Search Results (163)

This paper seeks to test the explanatory potential of different sociological perspectives in relation to the development of new sport models that reflect the growth of leisure sport participation in urban outdoor places and the decline in traditional practices in associations and clubs. In this regard, this study employs an analytical framework to examine global trends, with a particular focus on the specific context of the municipality of Zaragoza (Spain). With a multi-method approach, a 10-year-period dataset (2009–2019) incorporating sport participation surveys, observational data, and a focus group study is analysed. Three theories are tested: Maffesoli’s neo-tribes; neo-Bourdieuian ideas about urban subcultures; and Elias’s theory of civilizing processes. The results show a congruence between the three theories regarding identity negotiation, commodification, and community sense. However, disparities were found between the three theories, with one or more of them exhibiting an absence of class consciousness that supports subcultural interpretation and distinct notions of change versus continuity of the analyzed phenomena. This paper concludes that recent sports participation trends are best explained with reference to the quest of excitement and using healthism as a dominant ideology or social imperative. Full article

Generative artificial intelligence (GAI) is emerging as a disruptive force, both economically and socially, with its use spanning from the provision of goods and services to everyday activities such as healthcare and household management. This study analyzes the enabling and inhibiting factors of GAI use in Spain based on a large-scale survey conducted by the Spanish Center for Sociological Research on the use and perception of artificial intelligence. The proposed model is based on the Theory of Planned Behavior and is fitted using machine learning techniques, specifically decision trees, Random Forest extensions, and extreme gradient boosting. While decision trees allow for detailed visualization of how variables interact to explain usage, Random Forest provides an excellent model fit (R² close to 95%) and predictive performance. The use of Shapley Additive Explanations reveals that knowledge about artificial intelligence, followed by innovation orientation, is the main explanatory variable of GAI use. Among sociodemographic variables, Generation X and Z stood out as the most relevant. It is also noteworthy that the perceived privacy risk does not show a clear inhibitory influence on usage. Factors representing the positive consequences of GAI, such as performance expectancy and social utility, exert a stronger influence than the negative impact of hindering factors such as perceived privacy or social risks. Full article

The realities of the COVID-19 pandemic and the decision to control it through a worldwide vaccination programme brought to the forefront the debates about people’s attitudes towards vaccines and vaccination in general, and people’s attitude towards COVID-19 vaccines and vaccination, in particular. This study focuses on trust in hospitals, as a predictor of Romanians’ hesitancy towards vaccination. The study utilizes a longitudinal approach, examining data from two distinct periods: 2019, before the COVID-19 pandemic; and 2021, during the COVID-19 pandemic. Our findings show that the COVID-19 pandemic has altered public attitudes towards vaccination and may also have compromised the link, considered implicit before the pandemic, between the level of trust in the medical system and favorable attitudes towards vaccination. Full article

This study investigates the relationship between architectural attributes of workspaces and employee satisfaction, situating its inquiry within the broader context of post-pandemic hybrid work models and the evolving understanding of territoriality in organizational environments. Drawing on the social production of space and the multidimensional framework of Quality of Work Life (QWL), this research employs a quantitative, questionnaire-based methodology across three diverse corporate settings in Belgrade, Serbia. A total of 124 participants took part in the survey, representing the logistics (Fercam), IT (UBConnect), and healthcare (Medigroup) sectors. The survey integrates validated instruments—the Workspace Characteristics Scale (WCS) and the Workspace Satisfaction Scale (WSS)—to assess the impact of 12 variables and spatial features, reflecting functional, sensory, and sociological dimensions. Multiple regression analyses reveal that aesthetics, flexibility, and a sense of belonging consistently emerge as significant predictors of workspace satisfaction, with sector-specific variations observed across the cases. Notably, the findings underscore the importance of aligning spatial design with organizational values and user expectations while also highlighting the nuanced roles of sociological and psychological dimensions. The results offer practical relevance for architects and interior designers, providing insights into how design strategies tailored to user needs and sector-specific cultures can foster more effective workplace environments. This study concludes that evidence-based, multidimensional design strategies are essential for fostering well-being and productivity in contemporary work environments, demonstrating the value of aligning design with user expectations to enhance organizational outcomes. It recommends further research into the interplay between flexibility and belonging as determinants of workplace satisfaction. Full article

