scholarly journals Using kaizen to improve employee well-being: Results from two organizational intervention studies

2016 ◽  
Vol 70 (8) ◽  
pp. 966-993 ◽  
Author(s):  
Ulrica von Thiele Schwarz ◽  
Karina M Nielsen ◽  
Terese Stenfors-Hayes ◽  
Henna Hasson
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Intervention Studies ◽  
Intervention Group ◽  
Well Being ◽  
Realist Evaluation ◽  
Equation Modeling ◽  
Organizational Interventions ◽  
Participatory Intervention

Participatory intervention approaches that are embedded in existing organizational structures may improve the efficiency and effectiveness of organizational interventions, but concrete tools are lacking. In the present article, we use a realist evaluation approach to explore the role of kaizen, a lean tool for participatory continuous improvement, in improving employee well-being in two cluster-randomized, controlled participatory intervention studies. Case 1 is from the Danish Postal Service, where kaizen boards were used to implement action plans. The results of multi-group structural equation modeling showed that kaizen served as a mechanism that increased the level of awareness of and capacity to manage psychosocial issues, which, in turn, predicted increased job satisfaction and mental health. Case 2 is from a regional hospital in Sweden that integrated occupational health processes with a pre-existing kaizen system. Multi-group structural equation modeling revealed that, in the intervention group, kaizen work predicted better integration of organizational and employee objectives after 12 months, which, in turn, predicted increased job satisfaction and decreased discomfort at 24 months. The findings suggest that participatory and structured problem-solving approaches that are familiar and visual to employees can facilitate organizational interventions.

Work Life Balance and Job Satisfaction - A Structural Equation Modeling

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 156-162
Author(s):  
Dr. D. Shoba ◽  
Dr. G. Suganthi
Keyword(s):  
Job Satisfaction ◽  
Structural Equation ◽  
Well Being ◽  
Work Life ◽  
Work Life Balance ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Life Balance ◽  
Study Results

Work-Life balance has its importance from ancient days and the concept is very old, from the day the world has been created. There was a drastic change that has occurred in the market of teachers and their personal profiles. There are tremendous changes in various families which have bartered from the ‘breadwinner’ role of traditional men to single parent families and dual earning couples. This study furnishes an insight into work life balance and job satisfaction of teachers working in School of Villupuram District. The sample comprises of 75 school teachers from Government and private schools in Villupuram District. The Study results that there is increasing mediating evidence in Work-life balance as well as Job satisfaction of teachers are not affected by the type of school in which they are working. Job satisfaction or Pleasure of life will be affected as a whole by Work life balance of an individual which is the main which can be calculated by construct of subjective well being.

scholarly journals Doctors’ Job Satisfaction and Its Relationships With Doctor-Patient Relationship and Work-Family Conflict in China: A Structural Equation Modeling

2018 ◽  
Vol 55 ◽  
pp. 004695801879083 ◽  
Author(s):  
Shumin Deng ◽  
Ningxi Yang ◽  
Shiyue Li ◽  
Wei Wang ◽  
Hong Yan ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Family Conflict ◽  
Structural Equation ◽  
Hubei Province ◽  
Equation Modeling ◽  
Patient Relationship ◽  
Work Family Conflict ◽  
Doctor Patient Relationship ◽  
Work Family

The objective of this study was to evaluate the relationship of doctors’ job satisfaction with doctor-patient relationship and work-family conflict in China. The data came from a cross-sectional survey in Hubei province, which was part of China’s Fifth National Health Services Survey conducted in 2013. The survey in Hubei covered 54 secondary and tertiary general hospitals distributed in 20 counties. Of the 1080 questionnaires, 908 were included into our analysis. After surviving from reliability and validity tests, structural equation modeling was applied for further analysis with SPSS 20.0 and Mplus 7.0. The results showed that the average score of job satisfaction is 19.61 out of 30 points, indicating a relatively low level of doctors’ job satisfaction in Hubei province. Work-family conflict was found to have negative impact on doctors’ job satisfaction, and good doctor-patient relationship was found to have positive impact on their job satisfaction. Therefore, hospital administrators and policy makers should make effort to design and implement strategies that focus on meliorating doctor-patient relationship and balancing doctors’ work and family life to further improve their job satisfaction.

scholarly journals Explanation of Children’s Health through Parents’ Mental Health and Job Satisfaction by Structural Equation Modeling

2016 ◽  
Vol 9 (2) ◽  
pp. 166
Author(s):  
Majid Golzarpour ◽  
Meroe Vameghi ◽  
Homeira Sajjadi ◽  
Gholamreza Ghaedamini Harouni
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
General Health Questionnaire ◽  
Children's Health ◽  
Children’S Health ◽  
Equation Modeling ◽  
Health Questionnaire

