Significant Positive Direct Effect Research Articles

An Empirical Study on the Educational Application of ChatGPT

At present, the digital transformation of education has become a national strategy, and ChatGPT is of great significance to the in-depth promotion of the digital transformation of education.Chatgpt has become a hot spot at home and abroad. The application of ChatGPT in daily education and study need to be deepened, but there is still a lack of attention to the current situation and effect of ChatGPT at home and abroad. Based on expectation confirmation theory, information system success theory and TAM model, this study constructs a model of the influencing factors of ChatGPT learners' use satisfaction. The results of structural equation analysis show that perceived usefulness, expectation confirmation and information quality have significant positive direct effects on learners' satisfaction; perceived ease of use, system quality and social influence have significant positive direct effects on learners' perceived usefulness; system quality and information quality have significant positive direct effects on learners' expectation confirmation; perceived usefulness has significant positive direct effects on behavior intention; system quality has significant positive direct effects on perceived ease of use. The results of qualitative comparative analysis of fuzzy sets show that there are six schemes to promote learners' satisfaction. The overall coverage of the six configurations is 0.974215, and the consistency is 0.71898. On the basis of the above research, some countermeasures and suggestions are put forward finally.

Analysis of Malnutrition among Children under Five Years across Contrasting Agroecosystems of Northwest Ethiopia: Application of Structural Equation Modeling.

Child malnutrition remains a public health challenge in developing countries, but a comprehensive understanding of its burden and its determinants in specific local contexts is generally lacking. This study examined the prevalence of malnutrition and its determinants among children aged <5 years across contrasting agroecosystems in northwest Ethiopia. A community-based cross-sectional study involving 400 respondents was employed. Data were collected through semi-structured questionnaires and anthropometric measurements, complemented with focus group discussions and key informant interviews. The direct and indirect effects of the determinants of malnutrition were examined using structural equation modeling (SEM). The overall prevalence of child malnutrition, measured using the Composite Index of Anthropometric Failure, was 49%, with notable variation across agroecosystems (from 36.1% [midland with red soil] to 59% [lowland and valley fragmented]). Disease experience had significant positive direct effects on malnutrition. Dietary intake had negative and significant total (direct and indirect) effects on malnutrition, partially mediated through disease experience. Serial mediation in SEM analysis revealed significant indirect relationships between malnutrition and food security, feeding and care practices, household environment, health services, maternal diet, maternal empowerment, household wealth, and nutrition-sensitive agricultural practices. In conclusion, child malnutrition was highly prevalent and higher among children in the lowland and valley fragmented agroecosystem, characterized by unfavorable agro-climatic conditions, lower wealth status, poor health services access, and higher disease (particularly malaria) exposure. This study demonstrates the dynamics and multifaceted nature of malnutrition, highlighting the importance of considering geographical differences when planning interventions for childhood malnutrition and its determinants.

Structural Equation Modeling of Relationships Among Lean Operational, Financial Performance, and Customer Satisfaction

Objectives: The challenges of implementing a lean business system can be solved by Structural Equation Modeling. In this research, the link between lean operational, financial performance, and customer satisfaction has been investigated in the Akaki Basic Metal Industry in Ethiopia. Methods: A lean operational performance that met the needs of the industry was identified by conducting a structural survey questionnaire to collect feedback data from experts. The model was developed including 28 variables from the experts in the industry. The collected responses were tested for reliability and validity using Cronbach's alpha, composite reliability, convergent, and discriminant validity. Findings: From the use of Analysis of Moments and Structures (AMOS-SEM), the results confirmed that C.R. &gt; 1.96, p &lt; 0.001, and p &lt; 0.05 on quality and delivery. This shows a significant positive direct effect on customer satisfaction by 25.8% on quality, 24.9% on delivery, and 10.3% on cost. Novelty: Even though LM has become a fundamental aspect of industrial manufacturing processes, lack of understanding (knowledge) and practicing how to implement the positive impact on lean operational, financial performance, and customer satisfaction are still not sufficiently exploited particularly in developing countries. This research adds values to the practical use of the concept by examining the relationship among lean operational, financial performance, and customer satisfaction within basic metal manufacturing industry in Ethiopia. In addition to this, the findings have demonstrated improved organizational performance through structural equation modeling. It also helps leaders to focus more on training employees on quality issues and developing an awareness of quality achievement as a core value in the industry. Keywords: Confirmatory factor analysis, Exploratory factor analysis, Lean operational performance, Structural equation modeling, Customer satisfaction

