In Bad Faith: Assessing Discussion Quality on Social Media
Celia Chen, Alex Leitch, William Jordan Conway
et al.
The quality of a user's social media experience is determined both by the content they see and by the quality of the conversation and interaction around it. In this paper, we look at replies to tweets from mainstream media outlets and official government agencies and assess if they are good faith, engaging honestly and constructively with the original post, or bad faith, attacking the author or derailing the conversation. We assess automated approaches that may help in making this determination and then show that within our dataset of replies to mainstream media outlets and government agencies, bad faith interactions constitute 68.3% of all replies we studied, suggesting potential concerns about the quality of discourse in these specific conversational contexts. This is particularly true from verified accounts, where 91.7% of replies were bad faith. Given that verified accounts are algorithmically amplified, we discuss the implications of our work for understanding the user experience on social media.
Human Life as a Dialectical Transformation: From Biological Instinct to Moral Freedom
Nguyen Anh Quoc
The article aims to clarify human life as a dialectical process of transformation among biological instincts, the material conditions of society, and individuals' creative capacity. The purpose of the study is to analyze how human freedom and morality emerge in relation to biological limits and social structures, thereby clarifying the philosophical underpinnings of human development in modern society. The research uses an interdisciplinary philosophical approach, combining qualitative philosophical analysis, dialectical methods, and the synthesis of knowledge from evolutionary biology, psychology, and sociology. Concepts such as instinct, freedom, property, and moral responsibility are analyzed in relation to social life to build a systematic theoretical framework for human formation. The results show that human freedom does not exist outside of biological and social conditions but is formed through the process of perceiving and transforming those limits. Biological instincts form the basis for life, while social relations and labor activities expand creativity, personality formation, and moral living. It concludes that the sustainable development of society should be understood as the process of expanding the conditions under which human beings can develop their creative capacities, moral responsibility, and ability to live together in a humanistic community.
An Empirical Study on the Socio-Economic Condition of Fishermen Communities of Ashulia, Dhaka, Bangladesh
Fahmida Hossain, Sayeda Akhter, Md. Ashif Hasan Razu
et al.
This is an empirical study that explores the socio-economic conditions of fishermen living along the Turag River which is a peri-urban area of Dhaka in Bangladesh. By using a mixed-methods approach, this study combines a household survey of 150 fisher households with in-depth interviews, focus group discussions, case studies, and key informant interviews conducted in the villages of Rostompur, Paragram, and Noapara. The analysis is guided by the Sustainable Livelihoods Framework (SLF), which enables a comprehensive understanding of how environmental, economic, and institutional factors interact to shape livelihood outcomes. The finding shows that it is a multidimensional crisis. The intensive and destructive environmental degradation caused by industrial pollution has significantly exhausted the stock of fish, which is the main natural capital of the community. Households are highly vulnerable socio-economically with low literacy (88.7% primary school education and less), precarious incomes (60% earn 600 BDT or less/day), poor housing, and limited access to formal credit, resulting in their having to rely on exploitative middlemen. Diversification of livelihoods into the daily labor and informal labor is more rampant but is a sign of coping and not of an upward mobility. There is a strong change in intergenerational shift where 85% of parents are not encouraging their children to become fishers, but again lack of funds and education is creating a barrier towards other dreams. This study adds a SLF-enlightened holistic perspective of how interconnected environmental, economic and institutional failures entrap and leave peri-urban fishing communities in a vicious cycle. It finds that this cycle cannot be broken without combined policy action targets on ecological recovery of Turag River, greater education and professional training, better access to credit, and greater government to rein in pollution and market abuse. This study highlights the necessity of the sustainable development approaches that would balance between economic development, social welfare and environmental health in rapidly urbanizing contexts.
Cultural Adaptation and Socioeconomic Change among the Santal Community: A Qualitative Case Study on Birganj Upazila, Dinajpur, Bangladesh
Md. Hasinur Rahman
This study examines processes of cultural adaptation and socioeconomic change among the Santal community of Birganj Upazila, Dinajpur, Bangladesh. Drawing on a qualitative case study based on six in-depth interviews and two focus group discussions. The research explores how Santals negotiate livelihood insecurity, educational change, religious transformation, and shifting family and gender relations within conditions of persistent structural marginalization. The findings show that livelihoods remain largely dependent on agriculture and daily wage labor with the number of increasing labor mobility and educational aspirations signal gradual social change. Religious conversion to Christianity has functioned as an important strategy of social adaptation, facilitating access to education and institutional support while reshaping collective identity. At the same time, traditional cultural practices- such as music, dance, festivals, and communal solidarity- continue to play a central role in everyday social life. From a sociological perspective, the study demonstrates that Santal adaptation occurs through selective continuity rather than assimilation, within a context of adverse incorporation, land insecurity, and limited state support. The paper contributes to sociological debates on ethnicity, rural inequality, and development in Bangladesh by foregrounding indigenous agency alongside enduring structural constraints.
