scholarly journals ANALYSIS OF POVERTY IN FOREST SURROUNDING COMMUNITIES BY SUSTAINABLE LIVELIHOOD APPROACH

2018 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
Rita Parmawati ◽  
Soemarno Soemarno ◽  
Maryunani Maryunani ◽  
Agung Sih Kurnianto
Keyword(s):  
Family Member ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Equation Modeling ◽  
P Value ◽  
Sustainable Livelihood ◽  
Factors Affecting ◽  
Standardize Coefficient ◽  
Rapid Appraisal ◽  
Sustainable Livelihood Approach

Poverty in forests surrounding communities shows a contrast between wealth of forest resources and poverty. The poverty of forests surrounding communities is seen as inefficient development to rural needs in general and forest management in particular. This study aims to analyze the factors affecting poverty, the relevance and Sustainable Livelihood Approach in poverty. This research was conducted in Argosari Village, Jabung Subdistrict and Mentaraman Village, Donomulyo District, Malang Regency. Sustainable livelihood approach is applied which adapted on five elements: human, natural, physical, social and financial asset. The sample was determined by proportional random sampling method. Participatory Rapid Appraisal (PRA) were used in this study. Quantitative approach in this study using descriptive analysis and Structural Equation Modeling (SEM). Poverti Gap 2 indicator (the number of family member) has the greatest contribution to Argosari poverty. The High Consumption 3 indicator (the number of new clothing in a year that can be bought) has the smallest contribution. Significantly, eight indicators have established in Mentaraman, which is indicated by a p-value less than 5% (0.05). Based on the size of the standardize coefficient, it is found that the Poverti Gap 2 indicator (the number of family member) has the greatest contribution to Mentaraman  poverty. Keywords : Argosari, Forest, Mentaraman, Poverty, SLA 

scholarly journals Factors Affecting Caregivers’ Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model

2019 ◽  
Vol 35 ◽  
pp. 153331751988349 ◽  
Author(s):  
Baozhen Dai ◽  
Ebenezer Larnyo ◽  
Ebenezer Ababio Tetteh ◽  
Abigail Konadu Aboagye ◽  
Abdul-Aziz Ibn Musah
Keyword(s):  
Structural Equation ◽  
Resistance To Change ◽  
Wearable Devices ◽  
Sub Saharan Africa ◽  
Equation Modeling ◽  
P Value ◽  
Extended Model ◽  
Unified Theory ◽  
Factors Affecting ◽  
Use Of Technology

Purpose: This study aims to examine the factors affecting caregivers’ acceptance of the use of wearable devices by patients with dementia by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model with 2 additional constructs: resistance to change (RC) and technology anxiety (TA). Methods: A structured online questionnaire was developed and distributed to caregivers who have either dealt previously with or were currently taking care of patients with dementia in sub-Saharan Africa. The selection of countries for the study was purely based on the availability of caregivers of patients with dementia and their readiness to take part in the survey. Questionnaire data from 350 respondents were analyzed and the hypothesis tested using partial least squares based on structural equation modeling. Result: The results of the extended model show that social influence, effort expectancy, facilitating conditions, and behavioral intention (BI) all had P < .05, thus were statistically significant in explaining the perceived BI and actual use of health-care wearable devices among patients with dementia as reported by caregivers. However, P value for RC and TA was greater than .05, hence were insignificant.

scholarly journals Enhancing Smart System Platforms; Factors Affecting People's Intentions toward Smart Homes in Jordan

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Social Life ◽  
Structural Equation ◽  
Best Practice ◽  
Descriptive Analysis ◽  
Modern Society ◽  
Equation Modeling ◽  
Intention To Use ◽  
Factors Affecting ◽  
Smart Systems ◽  
The Social

Smart systems are going to transform the social life of modern society. Notwithstanding the benefits of these systems, its use is still low in developing world including Jordan. This study aims to construct a novel model to identify the factors that affect people’s intention to use smart systems in their homes. A survey was conducted on 650 individuals among which 550 valid questionnaires were considered in Jordan. The collected data were analyzed for descriptive analysis and further to valid the hypothesis using Structural Equation Modeling. The findings showed that there is a significant relationship between individuals’ attitudes related to PU and PEOU with their intention toward using smart systems in their lifestyle. It indicated that the research model explains 68.6% of the variance in the individual’s intention to use smart systems in their residence. Practically, it fruitful to the top management of IT companies that offers smart systems. Moreover, enhancing the current systems and organizing a strategic plan for implementation within best practice.

scholarly journals Exploratory Factors Influencing Building Development Costs in New Zealand Using SEM

2017 ◽  
Author(s):  
Linlin Zhao ◽  
Jasper Mbachu ◽  
Niluka Domingo
Keyword(s):  
New Zealand ◽  
Construction Industry ◽  
Structural Equation ◽  
Economic Factor ◽  
Equation Modeling ◽  
P Value ◽  
Property Market ◽  
Factors Affecting ◽  
Development Costs ◽  
Major Factors