Ancient fairs in China were designated as commercial zones with fixed stalls that had emerged from commodity exchange demands and socio-cultural factors such as clan systems and gentry intervention, exhibiting dual commercial–communal characteristics. Several ancient fairs in Shenzhen have been retained, including Gongming Ancient Fair, which maintains its original spatial configuration adjacent to industrial zones and urban villages, attracting a high concentration of migrant workers. Survey results show that 85% of Gongming residents demand public space renovations, citing inadequacy of the spaces to support public activities. Given the intrinsic link between public spaces and public activities, fostering their positive interaction is crucial for enhancing urban vitality. However, existing studies predominantly focus on the physical environment and neglect activity-driven optimization perspectives. This study first employed social network analysis (SNA) to construct two networks of Gongming Ancient Fair, using the software Ucinet 6.755, including a public space network based on spatial connectivity and a public activity network based on pedestrian flow. Second, the networks’ structural characteristics were analyzed using seven metrics: node degree, density, betweenness centrality, betweenness centralization, clustering coefficient, average path length, and small-world property. Discrepancies between the networks were quantified through betweenness centrality comparisons, with field surveys and interviews identifying causal factors including seasonal product limitations, spatial constraints, inadequate supporting facilities, and substandard management. Based on the survey data and analytical results, the key renovation nodes were categorized into three types: high-control-capacity nodes, high-expectation nodes, and culturally distinctive nodes. Finally, three optimization strategies are proposed. This study integrates sociological perspectives into ancient fair revitalization, addressing gaps in activity-driven spatial research. Full article

E-polis is a serious digital game designed to gamify sociological surveys studying young people’s political opinions. In this platform game, players navigate a digital world, encountering quests posing sociological questions. Players’ answers shape the city-game world, altering building structures based on their choices. E-polis is a serious game, not a government simulation, aiming to understand players’ behaviors and opinions; thus, we do not train the players but rather understand them and help them visualize their choices in shaping a city’s future. Also, it is noticed that no correct or incorrect answers apply. Moreover, our game utilizes a novel middleware architecture for development, diverging from typical asset-prefab-scene and script segregation. This article presents the data layer of our game’s middleware, specifically focusing on data analysis based on respondents’ gameplay answers. E-polis represents an innovative approach to gamifying sociological research, providing a unique platform for gathering and analyzing data on political opinions among youth and contributing to the broader field of serious games. Full article

Over the past few years, the higher education system has undergone radical transformations. The aim of this paper is to analyze a retrospective reflection on the experience of forced digitalization in the pandemic and post-pandemic periods. One of the promising methods of assessing changes and their impacts is to conduct longitudinal sociological research. The methodology of this study consists of several modules: 1. a literature review; 2. the formation of a summary; 3. a sociological survey in the pandemic period; 4. a sociological survey in the post-pandemic period; 5. an analysis of the transformation of attitudes toward distance education; and 6. a comparison of the results obtained with a summary table of the literature review. Engineering students in different courses participated in the survey. A total of 652 respondents took part in the first stage and 194 in the second stage. The interval between the stages was two years. According to the results of the study, the conclusions were made that the positive answers of the respondents are most influenced by their expectations; so, they are much less dependent on the year of study and local peculiarities of the university, which are also confirmed by the new characteristic patterns noted in the paper. At the same time, the shortcomings are to a greater extent based on specific local peculiarities. The paper offers a generalized methodological approach for further study of this topic. Full article

China’s population is aging rapidly, with a large proportion of elderly individuals “aging in place”. In central areas of large cities, the amount of community and home-based elderly care services provided by the government and for-profit organizations are insufficient to meet the demands of these “aging in place” elderly. Taking the core area of Beijing as the spatial scope, this empirical study collects the demand on services of the main types of elderly residents in community and home-based dwelling through questionnaires (n = 242) and employs a mixed-methods approach for analysis. Descriptive statistics and exploratory factor analysis are used to determine the categories and levels of those demands, and machine learning methods (random forest regression model) are used to calculate the importance of various influencing factors (features of the elderly and subdistricts’ built environment) on them. It is shown that elderly residents have a higher demand for psychological and physical condition maintenance services (mean = 3.40), and a lower demand for reconciliation and rights defense services (mean = 3.08). The results also show that the built environment factors are very important for the elderly on choosing demands, especially mean distance of CECSs (community elderly care stations) to downtown landmarks and main roads in subdistricts, and characteristics of CECS. The elderly’s own features also have a relatively important impact, especially their living arrangements, caregivers, and occupations before retirement. This study applies machine learning techniques to sociological survey analysis, helping to understand the intensity of elderly people’s demand for various community and home-based elderly care services. It provides a reference for the allocation of such service resources. Full article