Relationship between teachers' professional identity and career satisfaction among college teachers: role of career calling.

Professional identity has been found an important determinant of career satisfaction of employees working in various fields. Teachers' professional identity is a relatively less explored domain. Considering the importance of teacher's career satisfaction, the current study was designed to test the role of career calling in the relationship between teachers' professional identity and career satisfaction. A sample of teachers (N = 300) with (n = 115) men and (n = 185) women was recruited from the colleges of Sargodha City, Pakistan with an age range from 24 to 45 (M = 31.3, SD = 6.4). A purposive sampling technique was employed for data collection. Variables of the present study were operationalized through the Professional Identity Scale, Brief Calling Scale, and Career Satisfaction Scale. Path analysis revealed that normative identity did not have any direct or indirect effects on career satisfaction and career calling. Whereas affective and efficacy identity demonstrated significant positive direct effects on career calling whereas career calling had significant positive direct effect on career satisfaction. Efficacy identity also had a significant positive direct effect on career satisfaction. Finally, both affective and efficacy identity had significant positive indirect effects on career satisfaction via career calling. The findings of the current study may help in devising plans to improve the career satisfaction of teachers working in the higher education sector.

Genetic variability, character association and path analysis in sugarcane genotypes

ABSTRACT The study, conducted at Tana-Beles Sugarcane plantation in Ethiopia from May 2022 to October 2023, used a partially balanced lattice design with two replications to assess variability and trait associations among 196 sugarcane genotypes collected from 14 countries. Highly significant (p < 0.0001) variability was observed for all traits; especially genotypes with fuzz exhibited wider variation for cane (20.97–135.31 t/ha) and sugar yield (1.83–20.42 t/ha), highlighting their potential for improvement. Except for single cane weight, brix, and purity, all traits displayed moderate to high heritability (H2 : 31–79%) and genetic advance (GAM: 10.69–53.14%), indicating potential for improvement through phenotypic selection being controlled by additive gene actions. The number of millable stalks, stalk length, stalk diameter, brix and cane yield showed significant positive genotypic correlations (r = 0.49, r = 0.55, r = 0.41, r = 0.65, and r = 0.98, respectively) and strong direct positive effects (0.33, 0.47, 0.75, 0.51 and 0.83, respectively) on sugar yield. Thus, Sugar yield, along with these traits, can serve as selection criteria for identifying high-sugar-yielding sugarcane genotypes. Consequently, the top three sugarcane genotypes for multi-traits, namely B552–11, FG04–466, and B707–1, could be evaluated across seasons for commercial use at Tana-Beles.

Regional competition, spatial spillover effects, and entrepreneurship subsidy policies—evidence from incubators in Guangdong, China

ABSTRACT Using data from 2016 to 2018 for all incubators in Guangdong, China, we find that for start-up incubators, the average subsidy level of the city where the incubator is located is significantly positively correlated with the number of patents obtained per unit area of the incubator, regardless of the subsidy amount obtained by the incubator itself. However, this phenomenon is not significant for incubators that have been established for more than 1 year. The subsidy policy of the local government has a significant positive direct effect on the number of patents obtained per unit area of local incubators, but a significant negative indirect effect on incubators in neighbouring regions. Both effects are similar in magnitude, with the overall effect of the subsidy policy being almost completely offset. Therefore, owing to the spatial spillover effect, a considerable part of the effect of the local government subsidy policy only manifests as competition for high-quality enterprises between regions, and the actual improvement of the operational performance of the enterprises themselves is not obvious. Therefore, ignoring the spatial spillover effect of subsidy policies greatly reduces their actual effect.

