This study investigates the relationship between the gender composition of an employee's work group and the employee's job satisfaction, using a random sample over 1600 U.S. workers. After controlling possible confounding variables, our analysis shows that the level of an employee's job satisfaction is related to the gender composition of the employee's work group, and that the relationship of these variables does not differ between male and female employees. Both men and women working in gender‐balanced groups have higher levels of job satisfaction than those who work in homogeneous groups. Employees working in groups containing mostly men have the lowest levels of job satisfaction, with those working in groups containing mostly women falling in the middle. These results are consistent with predictions based on Blau's theory of social structure, that satisfaction would be highest for employees in more heterogeneous groups. © 1997 by John Wiley & Sons, Ltd.
Journal of Organizational Behavior – Wiley
Published: Mar 1, 1997
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera