Pub Date : 2024-08-14DOI: 10.1177/21582440241266370
Sezer Kanbul, Idris Adamu, Yakubu Bala Mohammed
This article presents a research investigation focusing on the effects of ChatGPT utilization on sustainable education and development. The study employed five machine learning (XGBoost, RF, SVM, GBDT, and ANN) models for predicting the impacts of ChatGPT usage in education, aiming at identifying the potential benefits of ChatGPT usage on learners, tutors, and possible future implications using the data collected via social networking sites. A total of 2,936 datasets concerning the impacts of ChatGPT utilization on sustainable education were analyzed. Four of the research AI-predictive models predicted the impacts of ChatGPT usage on sustainable education and development with greater accuracy with [Formula: see text] values of >.96. However, the XGBoost and RF models outperformed the other models with [Formula: see text] values >.98. The results indicate that the XGBoost model achieved the highest accuracy with [Formula: see text] > .98, training time(s) 8.4157, and testing time 0.0618 respectively. Furthermore, findings of the study revealed that utilization of ChatGPT increases students’ interest in learning, self-confidence, and ability to study independently. Also, the results of the study will provide valuable insights for education stakeholders in understanding the potential benefits, and future implications of ChatGPT usage on sustainable education, and provide direction for upcoming studies.
{"title":"A Global Outlook on AI-Predicted Impacts of ChatGPT on Contemporary Education","authors":"Sezer Kanbul, Idris Adamu, Yakubu Bala Mohammed","doi":"10.1177/21582440241266370","DOIUrl":"https://doi.org/10.1177/21582440241266370","url":null,"abstract":"This article presents a research investigation focusing on the effects of ChatGPT utilization on sustainable education and development. The study employed five machine learning (XGBoost, RF, SVM, GBDT, and ANN) models for predicting the impacts of ChatGPT usage in education, aiming at identifying the potential benefits of ChatGPT usage on learners, tutors, and possible future implications using the data collected via social networking sites. A total of 2,936 datasets concerning the impacts of ChatGPT utilization on sustainable education were analyzed. Four of the research AI-predictive models predicted the impacts of ChatGPT usage on sustainable education and development with greater accuracy with [Formula: see text] values of >.96. However, the XGBoost and RF models outperformed the other models with [Formula: see text] values >.98. The results indicate that the XGBoost model achieved the highest accuracy with [Formula: see text] > .98, training time(s) 8.4157, and testing time 0.0618 respectively. Furthermore, findings of the study revealed that utilization of ChatGPT increases students’ interest in learning, self-confidence, and ability to study independently. Also, the results of the study will provide valuable insights for education stakeholders in understanding the potential benefits, and future implications of ChatGPT usage on sustainable education, and provide direction for upcoming studies.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"29 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-14DOI: 10.1177/21582440241271106
Ifeanyi Adigwe
This study investigates the gender perspectives of adolescents’ online risk-taking and parental mediation in Nigerian families. Because the “the-one size fits all” relating to effective mediation of adolescents’ digital media may not apply to adolescent boys and girls in the same way. Accounting for gender differences in digital media use that lead to risky behavioral outcomes will enhance parents’ efforts in interceding their online media activities. The population for this study includes parents and students in public secondary schools in Lagos, Nigeria. The sample size for this study was 1,050 parents and their children. The questionnaire was the data collection instrument to obtain information about adolescent online media activities and parental mediation practices. The study’s findings show that girls engage in chatting with strangers and social networking more than boys, and boys engage in online gambling, online gaming and pornographic content more than girls. The findings also show that the risky online behavior of adolescent girls correlates with increased time spent on online media activities. Interventions targeted at female adolescents relating to digital media use, online media activities and risky online behavior will enhance parental efforts in interceding in their risky behaviors.