Quantitative Assessment of the Impact of Climate Change on the Growing Season of Vegetation Gross Primary Productivity in the Middle and Lower Reaches of the Yangtze River

Quantitatively determining the direct, indirect, and comprehensive effects of climatic factors on the growing season of the vegetation GPP (GPPGS) in the middle and lower reaches of the Yangtze River at the regional and vegetation type scales can provide a scientific basis for the management and restoration of regional vegetation resources under the background of global climate change. Using MODIS GPP data, meteorological data, and vegetation type data, combined with Theil-Sen Median trend analysis and the Mann-Kendall significance test, the spatiotemporal characteristics of the GPPGS in the middle and lower reaches of the Yangtze River were investigated at different temporal and spatial scales. Path analysis was used to further reveal the direct, indirect, and comprehensive effects of climate factors on GPPGS variation in different vegetation types. The results showed that:① from 2000 to 2021, the vegetation GPPGS in the middle and lower reaches of the Yangtze River showed a fluctuating upward trend, with a rising rate (in terms of C, same below) of 2.70 g·(m2·a)-1 (P<0.01). The GPPGS of different vegetation types all showed a significant upward trend (P<0.01), with shrubs having the highest upward rate of 3.31 g·(m2·a)-1 and cultivated vegetation having the lowest upward rate of 2.54 g·(m2·a)-1. ② The proportion of the area with an upward trend in GPPGS in the middle and lower reaches of the Yangtze River was 88.11%. The proportion of the area with an upward trend in GPPGS was greater than 84% for all different vegetation types, with shrubs (49.76%) and cultivated vegetation (44.36%) having significantly higher proportions of the area with an upward trend than that in other vegetation types. ③ The path analysis results showed that precipitation and the maximum temperature had a significant positive direct effect on vegetation GPPGS (P<0.05), whereas solar radiation had a non-significant positive effect (P ≥ 0.05). The indirect effects of maximum temperature, precipitation, and solar radiation on vegetation GPPGS were all non-significantly negative (P ≥ 0.05). Under the combined effects of direct and indirect influences, precipitation and maximum temperature had a non-significant positive effect on vegetation GPPGS (P ≥ 0.05), whereas solar radiation had a non-significant negative effect on vegetation GPPGS (P ≥ 0.05). Among different vegetation types, precipitation was the main climate factor affecting the changes in GPPGS of cultivated vegetation, whereas the maximum temperature was the main climate factor affecting the changes in GPPGS of coniferous forests, broad-leaved forests, shrubs, and grasslands. ④ The changes in vegetation GPPGS in the middle and lower reaches of the Yangtze River were mainly influenced by the direct effects of maximum temperature, precipitation, and solar radiation, with the direct effect of precipitation dominating 56.72% of the changes in GPPGS. The research results can provide a reference for quantifying the carbon sequestration potential of vegetation in the middle and lower reaches of the Yangtze River and formulating ecological restoration governance policies tailored to local conditions under the background of global climate change.

The effects of celebrity endorser on consumer advocacy behavior through the customization and entertainment intention – A multivariate analysis

