scholarly journals The Effect of Planned Behaviour Theory on Agropreneurship Intention: The Moderating Role of Gender

2020 ◽  
Vol 17 (2) ◽  
pp. 213
Author(s):  
Mohd Nur Fikri Waktu Saptu ◽  
Sylvia Nabila Azwa Ambad ◽  
Viduriati Sumin
Keyword(s):  
Structural Equation ◽  
Poverty Reduction ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Poor People ◽  
Planned Behaviour ◽  
Agriculture Sector ◽  
And Gender ◽  
Agricultural Entrepreneurship ◽  
Unemployed Youth

Agriculture is the second largest contributor to Sabah’s Gross Domestic Product (GDP), with an average contribution of 24% annually. It is also proven in many third world countries that investment in agriculture plays a crucial role in poverty reduction, providing more job opportunities, and ensuring food security. Sabah recorded the highest rate of unemployed youth in 2018 and remained as the state with the highest score of hardcore poor people in Malaysia; thus, Sabah will be economically benefited from agricultural growth. However, the number of youth participation in the agriculture sector is still low at a rate of approximately 15%. Agricultural entrepreneurship or also known as agropreneurship among youth, needs to be broadened to promote greater opportunities in the agriculture sector. Therefore, using the Theory of Planned Behaviour (TPB), this research examines agropreneurship intention and the moderating effect of gender among youth in Sabah, Malaysia. A total of 382 youth participated in the survey. Partial Least Squares-Structural Equation Modeling 3.0 was used to analyse the collection of data. The results found that attitude of the youths towards agropreneurship and perceived behavioural control have a positive effect on agropreneurship intention. Meanwhile, subjective norms did not have a significant effect on agropreneurship intention, and gender has no moderating effect. In line with the first Sabah Agriculture Blueprint 2021–2030, this study intends to contribute to the formulating of policies and relevant programmes, especially in accelerating agropreneurship participation. It also contributes to Sabah’s aspiration of becoming a hub for the agriculture sector in this region.

scholarly journals The Implementation of Harrod-Domar Economic Growth Model in North Sulawesi, Indonesia

2019 ◽  
Vol 4 (1) ◽  
pp. 19-30
Author(s):  
Jeane Rumawir
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Structural Equation ◽  
Poverty Reduction ◽  
Goodness Of Fit ◽  
Hypothesis Test ◽  
Research Result ◽  
Equation Modeling ◽  
Poor People ◽  
Analysis Model

The study aimed to: Understand and analyze the poors perceptions and attitude on poverty reduction programs, identify, elaborate, and analyzethe term poor among the poor people and identify and analyze meaning and expectation on poverty reduction program. This research applies developmental research method; the analysis model uses SEM (Structural Equation Modeling). Before applying this model, goodness of fit was conducted in order to find out whether this model can be accepted or not. The model could achived goodness of fit; therefore, all variables could follow hypothesis test. The research result showed the changed in economic structures have direct significant influence on the government’s stimulus and economic growth. Capital establishment also has direct unsignificant effect on the government’s stimulus. Capitall establishment has significant influence to the economic growth and the socio cultural influence does not have significant influence to the economic growth. These results indicate that the greater stimulus of the government signified by precise goals leads to better economic growth.

Perceived Employability Moderates Burnout and Depression Among Bank Employees

2016 ◽  
Vol 44 (7) ◽  
pp. 1123-1132 ◽  
Author(s):  
Haishu Qiao ◽  
Yue Xia ◽  
Ying Li
Keyword(s):  
Mental Health ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Hierarchical Regression ◽  
Negatively Associated ◽  
Perceived Employability ◽  
Bank Employees ◽  
The Relationship

Because bank employees have been found to be especially susceptible to burnout and depression, we explored the relationship between these variables, and examined the moderating effect of perceived employability on the burnout–depression relationship in a sample of Chinese bank employees. As we expected, burnout and perceived employability were, respectively, positively and negatively associated with depression. The results of hierarchical regression and structural equation modeling indicated that perceived employability moderated the relationship between burnout and depression; higher perceived employability was associated with a weaker relationship between burnout and depression. Interventions aimed at developing the perceived employability of Chinese bank employees may help to improve mental health in this group.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

Military Background and Gender Identity in Psychological Assessment Among College Students: Factorial Invariance of the Counseling Center Assessment of Psychological Symptoms–62 (CCAPS-62)

