Self -efficacy and employee satisfaction in cross utilization teams: Predicting organizational commitment and turnover intention of cross utilization employees

by Carlson, Dennis J., Ph.D., CAPELLA UNIVERSITY, 2009, 114 pages; 3344525


Job satisfaction has been the focus of business research for a number of years. Various formats have been used to measure job satisfaction; however, recently self-efficacy has become a dominant resource to measure satisfaction. This study examined the self-efficacy of cross-utilization employees as it relates to job satisfaction in a financial processing arena. The results were used to determine if self-efficacy could be used to predict organizational commitment and turnover intention. The Minnesota Satisfaction Questionnaire (MSQ) long form was used to sample employees in the travel industry who perform financial operations duties in cross-utilization settings. A total of 132 finance operations associates participated in the study. Classical regression analysis and Analysis of Variance (ANOVA) were used to analyze the data gathered. The results indicate that self-efficacy as a measure of job satisfaction can be used to predict organizational commitment in cross-utilization employees. While supported, self-efficacy as a measure of job satisfaction can also predict turnover intention but would affect turnover intention negatively. Suggestions for cross-utilization employee and leader development are also presented in this study.

AdviserSamuel Natale
Source TypeDissertation
Publication Number3344525

About ProQuest Dissertations & Theses
With nearly 4 million records, the ProQuest Dissertations & Theses (PQDT) Global database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

PQDT Global combines content from a range of the world's premier universities - from the Ivy League to the Russell Group. Of the nearly 4 million graduate works included in the database, ProQuest offers more than 2.5 million in full text formats. Of those, over 1.7 million are available in PDF format. More than 90,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - - or contact ProQuest Support.