Decent work in the digital age: A legal perspective on platform-based employment in Bangladesh
M. Taher, Salahaldin Jebarah, Iman Syamil Ahmad Rajuhan
et al.
The Fourth Industrial Revolution (IR 4.0), characterized by the integration of technology and human labor, is rapidly shaping the employment landscape in Bangladesh. A defining feature of this transformation is the expansion of the digital platform economy, which has accelerated in response to the COVID-19 pandemic and the increased need for remote and flexible work arrangements. Traditional employment structures are giving way to new forms of work, such as gig and part-time employment, offering workers greater flexibility and access to income-generating opportunities. However, these benefits are accompanied by significant challenges, particularly the ambiguous legal status of platform-based workers. Bangladesh's current labor laws do not adequately recognize or protect workers engaged in these non-traditional employment models, leaving them vulnerable and without legal recourse. This study investigates the responsiveness of Bangladesh’s labor legal framework to the demands of digitalization. Using a doctrinal research approach, it analyzes employment contracts, workplace conditions, and the broader implications of digital labor on workers’ rights. The findings indicate a pressing need for legislative reform. The study calls for a holistic and inclusive legal strategy that adapts to digital realities while ensuring decent work standards, social protection, and regulatory oversight for all forms of employment in the digital era.
Measuring Vogue in American Sociology (2011-2020)
Alex Xiaoqin Yan, Honglin Bao, Tom R. Leppard
et al.
This study investigates the social dynamics of knowledge production in American sociology. Departing from traditional approaches focused on citations, co-authorship, and faculty hiring, we introduce a method capturing the dynamics of networks inferred from text to explore which ideas gain traction (a.k.a vogue). Drawing on sociology doctoral dissertations and journal abstracts, we trace the movement of word pairs between peripheral and core semantic networks to uncover dominant themes and methodological trajectories. Our findings demonstrate that regional location and institutional prestige play critical roles in shaping the production and adoption of research trends across 114 sociology PhD-granting institutions in the United States. We show that applied research topics, such as crime and health, despite being perceived as less prestigious than theoretically oriented subjects, serve as the primary driving force behind the emergence and diffusion of trends within the discipline. This work sheds light on the institutional mechanisms that govern knowledge production, demonstrating that sociology's intellectual landscape is not dictated by simple top-down diffusion from elite institutions but is instead structured by the contextual and institutional factors that facilitate specialization and segmentation.
Agent-based modeling and the sociology of money: some suggestions for refining monetary theory using social simulation
Eduardo Coltre Ferraciolli, Tanya V. Araújo
The institution of money can be seen as a foundational social mechanism, enabling communities to quantify collectively regulate economic processes. Money can be said, indeed, to constitute the micro-macro link in economics. This paper reviews influential views on the nature of money in economics and sociology, contrasting them to the relatively limited findings of recent agent-based models of "the emergence of money". Noting ample room for novel combinations of sociological and formal methods to drive insight into the many roles played by money in the economy, we conclude by indicating research directions in which we believe this combination can provide new answers to old questions in monetary theory
Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms
Jinyu Cai, Yusei Ishimizu, Mingyue Zhang
et al.
Social media platforms frequently impose restrictive policies to moderate user content, prompting the emergence of creative evasion language strategies. This paper presents a multi-agent framework based on Large Language Models (LLMs) to simulate the iterative evolution of language strategies under regulatory constraints. In this framework, participant agents, as social media users, continuously evolve their language expression, while supervisory agents emulate platform-level regulation by assessing policy violations. To achieve a more faithful simulation, we employ a dual design of language strategies (constraint and expression) to differentiate conflicting goals and utilize an LLM-driven GA (Genetic Algorithm) for the selection, mutation, and crossover of language strategies. The framework is evaluated using two distinct scenarios: an abstract password game and a realistic simulated illegal pet trade scenario. Experimental results demonstrate that as the number of dialogue rounds increases, both the number of uninterrupted dialogue turns and the accuracy of information transmission improve significantly. Furthermore, a user study with 40 participants validates the real-world relevance of the generated dialogues and strategies. Moreover, ablation studies validate the importance of the GA, emphasizing its contribution to long-term adaptability and improved overall results.