Identification of costs drivers and their influence level on building development costs play a key role in the development of construction models and improve the efficiency and effectiveness of any project. Forty-five indicators influencing building development costs in New Zealand are explored by literature review and pilot interviews. These indicators are grouped into seven categories. The determination and ranking of the cost drivers are carried out by a questionnaire survey distributed to key professionals working in New Zealand&rsquo;s construction industry. Structural equation modeling (SEM) software was employed for analysis of the collected data. One of the key advantages of this powerful software is to provide the p-value according to the structure of the research model. Findings of this study indicate that the property market and construction industry factor, statutory and regulatory factor, and socio-economic factor are major factors affecting building development costs in New Zealand.

scholarly journals FACTORS AFFECTING TEACHERS’ TECHNOLOGICAL PEDAGOGICAL AND CONTENT KNOWLEDGE (A SURVEY ON ECONOMICS TEACHER KNOWLEDGE)

2021 ◽  
Vol 40 (1) ◽  
pp. 1-16
Author(s):  
Janah Sojanah ◽  
Suwatno Suwatno ◽  
Kodri Kodri ◽  
Amir Machmud
Keyword(s):  
Content Knowledge ◽  
Self Efficacy ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Teaching Experience ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Instrument Validity ◽  
Positive Effects

This study was conducted due to the lack of teachers’ Technological Pedagogical and Content Knowledge (TPACK). It examined the effects of teaching experience, training, facilities and infrastructure, self-efficacy, as well as motivation on teachers’ TPACK. The descriptive and explanatory methods with quantitative approaches were employed. The population of this study included 472 economics teachers in the Greater Bandung area, while the respondents were 217 economics teachers selected using the proportional probability sampling technique. The instrument used to collect the data was tried out to forty economics teachers. The instrument validity was measured using the CVR formula, and the instrument reliability was tested using construct reliability. The data were collected by means of questionnaires and then analyzed using descriptive analysis and Structural Equation Modeling (SEM). The results show that the teachers’ experience, training, facilities and infrastructure, self-efficacy, as well as motivation are at a low level. Likewise, the teachers’ TPACK seems to be low. Moreover, it is found that teaching experience, training, facilities and infrastructure, self-efficacy, as well as motivation have positive effects on teachers’ TPACK.

Factors Affecting Nurses’workplace Stress Inyowari Hospital Of Sentani District Jayapura

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Mina Blandina Ayomi
Keyword(s):  
Work Stress ◽  
Structural Equation ◽  
Univariate Analysis ◽  
Coping Mechanisms ◽  
Equation Modeling ◽  
Bivariate Analysis ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Factors Affecting

<p align="center"><strong>ABSTRACT</strong></p><p>Work stress is distress experienced by individuals in the face of work caused by the stressors of work environment factors such as physical environment, organizational systems and individuals. The research objective was to determine what factors are causing stress in nurses who work in Hospital. This research used <em>explanatory research</em> with <em>cross sectional </em>approach. These samples included 55 nurses in hospitalization ward. The instrument of this study is a questionnaire. The data were analyzed using descriptive statistics, bivariate analysis using <em>chi square test, </em>and multivariate analysis using <em>Structural Equation Modeling (SEM).</em>The results of univariate analysis showed that the nurses stress of 61.8% found in the characteristics of the age of 21-40 years (87.3%), female (85.5%) education level Diploma Nurses (74.5%), has a work period ≤ 5 years (60.0%), the status of civil servants (54.5%), were married (76.4%), and working in the internal ward (30.9%), with a personality type extrovert (70.9%). The level of stress is often the case that <em>self esteem</em> (87.3%), despair and a sense of worthlessness (80%), success (72.7%) and interest (72.7%). The bivariate analysis showed that, Stressors that significant with stress were: support, organization, interaction with the <em>p-value</em> (0.012 &lt;0.05). The coping mechanisms were social support as an emotional reason the value of <em>p-value</em>(0.040 &lt;0.05).The closeness to the religious <em>p-value</em>(0.002 &lt;0.05) significantly between closeness to religion with work stress. The most factors that have an effect on the coping mechanisms <em>Equtional Modeling Structural</em> testing with loading value of 0.598 and 7.798 correlated, which means that the coping mechanisms 7 times have influence to reduce stress in the workplace.</p>

Factors Affecting the Use and Consequences of Management Accounting Practices in A Transitional Economy: The Case of Vietnam

2016 ◽  
pp. 54-73 ◽  
Author(s):  
Anh Doan Ngoc Phi
Keyword(s):  
Significant Influence ◽  
Quantitative Data ◽  
Structural Equation ◽  
Qualitative Data ◽  
Management Accounting ◽  
Transitional Economy ◽  
Equation Modeling ◽  
Enterprise Performance ◽  
Factors Affecting

