scholarly journals Impact of Working Environment on Job Satisfaction: Findings from a Survey of Japanese Dental Hygienists

2021 ◽  
Vol 18 (6) ◽  
pp. 3200
Author(s):  
Ayako Okada ◽  
Yuki Ohara ◽  
Yuko Yamamoto ◽  
Yoshiaki Nomura ◽  
Noriyasu Hosoya ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Working Environment ◽  
Equation Modeling ◽  
Job Retention ◽  
Dental Hygienists ◽  
Working Environments ◽  
High Level

In Japan, there is currently a shortage of dental hygienists. The number of dental hygienists as a workforce at dental clinical practice is not sufficient. Several factors affect career retention and job satisfaction of hygienists and these factors are considered to correlate with each other to construct networks. The aim of this study was to present a structural model of job satisfaction of Japanese dental hygienists and to determine the characteristics of unmotivated hygienists. The Japan Dental Hygienists’ Association has conducted a survey on their working environments every five years since 1981. Questionnaires were sent to all members of the association (16,113) and 8932 answers were returned. The data of 3807 active dental hygienists who worked at clinics were analyzed. Items associated with job satisfaction were derived from two latent variables, namely, the intrinsic psychosocial factors for the value of the work and extrinsic employment advantage. Based on the structural equation modeling, the association of value was higher than that of advantage. Most of the hygienists wished to continue working as dental hygienists. More than 60% felt their work required a high level of expertise. The value of the profession is deeply rooted in job satisfaction, motivation, and job retention of Japanese dental hygienists. Working environments where dental hygienists make great use of their specialized skills can lead to high career retention which prevent them from taking career breaks.

scholarly journals Factors influencing job satisfaction among dentists during the new normal of the COVID-19 pandemic in Indonesia: A structural equation modeling approach

Work ◽  
2021 ◽  
pp. 1-12
Author(s):  
Yogi Tri Prasetyo ◽  
Titis Maulanti ◽  
Satria Fadil Persada ◽  
Anak Agung Ngurah Perwira Redi ◽  
Michael Nayat Young ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Job Stress ◽  
Personal Protective Equipment ◽  
Latent Variables ◽  
Structural Equation ◽  
Working Hours ◽  
Equation Modeling ◽  
Protective Equipment ◽  
Perceived Severity ◽  
Management Commitment

BACKGROUND: Dentistry is one of the highest risk occupations that face COVID-19, especially in countries that are severely affected by the pandemic, such as Indonesia. OBJECTIVE: The purpose of the study was to determine factors influencing job satisfaction among dentists during the new normal of COVID-19 pandemic in Indonesia by utilizing the Structural Equation Modeling (SEM) approach. METHODS: A total of 310 Indonesian dentists voluntary completed an online questionnaire, which contained 58 questions. Several latent variables such as perceived severity of COVID-19, staff cooperation and management commitment, personal protective equipment, job stress, working hours, income, and overall job satisfaction were analyzed simultaneously. RESULTS: SEM revealed perceived severity of COVID-19 had significant effects on job stress (β:0.394, p = 0.025) and the utilization of personal protective equipment (β:0.757, p = 0.001). Subsequently, job stress (β:–0.286, p = 0.001), working hours (β:0.278, p = 0.018), income (β:0.273, p = 0.003), personal protective equipment (β:0.145, p = 0.038), and staff cooperation & management commitment (β:0.091, p = 0.002) were found to have significant effects on overall job satisfaction. In addition, management & staff cooperation was found to have a significant association with job stress reduction (β:–0.319, p = 0.003) which subsequently led to higher satisfaction. CONCLUSIONS: The current study is one of the first that analyzed job satisfaction among dentists in Indonesia during the global COVID-19 pandemic. The integrated latent variables can be applied and extended to evaluate job satisfaction among dentists during the COVID-19 pandemic in other countries. Finally, this study contributed as a theoretical foundation for policymakers to enhance the job satisfaction of dentists during the COVID-19 pandemic.

scholarly journals The Effect of Organizational Culture on Lecturers’ Organizational Commitment in Private Universities in Indonesia

2019 ◽  
Vol 9 (2) ◽  
pp. 16 ◽  
Author(s):  
Furtasan Ali Yusuf
Keyword(s):  
Job Satisfaction ◽  
Organizational Culture ◽  
Organizational Commitment ◽  
Structural Equation ◽  
Working Environment ◽  
Equation Modeling ◽  
University Environment ◽  
Tertiary Institutions ◽  
Object Of Study ◽  
The University

In rigorous and competitive working environment, higher education institutions  require a strong and supportive organizational basis. This study seeks to analyze the influence of organizational fundamentals of organizational culture on organizational commitment, job satisfaction, and the trust of lecturers as employees in tertiary institutions. This study is a quantitative study with the object of study in universities in Serang Banten, Indonesia. By using LISREL as the basis of structural equation modeling (SEM), the results show that organizational culture has a positive effect on organizational commitment, job satisfaction, and lecturer trust in the university environment. The implication is that a good and conducive organizational culture in tertiary institutions enables organizational members to build their integrity, competence, consistency and loyalty towards the tertiary organization. This condition can occur because of the existence of a conducive organizational culture, it will encourage members of the organization to actualize positive values in the organization, including the values contained in trust, such as integrity, competence, consistency and loyalty.

scholarly journals The Influence of Employee Promotion, Upward Downward Communication and Work Environment on Job Satisfaction of PT. Holcim Indonesia, Tbk

2019 ◽  
Author(s):  
Albert Yansen ◽  
Yetti Supriyati ◽  
Kadir .
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Work Environment ◽  
Questionnaire Survey ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Influence ◽  
The Other ◽  
Equation Modeling ◽  
Survey Questionnaire

Research was conducted to explore job satisfaction of employee in PT. Holcim Indonesia,Tbk.Thisstudycoveredforpermanentemployee.Thepurposeofthispaper is to investigate whether employee promotion, upward downward communication and work environment influences the job satisfaction of PT. Holcim Indonesia, Tbk. This paper is based on a questionnaire survey of all employee position (manager and non-manager) in all plant of Indonesia with a random sample of 225 employees, and the method of analysis used is the frequency distribution and path analysis. The Data was collected through a self-administered survey questionnaire. The questionnaire is adopted from a previous validated survey. The data was analyzed using structural equation modeling (SEM) with Smart PLS. The results showed that among seven hypotheses tested, all variables have the positive influence, however, there are two latent variables which have direct significant associations, while the others have not. A variable which have indirect significant associations, while the other one has not. WorkEnvironmenthavedirectpositiveandsignificantinfluenceonthejobsatisfaction, while employee promotion and upward downward communication have a direct positiveinfluencebutnotsignificant.Otherwise,both employee promotion and upward downward communication have an indirect positive influence on the job satisfaction with intervening variable (work environment). The study provides ways to increase the job satisfaction of all employees so that they will be able to produce reliable company performances.

scholarly journals Welfare and Wealth in Iran: Rural and Urban Dichotomies

2019 ◽  
Author(s):  
Sediqe Shafiei ◽  
Shahram Yazdani ◽  
A Hamid Zafarmand ◽  
Mohammad-Pooyan Jadidfard ◽  
sareh Shakerian
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban ◽  
Effective Policy ◽  
Relationship Of

Abstract Objective : Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other , as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Results : The Structural Equation Modeling ( SEM ) method was used to analyze the data and investigate the causal relationship of latent variables. Observed variables and latent variables of the model were analyzed and tested by using AMOS and SPSS (version 21) statistical methods, in two exploratory and confirmatory steps. Wealth and welfare were identified as two separate subjects in the conceptual model and in the final structural model for rural households. Unlike, in the urban community, they were recognized as a single category in the final structural model. The results of this study can provide the clear hints for effective policy making to break the cycle of deprivation and poverty in Iranian rural and urban population.

Analisis Faktor-Faktor yang Mempengaruhi Prestasi Mahasiswa Departemen Statistika IPB menggunakan Metode SEM-PLS

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Zunita Sari ◽  
Muhammad Nur Aidi ◽  
La Ode Abdul Rahman
Keyword(s):  
Student Achievement ◽  
Learning Style ◽  
Latent Variables ◽  
Structural Equation ◽  
Visual Learning ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
High Level ◽  
Pls Method

Education is improving human power. Education is divided into three level namely primary, secondary and high level education. High level education can be obtained from University. University as one of high level education, is a formal education place for all studying and teaching activities, research, community service and develop scientific student to become qualified workforce. Student achievement in universities is influenced by various factors that cannot be measured both direct and indirect. The method that is used to determine those factors is structural equation modeling (PPS) with partial least square (PLS) method. PPS with PLS method used when there are some assumptions on diverse PPS which is not fullfiled, like binormal distribution and the big ammount of examples. The results showed that the six exogenous latent variables (family background, motivation, environment, visual learning style, auditory learning style, and kinesthetic learning style) did not have a significant influence on endogenous variables (student achievement). The model used in this study has a R2 value 14.1%. This values ​​indicates that the model built is still weak in explaining the diversity of student achievement.

MODELING OF SEA SURFACE TEMPERATURE BASED ON PARTIAL LEAST SQUARE - STRUCTURAL EQUATION

2021 ◽  
Vol 14 (2) ◽  
pp. 170-182
Author(s):  
Miftahuddin Miftahuddin ◽  
Retno Wahyuni Putri ◽  
Ichsan Setiawan ◽  
Rina Suryani Oktari
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Partial Least Square ◽  
Least Square ◽  
Sea Surface ◽  
Equation Modeling

Variability of Sea Surface Temperature (SST) is one of the climatic features that influence global and regional climate dynamics. Missing data (gaps) in the SST dataset are worth investigating since they may statistically alter the value of the SST change. The partial least square-structural equation modeling (PLS-SEM) approach is used in this work to estimate the causality relationships between exogenous and endogenous latent variables. The findings of this study, which are significant indicators that have a loading factor value > 0.7 are as follows: i) sea surface temperature (oC) as a measure of the latent variable changes in SST, ii) wind speed (m/s) and relative humidity (%) as a measure of the latent variable of weather, and iii) air temperature (oC), long-wave solar radiation (w/m2) as a measure of climate latent variables. The size of the Rsquare value is influenced by the number of gaps. The results of the boostrapping show that the latent variables of weather and climate have a significant effect on changes in SST which are indicated by the value of tstatistics > ttabel. The structural model obtained Changes in SST (η) = -0.330 weather + 0.793 climate + ζ. The model shows that the weather has a negative coefficient, which means that the better the weather conditions, the lower the SST changes. Climate has a positive coefficient, which means that the better the climate, the SST changes will also increase. Rising sea surface temperatures caused by an increase in climate can lead to global warming, impacting El-Nino and La-Nina events.

scholarly journals Improvement of Workplace Environment That Affects Motivation of Japanese Dental Hygienists

2021 ◽  
Vol 18 (3) ◽  
pp. 1309
Author(s):  
Yuko Yamamoto ◽  
Yoshiaki Nomura ◽  
Ayako Okada ◽  
Erika Kakuta ◽  
Naomi Yoshida ◽  
...  
Keyword(s):  
Working Conditions ◽  
Structural Equation ◽  
Work Motivation ◽  
Working Hours ◽  
Working Environment ◽  
Equation Modeling ◽  
Dental Hygienists ◽  
Workplace Environment ◽  
Work Volume ◽  
Association Response

Dental hygienists are in high demand due to insufficient workforce and a lack of an effective reinstatement support system. We investigated the reasons for willingness to work by analyzing the survey results of the employment status of Japanese dental hygienists conducted by Japan Dental Hygienists’ Association. In total, we mailed 16,113 questionnaires to all members of the association (response rate 53.4%). We carried out statistical analysis to determine the specific items to improve the hygienists’ working environment. Fourteen factors of working conditions that they wish to improve were determined. Structural equation modeling showed that a path, “Reduction of work volume”, “Reduction of working hours” and “Increased number of holidays” were higher than other items. A decision analysis demonstrated that most of the respondents answered “Yes” to “Improvement in working conditions including higher salary” out of those who answered, “Strongly disagree” for “Do you feel that dental hygienist work is rewarding?”. Improving workplace environment is integral to keeping high levels of work motivation and a low turnover rate. Most of the hygienists wish for a salary raise among all the conditions. The transition from conventional work styles to non-conventional flexible working patterns is needed.

scholarly journals Emotional Changes and Protective Factors of Emotional Workers in the Public and Private Sector

2020 ◽  
Vol 17 (7) ◽  
pp. 645-653
Author(s):  
Jongha Lee ◽  
Changsu Han ◽  
Young-Hoon Ko ◽  
June Kang ◽  
Youngmi Byun ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Emotional Labor ◽  
Structural Equation ◽  
Emotional State ◽  
Inverse Correlation ◽  
Workplace Stress ◽  
Working Environment ◽  
Public Institution ◽  
Equation Modeling ◽  
Negative Effect

Objective Emotional labor is known to be a risk factor for emotional distress. This study aimed to evaluate specific stressors according to the type of occupation and identify protective and adverse factors.Methods We recruited 349 workers engaged in emotional labor in a suburban city. They were assessed using scales regarding emotional status, job stress, resilience, and job satisfaction. Correlation and regression analyses were performed to evaluate their emotional state according to their stress level. A mediation model using structural equation modeling was utilized to identify the mediating effects of resilience and workplace satisfaction.Results The correlation analysis indicated that the level of workplace stress was statistically correlated with depressed mood and anxiety and showed a significant inverse correlation with individuals’ resilience and job satisfaction. According to the regression analysis, in private institution workers, “emotional disharmony and hurt” had a statistically significant negative effect on their emotional state, and in public institution workers, “emotional demands and regulation” were prominent. Resilience partially mediated the relationship between emotional stress and anxiety/depressive symptoms.Conclusion Our findings indicate that the causes of stress differed according to the working environment. Preventive strategies such as resilience training and relieving stress on individual factors are needed to promote mental health.

scholarly journals ANALISIS STRUCTURAL EQUATION MODELING (SEM) DENGAN MULTIPLE GROUP MENGGUNAKAN R

2019 ◽  
Vol 19 (2) ◽  
pp. 85
Author(s):  
Holipah Holipah ◽  
I Made Tirta ◽  
Dian Anggraeni
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Multiple Group ◽  
Indicator Variables ◽  
Group 2 ◽  
Homogeneous Data ◽  
Group 1

Structural Equation Model (SEM) is a statistical technique with simultaneous processing involves measurement errors, indicator variables, and latent variables. SEM is used to test hypotheses that state the relationships between latent variables when latent variables have been assessed through each of the indicator variables. Multiple Group SEM is a basic model analysis that uses more than one sample. This analysis aims to determine whether the components or models of measurement and structural models are invariant for the two sample groups. In this study, the data generated by some requirements. First, the data generated with sample size n = 250. The first generated data is homogeneous data where the measurement model is the same as the structural model in group 1 and group 2, while the second data is non-homogeneous data where the measurement model and the structural model in group 1 and group 2 is not the same. The data was analyzed using the help of the lavaan package available in R to obtain SEM estimation results and Goodness of Fit Model from some data that was formed. From the results of the merger of the two groups, it shows that the invariant of the two models with the largest df (63) which is Fit Mean model states the simplest model. However, the smallest df (48) with Fit.configural model states the most complex model. Keywords: SEM, Multiple Group, R Program

scholarly journals Satisfacción laboral en los tecnológicos nacionales de México de la región noreste: Un modelo de ecuaciones estructurales

2017 ◽  
Vol 12 (24) ◽  
Author(s):  
Juan Humberto Vela Quintero ◽  
Juan Rositas Martínez ◽  
José Fernando Hernández González
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Model ◽  
Working Environment ◽  
Nuevo Leon ◽  
Section Data ◽  
Nuevo León ◽  
Institutes Of Technology

Abstract: This research aims to determine information regarding the level of job satisfaction of the Mexican Institutes of Technology (TecNM.) in northeastern México with a structural equation model. The methodology designed to explain job satisfaction level consisted of a survey questioner with 37 questions applied to a sample of 485 professors and administrators from the National Institutes of Technology located in Tamaulipas Mexico (Cd. Victoria, Matamoros, Nuevo Laredo), Nuevo León (Linares City) and Coahuila (Saltillo). The sample was random, stratified, and structured with questions mostly using a Likert scale. Six fundamental hypotheses were formulated for testing a structural equation model with job satisfaction as dependent variable. A database of cross section data was created with the sample, and processed with a statistical data analysis software called SmartPLS V. 2.0 (M3). The results of the structural model show that two of the five constructs are highly relevant and statistically significant on their impact on job satisfaction and they refer to the benefits received by employees and the working environment we live in institutions. It is concluded generally that the perception we have in relation to variables that influence job satisfaction are not significant as we thinkKeywords: job satisfaction, region, structural equation modelJEL: M12, R23Resumen. La presente investigación tuvo como objetivo conocer información respecto al nivel de satisfacción laboral de los Tecnológicos Nacionales de México (TecNM.), de la región Noreste de México mediante un modelo de ecuaciones estructurales. La metodología para conocer la satisfacción laboral, consistió en realizar encuestas con 37 preguntas a una muestra de 485 catedráticos y administrativos de los Tecnológicos Nacionales de México ubicados en Tamaulipas (Cd. Victoria, Matamoros, Nuevo Laredo), Nuevo León (Tecnológicos de Linares y Nuevo León) y Coahuila (Saltillo). La aplicación de los mismos fue de carácter aleatorio, estratificado, y de forma estructurada con preguntas en su mayoría mediante una escala Likert. Se formularon 6 hipótesis que consideramos fundamentales. Para comprobar, se diseñó un modelo de ecuaciones estructurales con la satisfacción laboral como variable dependiente. Con los datos de las encuestas, se creó una base de datos de corte transversal que se introdujo al software especializado en análisis de datos estadísticos denominado Smart PLS V. 2.0 (M3). Los resultados del modelo estadístico presentan que, dos de cinco constructos están relacionados fuertemente con una alta significancia directamente a la satisfacción laboral y éstos refieren a los beneficios que reciben los empleados y el ambiente laboral que se vive en las instituciones. Se concluye de manera general que, contrariamente a lo que pudiera esperarse, la percepción como variable de influencia en la satisfacción laboral no es significativa.Palabras clave: modelo de ecuaciones estructurales, region, satisfacción laboral

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