Uncovering Social Network Activity Using Joint User and Topic Interaction
Gaspard Abel, Argyris Kalogeratos, Jean-Pierre Nadal
et al.
The emergence of online social platforms, such as social networks and social media, has drastically affected the way people apprehend the information flows to which they are exposed. In such platforms, various information cascades spreading among users is the main force creating complex dynamics of opinion formation, each user being characterized by their own behavior adoption mechanism. Moreover, the spread of multiple pieces of information or beliefs in a networked population is rarely uncorrelated. In this paper, we introduce the Mixture of Interacting Cascades (MIC), a model of marked multidimensional Hawkes processes with the capacity to model jointly non-trivial interaction between cascades and users. We emphasize on the interplay between information cascades and user activity, and use a mixture of temporal point processes to build a coupled user/cascade point process model. Experiments on synthetic and real data highlight the benefits of this approach and demonstrate that MIC achieves superior performance to existing methods in modeling the spread of information cascades. Finally, we demonstrate how MIC can provide, through its learned parameters, insightful bi-layered visualizations of real social network activity data.
Creative Potential of the Population is the Key Factor in the Transition to Noonomy
S. Bodrunov, A. Shabunova, L. Babich
et al.
The authors examine the state of creative potential of the population, which in modern conditions is becoming the main factor in the transition towards new economic realities. The aim of the study is to analyze the main theoretical and methodological approaches to defining the essence of creative potential, its developmental trends in the regions of the Russian Federation, and to identify factors influencing its reproduction. The methodological basis of the study is the concept of qualitative characteristics of the population by N. M. Rimashevskaya, modern scientific publications in this field, as well as the rovisions of the noonomy theory on the problems of the relationship between the knowledge intensity of social production and the creative component of labor in the process of the amorphosis of the politicaleconomic category of “labor” in the course of the modern nootransition of social development. The empirical basis of the study was provided by data from regional monitoring of the quality of labor potential, carried out in the Vologda region since 1997. It has been established that Russia has the potential to increase the creative activity of its population, which depends both on the emergence of objective demand from enterprises and organizations, in particular, high-performance jobs, and on the internal motivation and abilities of workers. In this process, state policy in the field of education is vital, which should be aimed at prioritizing the development of the creative potential of young people. In this paradigm, it seems beneficial to develop noonomy centers in different regions based on the methodology of the S. Y. Witte Institute for New Industrial Development (St. Petersburg), and on the theoretical and practical aspects of the theory of noonomy.
Involvement of Minor Students of Secondary Vocational Education for Work Outside of School Hours and During Vacations (from the Experience of a Metallurgical Enterprise)
I. Dolgopolova, T. Mikhailova
This article examines the pressing issue of personnel shortage in the industrial sector of the Russian Federation, in particular, at metallurgical enterprises. The authors analyze one of the effective tools for overcoming it — the practice of early employment of minor students of the secondary vocational education system (SVE) within the framework of extracurricular and vacation activities. Based on the empirical experience of Uralelectromed JSC (Verkhnyaya Pyshma), the mechanism for implementing the Early Employment project, aimed at attracting 16-17 year old students to work in auxiliary positions, is described in detail. Particular attention is paid to the legal aspects of employment of minors in accordance with the Labor Code of the Russian Federation, organizational conditions (special training schedule, shortened working hours) and the role of mentoring, including the involvement of highly qualified retirees of the enterprise. The methodological basis of the study was the analysis of statistical data, the results of sociological surveys of young people in the Urals and Siberia, as well as a questionnaire survey of the pilot project participants (n = 35). The article systematizes the advantages of the proposed model for three key stakeholders: for students (gaining practical experience, financial independence, developing professional competencies and adapting to the team), for the employer (formation of a personnel reserve, flexibility of labor resources, improving the corporate image) and for educational institutions of secondary vocational education (strengthening partnerships with production, increasing the competitiveness and practice-oriented nature of educational programs). In conclusion, the authors come to the conclusion about the mutually beneficial nature of such projects, while identifying potential risks associated with labor protection, psychological adaptation and academic performance of students. Emphasis is placed on the need for strict compliance with labor legislation and the creation of safe working conditions to minimize these risks and ensure the sustainability and replicability of the model.