Purpose The purpose of this study is to investigate the effects of celebrity endorsers on consumer advocacy, customization and entertainment intentions based on the notion of the stimulus–organism–response (SOR) framework. In addition, this study aims to examine the mediating and moderating role of customization and entertainment intentions on the proposed relationships. The authors also intend to highlight the comparative effects between male and female young social media consumers on those proposed associations. Design/methodology/approach In the pursuit of comprehensive and rigorous data collection, this study adopted a quantitative methodology using a meticulously crafted questionnaire. The questionnaire survey was conducted in major cities of Malaysia using the convenience and snowball sampling techniques. A total of 576 responses were collected, even though 549 retorts were used for data analysis. In this investigation, the authors strategically used covariance-based structural equation modeling through the use of AMOS v. 24 as the primary data analysis tool. Augmenting the analytical depth, the authors also conducted a supplementary bootstrap analysis. The additional layers of examination were crucial for appraising the mediating and moderating effects inherent within the model, in which the PROCESS MACRO v.4.20 was used. Findings The results of this study revealed the significant direct positive effects of celebrity endorsers on consumer customization, entertainment and advocacy intentions. Consumer customization and entertainment intentions also found significant direct affirmative effects on consumer advocacy intention, along with the significant direct positive effects of consumer entertainment intention on consumer customization intention. The results further revealed that consumer customization and entertainment intentions cannot mediate the relationship between celebrity endorsers and advocacy intention. The entertainment intention also declined the mediating effects between celebrity endorsers and consumer customization intention. On the contrary, consumer customization intention significantly and positively, and entertainment intention also significantly but negatively, moderate the association between celebrity endorsers and consumer advocacy intention. This study also illustrates that the effects of those examined relationships differ between male and female young social media consumers. Originality/value This study investigates the impact of celebrity endorsers on consumer behavior, focusing on their customization, entertainment and advocacy intentions. It extends current SOR framework, enhances source credibility theory, fills gaps in the literature on social media brand engagement and underscores the significance of customization and entertainment intentions. The findings provide insights for managers aiming to harness consumer brand advocacy through celebrity endorsers effectively.

The Influence of Transformational Leadership, Motivation and Work Environment on Employee Performance Mediated by Discipline Work at PT. Pupuk Indonesia Pangan

Problems that occur at PT. Pupuk Indonesia Pangan where there are allegations of problems that cause the company's revenue targets to not be achieved from year to year, which has an impact on the company's revenue achievement, which is caused by employee performance always decreasing every year. In theory, many factors can influence employee performance, including transformational leadership, motivation and work environment and work discipline. Performance is various forms of results achieved by each individual in their field of work. The purpose of this research is to determine the influence of transformational leadership, motivation and work environment on employee performance as mediated by work discipline at PT. Pupuk Indonesia Pangan with a population of 110. The sample used was 110 respondents. Variable measurement was carried out using a Likert scale. Data analysis was carried out using SmartPLS. From the results, there is a significant positive direct effect of transformational leadership, motivation and environment on work discipline. There is a significant positive direct effect of motivation and work discipline on employee performance, while transformational leadership and the work environment have no effect on employee performance. Work discipline is able to mediate transformational leadership, motivation and work environment on employee performance at PT. Pupuk Indonesia Pangan. It can be concluded that both directly and indirectly there is an influence of transformational leadership, motivation and work environment on employee performance which is mediated by work discipline at PT. Pupuk Indonesia Pangan.

Novel Alleles from Cicer reticulatum L. for Genetic Improvement of Cultivated Chickpeas Identified through Genome Wide Association Analysis.

The availability of wild chickpea (Cicer reticulatum L.) accessions has the potential to be used for the improvement of important traits in cultivated chickpeas. The main objectives of this study were to evaluate the phenotypic and genetic variations of chickpea progeny derived from interspecific crosses between C. arietinum and C. reticulatum, and to establish the association between single nucleotide polymorphism (SNP) markers and a series of important agronomic traits in chickpea. A total of 486 lines derived from interspecific crosses between C. arietinum (CDC Leader) and 20 accessions of C. reticulatum were evaluated at different locations in Saskatchewan, Canada in 2017 and 2018. Significant variations were observed for seed weight per plant, number of seeds per plant, thousand seed weight, and plant biomass. Path coefficient analysis showed significant positive direct effects of the number of seeds per plant, thousand seed weight, and biomass on the total seed weight. Cluster analysis based on the agronomic traits generated six groups that allowed the identification of potential heterotic groups within the interspecific lines for yield improvement and resistance to ascochyta blight disease. Genotyping of the 381 interspecific lines using a modified genotyping by sequencing (tGBS) generated a total of 14,591 SNPs. Neighbour-joining cluster analysis using the SNP data grouped the lines into 20 clusters. The genome wide association analysis identified 51 SNPs that had significant associations with different traits. Several candidate genes associated with early flowering and yield components were identified. The candidate genes and the significant SNP markers associated with different traits have a potential to aid the trait introgression in the breeding program.

