Influence Of Social Factors Research Articles

ВЛИЯНИЕ КУЛЬТУРНЫХ ФАКТОРОВ НА СИСТЕМУ ХОЗЯЙСТВОВАНИЯ

The article examines the influence of cultural factors on the economic system in the modern world. The study draws attention to how the cultural characteristics of different peoples shape their approaches to economic activity, having a significant impact on such aspects as the organizational structure of enterprises, production methods, attitudes to labor and resources, as well as management practices. The authors analyze the differences in cultural approaches to business and economic activity in different countries, paying attention to the influence of historical, religious, ethnic and social factors on the formation of these approaches. Special attention is paid to cross-cultural differences in business management and decision-making, as well as to the influence of cultural stereotypes on the development of technology and innovation. The article emphasizes the importance of understanding cultural factors when developing business management and development strategies in a global context, as well as the need to adapt strategies to local cultural characteristics in order to achieve success in global markets.

Interaction between cognitive process and social dynamics in shaping individual analyzing of online reviews. Part I.

While internal factors like review and reviewer characteristics have been extensively studied, the influence of external, particularly social factors, on online review processing remains relatively unexplored. This research bridges this gap by investigating how social pressures: social conformity, social validation, affects how individuals analyze online reviews. By combining the Elaboration Likelihood Model (ELM) and the Social Influence Theory (SIT), we propose a comprehensive framework to examine two key dimensions: Online review processing and the influence of social factors on this process. We conduct a study among skincare product consumers, revealing that social conformity, significantly influence reliance on peripheral cues (ratings, source credibility), however social validation does not exhibit a significant effect. Furthermore, by introducing expertise as a moderator, we observe that the direct impact of social factors becomes attenuated. This suggests that individuals with strong subject knowledge are less susceptible to the persuasive power of social cues when evaluating online review.

Analyzing the geographic influence of financial inclusion on illicit drug use in Nigeria

Nigeria grapples with a formidable public health concern, as approximately 14 million individuals partake in illicit drug use (IDU). This predicament significantly impacts psychiatric disorders, suicides, disability, and mortality rates. Despite previous investigations into predictors and remedies, the role of financial inclusion (FI) remains inadequately explored. Leveraging existing literature on FI and population health, this study asserts that bolstering FI could be instrumental in mitigating IDU prevalence in Nigeria. We employ spatial analysis to scrutinize the influence of FI and other social factors on IDU, revealing a 14.4 % national prevalence with spatial variations ranging from 7 % in Jigawa state to 33 % in Lagos state. Significant IDU hotspots were identified in the southwest states, while cold spots were observed in the Federal Capital Territory and Nassarawa. Multivariate spatial analysis indicates that FI, income, unemployment, and the proportion of the young population are pivotal predictors of IDU nationwide, explaining approximately 67 % of the spatial variance. Given these findings, the study advocates heightened levels of FI and underscores the need for intensified government initiatives to prevent and address illicit drug use.