{"title":"Adolescents’ Online Risks and Parental Mediation in Nigerian Families: Gender in Focus","authors":"Ifeanyi Adigwe","doi":"10.1177/21582440241271106","DOIUrl":"https://doi.org/10.1177/21582440241271106","url":null,"abstract":"This study investigates the gender perspectives of adolescents’ online risk-taking and parental mediation in Nigerian families. Because the “the-one size fits all” relating to effective mediation of adolescents’ digital media may not apply to adolescent boys and girls in the same way. Accounting for gender differences in digital media use that lead to risky behavioral outcomes will enhance parents’ efforts in interceding their online media activities. The population for this study includes parents and students in public secondary schools in Lagos, Nigeria. The sample size for this study was 1,050 parents and their children. The questionnaire was the data collection instrument to obtain information about adolescent online media activities and parental mediation practices. The study’s findings show that girls engage in chatting with strangers and social networking more than boys, and boys engage in online gambling, online gaming and pornographic content more than girls. The findings also show that the risky online behavior of adolescent girls correlates with increased time spent on online media activities. Interventions targeted at female adolescents relating to digital media use, online media activities and risky online behavior will enhance parental efforts in interceding in their risky behaviors.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"42 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of the current study was to investigate the relationship between principal distributed leadership and teacher job satisfaction, with the mediating role of collective teacher efficacy. It also investigated the moderating role of teacher commitment in the link between collective teacher efficacy and teacher job satisfaction. Drawing data from a sample of 338 Turkish language teachers in secondary schools in Turkey, the current study employed a cross-sectional survey design. Moderated mediation structural equation modeling was utilized to analyze the data. Results provided a moderate direct association between distributed leadership and teacher job satisfaction and an indirect relationship mediated by collective teacher efficacy. Researchers also found the moderating role of teacher commitment in the relationship between collective teacher efficacy and teacher job satisfaction to be positive and significant. Results provide evidence from a non-Western developing context and Turkish language teachers, contributing to the global knowledge base by confirming the positive and direct link between distributed leadership and teacher job satisfaction while highlighting the significant mediating role of collective teacher efficacy between these two constructs and the moderating role of teacher commitment in reflecting this role in teacher job satisfaction. Implications for policymakers and practitioners are discussed.
{"title":"The Roles of Collective Teacher Efficacy and Commitment in the Relationship Between Turkish Language Teachers’ Job Satisfaction and School Principal Distributed Leadership","authors":"Kürşat Kaya, Onur Erdoğan, Yılmaz Yeşil, Ferudun Sezgin","doi":"10.1177/21582440241271136","DOIUrl":"https://doi.org/10.1177/21582440241271136","url":null,"abstract":"The purpose of the current study was to investigate the relationship between principal distributed leadership and teacher job satisfaction, with the mediating role of collective teacher efficacy. It also investigated the moderating role of teacher commitment in the link between collective teacher efficacy and teacher job satisfaction. Drawing data from a sample of 338 Turkish language teachers in secondary schools in Turkey, the current study employed a cross-sectional survey design. Moderated mediation structural equation modeling was utilized to analyze the data. Results provided a moderate direct association between distributed leadership and teacher job satisfaction and an indirect relationship mediated by collective teacher efficacy. Researchers also found the moderating role of teacher commitment in the relationship between collective teacher efficacy and teacher job satisfaction to be positive and significant. Results provide evidence from a non-Western developing context and Turkish language teachers, contributing to the global knowledge base by confirming the positive and direct link between distributed leadership and teacher job satisfaction while highlighting the significant mediating role of collective teacher efficacy between these two constructs and the moderating role of teacher commitment in reflecting this role in teacher job satisfaction. Implications for policymakers and practitioners are discussed.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"78 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-13DOI: 10.1177/21582440241271278
Wenli Jiang, Yuping Xie
Scholars have paid great attention to unethical pro-organizational behavior (UPB), however, there is a lack of a comprehensive review to uncover the consequences of UPB. It is important to fulfill the need for a quantitative review of the outcomes associated with UPB. Therefore, we construct a holistic framework to explore the difference between actors and observers in responding to unethical pro-organizational behavior and test it using meta-analysis technology (k = 53, n = 18,710). The meta-analytic results show that actors’ UPB is positively related to actors’ counterproductive work behaviors (CWBs), actors’ organizational citizenship behaviors (OCBs), and observers’ UPB. Actors’ UPB increases actors’ CWBs via actors’ psychological entitlement, and it increases actors’ OCBs via actors’ guilt. In addition, actors’ UPB also increases observers’ UPB via observers’ moral disengagement. Actors’ organizational tenure positively moderates the relationship between actors’ UPB and actors’ CWBs. Our findings draw attention to the outcomes of UPB and have reference significance for future research on UPB.