YOUTH NEET, OR GENERATION OF THE UNWORKING
E. Eliseeva, A. Pribud'ko, M. Shargorodskaya
et al.
The article examines a pressing social problem — the growing number of young people not engaged in either education or labor activity. The authors analyze the reasons for the formation of this category of youth, paying special attention to the socio-economic conditions of modern Russia that affect youth. The main factors that provoked the spread of the NEET phenomenon are analyzed. The article also examines the problems that may be caused by this phenomenon both for the representatives of the NEET category themselves and from the standpoint of socio-economic trends in modern society. The results of a sociological survey aimed at identifying motivational barriers among representatives of the NEET category are presented. The authors pro-pose practical recommendations to stimulate youth activity, starting with the for-mation of a mentoring system and the introduction of flexible career paths, ending with the creation of a modern structure of additional education and effective mechanisms of social support.
KONDISI SOSIAL SEBAGAI DASAR TEORI SOSIOLOGI PENDIDIKAN
D. Puspita, Ngatmin Abbas
This study aims to identify how social conditions serve as a primary factor in the formation of early theories of educational sociology. The background of this research lies in the significant social changes during the Industrial Revolution and the development of capitalism, which created a need to understand the role of education within social structures. Early sociological thinkers, such as Émile Durkheim and Karl Marx, argued that education is not merely a process of knowledge transfer but also a tool for maintaining social stability or fostering change. They saw education as a means to shape values and norms aligned with the economic and political needs of society. This research uses a descriptive qualitative method with a literature review approach. The data collected are derived from classical sociological literature and various modern studies that examine social conditions influencing the development of educational sociology theories. Data analysis is conducted with a historical approach to link educational theories with the social contexts that underpin them. The findings indicate that social conditions, such as class differences, economic changes, and labor demands, influence the educational goals discussed in sociology. Education is viewed as a tool for regulating social structure through the inculcation of values that benefit the dominant class. This study reveals that early educational sociology thought was closely tied to the social context that shaped it and often functioned either to maintain social stability or to drive change according to societal needs.
SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks
Sai Puppala, Ismail Hossain, Md Jahangir Alam
et al.
Our study presents a multifaceted approach to enhancing user interaction and content relevance in social media platforms through a federated learning framework. We introduce personalized GPT and Context-based Social Media LLM models, utilizing federated learning for privacy and security. Four client entities receive a base GPT-2 model and locally collected social media data, with federated aggregation ensuring up-to-date model maintenance. Subsequent modules focus on categorizing user posts, computing user persona scores, and identifying relevant posts from friends' lists. A quantifying social engagement approach, coupled with matrix factorization techniques, facilitates personalized content suggestions in real-time. An adaptive feedback loop and readability score algorithm also enhance the quality and relevance of content presented to users. Our system offers a comprehensive solution to content filtering and recommendation, fostering a tailored and engaging social media experience while safeguarding user privacy.
SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media
Ismail Hossain, Sai Puppala, Md Jahangir Alam
et al.
User activities can influence their subsequent interactions with a post, generating interest in the user. Typically, users interact with posts from friends by commenting and using reaction emojis, reflecting their level of interest on social media such as Facebook, Twitter, and Reddit. Our objective is to analyze user history over time, including their posts and engagement on various topics. Additionally, we take into account the user's profile, seeking connections between their activities and social media platforms. By integrating user history, engagement, and persona, we aim to assess recommendation scores based on relevant item sharing by Hit Rate (HR) and the quality of the ranking system by Normalized Discounted Cumulative Gain (NDCG), where we achieve the highest for NeuMF 0.80 and 0.6 respectively. Our hybrid approach solves the cold-start problem when there is a new user, for new items cold-start problem will never occur, as we consider the post category values. To improve the performance of the model during cold-start we introduce collaborative filtering by looking for similar users and ranking the users based on the highest similarity scores.