Transformational Leadership of School Heads, Team Building Effectiveness, and Stress Management Competency: A Structural Equation Model on Attitude to Organizational Change of Teachers

This study aimed to determine the best-fit model for teachers’ attitudes toward organizational change as influenced by transformational leadership of school heads, team building effectiveness, and stress management competency among 400 public elementary school teachers in Davao Region, Philippines. Using the Structural Equation Model Analysis, findings revealed very high levels of Transformational Leadership of school heads, team building effectiveness, stress management competency, and attitude of teachers to organizational change. Moreover, there is no significant correlation between the Transformational Leadership of school heads and the attitude of teachers toward toward organizational change. However, the result of team building effectiveness and the attitude of teachers toward organizational change have a significant relationship. The stress management competency and the attitude of teachers toward organizational change were also correlated. Meanwhile, the overall model needs to be more critical, indicating that these factors do not explain a significant portion of the variance in attitudes to organizational change. Further, results showed that Model 3 passed the criteria for the best-fit model since it showed that team-building effectiveness has a significant positive direct effect on attitudes toward organizational change, suggesting that effective team-building positively influences how teachers perceive organizational change. Its three observed retained indicators measured it: Self-oriented, Relationship Oriented, and Responsibility Oriented Roles. Stress Management Competency has a negative direct effect on Attitudes to Organizational Change measured by four observed retained indicators: Managing Emotions and having Integrity, Managing and communicating existing and Future Work, Managing the Individual within the team, and Managing Difficult Situations. Likewise, attitudes to organizational change are Influenced by both Team Building Effectiveness and Stress Management Competency measured by retained indicators: Attitude of Cynicism to Change, Attitude of Opposition due to Fear Uncertainty, and Attitude of Acceptance to Change. The findings were supported by the theory of Planned Behavior (TPB) by Icek Ajzen. It posits that an individual’s intention to engage in a behavior is being used to understand how these factors influence employees’ intentions and attitudes toward organizational changes. Using TPB in this organizational change context often focuses on how these factors can predict the likelihood of employees accepting and adapting to changes.

Identifying key determinants of rice yield potential through multiple statistical techniques

Grain yield is complex traits, influenced by genetics and the environment, posing challenges for prediction. The goal of the present study was to identify key traits that contribute to rice yield by applying seven statistical techniques. The study examined twenty-four rice genotypes following a randomized complete block design (RCBD) with three replications. Pearson's correlation analysis revealed several traits exhibiting significant positive correlations with grain yield (r≥0.60), including thousand-seed weight (r = 0.63), filled seeds/panicle (r = 0.74), and number of panicles/m2 (r = 0.70). Multiple linear regression identified significant predictors as the number of panicles/m2 (R=0.01) and thousand-seed weight (Coefficient=0.12). Stepwise linear regression suggested key yield indicators viz. the number of panicles/m2 (R=0.01), filled seeds/panicle (R=0.02), thousand-seed weight (R=0.11), and panicle length (R=0.13). Bayesian linear regression found similar traits with a Bayes factor of 995.2 and an R-squared value of 0.77. Exploratory factor analysis showed grain number/panicle, filled seeds percentage, filled seeds/panicle, thousand-seed weight, grain width, and panicles/m2 are highly influenced grain yield and explained 61.9% total variance. Principal components analysis revealed the first three components explaining 79.1% of yield variation, with thousand-seed weight, grain width, and panicle number/m2. Path analysis demonstrated the number of panicles/m2, filled seeds/panicle, thousand-seed weight, and panicle length have large and significant positive direct effects on grain yield. These findings strongly suggest that selecting breeding materials with traits like high panicle density/m2, larger panicle size, more filled seeds/panicle, and higher thousand-seed weight, can significantly increase the rice yield.

Responses of soil bacterial communities and maize yields to sulfur application across four soil types.

This study assessed the effects of S application on maize yields and soil bacterial communities across four sites with different soil types and three S application rates (0 kg ha-1, 30 kg ha-1, and 90 kg ha-1). Changes in soil properties, bacterial community diversity, structure, and their contributions to maize production were evaluated post-S application treatments. (1) S application decreased soil pH, increased available sulfur (AS), and boosted maize yields in all soil types. (2) Reduced Chao1 and Shannon diversity indices were observed in black soil after S application. (3) Bacterial community structure was significantly affected by S application, except in sandy soil, impacting key stone taxa abundance. (4) Black soil showed higher sensitivity to S application due to less stable bacterial community structure. (5) Soil physicochemical indicators altered by S application, such as AS and pH, mediated bacterial diversity, influencing maize yield. Organic matter (OM) had the most significant direct positive effect on yield, followed by AS and bacterial community diversity. This study emphasizes the impact of S application on soil properties and bacterial communities in diverse soil types. Understanding these mechanisms can guide precision S application practices for maize yield regulation.

The Mediating Role of Procrastination in the Relationship between Fear of Missing Out and Internet Addiction in University Students.

This study aims to examine the potential mediating role of procrastination in the relationship between fear of missing out and internet addiction. Employing a cross-sectional research design, this study utilized a paper-pencil form to collect data from 315 students (65.4% undergraduate and 66.3% females) between 18 and 32 (Mage = 22.43; SD = 3.81) studying at a state university in Türkiye. Data were collected through the convenience sampling method. The study was designed as a survey model. This design was tested via mediation analysis. The participants completed self-report assessments using the Fear of Missing Out Scale (FoMOs), General Procrastination Scale (GPS-9), and Young Internet Addiction Scale (short form). The findings showed that FoMO had a significant positive direct effect on both procrastination (R2 = 0.13) and internet addiction (R2 = 0.33). Procrastination also had a significant positive direct effect on internet addiction (R2 = 0.34). Additionally, procrastination mediated the relationship between the fear of missing out and internet addiction (β = 0.156, p < 0.001). These findings not only extend the scope of existing research but also hold practical implications for the development of sustainable interventions. It is believed that the findings will contribute to the consideration of procrastination when preparing psychoeducation or group guidance programs for internet addiction. These interventions can effectively address the process through which fear of missing out leads to internet addiction by considering the significant role of procrastination in students. Findings typically suggest that procrastination behavior is a key factor in explaining the association between FoMO and internet addiction.

Unclenching the potentials of global core germplasm for root nodulation traits for increased biological nitrogen fixation and productivity in chickpea (Cicer arietinum L.)

Chickpea being an important food legume crop is able to fix the atmospheric nitrogen and form root nodules that support biologicalnitrogen fixation- a sustainable alternative for nitrogen supply to agriculture worldwide. In order to support findings on nodule formation in chickpeas, a diverse core set of 300 chickpea genotypes, including four checks, was evaluated for morphological and nodulation traits in four different environments. The maximum genotypic and phenotypic coefficient of variation was observed for a number of nodules, nodule fresh weight, shoot fresh weight, and number of seeds per plant. The heritability for most of the characters ranged from 26.56 for days to 50% flowering to 99.61 for a number of pods per plant. The genotypic and phenotypic correlation coefficient analysis revealed that the number of nodules was positively correlated with seed yield. Further, seed yield was partitioned into direct and indirect effects at genotypic and phenotypic levels through path coefficient analysis. Significant genotypic correlations and direct positive effects were exhibited by a number of nodules and number of pods per plant on grain yield. Based on the D2 statistics, the number of seeds per plant, number of pods per plant, shoot fresh weight and number of nodules have been identified as top-ranking yield contributing traits. The genotypes ICC1013 and ICC16569 for a number of nodules and ICC1049 for the trait number of seeds per plant were identified as potential stable donors for the respective traits with high mean yield, heritability and genetic advance across the locations and can be used as donors in the chickpea breeding programs for increasing biological nitrogen fixation and enhancement of the crop productivity.