{"title":"How Unethical Pro-organizational Behavior Links to Actors’ and Observers’ Behaviors: A Meta-Analysis","authors":"Wenli Jiang, Yuping Xie","doi":"10.1177/21582440241271278","DOIUrl":"https://doi.org/10.1177/21582440241271278","url":null,"abstract":"Scholars have paid great attention to unethical pro-organizational behavior (UPB), however, there is a lack of a comprehensive review to uncover the consequences of UPB. It is important to fulfill the need for a quantitative review of the outcomes associated with UPB. Therefore, we construct a holistic framework to explore the difference between actors and observers in responding to unethical pro-organizational behavior and test it using meta-analysis technology (k = 53, n = 18,710). The meta-analytic results show that actors’ UPB is positively related to actors’ counterproductive work behaviors (CWBs), actors’ organizational citizenship behaviors (OCBs), and observers’ UPB. Actors’ UPB increases actors’ CWBs via actors’ psychological entitlement, and it increases actors’ OCBs via actors’ guilt. In addition, actors’ UPB also increases observers’ UPB via observers’ moral disengagement. Actors’ organizational tenure positively moderates the relationship between actors’ UPB and actors’ CWBs. Our findings draw attention to the outcomes of UPB and have reference significance for future research on UPB.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"116 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-13DOI: 10.1177/21582440241271292
Julia Woodhall-Melnik, Allyson Lamont, Emily Nombro, James R. Dunn, Daniel D. J. Dutton
Housing is a pervasive determinant of physical and mental health. Studies indicate the importance of social support to the mental and physical health of individuals who are unhoused; however, to date, little is known about this relationship in persons who are housed in unaffordable accommodations. As the demand for subsidized housing continues to increase far beyond sustainable levels in many countries, investigations of the implications of social support on the health and wellbeing of those waiting for access to subsidized accommodations becomes important to generate evidence-based policy responses. Using data from the NB Housing Study, this paper presents an analysis of the relationships between perceived social support, depression, and self-reported physical health in individuals who wait for access to subsidized housing in New Brunswick, Canada ( n = 271). Hierarchical linear regression of Oslo Social Support Scale (OSSS-3) scores on Centre for Epidemiologic Studies Depression Scale 10 (CES-D-10) scores and of OSSS-3 scores on self-reported physical health scores finds increases in social support are associated with decreased depression ( F [1, 260] = 26.34, p < .001, R2 = .32) and greater physical health ( F [1, 260] = 7.62, p = .006, R2 = .15). The findings indicate a need to focus on health interventions that improve mental and physical health alongside social support. Implications for programming, policy, and future research are discussed.
{"title":"Social Support, Depression and Self-Reported Physical Health in Persons Waiting for Access to Subsidized Housing","authors":"Julia Woodhall-Melnik, Allyson Lamont, Emily Nombro, James R. Dunn, Daniel D. J. Dutton","doi":"10.1177/21582440241271292","DOIUrl":"https://doi.org/10.1177/21582440241271292","url":null,"abstract":"Housing is a pervasive determinant of physical and mental health. Studies indicate the importance of social support to the mental and physical health of individuals who are unhoused; however, to date, little is known about this relationship in persons who are housed in unaffordable accommodations. As the demand for subsidized housing continues to increase far beyond sustainable levels in many countries, investigations of the implications of social support on the health and wellbeing of those waiting for access to subsidized accommodations becomes important to generate evidence-based policy responses. Using data from the NB Housing Study, this paper presents an analysis of the relationships between perceived social support, depression, and self-reported physical health in individuals who wait for access to subsidized housing in New Brunswick, Canada ( n = 271). Hierarchical linear regression of Oslo Social Support Scale (OSSS-3) scores on Centre for Epidemiologic Studies Depression Scale 10 (CES-D-10) scores and of OSSS-3 scores on self-reported physical health scores finds increases in social support are associated with decreased depression ( F [1, 260] = 26.34, p < .001, R<jats:sup>2</jats:sup> = .32) and greater physical health ( F [1, 260] = 7.62, p = .006, R<jats:sup>2</jats:sup> = .15). The findings indicate a need to focus on health interventions that improve mental and physical health alongside social support. Implications for programming, policy, and future research are discussed.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"14 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-13DOI: 10.1177/21582440241267143
Jeremy Jacobs, Li Wei, Susan Slatyer
This article aims to critically analyse current literature that explores nurses’ perspectives concerning the use of chemical restraints amongst people with dementia—regarding behavioral and psychological symptoms of dementia (BPSD)—to consolidate existing knowledge on this phenomenon and generate a foundation for further research. This literature review followed the 12-step approach by Kable et al. A total of 17 articles published between 2012 and 2022 were included following critical appraisal. A total of 2,806 participants, primarily consisting of nurses of various levels (44%) were included amongst the 17 included articles. Five themes emerged from the analysis of the findings: (a) nurses’ perceptions of BPSD, (b) perceived effectiveness and safety of chemical restraints, (c) influence of the practice environment, (d) perceptions of non-pharmacological approaches (NPA)s, and (e) barriers to using NPAs. Explicit and implicit pressures to prescribe and utilize chemical restraints exerted by nurses and families promote the use of chemical restraints, amplified by barriers to using alternative approaches. A tentative conceptual model was proposed to explain these emergent concepts and relationships between the themes.
