scholarly journals Analysis of the Job Satisfaction Index Problem by Using Fuzzy Inference

2016 ◽  
Vol 102 ◽  
pp. 45-50 ◽  
Author(s):  
T. Saner ◽  
Latafat A. Gardashova ◽  
Rashad A. Allahverdiyev ◽  
Serife Z. Eyupoglu
1951 ◽  
Author(s):  
Arthur H. Brayfield ◽  
Harold F. Rothe

Author(s):  
Eglė Slabšinskienė ◽  
Andrej Gorelik ◽  
Aistė Kavaliauskienė ◽  
Apolinaras Zaborskis

Although burnout has been described as a serious hazard for personal and professional lives and has been surveyed among dentists in many countries, no study has been published regarding burnout among dentists in Lithuania. This study aimed to evaluate the burnout level among Lithuanian dentists and its association with demographic variables, job satisfaction, and other job-related variables. The data were collected among dentists online or during professional conferences while using an anonymous questionnaire (n = 380). The Maslach Burnout Inventory (MBI) was used to evaluate the burnout level. A Poisson regression was applied for the analysis of relationships between variables. We observed that 42.3% of the respondents had a high emotional exhaustion (EE) (95% confidence interval (CI): 37.4–42.3%), while 18.7% (95% CI: 15.0–22.9%) and 28,2% (95% CI: 23.4–32.6%) had high depersonalization (DP) and low personal accomplishment (PA), respectively. Nonetheless, 15.3% (95% CI: 11.8–18.9%) of the study population experienced a high level of overall burnout. An original job satisfaction index was elaborated. It was significantly associated with sum scores of all burnout dimensions: with the EE sum score (Ratio of Sum Score Means (RSSM) 1.54; 95% CI: 1.46–1.62), DP sum score (RSSM 1.59; 95% CI: 1.45–1.74), and PA sum score (RSSM 0.88; 95% CI: 0.84–0.92). It was concluded that Lithuanian dentists can be characterised by high burnout intensity and high prevalence of burnout, being especially evident in emotional exhaustion. The dentist with low job satisfaction appeared to be the most vulnerable to all burnout dimensions.


2015 ◽  
Author(s):  
William Terrill ◽  
Eugene A. Paoline

2020 ◽  
Vol 2 (1) ◽  
pp. 18-25
Author(s):  
Szymon T. Dziuba ◽  
Manuela Ingaldi ◽  
Marina Zhuravskaya

AbstractJob satisfaction has a big impact on how an employee performs his job. Both elements have an impact on job safety and employee perception of it. A satisfied employee devotes himself to work, performs orders better, cares for others and for himself. He feels safe in the enterprise. The aim of the paper was to assess employees' job satisfaction and their work performance with use of simply survey. In order to achieve this aim, a survey was conducted among employees of a chosen metallurgical enterprise who were asked to assess level of their job satisfaction. The employees defined their job satisfaction by referring to 20 statements describing this satisfaction and evaluating three factors that were used to compute the satisfaction index. The survey allowed for indication the general level of employee satisfaction.


