Abstract
Women labor force participation plays an important role in economic. The developing in economy in Saudi Arabia depends on men rather than women, more than 50 years the Saudi women participation in the labor force extremely is low, this dissertation seeks to identify the challenges and barriers to employment for women in Riyadh and Tabuk. This study examines three research questions. The first question explored the difference between the rate of women unemployment in Tabuk and the rate of women unemployment in Riyadh. The second question investigated ways in which a logistic regression using demographics data could be used to predict the women unemployment rates in two cities. The third question investigated the challenges faced by unemployed women in two cites. An online survey was administrated to both groups. The survey included demographic information and Women Labor Force Participation Instrument. A Chi-Square test was developed from the data to test the differences of the unemployed women in two cites. In order to analyze the second question, the researcher utilized two statistical analysis tests. A logistic regression equation was developed from the data to predict unemployment rates in two cites. Additionally, Partial least squares structural equation modeling were used to analyze the exploratory research question. Content analysis was also used to analyze the challenges faced by unemployed women.
Notes
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Graduation Date
2019
Semester
Summer
Advisor
O'Neal, Thomas
Degree
Doctor of Philosophy (Ph.D.)
College
College of Engineering and Computer Science
Department
Industrial Engineering and Management Systems
Degree Program
Industrial Engineering
Format
application/pdf
Identifier
CFE0007597
URL
http://purl.fcla.edu/fcla/etd/CFE0007597
Language
English
Release Date
8-15-2022
Length of Campus-only Access
3 years
Access Status
Doctoral Dissertation (Open Access)
STARS Citation
Almutairi, Sultan, "The Challenges and Barriers to Employment for Female in Riyadh and Tabuk" (2019). Electronic Theses and Dissertations. 6449.
https://stars.library.ucf.edu/etd/6449