MODERN APPROACHES TO THE IMPLEMENTATION OF A MARKETING SYSTEM FOR ANTI-CRISIS MANAGEMENT OF AGRICULTURAL ENTERPRISES

The purpose of the article is to study the system methodology and situational approach to the study of the crisis state of an agricultural enterprise, to analyse the theory and practice of anti-crisis management, to improve the mechanism of adaptation of an agricultural enterprise to crisis phenomena, and to propose effective anti-crisis management tools. The methodological basis of the study was a synthesis of the results of applied research in economics, scientific works of domestic and foreign scientists, which highlighted the basic theories of competitive advantage, competitiveness and marketing management. Results. The results of the research together solve an important scientific and practical problem – the formation of a marketing system of anti-crisis management in the conditions of transformational economy. This system is strategic in nature and reflects the significant influence of social factors, risks and conditions of uncertainty. In the course of the study, a number of circumstances were identified that determine the negative and positive consequences of the crisis, as well as the conditions for overcoming it, without which it is difficult to objectively determine the probable losses and forecast possible options for the development of the enterprise. Practical results. To overcome the crisis, the company can take various measures, such as restructuring, financial reorganisation, strategic planning, changes in management structure, development of new products, marketing measures, etc. It is important to respond to the signs of the crisis in a timely manner and to manage the situation effectively in order to ensure the sustainable functioning of the company under difficult conditions. At the same time, the role of marketing activities in the anti-crisis management system is crucial. The task of marketing activities is to promote constant adaptation to changes in environmental factors and the company's operating conditions. Taking into account the modern development of the market economy, financial instability and the company's solvency, the effective organisation of a complex anti-crisis management system is of key importance. Value/Originality. Anti-crisis management is considered as a system of managerial actions and decisions in the conditions of transformation of the socio-economic system. These actions are aimed at diagnosis, prevention, elimination of crisis phenomena and neutralisation of their effects and consequences in the future.

Modeling heterogeneous and adaptive homeowners’ decision-making for green retrofit

Green retrofitting (GR) of existing residential buildings is widely acknowledged as a potential solution for addressing climate and energy challenges. However, the realization of GR potential depends on homeowners’ decision-making, as they play a pivotal role in initiating GR and are the primary users of retrofitted homes. Previous studies have explored homeowners’ GR decisions from various perspectives. The majority of these studies may have encountered limitations, such as the use of static analysis methods, homogeneity assumptions, and oversimplified decision processes. These limitations can potentially hinder a comprehensive understanding of homeowners’ GR adoption, indicating the need for further research. To address this research gap, this study develops a decision-making model for homeowners that incorporates multiple dimensions: heterogeneity (e.g., individual attributes and GR motivations), a multi-stage decision process (needs-utility-willingness-adoption), and dynamic adaptability (both at individual and overall networks). The proposed model is empirically validated through Python simulations based on a case study in China. The findings of this study reveal the critical roles of GR needs, perceived (actual) utility, and perceived behavioral control in homeowners’ adoption of GR. Moreover, this study highlights the significance of coordinating homeowners’ overall perceived utility with the specific sub-utility associated with their motivations. Furthermore, empirical evidence underscores the influence of social factors on GR adoption and emphasizes the existence of gaps across different stages of the decision-making process. Drawing from these research findings, policy implications are proposed for promoting housing GR. This research contributes to the advancement of decision models for building GR and provides valuable insights for policymakers to promote housing GR.

The abundance and pathogenicity of microbes in automobile air conditioning filters across the typical cities of China and Europe

Bioaerosols are widely distributed in urban air and can be transmitted across the atmosphere, biosphere, and anthroposphere, resulting in infectious diseases. Automobile air conditioning (AAC) filters can trap airborne microbes. In this study, AAC filters were used to investigate the abundance and pathogenicity of airborne microorganisms in typical Chinese and European cities. Culturable bacteria and fungi concentrations were determined using microbial culturing. High-throughput sequencing was employed to analyze microbial community structures. The levels of culturable bioaerosols in Chinese and European cities exhibited disparities (Analysis of Variance, P < 0.01). The most dominant pathogenic bacteria and fungi were similar in Chinese (Mycobacterium: 18.2–18.9 %; Cladosporium: 23.0–30.2 %) and European cities (Mycobacterium: 15.4–37.7 %; Cladosporium: 18.1–29.3 %). Bartonella, Bordetella, Alternaria, and Aspergillus were also widely identified. BugBase analysis showed that microbiomes in China exhibited higher abundances of mobile genetic elements (MGEs) and biofilm formation capacity than those in Europe, indicating higher health risks. Through co-occurrence network analysis, heavy metals such as zinc were found to correlate with microorganism abundance; most bacteria were inversely associated, while fungi exhibited greater tolerance, indicating that heavy metals affect the growth and reproduction of bioaerosol microorganisms. This study elucidates the influence of social and environmental factors on shaping microbial community structures, offering practical insights for preventing and controlling regional bioaerosol pollution.