{"title":"A Structured Literature Review of Nurses’ Perceptions Concerning the Use of Chemical Restraints Amongst People with Dementia and the Perceived Barriers to Non-Pharmacological Approaches","authors":"Jeremy Jacobs, Li Wei, Susan Slatyer","doi":"10.1177/21582440241267143","DOIUrl":"https://doi.org/10.1177/21582440241267143","url":null,"abstract":"This article aims to critically analyse current literature that explores nurses’ perspectives concerning the use of chemical restraints amongst people with dementia—regarding behavioral and psychological symptoms of dementia (BPSD)—to consolidate existing knowledge on this phenomenon and generate a foundation for further research. This literature review followed the 12-step approach by Kable et al. A total of 17 articles published between 2012 and 2022 were included following critical appraisal. A total of 2,806 participants, primarily consisting of nurses of various levels (44%) were included amongst the 17 included articles. Five themes emerged from the analysis of the findings: (a) nurses’ perceptions of BPSD, (b) perceived effectiveness and safety of chemical restraints, (c) influence of the practice environment, (d) perceptions of non-pharmacological approaches (NPA)s, and (e) barriers to using NPAs. Explicit and implicit pressures to prescribe and utilize chemical restraints exerted by nurses and families promote the use of chemical restraints, amplified by barriers to using alternative approaches. A tentative conceptual model was proposed to explain these emergent concepts and relationships between the themes.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"54 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-12DOI: 10.1177/21582440241267368
Wajid Khan, Ikram Ullah, Sun Shaorong
Since the institutionalization of microcredit as the flagship poverty alleviation program, its potential has been under constant scrutiny by practitioners and researchers. This article extends previous work by analyzing two issues: (a) whether microcredit has the potential to alleviate poverty and (b) whether the conclusion drawn from the first issue is sensitive to interest rate variations. We first theoretically show that there is reason to believe that microcredit has the potential to change the fortunes of poor communities. However, the direction of the change in fortunes is uncertain and depends on how costly microfinance institutions’ financial services are perceived by the poor. We then test these theoretical assertions against data collected from 568 individuals from Northern Pakistan. By comparing various sub-groups using Ordinary Least Square and Binary Logistic regression analysis, our results reveal that higher interest rates more than offset the positive effects of microcredit on clients’ income. We also discuss policy implications of the findings.JEL Classification: I30, G21, C61, E64.