2014 ◽  
Vol 3 ◽  
pp. 80
Author(s):  
Apostolos Sotiriou ◽  
George Iordanidis

Στόχος της παρούσας έρευνας ήταν να διερευνήσει τις σχέσεις της επαγγελματικής ικανοποίησης των δασκάλων με το κλίμα που επικρατεί στο σχολείο τους, όπως το αντιλαμβάνονται οι ίδιοι οι δάσκαλοι. Επίσης, στους στόχους της έρευνας ήταν να διερευνήσει και τις επιδράσεις που ασκούν το φύλο και η επαγγελματική εμπειρία των δασκάλων στη διαμόρφωση της επαγγελματικής ικανοποίησής τους και του σχολικού κλίματος. Το δείγμα της έρευνας αποτέλεσαν 209 δάσκαλοι και δασκάλες. Η μέτρηση της επαγγελματικής ικανοποίησης έγινε με το Job Satisfaction Index. Η μέτρηση του σχολικού κλίματος έγινε με το Revised School Level Environment Questionnaire. Η επαγγελματική εμπειρία των δασκάλων μετρήθηκε με βάση τα έτη υπηρεσίας τους. Τα αποτελέσματα έδειξαν ότι η επαγγελματική ικανοποίηση των δασκάλων συσχετίζεται και με το κλίμα του σχολείου τους. Επίσης, από τα αποτελέσματα φάνηκε ότι το φύλο δεν αποτελεί σημαντικό παράγοντα διαφοροποίησης της επαγγελματικής ικανοποίησης, αλλά διαφοροποιεί σε κάποιο βαθμό ορισμένες μεταβλητές του σχολικού κλίματος. Τέλος, η επαγγελματική εμπειρία φάνηκε ότι αποτελεί σημαντικό παράγοντα διαφοροποίησης της επαγγελματικής ικανοποίησης των δασκάλων αλλά και των περισσοτέρων μεταβλητών του σχολικού κλίματος.


2016 ◽  
Vol 13 (2) ◽  
pp. 3354 ◽  
Author(s):  
Yurdanur Ural Uslan

This research aims to assess whether the public employees' job satisfaction, life satisfaction and level of burnout differentiate by some demographic variables. Besides, the research addresses the correlations among the job satisfaction, life satisfaction and level of burnout of the public employees. The research's units of analysis are the 436 public staff that perform their duties in Kilis province center and the connected towns. Minnesota Job Satisfaction Index, Life Satisfaction Index, Maslach Burnout Index and Personal Information Form are used as the data collection tools. Explanatory factor analysis and cronbach's alpha analysis are utilized to identify validity and reliability of the sub-dimensions of the burnout and job satisfaction. Mann-Whitney U test and Kruskal Wallis test are conducted in the data analysis. In addition, the significance test among the variables are analyzed by the Spearman Rank Correlation technic. The research findings are; a positive correlation between job satisfaction and life satisfaction and a negative correlation between burnout variable with both job satisfaction and life satisfaction. A significant differentiation is also observed in the public employees' job satisfaction, life satisfaction and burnout levels in accordance with their changing demographic variables. ÖzetBu araştırma kamu çalışanlarının iş doyumları, yaşam doyumları ve tükenmişlik düzeylerinin bazı demografik değişkenlere göre faklılaşıp farklılaşmadığını incelemek amacıyla yapılmıştır. Ayrıca araştırma kamu çalışanlarının iş doyumları, yaşam doyumları ve tükenmişlikleri arasındaki ilişkiyi ele almaktadır. Araştırma Kilis ili merkezinde ve ilçelerinde görev yapan 436 kamu çalışanından oluşmaktadır. Veri toplama aracı olarak, Minnesota İş Doyumu Ölçeği, Yaşam Doyumu Ölçeği, Maslach Tükenmişlik Ölçeği ve Kişisel Bilgi Formu Kullanılmıştır. Tükenmişlik ve iş doyumu ile ilgili alt boyutların geçerlilik ve güvenirliğini belirlemek için açıklayıcı faktör analizi ve cronbach’salpha analizi yapılmıştır. Elde edilen verilerin analizinde  Mann-Whitney U testi, Kruskal Wallis testi kullanılmıştır. Ayrıca değişkenler arasında anlamlı bir ilişkinin olup olmadığı Spearman Sıra Korelasyonu tekniği ile analiz edilmiştir. Araştırma sonunda, iş doyumu ve yaşam doyumu arasında pozitif yönlü, tükenmişlik ile iş doyumu ve yaşam doyumu arasında negatif yönlü bir ilişki olduğu saptanmıştır. Kamu çalışanlarının iş doyumları, yaşam doyumları ve tükenmişliklerinde demografik değişkenlere göre anlamlı düzeyde farklılaşma görülmüştür.


