Cunningham, Christopher J. L.
Biderman, Michael D.; O'Leary, Brian J.
College of Arts and Sciences
University of Tennessee at Chattanooga
Place of Publication
Employee engagement is often defined as the vigor, dedication, and absorption one feels about and/or displays within their job. It has long been asserted that engagement is highest for employees who “fit” better with their work. Applicants determine their anticipated levels of fit throughout the selection process. Therefore, it is crucial that the information organizations provide will allow applicants to make accurate assumptions of fit to increase the probability that the vacancy will be filled by an applicant best suited for the position. This study was designed to identify if the practices used during organizations’ selection processes influence the accuracy of employees’ anticipated person-job and person-organization fit, and employees’ ultimate levels of engagement. This mediation model was not supported when including covariates; however, the accuracy of person-job fit perceptions was nearly significant as a mediator between applicants’ perceived information-richness of the selection process and their subsequent engagement on the job.
I would like to thank everyone who has supported me throughout this process. Specifically, I would like to thank my thesis chair, Dr. Chris Cunningham, for his guidance, support, and dedication to seeing me succeed. I would also like to thank my committee members, Dr. Michael Biderman and Dr. Brian O’Leary, for providing feedback and helping to make my thesis a better product. Lastly, I would like to thank my family and friends for the immense amount of support they have provided.
M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.
Achievement motivation; Employee motivation; Organizational behavior
xiv, 130 leaves
Rodriguez, Sofia N., "Examining the impact of selection practices on subsequent employee engagement" (2017). Masters Theses and Doctoral Dissertations.