Assessment ◽  
2021 ◽  
pp. 107319112199876
Author(s):  
Arpita Ghosh ◽  
Christopher R. Niileksela ◽  
Rebecca Janis
Keyword(s):  
Gender Identity ◽  
Structural Equation ◽  
Psychological Symptoms ◽  
College Counseling ◽  
Counseling Center ◽  
Factorial Invariance ◽  
Equation Modeling ◽  
Future Research ◽  
Military Background ◽  
And Gender

The purpose of this study was to examine the factorial invariance of the Counseling Center Assessment of Psychological Symptoms–62 (CCAPS-62) across military background and gender identity. A sample of 2,208 military students and 2,208 nonmilitary students were chosen from a large database of university and college counseling centers. Using exploratory structural equation modeling, findings suggested the CCAPS-62 is mostly invariant across military background and gender identity. Only three item thresholds appeared to be noninvariant across groups. These results suggest comparisons of scores across military background and gender can be made. Latent mean differences across groups were also examined. After controlling for several background variables, there were some differences between males and females on subscales measuring depression, eating concerns, and generalized anxiety, but no differences between military and nonmilitary students. Implications for practice and future research are discussed.

Understanding the Moderating Impact of Context-Awareness and Ubiquity on Mobile Government Services Adoption

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Technology Acceptance ◽  
Context Awareness ◽  
Structural Equation ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Policy Implications ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.

scholarly journals Person perception across group boundaries: a dynamic model of perception across race and gender lines

2021 ◽  
Author(s):  
Sally Yan-Jun Xie
Keyword(s):  
Face Perception ◽  
Impression Formation ◽  
Structural Equation ◽  
Person Perception ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Modeling Framework ◽  
Race And Gender ◽  
And Gender ◽  
Trait Impressions

People form impressions of others from their faces, inferring character traits (e.g., friendly) along two broad, influential dimensions: Warmth and Competence. Although these two dimensions are presumed to be independent, research has yet to examine the generalizability of this model to cross-group impressions, despite extant evidence that Warmth and Competence are not independent for outgroup targets. This thesis explores this possibility by testing models of person perception for own-group and other-group perceptions, implementing confirmatory factor analysis in a structural equation modeling framework, and analyzing the underlying trait space using representational similarity analysis. I fit 402,473 ratings of 873 unique faces from 5,040 participants on 14 trait impressions to own-group and other-group models, exploring whether perceptions across race and gender are more unidimensional. Results indicate that current models of face perception fit poorly and are not universal as presumed: the space of trait impressions varies depending on targets’ race and gender. Keywords: person perception, impression formation, face perception, intergroup processes, social cognition

scholarly journals Factors Related to Mental Health During the COVID-19 Lockdown in Spain

2021 ◽  
Vol 12 ◽  
Author(s):  
Ruth Pinedo ◽  
Isabel Vicario-Molina ◽  
Eva González Ortega ◽  
Andrés Palacios Picos
Keyword(s):  
Mental Health ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Survey ◽  
Psychological Impact ◽  
Well Being ◽  
Vulnerable Groups ◽  
Equation Modeling ◽  
Healthy Habits ◽  
And Gender

The COVID-19 disease has forced governments to adopt exceptional measures. The lockdown decreed in Spain in 2020 required citizens to stay confined at home, which might have affected their mental health. The objective is to identify factors that influenced adults' mental health during this period. A sample of 3,508 adults from the Spanish general population completed an online survey that collected sociodemographic data and information about daily planning and activities, healthy habits, loneliness, coping humor and mental health. Data were analyzed using Structural Equation Modeling. According to the results, the proposed model showed good fit values, and latent variables explained 30% of the variance in mental health. Loneliness, coping humor, healthy habits, age and gender had a significant weight in the prediction of mental health during lockdown. Area of residence, number of days of confinement and number of people in the household were not related to mental health. This study addresses the effect of COVID-19 and social distancing measures by identifying risk and protective factors for the development of mental health difficulties. There is a need to target specific and early interventions aimed at mitigating the psychological impact of the pandemic while increasing well-being, especially in more vulnerable groups.

scholarly journals Promoting the Propensity for Blood Donation Through the Understanding of Its Antecedents.