Spatiotemporal distribution characteristics and influencing factors of the rate of cardiovascular hospitalization in Ganzhou city of China.

The objective of this study was to analyze hospitalization rates for cardiovascular diseases (CVD) in Ganzhou City, Jiangxi Province of China from 2015 to 2020 and to uncover the spatiotemporal distribution characteristics and influencing factors, and thus to provide reference for the prevention and control of CVD and public health resources planning. The hospitalization data for CVDs from 2016 to 2020 was obtained from the First Affiliated Hospital of Gannan Medical University, and ArcGIS 10.8, SaTScan 9.5, and Matlab 20.0 were used to analyze the spatial autocorrelation, spatiotemporal scan statistics, and potential affecting factors of the hospitalization rates. The hospitalization rate for CVDs in Ganzhou City showed a slightly increasing trend from 2016 to 2020, with higher rates in winter and summer than that in spring and autumn, and the individuals aged 61 and above constitute a higher proportion compared to other age groups. Additionally, there was a positive correlation between hospitalization rates for CVDs and the counties and districts in Ganzhou City, with high-high aggregation areas mainly distributed in Nankang District, the western urban area of Ganzhou City. The spatial scan analysis identified three different types of significant aggregation areas: high-risk, low-risk, and middle-risk areas. The high-risk area was mainly centered around Zhanggong District or Shangyu County in the central and western regions, with a disease hospitalization rate 2-3 times higher than the rest areas. The study also found that environmental meteorological factors such as the annual average concentration of NO2, O3, average annual temperature, and annual maximum temperature diurnal range had a significant positive effect on hospitalization rates for CVDs in Ganzhou City, with O3 concentration and average annual temperature having significant positive indirect spatial spillover effects. Winter and summer are the seasons with high hospitalization rate of cardiovascular diseases. County residents aged 61 and above are the higher-risk population that needs to pay more attention on for prevention and control of CVD in Ganzhou City, which exhibits significant spatiotemporal clustering. The urban areas of Zhanggong and Nankang in Ganzhou City are the key areas for prevention and control of CVD. The hospitalization rate of CVD in Ganzhou City is influenced by the aforementioned four environmental meteorological factors, with the annual maximum temperature diurnal range showing the most significant positive direct effect.

Technostress, Quality of Work Life, and Job Performance: A Moderated Mediation Model.

This study examines the effect of technostress on teachers' quality of work life and job performance. A moderated mediation model is proposed and tested based on the transactional model of stress and coping. This study proposes organizational flexibility as the boundary condition-a first-level moderator-and quality of work life as the explanatory variable. A sample of 199 university teachers who worked from home or used the hybrid teaching mode was selected. Data were collected through closed-ended questionnaires. Structural equation modeling (SEM) and the Hayes PROCESS Macro (extension in SPSS) were used for hypothesis testing. The results found that the three dimensions of technostress (Techno complexity, Techno invasion, and Techno overload) negatively and significantly affect teachers' quality of work life. However, there are significant positive direct effects of these three dimensions of technostress on employee performance and significant negative indirect effects on performance through quality of work life. Organizational flexibility acts as a significant moderator, where a low value of organizational flexibility enhances the negative relationship between technostress and quality of work life. In contrast, high values of organizational flexibility convert the significant negative relationship into an insignificant impact. The university management must take measures to overcome technostress among teachers by showing flexibility.