Multilingual dynamics: exploring English as a third language in Russian-speaking families across Cyprus, Estonia, Germany, Israel, and Sweden

ABSTRACT Employing a qualitative approach for data collection and analysis, this research focuses on 50 multilingual families, with ten from each country. The study explores the role of English as a third language (L3) in both endogamous and exogamous multilingual families with immigrant and minority backgrounds across Cyprus, Estonia, Germany, Israel, and Sweden. Additionally, it examines the impact of English on family language practices, its effects on Russian as a heritage language, on the majority country language(s), and on (online) education, as well as on (digital) literacy skills. The findings, based on the thematic analysis of in-depth interviews with mothers, highlight the importance of English as an L3 in the context of the majority language and Russian as a heritage language. This emphasises parents’ recognition of English as crucial for their children’s future success and the significance of English education for academic achievement. The study underscores the evolving role of English in multilingual families, by putting emphasis on the need for continued exploration of language practices, proficiency development, and the broader impact on family language policies. We advocate for further investigation into the influence of social and technological factors to enhance understanding of language dynamics in diverse multicultural contexts.

Searching for Dairy Farm Resilience with the R4D Project: Innovation Needs to Be Sustainable

Farms face new challenges due to both climate change and the influence of economic, social, and institutional factors. The study examines the key aspects of the resilience of dairy farms that, if in place, can ensure their sustainable functioning. The purpose of the article is to diagnose and classify the main needs for strengthening the resilience of dairy farms. In implementing the research, an interdisciplinary approach developed within the framework of the Resilience for Dairy (R4D) project was used. The results of the research reveal differences in the classification of key needs to strengthen resilience by stakeholder groups. Farmers reported a need for solutions that increase their income and production flexibility. The other groups of respondents focused on reducing antibiotic use and improving resource efficiency and environmental protection. The analysis of key needs classifications among respondent groups, segmented by age, and the comparison of needs between respondents from Western European and Central and Eastern European countries showed minor differences, indicating a similarity in the perceived importance of needs. The study also identified needs perceived by respondents as essential to increasing dairy farm resilience. These primarily include the following: the work–life balance of farmers, effective communication with the community, and implementation of technical innovations related to dairy farming.

Where the not-so-wild things are in cities? The influence of social-ecological factors in urban trees at multiple scales

Green infrastructure plays an essential role in cities due to the ecosystem services it provides. However, these elements are shaped by social and ecological factors that influence their distribution and diversity, affecting ecological functions and human well-being. Here, we analyzed neighborhood tree distribution - trees in pocket parks, squares and along streets – in Lisbon (Portugal) and modelled tree abundance and taxonomic and functional diversity, at the parish and local scales, considering a comprehensive list of social and ecological factors. For the functional analyses, we included functional traits linked to dispersal, resilience to important perturbations in coastal Mediterranean cities, and ecosystem services delivery. Our results show not only that trees are unevenly distributed across the city, but that there is a strong influence of social factors on all biological indices considered. At the parish and local scales, abundance and diversity responded to different factors, with abundance being linked to both social and ecological variables. Although the influence of social factors on urban trees can be expected, by modelling their influence we can quantify how much humans modify urban landscapes at a structural and functional level. These associations can underlie potential biodiversity filters and should be analyzed over time to inform decisions that support long-term ecological resilience, maximize trait functional expression, and increase equity in ecosystem services delivery.

