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Autor/inBazil, Sharon Nesbitt
TitelJob Satisfaction of Information Technology Faculty in Educational Institutions: A Regression Analysis Based on the Job Satisfaction Survey
Quelle(2017), (108 Seiten)
PDF als Volltext Verfügbarkeit 
Ph.D. Dissertation, Capella University
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
ISBN978-1-3696-6817-9
SchlagwörterHochschulschrift; Dissertation; Job Satisfaction; Information Technology; Professional Personnel; Occupational Mobility; Professional Autonomy; College Faculty; Nontenured Faculty; Personality Traits; Motivation; Resilience (Psychology); Work Environment; Psychological Patterns; Teamwork; Assertiveness; Work Ethic; Social Influences; Extraversion Introversion; Predictor Variables; Multiple Regression Analysis
AbstractIn the 21st century, business settings are more dynamic and more thought provoking than in previous years because lately information technology (IT) has dominated all aspects of the business field. For this reason, this study involved examining job satisfaction of IT professionals paying particular attention to the opportunity for advancement and autonomy, the two most important factors of job satisfaction. Additionally, this researcher focused on non-tenured IT professionals working in higher educational institutions. A major concern of IT professionals is job satisfaction within the IT industry. I reviewed existing literature in an effort to discover what other researchers have done to ensure job satisfaction of IT professionals. The literature showed that while job satisfaction of IT professionals was a thoroughly researched topic, no researchers have focused on the job satisfaction of IT professionals who were non-tenured at a higher education institution. Moreover, I acknowledged personality trait values, such as intrinsic and extrinsic, openness, emotional resilience, working condition, optimism, teamwork disposition, assertiveness, work drive, social influence, customer service orientation, and extraversion as the most pertinent job satisfaction factors. To examine the extent to which autonomy and opportunity for advancement predict job satisfaction, a multiple linear regression was conducted. The independent variables in this analysis were autonomy and opportunity for advancement. The dependent variable was job satisfaction. The results of the regression showed that autonomy and opportunity for advancement were both significant positive predictors of job satisfaction. Increased autonomy or opportunities for advancement both corresponded with an increased degree of job satisfaction. [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.] (As Provided).
AnmerkungenProQuest 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
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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