2020 ◽  
Author(s):  
Roberta Guglielmetti Mugion ◽  
Pasca Maria Giovina ◽  
Di Pietro Laura ◽  
Maria Francesca Renzi
Keyword(s):  
Mixed Methods Research ◽  
Structural Equation ◽  
Theory Of Planned Behaviour ◽  
Word Of Mouth ◽  
Blood Donation ◽  
Universal Coverage ◽  
Equation Modeling ◽  
Planned Behaviour ◽  
Donation Intention ◽  
Italian Context

Abstract Background. The paper is aimed at understanding the main antecedents related to the blood donation propensity related to both donors and non-donors. With our research, we are going to analyse the two perspectives in order to identify similarities and differences concentrating on the Italian context. Our findings can be useful also in the COVID-19 epoch in which blood availability continue to be a primary need of hospitals. Blood is a vital resource that strongly affects the efficacy and sustainability of every national healthcare system and the system’s ability to achieve the goal of universal coverage. This is especially true in the COVID-19 epidemic, in which there is the need for blood among hospitals. Methods. The purpose of this paper is to understand the main antecedents of citizens’ blood donation intention and the propensity to enhance word of mouth among both donors and non-donors. To fulfil this purpose, the Theory of Planned Behaviour is adopted as a theoretical lens. An empirical investigation was performed in Italy, adopting a mixed methods research design. First, a qualitative analysis was carried out through 30 in-depth interviews. Then, a survey was used to quantitatively investigate the intention to donate among both donors (N=173) and non-donors (N=87). A conceptual model was developed and tested through Structural Equation Modeling, developing a multi-group approach. Results. The present study confirms the relations proposed by the Theory of Planned Behaviour, even though some differences between the two groups are shown. The construct Information and Communication is crucial for donors, non-donors, and non-donor inhibitors. Service quality has an impact on the propensity to generate Word Of Mouth. Conclusion. This paper reveals the main differences between donor and non-donor perspectives. Fruitful insights for enhancing blood donation awareness are provided. Our findings can also be useful in the COVID-19 epidemic, in which there is more need for blood in hospitals.

scholarly journals Analisis Pengaruh Faktor-Faktor Literasi Keuangan Terhadap Keputusan Berinvestasi Pada Asuransi Jiwa di Kota Palembang

2021 ◽  
Vol 4 (3) ◽  
pp. 798-812
Author(s):  
Resa Novita ◽  
Isni Andriana ◽  
Kemas M Husni Thamrin
Keyword(s):  
Life Insurance ◽  
Financial Literacy ◽  
Structural Equation ◽  
Quantitative Research ◽  
Investment Decisions ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
And Gender

The purpose of this research is to analyze the effect perceptions about financial literacy factors against the investment decisions on life insurance in Palembang. The population in this study is the owner of life insurance in Palembang, the sampling in this study is using the Purposive Sampling method with 50 respondents as samples. The type of research used is quantitative research with primary data sources obtained from distributing questionnaires to respondents. The data analysis technique in this research are descriptive and inferential statistical analysis using Structural Equation Modeling (SEM) with smartPLS (Partial Least Square) 3.0 software. The results showed that the perception of age and gender has no significant effect against the investment decisions on life insurance in Palembang, meanwhile the perception of education level and income have a significant effect against the investment decisions on life insurance in Palembang. Keywords: Age, Gender, Level of Education, Income, Investment Decisions

The Moderating Effect of the Status of Using a Product on the Relationship Between Brand Experience and Word of Mouth Recommendations

2021 ◽  
Vol 9 (2) ◽  
pp. 41-59
Author(s):  
Ngatno Ngatno ◽  
Endang P Apriatni
Keyword(s):  
Brand Loyalty ◽  
Structural Equation ◽  
Strong Relationship ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Brand Experience ◽  
User Group ◽  
The Status ◽  
The Relationship ◽  
Brand Satisfaction

The purpose of this study was to examine the moderating effect of the status of using the product on the relationship between brand experience, satisfaction, loyalty and brand recommendation. Structural equation modeling (SEM) with multi groups was used for data analysis. The results of this study indicate that there is a strong relationship between brand experience, satisfaction, loyalty and brand recommendation. The effect of brand experience and brand satisfaction on WOM recommendations was higher in the new user group than in the established user group. While the effect of brand loyalty on WOM recommendations was higher for established users than for new users. The effect of brand experience on brand satisfaction was greater for established users than for new users. While the effect of brand experience on brand loyalty was greater in the new-user group, it was not significant. Finally, the effect of brand satisfaction on brand loyalty was greater for established users than for new users.

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