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ERIC Number: ED575549
Record Type: Non-Journal
Publication Date: 2017
Pages: 148
Abstractor: As Provided
ISBN: 978-1-3696-8461-2
ISSN: N/A
EISSN: N/A
Available Date: N/A
Explaining IT Professionals' Organizational Commitment Based on Age, Gender, and Personality Trait Factor
Syed, Javaid A.
ProQuest LLC, Ph.D. Dissertation, Capella University
The purpose of the present study was to test the Emotional Stability dimension of the Big Five factors of personality traits theory to predict or explain a relationship with Employee Organizational Commitment, when the relationship between Emotional Stability (ES) and Employee Organizational Commitment (EOC) was moderated by Gender and AgeGroup. Public domain secondary data from the General Social Survey were used in the study. The three age groups under investigation were Millennials, Generation X, and the Boomer generation. A hierarchical linear multiple regression model was applied to test the hypotheses. The statement of the omnibus null hypothesis (H[subscript 0]) was that the Emotional Stability dimension of the Big Five factor model of personality traits theory did not have the ability to predict EOC. Main hypotheses stated that there was not a statistically significant relationship between the moderated independent variable (IV) and the dependent variable (DV). Results of the full model showed that the theory-testing null hypothesis (H[subscript 0]) was not supported (p < 0.05), and the Boomer generation contributed most to the DV (Beta = -0.511). Recommendations were made for future research. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: General Social Survey
Grant or Contract Numbers: N/A
Author Affiliations: N/A