdi
et al.
Individuals from sexual and gender minority groups experience disproportionately high rates of poor health outcomes and mental disorders compared to their heterosexual and cisgender counterparts, largely as a consequence of minority stress as described by Meyer's (2003) model. This study presents the first comprehensive evaluation of transformer-based architectures for detecting minority stress in online discourse. We benchmark multiple transformer models including ELECTRA, BERT, RoBERTa, and BART against traditional machine learning baselines and graph-augmented variants. We further assess zero-shot and few-shot learning paradigms to assess their applicability on underrepresented datasets. Experiments are conducted on the two largest publicly available Reddit corpora for minority stress detection, comprising 12,645 and 5,789 posts, and are repeated over five random seeds to ensure robustness. Our results demonstrate that integrating graph structure consistently improves detection performance across transformer-only models and that supervised fine-tuning with relational context outperforms zero and few-shot approaches. Theoretical analysis reveals that modeling social connectivity and conversational context via graph augmentation sharpens the models' ability to identify key linguistic markers such as identity concealment, internalized stigma, and calls for support, suggesting that graph-enhanced transformers offer the most reliable foundation for digital health interventions and public health policy.
Abstract Digital platform labor and its complex relationship with capital have stirred scholarly inquiry, calling for a systemic review that bridges foundational theories and various currents of development. In this review, we revisit Marxist and autonomist Marxist theses on the changing nature of work in the platform economy. Following that, we review two major strands of studies on the organization of production at the macro level and labour control at the micro level, which have revealed variegated types of workplace fissuring and different techniques of algorithmic control over bodies. However, we argue that the path forward must transcend these boundaries. We call for a revival of the ‘social factory’ thesis to rekindle ‘networking’ as a way of understanding labor‐capital relations on digital platforms. Our premise is that capital and labor mutually constitute the platform economy through their agency of networking the internet and ‘outernet’. We outline four key directions for future research based on this premise: networking with public elements, networking with market‐driven elements, networking for financialization in the digital landscape, and networking for resistance. By reinvigorating the social factory approach, we aim to enrich scholarly understandings of labor‐capital relations in the platform economy by articulating digital labor in a wider web of sociocultural, technical, political and economic relationships extending beyond and transcending the internet.
The article analyzes the experience of research into the phenomenon of social well-being on the example of the self-employed population. Social well-being is a multidimensional phenomenon. This phenomenon includes several significant characteristics. Social well-being is one of the main indicators of assessing the state of society, various social groups and individuals. In particular, the value-emotional attitude of an individual to his or her social status, the possibility of satisfying his or her needs, interests, as well as a set of assessments that people give to themselves, their daily interactions with each other, with social institutions, communities and society as a whole. In the conditions of digitalization and transformation of the labor market, the process of legalization of the self-employed in the form of a tax on professional income creates great opportunities for the development of this institution. It also seems relevant to monitor the research of social well-being of the self-employed during this experiment, which will certainly affect its effectiveness and efficiency. The design of this study is an analysis of the social well-being of the self-employed in the Russian Federation. The purpose of this study was to identify the relationship between various characteristics of social well-being of the self-employed in Russia: subjective assessments of their social status, the level of satisfaction of their needs and assessments of life satisfaction, access to various benefits. The main method of empirical research was an online questionnaire survey (N=504). Self-employed citizens of the Russian Federation who pay NPD participated in the survey. The study revealed the following main correlations between subjective assessments of social well-being of the self-employed and assessments of satisfaction with life and access to various benefits. The level of material well-being of the majority is average, while access to forms of leisure and free time varies from watching TV, reading books and magazines to sports, handicrafts, attending movies and theater. Life strategies of the self-employed are related to further building up the potential of self-employment, increasing income, free schedule, planning their future activities. The emotional state of the self-employed is positive. Access to basic development resources is high. Self-identification is associated with free access to various sources of development: educational platforms, availability of means for familiarization with the values of science and art, as well as with involvement in the traditional values of Russian culture: love for the country (most people are not going to leave the country), state, family, society (friends, colleagues). The results of the study allow us to conclude that the study of social well-being is an important criterion and indicator of the self-employed population’s adaptation to the new conditions that have developed in recent years in the Russian labor market and are associated, above all, with the processes of digitalization of the Russian economy. The study of the phenomenon of social well-being of the self-employed in the conditions of digitalization and changes in the labor market also allows us to identify certain problems and trends in the development of the process of institutionalization of self-employment in Russian society.
This paper examines the socio-economic dimensions of population migration, emphasising its role as a vital social process within the broader societal framework. Employing a structural-functional approach, the study highlights how migration is shaped by and contributes to societal structures, norms, and cultural dynamics. Migration is influenced by socio-structural and cultural factors, reflecting the interconnectedness of institutions and societal conditions. For instance, urban industrial societies, characterised by institutional and structural compatibility, encourage rapid spatial mobility and long-distance migration. Conversely, traditional rural agrarian societies favour limited mobility and slower migration rates. Drawing on Durkheim’s theory of social evolution, the paper underscores migration’s transformative impact on society. It facilitates the transition from segmented, mechanically organised societies to complex, interdependent ones with advanced divisions of labour. This evolution signifies migration’s role as a driver of societal progress and adaptation. Secondary data analysis reveals that socio-cultural considerations, including family circumstances, are as influential as economic factors in migration decisions. The paper argues for government initiatives that promote social cohesion and regional integration to enable equitable migration opportunities. Such policies are essential for harnessing migration’s potential as a tool for societal advancement. By addressing the interplay of social, cultural, and economic factors, the study provides a nuanced understanding of migration as a dynamic and socially conditioned phenomenon. This research contributes to the discourse on population mobility by linking structural-functional theory with contemporary migration dynamics and policy implications.