Research trends in science education from 2018 to 2022: a systematic content analysis of publications in selected journals

ABSTRACT This study uncovers research trends by analysing 1,142 papers published in Science Education, Journal of Research in Science Teaching, and International Journal of Science Education: Part A between 2018 and 2022, followed by a series of systematic reviews dating back to 1998. The main findings indicate that, during the period of 2018–2022, the three most studied research topics were associated with learner characteristics and classroom contexts (Learning-Context), teacher thinking/cognition and pedagogical issues (Teaching), and preservice education/in-service professional development (Teacher Education). An emerging interest in investigating the influence of cultural, social, and gender factors on science education (Culture, Social, and Gender) was observed. The analysis of the top 10 most-cited papers unveiled a notable focus on pertinent theoretical discussions and empirical research within the context of STEM/STEAM education. Besides, issues regarding engagement in and out of school settings, learners’ epistemologies, or sensemaking and science as practice were also highly cited. It is worth noting that there has been a rapid surge and new trend in research concerning science identity, garnering substantial attention by researchers as a meaningful lens for exploring relevant issues associated with participation and pipeline/career paths in STEM-related fields.

Research on The Spatial Heterogeneity of National Physical and Mental Health in China Based on Numerical Simulation

Studying the spatial interactions between socio-economic and natural (SEN) factors and physical health (PF) can help improve national physical and mental health and develop health policies. In order to deeply analyze the relationship between social and economic environment, sports activities, and national physical and mental health, and improve the level of national physical and mental health, this study used mathematical numerical analysis methods using MATLAB and ArcGIS software to determine the determining factors of PF differences in China. The reported National Fitness Composite Index (NFCI) in China was extracted from the National Physical and Mental Health Fitness Monitoring Bulletin in 2015. The SEN factors were gathered from the China Statistical Yearbook in 2015. The OLS model and GWR model were then utilized to investigate the SEN factors of the NFCI. We found that the NFCI of each province had a strong relationship with the natural environment. The NFCI of the eastern coastal regions was higher but also similar to that of the central and western regions. It was also found that the impact of the natural environment on national physical and mental health fitness was greater than that of social and economic factors. Temperature and hours of sunshine were major environmental factors. Annual hours of sunshine (ANNsun, hours), health care expenditure (HEAexpe, Chinese yuan), annual temperature (ANNtem, °C), road distance (ROAdis, kilometers) and annual rainfall (ANNrai, millimeters)are socioeconomic and natural (SEN) determinants of factors and physical fitness (PF). We should increase physical exercise, change our concepts of health, develop a healthy lifestyle and improve our physical fitness in accordance with the national fitness strategy. The regression coefficients obtained by the GWR model show significant differences, indicating that the degree of influence of social, economic, and natural factors on national physical fitness varies significantly with geographical regions..

Peran Orang Tua Dalam Motivasi Belajar Anak Di Rumah

The role of parents in supporting children's learning in the home environment has a substantial impact on children's academic, emotional, and social progress. Starting from the early stages of development, parents' involvement in supporting their children's learning process at home, along with the strategies they implement, plays a crucial role in achieving this goal efficiently. This research applies the literature study method to explore how parents inspire their children to study at home. The research results emphasize the urgency of the role of parents in triggering children's enthusiasm for learning in the home environment. They are not only providers of learning materials, but also as models and facilitators who influence their children's attitudes and enthusiasm for learning. These findings are in line with learning motivation theories which highlight the influence of social and environmental factors in shaping children's enthusiasm for learning internally and externally. Thus, this research emphasizes that parents have an important role in shaping children's learning attitudes and behavior at home. Therefore, it is important for parents to understand their role in stimulating children's enthusiasm for learning at home and to get support in improving the skills needed in this regard.purpose.

Occurrence, source modeling, influencing factors and exposure assessment of polycyclic aromatic hydrocarbons in water sources: A mega-study from mainland China