Traditional urban analysis and planning often neglect intangible emotional responses, leaving a gap in comprehending and addressing appropriately how urban spaces are experienced by individuals and communities. However, in contemporary urban research, emotional dimensions have increasingly been recognized as integral to understanding place and its identity, although the methods for systematically mapping these emotions and addressing both their qualitative and quantitative aspects remain under development. In order to address this research gap, this study presents an analysis of the emotional geography of Kaunas city (Lithuania) center using a mixed-method approach combining qualitative and quantitative methods to examine public narratives collected from social media posts and comments and open-ended responses from a sociological survey of local residents. A qualitative approach, grounded in the classification of emotions by Plutchik, was applied in order to categorize emotional expressions. Simultaneously, a quantitative sentiment analysis using the NLTK VADER tool was performed in order to assess the polarity of emotions and classify them into Positive, Negative, or Neutral within the collected narratives. The social media posts and comments were then georeferenced and mapped using Geographic Information Systems (GISs), while survey data were manually linked to specific locations. This allowed for the creation of emotion maps that highlight emotional hotspots and spatial sentiment trends within Kaunas city center. The results reveal how varying emotional responses are geographically connected to different areas, providing insights into both emotional responses to qualities of physical space and activities directly and indirectly linked to this space. Furthermore, the study demonstrates the potential of emotional mapping as a tool for urban planning, place-making, and sustainable development. Full article

The escalating frequency and complexity of natural disasters highlight the urgent need for deeper insights into how individuals and communities perceive and respond to risk information. Yet, conventional research methods—such as surveys, laboratory experiments, and field observations—often struggle with limited sample sizes, external validity concerns, and difficulties in controlling for confounding variables. These constraints hinder our ability to develop comprehensive models that capture the dynamic, context-sensitive nature of disaster decision-making. To address these challenges, we present a novel multi-stage simulation framework that integrates Large Language Model (LLM)-driven social–cognitive agents with well-established theoretical perspectives from psychology, sociology, and decision science. This framework enables the simulation of three critical phases—information perception, cognitive processing, and decision-making—providing a granular analysis of how demographic attributes, situational factors, and social influences interact to shape behavior under uncertain and evolving disaster conditions. A case study focusing on pre-disaster preventive measures demonstrates its effectiveness. By aligning agent demographics with real-world survey data across 5864 simulated scenarios, we reveal nuanced behavioral patterns closely mirroring human responses, underscoring the potential to overcome longstanding methodological limitations and offer improved ecological validity and flexibility to explore diverse disaster environments and policy interventions. While acknowledging the current constraints, such as the need for enhanced emotional modeling and multimodal inputs, our framework lays a foundation for more nuanced, empirically grounded analyses of risk perception and response patterns. By seamlessly blending theory, advanced LLM capabilities, and empirical alignment strategies, this research not only advances the state of computational social simulation but also provides valuable guidance for developing more context-sensitive and targeted disaster management strategies. Full article

Gender and willingness to pay for environmental protection (WTP) have long been pivotal topics in environmental sociology. However, studies investigating the impact of gender on WTP have reported divergent findings between China and Western countries. To address this discrepancy, we introduce gender equality awareness as a mediating concept to explore the effect of gender on WTP. Our hypothesis proposes that gender equality awareness influences individuals’ attitudes toward WTP. This study utilizes data from the 2021 Chinese General Social Survey (CGSS) and applies multiple linear regression models to analyze the relationships among gender, gender equality awareness, and WTP. Furthermore, gender equality awareness is incorporated into the model as a mediating variable. The findings reveal that (1) women in China demonstrate significantly higher WTP than men; (2) greater gender equality awareness is positively correlated with stronger WTP; and (3) gender equality awareness partially mediates the relationship between gender and WTP. Notably, men tend to exhibit higher levels of gender equality awareness, which attenuates the positive effect of gender on WTP, thereby narrowing women’s advantage in this domain. Full article

