Date of Conferral
Dr. Donna Brown
Employee disengagement is a significant issue for leaders and managers in many organizations. The general problem is the workforce in many American organizations includes disengaged employees. In 2016, only 33% of the workforce in the United States was engaged. The purpose of this quantitative study was to examine the relationship between the independent variables of mentoring, which include role modeling, acceptance and confirmation, and mentoring friendship functions with a dependent variable of employee engagement. The moderating variable of perceived organizational support was measured to test the strength or weakness of the effects that mentoring has on employee engagement. The theoretical foundation for this study was social exchange theory. The researcher recruited a convenience sample of 307 technicians and technologists representing 7 industries. The participants completed surveys and questionnaires to provide their views of mentoring, perceived organizational support, and work engagement. Data were analyzed using descriptive and inferential analysis, including Pearson's correlations, linear, and stepwise regression analysis. The results of the inferential analyses indicated that each part of the mentoring variables (career support, psychosocial support, and role modeling) had an independent impact on work engagement. The interaction between psychosocial support and organizational support was also significant after accounting for the effects of mentoring and organizational support. The findings indicate that managers can achieve positive social change and improve employee well-bring within their organizations by being dutifully involved in their employees' work lives. Managers should also be available to apply resources such as mentoring for technicians and technologist when needed.
Fountain, Lee Thornton, "Mentoring Elements that Influence Employee Engagement" (2018). Walden Dissertations and Doctoral Studies. 5860.
Business Administration, Management, and Operations Commons, Cultural Resource Management and Policy Analysis Commons, Management Sciences and Quantitative Methods Commons