This study investigates the composition and distribution of 16 priority polycyclic aromatic hydrocarbons (PAHs) in 70 water samples collected from centralized drinking water sources (CDWSs) across 30 provinces (cities) in mainland China. Additionally, water quality and socio-economic data were collected to determine the influencing factors. The study discovered that the total concentrations of 16 priority PAHs (Σ16PAHs) varied from 0.17 to 176.71 ng/L (mean: 56.49 ± 38.58 ng/L). Lakes and reservoirs had significantly higher concentrations of PAHs than groundwater. The primary pollutants were low-molecular-weight (LMW) PAHs, such as phenanthrene, naphthalene, and fluorene. There was a strong correlation between LMW PAHs and Σ16PAHs (p < 0.05). The mean Σ16PAHs in the seven geo-environmental zones were ranked as follows, under the comprehensive influence of emission density, natural, and social environmental factors: Northwest China (78.42 ± 66.96 ng/L) > Northeast China (73.70 ± 33.23 ng/L) > East China (64.35 ± 45.66 ng/L) > North China (50.95 ± 31.87 ng/L) > Southwest China (44.05 ± 32.56 ng/L) > Central China (41.68 ± 19.44 ng/L) > Southern China (40.99 ± 16.54 ng/L). The source modeling analysis revealed that the majority of PAHs came from chemical production and metal smelting (42.36%), as well as from the combustion of coal, wood, and biomass (34.17%), and other mixed sources. In addition, the study found a strong correlation between water quality and socio-economic factors with concentrations of PAHs, indicating that these factors may contribute to the re-enrichment, transport, and transformation of PAHs in overlying water to varying degrees. The mean incremental lifetime cancer risk (ILCR) was lower than the risk threshold. These findings provide scientific references for managing hazardous substances in the aquatic environment.

The Influence of Cultural and Social Factors on Education in Pakistan

The Influence of Cultural and Social Factors on Education in Pakistan

Gauging Public Acceptance of Conditionally Automated Vehicles in the United States

Public acceptance of conditionally automated vehicles is a crucial step in the realization of smart cities. Prior research in Europe has shown that the factors of hedonic motivation, social influence, and performance expectancy, in decreasing order of importance, influence acceptance. Moreover, a generally positive acceptance of the technology was reported. However, there is a lack of information regarding the public acceptance of conditionally automated vehicles in the United States. In this study, we carried out a web-based experiment where participants were provided information regarding the technology and then completed a questionnaire on their perceptions. The collected data was analyzed using PLS-SEM to examine the factors that may lead to public acceptance of the technology in the United States. Our findings showed that social influence, performance expectancy, effort expectancy, hedonic motivation, and facilitating conditions determine conditionally automated vehicle acceptance. Additionally, certain factors were found to influence the perception of how useful the technology is, the effort required to use it, and the facilitating conditions for its use. By integrating the insights gained from this study, stakeholders can better facilitate the adoption of autonomous vehicle technology, contributing to safer, more efficient, and user-friendly transportation systems in the future that help realize the vision of the smart city.

The Usage and Constraints of Urban River Corridor from a Socio-ecological Perspective: a Systematic Review

River corridors, acknowledged as "blue-green infrastructure," have gained increasing attention due to their potential benefits on individual quality of life and social well-being in urban areas. However, there remains a lack of a comprehensive synthesis of evidence through a systematic literature review on the usage and associated constraints of urban river corridors. The paper aims to systematically review those attributes that influence the usage of urban river corridors and to analyse their complex interactions from a socio-ecological perspective. Results comprise an overview of the reviewed literature, including authorship, journal, geographical distribution, sample characteristics, data collection and analysis methods, and critical findings. Fifty-nine peer-reviewed papers published between 2012 and 2023 met the authors' inclusion criteria. The findings highlight the significant influence of individual, social, and physical factors on the usage of urban river corridors. Additionally, time reason also impact users' decisions regarding the usage of urban river corridors. Finally, a conceptual framework was proposed to guide urban planners, designers, and policymakers in enhancing urban river corridors' design and management standards, ultimately creating a sustainable, resilient, and inclusive leisure space catering to diverse needs.