Author(s):  
Syamala Devi Bhoganadam ◽  
Dasaraju Srinivasa Rao ◽  
A. Mahesh Reddy ◽  
S. K. Malina

Employees are considered as real assets for any organization in the modern economy because modern organizations believe that due to globalization employee retention is a major problem hence employees are treated as real assets for the organizations. Once employees are satisfied with the organization then employee retention takes place. Employee satisfaction is linked with employee job satisfaction. So this study concentrates on factors determining employee job satisfaction at Balaji Agencies and Industries. The main objective of the study is to determine the factors influencing job satisfaction of employees at Balaji Agencies and Industries. The other objectives were to calculate the Job Satisfaction Index (JSI) and to find the relationship between the personal factors and job satisfaction of employees. Data were collected from 53 employees at Balaji Agencies and Industries at Nellore. Data were analyzed using chi square analysis. The findings of the study reveal that there is no relationship between age, gender, educational qualification of employee and experience to the job satisfaction. It may be in relation with some other factors which are included in the study considered for scope of future research.


2019 ◽  
Vol 5 (1) ◽  
pp. 43
Author(s):  
Rizman Rifqie ◽  
Astriana Prama Shinta

   Job satisfaction is an emotional attitude of fun and loved his work, and thus will reflect the attitude of discipline and work performance. Satisfaction is a combination of inside and outside the company that reflects the balance between the remuneration to be received by the execution of his work. Employee productivity also related to the right of labor to obtain the potential development opportunities that exist in self-employees in accordance with the capabilities (education) and experience in order to increase its productivity. By knowing satisfaction and job stress of employees by the company it is expected that employye productivity can be measured.    The results show the following (1) Index based on the work kepusasan satisfaction index score of 51.51 the respondent’s answer has categorized job satisfaction of employees in PT. Jessindo Prakarsa satisfied (2) stress index based on the stress index value of 63.38 then categorized the respondent’s answers have the stress of employees in PT. jessindo Prakarsa in very high. (3) the productivity of employees is measured by pencapian sales targets set by the company to each of the sales force in August 2008. With the scale realization of the sales of each salesperson is used to calculate the productivity level of each individual in the marketing of PT. Jessindo Prakarsa, average labor productivity of the marketing department employee in August 2008 amounted to 72.38% (considered good).    Effect of stress on job satisfaction and work productivity at PT. Jessindo Prakarsa, with a sig value of 0.004 <a = 0.05 in other words there is the influence of job satisfaction and stress together on the level of productivity at PT Jessindo Prakarsa


SIMULATION ◽  
2017 ◽  
Vol 94 (4) ◽  
pp. 341-358 ◽  
Author(s):  
Peyman Rabiei ◽  
Daniel Arias-Aranda

The relationship between organizational commitment and job satisfaction has received plenty of attention in the literature. However, similar studies in growing economies are scarce. The objective of this study is to cover such a gap by introducing an intelligent algorithm for predicting organizational commitment considering job satisfaction as well as comparing its performance to conventional Multiple Linear Regression (MLR). In doing so, data was collected by distributing questionnaires among 200 employees from the food industry in Shiraz (Iran), which represents one of the most dynamic economies of the country. A 73% response rate was achieved. The respondents completed the questionnaire, which assessed six dimensions of job satisfaction (satisfaction with supervision, overall job, company policy and support, promotion and advancement, pay, and coworkers) and organizational commitment. Using MLR, the results indicated that workers’ had higher satisfaction with overall job, company policy and support, and coworkers, bringing about significantly higher employees’ organizational commitment level. An Adaptive Network-based Fuzzy Inference System (ANFIS) is also developed and tested for the purpose of this study to predict organizational commitment level based on different levels of job satisfaction. Comparing the results obtained from ANFIS and MLR shows that the proposed intelligent algorithm has better performance than conventional MLR and predicts organizational commitment more accurately, based on their root mean square error values (RMSE). A simulation model based on the rules learned by the ANFIS algorithm is also presented to simulate the organizational commitment level of employees by establishing their position on various indexes of job satisfaction. This model can help managers to achieve higher levels of employees’ organizational commitment, since the main aspects of job satisfaction that need more focus are simulated. Different scenarios and situations could be simulated by this system, which is a main contribution of the current work. In terms of presenting an intelligent algorithm in order to predict organizational commitment level based on job satisfaction in food industrial companies, this study is pioneering among other studies.


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