<p><strong>BACKGROUND:</strong> Worldwide, much evidence exists on the influence of parents’ socioeconomic conditions, including employment, on children’s health. However, the mechanisms for this affect are still being investigated. Few studies have been conducted in Iran to investigate this issue. This study investigated working conditions, job satisfaction, and mental health of employed people and the association between these variables and their children’s health.<strong></strong></p><p><strong>MATERIALS &amp; METHODS:</strong> In this correlational work, 200 male and female staff of the official part of Educational Organization and the schools of Mashhad with children aged 5-18 years was randomly selected. The data were gathered using a demographic questionnaire, the 20-item Minnesota Job Satisfaction Questionnaire, the 28-item General Health Questionnaire, and the 28-item Child Health Questionnaire. The data were then analyzed using SPSS. The associations under study were investigated by structural equation modeling in AMOS.<strong></strong></p><p><strong>RESULTS:</strong> Approximately 17% of the variation in the parents’ job satisfaction could be explained by the parents’ insurance, income, and work hours; 6% of the variation in their mental health was explained by job satisfaction, and 26% of the variation in children’s health was directly explained by the parents’ job satisfaction and mental health. However, approximately 32.2% of the variation in children’s health could be explained in the light of the direct effect of the parents’ mental health and direct and indirect effects of the parents’ job satisfaction. The goodness of fit index was 0.94.</p><p><strong>CONCLUSION:</strong> Parents’ job satisfaction was associated with and considerably explained children’s health. Although this finding may be partially related to the job satisfaction effect on mental health, the reasons for the affect of job satisfaction on children’s health and the potential mechanisms of this association require further studies.<strong></strong></p>

Evaluating the Construct Validity of Ryff’s Scales of Psychological Well-Being Using Exploratory Structural Equation Modeling

2016 ◽  
Vol 35 (6) ◽  
pp. 633-638 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Tze-Li Hsu ◽  
KoFan Lee ◽  
Lori Wolff
Keyword(s):  
Structural Equation Modeling ◽  
Construct Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Well Being ◽  
The United States ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Psychological Well Being ◽  
Measurement Models

The purpose of this study was to evaluate the construct validity of Ryff’s Scales of Psychological Well-Being (SPWB) using exploratory structural equation modeling (ESEM). The data were drawn from the national survey of Midlife in the United States conducted during 1994 and 1995. Measurement models assuming different number of factors (1-6 factors) and considering the effect of negatively wording items were specified and compared to determine optimal number of underlying factors. The discriminant validity was assessed following Farrell’s suggestions. The results showed the discriminant validity was questionable due to five indicators with considerable cross-loadings.

scholarly journals Psychometric properties of the Italian version of the Experience in Close Relationship Scale 12 (ECR-12): an exploratory structural equation modeling study

2019 ◽  
Vol 22 (3) ◽  
Author(s):  
Agostino Brugnera ◽  
Cristina Zarbo ◽  
Benedetto Farina ◽  
Angelo Picardi ◽  
Andrea Greco ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Coping Strategies ◽  
Psychometric Properties ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Attachment Avoidance ◽  
Italian Version ◽  
Exploratory Structural Equation Modeling ◽  
Close Relationship

The Experiences in Close Relationship Scale (ECR) is one of the most commonly used self-report instruments of adult attachment and has been widely adopted in psychotherapy research. Composed of two subscales, namely Attachment Avoidance and Anxiety, the ECR was recently shortened to a 12-items version, called the ECR-12. Given the importance of extending knowledge on its applicability in understudied populations, our aim was to validate the ECR-12 in a large sample of Italian native-speakers. A total of 1197 participants (73.2% females; mean age=28.53±11.37 years) completed the ECR-12. Each participant also completed other measures of attachment, psychopathology, interpersonal distress, coping strategies, and well-being. An Exploratory Structural Equation Modeling analysis showed an excellent fit of the data, providing support for the two-dimensional orthogonal structure of the ECR-12. In addition, the measurement model was invariant across genders. Both attachment anxiety and attachment avoidance subscales demonstrated good internal reliability, with McDonald’s Omegas and Cronbach’s Alphas above the suggested 0.8 cut-off. Finally, the Italian version of ECR-12 showed adequate convergent, concurrent, and divergent validity. Highly anxious individuals reported the highest levels of maladaptive interpersonal functioning and coping strategies, resulting in lower well-being. Interestingly, both attachment insecurity dimensions predicted higher levels of psychopathology, even after controlling for demographic variables and levels of self-reported relational difficulties. Given the good psychometric properties of the ECR-12, researchers and practitioners in Italy are encouraged to adopt the ECR-12 in their future research on adult attachment in psychotherapy.

Organizational Commitment As Influenced by Leadership Behavior of Administrators, Job Satisfaction and Burnout of Teachers: A Structural Equation Modeling

10.17158/228 ◽  
2012 ◽  
Vol 18 (1) ◽  
Author(s):  
Felix C. Chavez, Jr.
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Structural Equation ◽  
Quantitative Research ◽  
Goodness Of Fit ◽  
Leadership Behavior ◽  
Stepwise Multiple Regression ◽  
Equation Modeling ◽  
Best Fit

This study was conducted to determine the best fit model of organizational commitment. Specifically, it established the interrelationship among leadership behavior, job satisfaction, burnout, and organizational commitment. Quantitative research design was utilized in this study. The data were gathered from the teachers among the randomly selected academic institutions in Region XI, Philippines. Moreover, sets of survey questionnaires were used as instruments to obtain information from the participants. Pearson product moment correlation was used to find the significance of the relationship between the independent and dependent variables. Stepwise multiple regression analysis was used to identify the variables that best predict organizational commitment and likewise Structural Equation Modeling was used to identify the model that best fits organizational commitment. The findings revealed that the over-all leadership behavior of administrators and organizational commitment of teachers were high. On the other hand, the job satisfaction of teachers was moderate and their degree of burnout was low. Furthermore, the leadership behavior, job satisfaction, and burnout were highly correlated with organizational commitment, and found to be significant predictors of organizational commitment. Finally, the best fit model of organizational commitment was the Hypothesized Model 5, which passed all the goodness of fit indices criteria.

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