{"title":"The Income Augmenting and Budget Tightening Impacts of Microfinance: Theory and Evidence from Pakistan","authors":"Wajid Khan, Ikram Ullah, Sun Shaorong","doi":"10.1177/21582440241267368","DOIUrl":"https://doi.org/10.1177/21582440241267368","url":null,"abstract":"Since the institutionalization of microcredit as the flagship poverty alleviation program, its potential has been under constant scrutiny by practitioners and researchers. This article extends previous work by analyzing two issues: (a) whether microcredit has the potential to alleviate poverty and (b) whether the conclusion drawn from the first issue is sensitive to interest rate variations. We first theoretically show that there is reason to believe that microcredit has the potential to change the fortunes of poor communities. However, the direction of the change in fortunes is uncertain and depends on how costly microfinance institutions’ financial services are perceived by the poor. We then test these theoretical assertions against data collected from 568 individuals from Northern Pakistan. By comparing various sub-groups using Ordinary Least Square and Binary Logistic regression analysis, our results reveal that higher interest rates more than offset the positive effects of microcredit on clients’ income. We also discuss policy implications of the findings.JEL Classification: I30, G21, C61, E64.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"78 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-12DOI: 10.1177/21582440241262695
Uğur Şener, Salvatore Joseph Terregrossa
The aim of the study is the development of methodology for accurate estimation of electric vehicle demand; which is paramount regarding various aspects of the firms decision-making such as optimal price, production level, and corresponding amounts of capital and labor; as well as supply chain, inventory control, capital financing, and operational expenses management. The forecasting methods utilized include statistical techniques (autoregressive integrated moving average [ARIMA], and polynomial regression), machine learning (nonlinear autoregressive neural network [NAR]), deep learning (long short-term memory [LSTM]), hybrid and combination forecasting. With regard to the latter method, our study experiments with four different combining model approaches, including the introduction of an original, novel combining method with the employment of a transcendental LASSO function, which is used to form combinations of forecasts generated by the NAR, ARIMA, and polynomial regression models. The LASSO-based combining model proved superior to all other models, for the majority of forecast error statistics; where the root mean square error (RMSE) and mean absolute percentage error (MAPE) values are 4.5% and 8% respectively lower than the average level of the component model forecasts. The major implications of our empirical findings are that greater accuracy in demand forecasting can be achieved with a combining model approach, rather than reliance on any particular, singular model. Furthermore, given its superior performance, the employment of the studys LASSO-based combining model to forecast electric vehicle demand may lead to optimal firm decision-making over a range of organizational facets, which is predicated on accurate demand function estimation.
{"title":"A Transcendental LASSO Function for Combining Machine Learning and Statistical Model Forecasts","authors":"Uğur Şener, Salvatore Joseph Terregrossa","doi":"10.1177/21582440241262695","DOIUrl":"https://doi.org/10.1177/21582440241262695","url":null,"abstract":"The aim of the study is the development of methodology for accurate estimation of electric vehicle demand; which is paramount regarding various aspects of the firms decision-making such as optimal price, production level, and corresponding amounts of capital and labor; as well as supply chain, inventory control, capital financing, and operational expenses management. The forecasting methods utilized include statistical techniques (autoregressive integrated moving average [ARIMA], and polynomial regression), machine learning (nonlinear autoregressive neural network [NAR]), deep learning (long short-term memory [LSTM]), hybrid and combination forecasting. With regard to the latter method, our study experiments with four different combining model approaches, including the introduction of an original, novel combining method with the employment of a transcendental LASSO function, which is used to form combinations of forecasts generated by the NAR, ARIMA, and polynomial regression models. The LASSO-based combining model proved superior to all other models, for the majority of forecast error statistics; where the root mean square error (RMSE) and mean absolute percentage error (MAPE) values are 4.5% and 8% respectively lower than the average level of the component model forecasts. The major implications of our empirical findings are that greater accuracy in demand forecasting can be achieved with a combining model approach, rather than reliance on any particular, singular model. Furthermore, given its superior performance, the employment of the studys LASSO-based combining model to forecast electric vehicle demand may lead to optimal firm decision-making over a range of organizational facets, which is predicated on accurate demand function estimation.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"15 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Extant literature suggests a positive correlation between social trust (also called generalized trust) and life satisfaction. However, the psychological pathways underlying this relationship can be complex. Using the Bayesian Mindsponge Framework (BMF), we examined the influence of social trust in a high-violence environment. Employing Bayesian analysis on a sample of 1,237 adults in Cali, Colombia, we found that in a linear relationship, generalized trust is positively associated with life satisfaction. However, in a model including the interactions between trust and education level as well as between trust and socioeconomic status, generalized trust is found to be negatively associated with life satisfaction. In this non-linear relationship, both education level and socioeconomic status have moderating effects against the negative association between generalized trust and life satisfaction. In other words, less educated people living in worse socioeconomic conditions are more likely to have lower life satisfaction when they have higher levels of social trust. In contrast, highly educated people living in better socioeconomic conditions are more likely to have higher life satisfaction when they have higher levels of social trust. Due to the facilitating function of trust in information processing, lowering the rigor of the filtering system in a high-violence social environment will likely put an individual at risk. Based on our findings, we suggest that policymakers should be more meticulous and consider many socioeconomic factors when advocating for increasing social trust. We also recommend that researchers should investigate deeper the complexity of human psychology and the information-processing mechanisms of social trust.