Lithuania has initiated the development of voluntary ecosystem protection measures within private forests, establishing protection agreements between the state and private forest owners. This article examines the priorities and motivations of private forest owners in the voluntary protection of ecosystems, based on the analysis of expert opinions. The Delphi sociological method was employed to assess expert opinions on the priorities and motivations of private forest owners regarding the voluntary protection of ecosystems. Twenty-nine experts responded to the survey, providing insights into the attitudes of Lithuanian private forest owners towards voluntary forest protection models and contract types, potential environmental protection instruments, the necessity of compensation for losses incurred due to forest management restrictions in protected areas, the proportion of protected forests, factors influencing the intention to engage in forest protection, motivations for voluntary forest protection, the “crowd-out” effect, sources of compensation for losses, the effectiveness of ecosystem protection mechanisms in Lithuanian forests, and the factors that diminish their effectiveness. Summarizing the experts’ findings, it can be concluded that the forest protection priorities of Lithuanian private forest owners, concerning the expansion of protected areas in private forests, protection models, and incentives for protection, are likely to align with the priorities and motivations identified in other European countries. A heterogeneity of priorities and motives was identified. Almost three-quarters of experts thought the current amount of protected forest in Lithuania is sufficient or is already more than necessary, and only about one in ten thought that is necessary for owners to protect more forest. Lithuanian private forest owners are mostly motivated by full financial compensation for losses. According to experts, the majority of private forest owners do not support forest protection models that lack financial compensation. It would be appropriate to implement both permanent and fixed-term protection agreements (contracts) with compensation, alongside the option of selling forests to the state. The level of compensation is identified as the most-significant factor influencing private forest owners’ willingness to engage in ecosystem protection. Experts highlight that the primary reasons for the ineffectiveness of private forest protection measures in Lithuania include inadequate and unjustified compensation, compensation amounts that are too low relative to forest owners’ income, insufficient information, and complex bureaucratic procedures. Full article

The increase in screen time observed in recent years has exposed adolescents to a heightened risk of involvement in cyberbullying, negatively affecting their relational and psychological well-being. This study analyses data from a 2022 representative survey of Italian adolescents employing an interdisciplinary approach. Through bivariate analyses and logistic regression models, it investigates the key sociodemographic characteristics of perpetrators, victims, and victim-perpetrators, alongside the sociological and psychological factors associated with these roles. The findings reveal that cyberbullying victimisation disproportionately affects girls and foreign adolescents, though it spans across various family backgrounds, age groups, and school types. Of particular concern are those who are both perpetrators and victims (14.2%), as they represent the most vulnerable group. These adolescents, who react to online and offline violence with further online aggression, suffer from poor-quality relationships, adherence to racist stereotypes, tolerance for violence, and scarce psychological well-being, in terms of low self-esteem, anxiety, and depression. The study underscores the urgent need for comprehensive prevention and intervention strategies, highlighting the crucial role of teachers and parents in in addressing and mitigating the impact of cyberbullying. Full article

The intensification of human activities and the escalating impact of climate change have increased the probability of disasters, making it important to develop sustainable development scenarios that consider potential disaster consequences. However, disasters are indirectly represented in the 17 Sustainable Development Goals (SDGs) and often overshadowed by other topics. This study focuses on disaster effects in the context of sustainable development. We conducted a sociological survey with 30 respondents from Lithuanian companies, half of which were large manufacturing enterprises, and found that only 37% had encountered sustainable development and disaster management issues, with a similar proportion actively developing related scenarios. Although external stakeholders often participate, 57% of the respondents indicated that their company acts independently on these matters. Large companies rated their disaster preparedness higher (3.5/5) than SMEs (2.9/5) or micro-companies (2.8/5). Rapid response and liquidation of disaster consequences was deemed more important (4.5/5) than risk management and resilience-building scenarios (3.8/5). Using correlation and mutual information analyses, we uncovered linear and non-linear dependencies, showing that psychological stress among employees negatively correlates with the importance assigned to SDGs during disasters. Additionally, we demonstrated how generative AI tools, such as ChatGPT, can transform survey results into tailored scenarios. These findings provide practical insights and methodologies for enhancing organizational resilience and sustainability, even with limited resources. Full article

As in the rest of Europe, the Belgian boar population has been tending to increase, posing new challenges to management by hunting. Moreover, in autumn 2018, the African Swine Fever (ASF) virus penetrated Belgian territory. In response to this so-called overpopulation and to this health crisis, wild boars were massively culled by hunters and other nature managers. The wild boar was then debated by some stakeholders as a sensitive animal and that its welfare mattered even if it must still be killed. In this article, we explore the management of wild boar through a qualitative sociological survey focusing on damage to the welfare of wild animals and ways of limiting it. This survey is part of an innovative process launched by the Walloon Region and the Walloon Council for Animal Welfare (CWBEA). It was conducted in order to qualitatively describe current hunting practices and their impact on animal welfare; it then integrated knowledge from the human sciences into the CWBEA’s work; and, finally, those from the hunting world were invited to debate with the usual animal welfare advocates and managers. By identifying, based on the knowledge of hunting stakeholders and wildlife specialists, a multitude of issues and avenues for action to limit the harm to the welfare of wild boars, this paper highlights the relevance of an interdisciplinary and transdisciplinary approach to the welfare issues of wild animals. It supports the hypothesis that animal welfare advocates can work toward establishing new norms in human/nonhuman relationships in collaboration with hunters but also to include wild animals—wild boars in this case—as sentient beings whose welfare must be considered and debated in discussions on global health. Full article