İş ve yaşam tatmini arasındaki ilişki ye etki eden demografik değişkenler üzeri ne araştırma (bir uluslararası firma uygulaması)
Künye
Koç, Murat, Bir, Yonca.(2018).İş ve yaşam tatmini arasındaki ilişkiye etki eden demografik değişkenler üzerine araştırma (Bir uluslararası firma uygulaması). Multidisipliner Çalışmaları Kongresi, 357-372.Özet
Ensuring the work-life balance of employees is too important
for organizations. Work-life balance which is the same meaning the level
of job and life satisfaction of individiuals has to be provided by
organizations to get productive workforce. Work and life can not be
thought as independent fields; thus, satisfaction or dissatisfaction in one
from these two fields affects the other. That’s why this research was
conducted to determine satisfaction in the work context, whether the
quality of life, defined as a cognitive process, varies according to
demographic characteristics and whether there is relationship between
two types of satisfaction in the quality-of-life inventory. The study was
194 employees who are working in five different departments in Istanbul.
A 2-scales questionnaire consisting of 3 sections and 34 items was
administered. Because of mising values, 166 employees’ datas were used
to be analyzed. Frequency and percentage distribution was used for
demographic variables; moreover, t-test and one-way Anova test was
used for testing hypotheses with IBM SPSS Statistics 20.00. Tukey and
Tamhane test was used to evaluate variances; besides, Pearson correlation
was made use for determining the relationship between two variables.
Datas were analyzed through total scores obtained from the scales. As a
result of the analyzes, there was statistically significant difference
between income level, house working time, work position, maritial status,
age, departmant variables and job satisfaction. However, there was no
statistically significant difference between gender, educational level,
number of the child and job satisfaction. As another results, there was
statistically significant difference between income level, house working
time, maritial status, departmant variables and life satisfaction.