The Sustainability of Emotional Intelligence and Decision-Making Flair by Financial Investors Through the Mediating Role of Coachability

Abstract Research background Investors today are more inclined towards a financial market that increases their knowledge and excess involvement. It is often observed that they are extensively emotionally involved, that impact financial investors’ investment decisions. It is observed that investors always seek guidance from an expert to invest in more appropriate products and services. This guidance and support lead to reaching the ultimate satisfaction of the participants. Purpose: This paper aims to examine the potential mediating role of investor coachability and its impact on financial investors’ emotional intelligence and decision-making styles. Research methodology The structured questionnaire was circulated among 106 respondents, of which 102 useful responses were considered. This research used validated scales of the Coachability Quotient questionnaire and the Schutte Self-Report Emotional Intelligence Test (SSEIT). The study has applied multiple regressions to predict rational decision-making and intuitive decision-making style through emotional intelligence and coachability as mediators. Results The results have found that emotional intelligence has a significant positive linear effect on coachability, with a positive direct impact on intuitive decision-making style. It was also found that emotional intelligence was found to have a significant positive direct effect on intuitive decision-making style and a negative linear direct effect on avoidance decision-making style. Novelty This research was to introduce the idea of incorporating behavioural finance or financial coaching as standard practice and to help investors learn to cope with the ever-increasing demands of the financial markets.

Research on the Spatial Effect and Threshold Characteristics of New-Type Urbanization on Carbon Emissions in China’s Construction Industry

As the strategic task of China’s modernization, the implementation of new-type urbanization has an important impact on carbon emissions from the construction industry. To fill the gap in considering the spatial correlation and threshold characteristics of new-type urbanization on carbon emissions from the construction industry, this paper constructs a comprehensive evaluation indicator of new-type urbanization, and the spatial economic model and the threshold regression model are adopted to analyze the panel data of 30 provinces in China from 2002 to 2020. The results indicate that (1) carbon emissions from China’s construction industry exhibit a significant positive spatial correlation, with more than half of provinces distributed as H-H and L-L types. (2) New-type urbanization has significant positive direct and indirect effects on carbon emissions in the construction industry; the labor efficiency, energy intensity, and development level of the construction industry and trade openness also have a significant spillover effect on carbon emissions from the construction industry. (3) At this stage, new-type urbanization exhibits a threshold effect on carbon emissions from the construction industry due to the different levels of development and energy intensity of the construction industry. After crossing the threshold value, the promotion effect of new-type urbanization on carbon emissions from the construction industry gradually increases. This paper provides a reference for promoting carbon emission reduction in the construction industry in the process of new-type urbanization.

Do employees involved in career accidents experience greater work engagement? The moderating role of job resources

PurposeThis study investigated whether job resources (i.e. strengths use support, career self-management and person–job [PJ] fit) moderate the relationship between perceived involvement in a career accident (PICA) and work engagement.Design/methodology/approachThe study adopted a time-lagged design (N = 398; 69% male), and data were collected at two-point of measurements among Nigerian university academics.FindingsResults of the present study indicated that employees with higher PICA scores reported low work engagement. Strength use support had significant direct positive main effects on employee work engagement and also produced a significant moderation effect between PICA and work engagement. Career self-management (CSM) was positively related to employee work engagement. The moderation effect of CSM on the relationship between PICA and work engagement was also significant. Results of the present study further indicated that P-J fit was related positively to work engagement and also moderated the negative relationship between PICA and work engagement.Originality/valueDearth of employment opportunities has led individuals to choose their career by chance, but empirical studies that validate this assertion are lacking. Few available studies on career accident were exclusively conducted in Western European contexts. The current study therefore deepens the understanding of career accident and work engagement in a neglected context such as Nigeria.