In today's global economy, managing a company's production activities is a key factor in ensuring its competitiveness, sustainability and efficiency. Continuous transformations in the technological environment, unstable economic and political conditions, the energy crisis, rising resource costs and increased global competitive pressure require companies to review their traditional approaches to organizing production processes. Ukrainian businesses are in a particularly difficult situation due to the economic and social crisis that has emerged amidst military operations, infrastructure destruction, forced migration and increased dependence on external resources. The purpose of the study is to analyze modern approaches to managing the production activities of agro-industrial enterprises in crisis conditions. The analysis revealed that as a result, military leaders are forced to adapt production activities to new realities, introducing innovative management methods aimed at ensuring flexibility, efficiency and sustainability of production systems. It is emphasized that the current state of the economy requires not only cost optimization and increased labor productivity, but also the introduction of innovations, automation and digitalization of production processes. Effective production management is a complex process that includes planning, organization, control and coordination of all production operations. The success of an enterprise depends on its ability to quickly adapt to changes, respond to external challenges and achieve strategic goals. The appropriateness of using modern management tools and analysis methods that contribute to effective decision-making in a multifactor environment is analyzed. A set of approaches to analyzing production processes is proposed, which will allow optimizing resources, determining priorities, identifying weaknesses and forming effective development strategies. The use of strategic planning, alternative analysis and forecasting tools plays a key role in improving the quality of management decisions..
The emergence of new and disruptive technologies makes the economy and labor market more unstable. To overcome this kind of uncertainty and to make the labor market more comprehensible, we must employ labor market intelligence techniques, which are predominantly based on data analysis. Companies use job posting sites to advertise their job vacancies, known as online job vacancies (OJVs). LinkedIn is one of the most utilized websites for matching the supply and demand sides of the labor market; companies post their job vacancies on their job pages, and LinkedIn recommends these jobs to job seekers who are likely to be interested. However, with the vast number of online job vacancies, it becomes challenging to discern overarching trends in the labor market. In this paper, we propose a data mining-based approach for job classification in the modern online labor market. We employed structural topic modeling as our methodology and used the NASDAQ-100 indexed companies' online job vacancies on LinkedIn as the input data. We discover that among all 13 job categories, Marketing, Branding, and Sales; Software Engineering; Hardware Engineering; Industrial Engineering; and Project Management are the most frequently posted job classifications. This study aims to provide a clearer understanding of job market trends, enabling stakeholders to make informed decisions in a rapidly evolving employment landscape.
Methods. During the research, the author of the article used the following methods: structural and functional – when identifying the effect of interdependence of the industry as a group of enterprises and the economic activity of an individual enterprise that is part of it; grouping – when creating a classification of industrial enterprises of Ukraine; induction and deduction, generalization and systematization – when determining the main directions of ensuring energy efficiency at domestic enterprises and formulating recommendations regarding measures to increase the level of export orientation of industrial enterprises. Results. The article highlights the development trends of domestic industrial enterprises, the main of which is the influence of the transformation of the business environment on their activities. The main features of such a transformation are identified, namely: modernization and innovation, which become dominant factors aimed at increasing the productivity and competitiveness of enterprises; energy efficiency, export orientation and development of IT technologies; increasing the value of supply chain management and logistics to optimize production. It has been demonstrated that ensuring a balance between these directions of change will contribute to the creation of a sustainable and innovative industrial sector capable of responding to modern challenges and ensuring the sustainability of the development of the Ukrainian economy. Novelty. The author proved that industries influence the efficiency of the use of resources in the national economy (raw materials, energy and labor), which is caused by the desire of enterprises to be guided by the principles of rationality in order to maximize profit; on the social environment by providing support to local communities in the development of social and economic initiatives. The effect of interdependence was revealed, according to which the economic, technological, social and environmental aspects of the activities of enterprises within a certain industry create the conditions for the success of each individual firm that belongs to it. Practical value. Based on the analysis, it was determined that development in industry should be aimed at increasing efficiency, reducing costs, and increasing the flexibility of production systems. It also contributes to the implementation of the concepts of the industrial revolution (Industry 4.0) and the creation of modern, smart production environments.
Karolis Zilius, Tasos Spiliotopoulos, Aad van Moorsel
The rise in adoption of cryptoassets has brought many new and inexperienced investors in the cryptocurrency space. These investors can be disproportionally influenced by information they receive online, and particularly from social media. This paper presents a dataset of crypto-related bounty events and the users that participate in them. These events coordinate social media campaigns to create artificial "hype" around a crypto project in order to influence the price of its token. The dataset consists of information about 15.8K cross-media bounty events, 185K participants, 10M forum comments and 82M social media URLs collected from the Bounties(Altcoins) subforum of the BitcoinTalk online forum from May 2014 to December 2022. We describe the data collection and the data processing methods employed and we present a basic characterization of the dataset. Furthermore, we discuss potential research opportunities afforded by the dataset across many disciplines and we highlight potential novel insights into how the cryptocurrency industry operates and how it interacts with its audience.