ECONOMIC ESSENCE OF CONFLICT MANAGEMENT AND INNOVATIVE ASPECTS OF PSYCHOLOGICAL MANAGEMENT PLANNING AT INDUSTRIAL ENTERPRISES
Andriy Kosenko, M. Berdos, D. Ostapenko
The word conflict came to Ukrainian and other languages from Latin and means collision. Conflict is translated in the same way in different languages, from which we can conclude that there is a need for a general concept that covers the most different variants of clashes, disputes, and so on, as well as the fact that people everywhere live in different conditions and encounter a phenomenon called conflict. Memories of conflicts usually cause unpleasant associations: threats, hostility, misunderstanding, attempts, sometimes hopeless, to prove oneself right, insults. As a result, the opinion was formed that conflict is always a negative phenomenon, undesirable for each of us, and especially for leaders and managers, since they have to face conflicts more often than others. Conflicts are seen as something to be avoided whenever possible. Conflict is the norm of life. Conflicts interfere with business, undermine health, cause stress and so on. It is necessary to take care that conflicts bring as little harm as possible, and bring only benefit. Determining the essence of the conflict remains problematic. Currently, there are about 50 definitions of conflict that reflect certain essential features of the conflict and have the right to exist. It can be said that the detailed definition of the essence of the conflict is the theory that describes it. An organization becomes something more than the sum of its components. This new system becomes much more resistant to external actions, but is easily destroyed if this unity of elements is not maintained. The "organism" of the organization must be provided with a mechanism that would ensure the constant regeneration of lost goals, tasks and functions, would determine all new and new expectations of employees. In management science, there are quite sophisticated socio-psychological methods that can be used to achieve the desired effect. Socio-psychological methods of management mean specific techniques and methods of action on the process of formation and development of the team itself and individual employees. There are two methods: social (aimed at the team as a whole) and psychological (aimed at individuals within the team). These methods imply the introduction of various sociological and psychological procedures into management practice. The quality of the social and psychological climate in the team determines the leader's attitude to society as a whole, to his organization and to each person individually. If, in his understanding, a person is presented as a resource, raw material and production base, then such an approach will not give the proper result, in the management process there will be a skew and a lack or recalculation of resources to perform a specific task.
STRATEGIC SCENARIOS FOR SUSTAINABLE INDUSTRIAL DEVELOPMENT OF UKRAINE IN THE POST-WAR PERIOD
O. Kushnirenko, Nataliia Gakhovich, Liliia Venger
The purpose of the paper is to develop the most probable scenarios and to determine the strategic directions and effective tools for the Ukrainian industrial recovery, which will ensure the resistance of the economy in the conditions of military challenges. The method of strategic scenarios allows to find out how the industrial development in Ukraine will develop in the course of war and post-war recovery. Methodology. The methods of system analysis and logical modeling were used to describe the transition of the Ukrainian production from the current situation of military crisis to the target one; structural analysis was used to determine the system of indicators characterizing the resistance of the industry. For this purpose, national (State Statistics of Ukraine) and international (World Bank, Eurostat official website) databases characterizing the level and structure of industrial development in the last 5 years were used. The method of calculation takes into account the criteria of changes in indicators: direction (growth/decline occurred); rate of changes based on the cumulative annual growth rate for the period of 5 years. The study was carried out using analytical methods of the influence of trends in the formation of strategic scenarios in unpredictable situations (conditions of wartime uncertainty), to assess changes in the probability of occurrence due to the actual occurrence of one of them, which made it possible to identify trends, justify scenarios and take them into account when analyzing the prospects for industrial development to strengthen the defense capabilities and economic growth of Ukraine. The results of the survey showed that the strategic scenarios for the industrial development of Ukraine will be adjusted as necessary for the post-war industrial recovery in case of a long-term external military threat to preserve the state sovereignty. The achievement of the set strategic goals depends on the driving forces determining the industrial development in Ukraine. As the main indicators characterizing the tendencies of industrial development in Ukraine, the indicators reflecting the efficiency of the use of productive forces have been chosen: indicators of industrial production efficiency; labor productivity; indicators characterizing innovative development; performance indicators of foreign economic activity and investment development. Taking into account the influence of each of the driving forces of industrial development in the conditions of wartime uncertainty, three scenarios of industrial development were developed: a conditionally positive scenario, in which the economic system will gradually stabilize due to the cessation of hostilities and the recovery of production capacities; a conditionally negative scenario, which will be characterized by the disintegration of the economic system, the destruction of energy infrastructure facilities, where negative trends will dominate; a conditionally neutral (basic) scenario, in which the disintegration of the economic system will not reach extreme levels, and industrial production will develop in areas not covered by hostilities. Practical implications. The key problem of restoring economic stability in Ukraine is to create conditions for favorable development of industrial business, which depends on balanced strategic policy decisions. The transformation of industry into an effective force for the revival of the Ukrainian economy in the conditions of the war and post-war period requires a balanced strategic management of the future development, because it is crucial to meet the unprecedented demands of the war on the available resources of the country and to prevent a social, humanitarian, economic, financial, environmental, military crisis. At the same time, traditional methods of indicative planning cannot take into account all factors of wartime uncertainty, therefore, the rationale of future development vectors based on scenario planning makes it possible to create conditions for minimizing threats and realizing potential opportunities. Value/originality. Strategic scenarios provide for better economic recovery planning with long-term national priorities, development strategies of related industries and sectors for ensuring the Ukrainian manufacturing resistance.