{"title":"Examining the Influence of Generalized Trust on Life Satisfaction Across Different Education Levels and Socioeconomic Conditions Using the Bayesian Mindsponge Framework","authors":"Tam-Tri Le, Minh-Hoang Nguyen, Ruining Jin, Viet-Phuong La, Hong-Son Nguyen, Quan-Hoang Vuong","doi":"10.1177/21582440241267373","DOIUrl":"https://doi.org/10.1177/21582440241267373","url":null,"abstract":"Extant literature suggests a positive correlation between social trust (also called generalized trust) and life satisfaction. However, the psychological pathways underlying this relationship can be complex. Using the Bayesian Mindsponge Framework (BMF), we examined the influence of social trust in a high-violence environment. Employing Bayesian analysis on a sample of 1,237 adults in Cali, Colombia, we found that in a linear relationship, generalized trust is positively associated with life satisfaction. However, in a model including the interactions between trust and education level as well as between trust and socioeconomic status, generalized trust is found to be negatively associated with life satisfaction. In this non-linear relationship, both education level and socioeconomic status have moderating effects against the negative association between generalized trust and life satisfaction. In other words, less educated people living in worse socioeconomic conditions are more likely to have lower life satisfaction when they have higher levels of social trust. In contrast, highly educated people living in better socioeconomic conditions are more likely to have higher life satisfaction when they have higher levels of social trust. Due to the facilitating function of trust in information processing, lowering the rigor of the filtering system in a high-violence social environment will likely put an individual at risk. Based on our findings, we suggest that policymakers should be more meticulous and consider many socioeconomic factors when advocating for increasing social trust. We also recommend that researchers should investigate deeper the complexity of human psychology and the information-processing mechanisms of social trust.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"16 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141969548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-10DOI: 10.1177/21582440241267259
Phung Phi Tran
In an integrated world, knowledge-based economies require high-quality labor, which has always been challenging to cultivate, use, satisfy, and have a long-term competitive advantage. This article aims to identify areas of scientific research into high-quality workers in the labor market and to conduct data analysis. Using the Web of Science database from 1991 to 2023, the research outlined emerging trends in high-quality human resource management in the labor market through bibliometric analysis and text-mining approaches. This research also recommends developing research papers and exploring various aspects of high-quality human resource management in the labor market.
在一个一体化的世界里，知识型经济需要高素质的劳动力，而高素质劳动力的培养、使用、满足以及长期竞争优势一直是一个挑战。本文旨在确定劳动力市场中高素质劳动者的科学研究领域，并进行数据分析。研究利用 1991 年至 2023 年的 Web of Science 数据库，通过文献计量分析和文本挖掘方法，概述了劳动力市场中高素质人力资源管理的新趋势。该研究还建议撰写研究论文，探索劳动力市场高素质人力资源管理的各个方面。
{"title":"High-Quality Human Resources in the Labor Market: A First Assessment of Potential and Obstacles","authors":"Phung Phi Tran","doi":"10.1177/21582440241267259","DOIUrl":"https://doi.org/10.1177/21582440241267259","url":null,"abstract":"In an integrated world, knowledge-based economies require high-quality labor, which has always been challenging to cultivate, use, satisfy, and have a long-term competitive advantage. This article aims to identify areas of scientific research into high-quality workers in the labor market and to conduct data analysis. Using the Web of Science database from 1991 to 2023, the research outlined emerging trends in high-quality human resource management in the labor market through bibliometric analysis and text-mining approaches. This research also recommends developing research papers and exploring various aspects of high-quality human resource management in the labor market.","PeriodicalId":48167,"journal":{"name":"Sage Open","volume":"28 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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