The Influence of Internal Corporate Social Responsibility Factors on the Innovation Climate of Employees in the Healthcare Industry

This study examined the relationship between employee innovation and employee-initiated corporate social responsibility (CSR) elements in medical diagnostic enterprises in Pakistan during the COVID-19 pandemic. The research identified nine variables of employee-driven CSR, including communication, empowerment, and work satisfaction. Theoretical framework of the study based on theory of corporate social responsibility and expectancy theory of motivation. It evaluated their effects on the atmosphere for employee innovation using statistical analysis by using SPSS and after collecting data by using a survey questionnaire. The study population was employees working in the healthcare industry in Pakistan. The findings showed that employee-driven CSR and innovation were significantly correlated, with work satisfaction having the most impact. Overall, this quantitative study provides important insights for both theoretical understanding and practical application in fostering innovation through CSR initiatives. It emphasizes the critical role of job satisfaction as a key motivating factor for innovation within the framework of employee-driven CSR in the medical diagnostics sector.

ANALYSIS OF FACTORS THAT INFLUENCE CONSUMER DECISIONS IN PURCHASING PRODUCTS ONLINE AT SHOPEE (CASE STUDY OF FEB STUDENTS OF BANDAR LAMPUNG UNIVERSITY)

The e-commerce industry is now growing rapidly in Indonesia. This is reinforced by the number of e-commerce that now dominates the Indonesian market. The large number of e-commerce in Indonesia means that consumer shopping habits have changed in this digital era and globalization. The purpose of this study is to determine the influence of cultural factors and social factors on consumer decisions in purchasing products online at Shopee. The research method used is quantitative research that uses quantitative and statistical data analysis techniques, with the main aim of testing hypotheses that have been determined by using multiple Linear Regression Test, Determination Coefficient Test, T Test, and F Test. The population and sample are students of the Faculty of Economics and Business, Bandar Lampung University, totaling 100 people. Based on the results of the study, it shows that cultural factors and social factors have a positive and significant influence on product purchase decisions online at Shopee. This shows that cultural factors and social factors simultaneously influence purchasing decisions.

Social Determinants of Mental Health among Refugees in Germany - The Influence of Postmigratory Social Isolation and Resources on Psychopathology and Utilization Behavior

The mental health of refugees is influenced by a variety of pre-, peri- and postmigratory factors. It remains largely unclear how social determinants influence the utilization of psychiatric-psychotherapeutic treatment. We applied a questionnaire survey to 189 refugees from a clinical sample in a psychiatric hospital and from a control sample, which was not in treatment. The influence of social factors on psychopathology and utilization of care was analyzed by means of a CHAID algorithm. The total sample was highly stressed (54% PTSD and 41.4% depression symptoms). Patients were more severely affected in all psychometric scales as well as in traumatization and they were less able to draw on resources such as a social network or residence permit. The strongest predictor for psychotherapeutic-psychiatric treatment was social isolation in the living environment. For patients, the lack of a work permit was the strongest predictor of depression symptoms. The results point to the importance of postmigratory social determinants for the mental health of refugees. In particular, stable social relationships, together with formal factors such as work permit and residence title, should help to reduce mental distress and the need for psychiatric treatment.

Health Gadgets usage among Healthcare Personnel in the Perambalur Municipality area of Tamilnadu, India

Introduction: Health gadgets are worn 24/7 to capture biometric data. However, there is limited data on the use of wearable devices in India. Therefore, the present study aims to assess the attitudinal and behavioral predictors of use of health apps and to determine the association between the use of health-related apps and various sociodemographic factors.Materials and Methods: We carried out the cross-sectional study among 601 medical professionals using a semistructured questionnaire from November 2021–May 2022. The questionnaire contained six parts: demographic details; knowledge about health gadgets; types of health gadgets; and practice of health gadgets. We analyzed the collected data using SPSS version 21 software.Results: This survey included 340 health gadget users (56.6 percent). Nearly 226 (66.9%) healthcare personnel said the apps were easy and good, and 194 (57.4%) thought the time spent using them was appropriate. Nearly 38.7%of participants had never heard of health applications, and 10.3% have no health apps or gadgets.Conclusion: Using health gadgets or wearable devices was significantly high among healthcare personnel, and the level of satisfaction was also high among them. The influence of social factors like gender and education was also significant for the use of wearable devices.