Exclusion or Inclusion: National Differential Regulations of Migrant Workers’ Employment, Social Protection, and Migrations Policies on Im/Mobilities in East Asia-Examples of South Korea and Taiwan
Yoon-Kyung Kwak, Ming Sheng Wang
Low fertility rates and an aging society, growing long-term care needs, and workforce shortages in professional, industrial, and care sectors are emerging issues in South Korea and Taiwan. Both governments have pursued economic/industrial growth as productive welfare capitalism and enacted preferred selective migration policies to recruit white-collar migrant workers (MWs) as mobile elites, but they have also adopted regulations and limitations on blue-collar MWs through unfree labor relations, precarious employment, and temporary legal status to provide supplemental labor. In order to demonstrate how multiple policy regulations from a national level affect MWs’ precarity of labor in their receiving countries, which in turn affect MWs’ im/mobilities, this article presents the growing trends of transnational MWs, regardless of them being high- or low-skilled MWs, and it evaluates four dimensions of labor migration policies—MWs’ working and employment conditions, social protection, union rights and political participation, and access to permanent residency in both countries. We found that the rights and working conditions of low-skilled MWs in Korea and Taiwan are improving slowly, but still lag behind those of high-skilled MWs which also affects their public health and well-being. The significant difference identified here is that MWs in Taiwan can organize labor unions, which is strictly prohibited in Korea; pension protection also differs between the nations. Additionally, an application for permanent residency is easier for high-skilled migrant workers compared with low-skilled MWs and both the Korean and Taiwanese immigration policies differentiate the entry and resident status for low-skilled and professional MWs from dissimilar class backgrounds. Policy recommendations for both countries are also discussed.
Innovative Tools for Managing the Industrial Safety System
E. Zubkova
Relevance. Modern organizations strive to improve industrial safety, while increasing labor productivity and reducing costs. The article substantiates the possibility and determines the effectiveness of the introduction of automated devices for the issuance of personal protective equipment (PPE) as an innovative tool for managing the industrial safety system of an industrial enterprise. The modern century is the century of industrial safety provided by innovations and automated technologies. This is due to the relevance of the topic.The purpose of the study is to substantiate the possibility and determine the effectiveness of the introduction of automated devices for the issuance of personal protective equipment as an innovative tool for managing the industrial safety system.Objectives. To formulate the author's definition of the concept of "innovative process for ensuring industrial safety"; to highlight the features of the introduction of innovative tools for managing the industrial safety system; to consider the introduction of vending machines; to highlight the positive effects of various origins that will be obtained as a result of the introduction of innovative tools for managing the industrial safety system; to calculate the economic efficiency of the proposed measures.Methodology. In order to achieve the goal and solve scientific problems, the following methods were used: widespread methods of analyzing thematic literature, comparing and generalizing available information; the sociological method.Results. The features of innovative tools for managing the industrial safety system in modern conditions are determined. The calculation of the economic feasibility of the introduction of vending machines as innovative tools for managing the system of industrial safety.Conclusions. We have achieved the tasks set. The conclusion is substantiated that there is a future behind innovative tools for managing the industrial safety system.
Post-industrial capitalism and trade union decline in affluent democracies
Christopher Kollmeyer
This study examines trade union decline in light of concurrent changes in the demographic and sectoral composition of labor markets. Drawing on classical sociology and contemporary scholarship on work and employment, the author theorizes that the emergence of post-industrial work settings coupled with more socially diverse workforces make labor organizing more difficult than prior research recognizes. Operating through various mechanisms, these factors are thought to hinder the development of solidarity among workers and direct employment growth toward previously unorganized parts of the economy. Using panel data on 18 countries from 1960 to 2015, these ideas are tested with regression models that capture labor market changes indicative of post-industrial capitalism—measured by changes in deindustrialization, foreign-born population, and female share of employment. The results support the theoretical argument, with counterfactual estimates suggesting that labor market changes occurring between 1960 and 2015 reduced union density by 9 to 13 points for the whole sample.