This study seeks to help fill an important gap in the literature by investigating factors that have facilitated the use of management accounting practices (MAPs) in Vietnam - a transitional economy. Data were collected from 220 medium-to-large enterprises. Follow-up interviews were conducted with 20 accounting heads/vice heads to obtain further information and clarification. The quantitative data collected was analyzed using both descriptive and inferential statistics (including t-tests and structural equation modeling), while the qualitative data was used to shed further light on the various relationships described by the quantitative analysis. This paper reveals that both decentralization and competition have a positive, significant influence on the use of new MAPs except for the old ones. Consequently, the use of MAPs has a positive, significant influence on enterprise performance.

scholarly journals Mental Health of Refugees and Migrants during the COVID-19 Pandemic: The Role of Experienced Discrimination and Daily Stressors

2021 ◽  
Vol 18 (12) ◽  
pp. 6354
Author(s):  
Eva Spiritus-Beerden ◽  
An Verelst ◽  
Ines Devlieger ◽  
Nina Langer Primdahl ◽  
Fábio Botelho Guedes ◽  
...  
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Health Impact ◽  
Equation Modeling ◽  
Daily Stressors ◽  
Health Crisis ◽  
The Impact ◽  
Migrant Groups

The COVID-19 pandemic is a defining global health crisis of our time. While the impact of COVID-19, including its mental health impact, is increasingly being documented, there remain important gaps regarding the specific consequences of the pandemic on particular population groups, including refugees and migrants. This study aims to uncover the impact of the COVID-19 pandemic on the mental health of refugees and migrants worldwide, disentangling the possible role of social and daily stressors, i.e., experiences of discrimination and daily living conditions. Descriptive analysis and structural equation modeling were used to analyze the responses of N = 20,742 refugees and migrants on the self-reporting global ApartTogether survey. Survey findings indicated that the mental health of refugees and migrants during the COVID-19 pandemic was significantly impacted, particularly for certain subgroups, (i.e., insecure housing situation and residence status, older respondents, and females) who reported experiencing higher levels of increased discrimination and increases in daily life stressors. There is a need to recognize the detrimental mental health impact of the COVID-19 pandemic on particular refugee and migrant groups and to develop interventions that target their unique needs.

Consumer behaviour towards willingness to pay for Halal products

2019 ◽  
Vol 121 (2) ◽  
pp. 492-504 ◽  
Author(s):  
Waqar Ahmed ◽  
Arsalan Najmi ◽  
Hafiz Muhammad Faizan ◽  
Shaharyar Ahmed
Keyword(s):  
Willingness To Pay ◽  
Structural Equation ◽  
Quantitative Research ◽  
Reasoned Action ◽  
Raw Material ◽  
Equation Modeling ◽  
Muslim Country ◽  
Policy Makers ◽  
Content Type ◽  
Factors Affecting

PurposeThe purpose of this paper is to empirically analyze the factors affecting Muslim consumers’ willingness to pay (WTP) for Halal food, products and operations by employing theory of reasoned action.Design/methodology/approachThis study has used quantitative research methodology and collected data from 350 questionnaires from a densely populated city of Pakistan. Partial least squares-structural equation modeling was used to analyze the data.FindingsThe results show that the concerns about Halal, religiosity, perception of usefulness of Halal and product ingredients have a significant impact on WTP for Halal foods, while attitude has an insignificant impact on WTP. Moreover, the extent of demand for Halal certification is significantly affected by WTP.Originality/valueThe study highlighted the concerns of the Muslim consumers with respect to Halalness of the products and operations despite living in a Muslim country. It is recommended that the policy makers, food authorities and health institutions should conduct regular inspections of foods, products and producers’/manufacturers’ operations to ensure that all the procedures from manufacturing of the raw material till the finished goods follow Islamic principles to make them completely Halal.

scholarly journals The Identification of Factors Affecting the Use of Pressurized Irrigation Systems by Farmers in Iran

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1532 ◽  
Author(s):  
Abdullah Momvandi ◽  
Maryam Omidi Najafabadi ◽  
Jamal Hosseini ◽  
Farhad Lashgarara
Keyword(s):  
Structural Equation ◽  
Agricultural Sector ◽  
Water Productivity ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Mixed Method Research ◽  
Statistical Research ◽  
Irrigation Systems ◽  
Factors Affecting ◽  
Pressurized Irrigation

Climate change and water scarcity are the most important challenges of the agricultural sector, and pressurized irrigation systems (PISs) are one of the most significant ways to improve agricultural water productivity. The main purpose of this research was to identify the factors affecting the use of PISs by farmers. The statistical research population was a total of 2396 Iranian model farmers. The Cochran formula was used to determine the number of statistical samples. Accordingly, this comprised 331 people. The methodology of the study was mixed method research. The structural equation modeling technique, Mann–Whitney U, and Kruskal–Wallis tests were used to test the hypotheses. The results showed that the personal characteristics, tendency, attitude, self-efficacy, subjective norms, governmental support, environmental tensions, and technological features were the most important factors which influenced the farmers. It was found that all of these variables had a positive and significant relationship with the using of PISs by farmers, and they were able to predict 52% of the behavioral changes (R2) of the farmers. Among these variables, the attitude, with a path coefficient (β) of 0.48, had the highest impact on the using of PISs by the farmers.

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