Kowlessar, N. M., Goetzel, R. Z., Calrs, G. S., Tabrizi, M. J., & Guindon, A. (2011). The relationship between 11 health risks and medical productivity costs for a large employer. Journal of Occupational and Environmental Medicine, 53(5), 468–477.
This study focuses on the Mayo Clinic’s health assessment instrument that examines the relationship between the health risks and costs for large employers. Approximately 25% of heath care costs are attributed to 11 modifiable risk factors. These risk factors affect the overall magnitude of productivity losses; and consist of obesity, high blood pressure, high cholesterol, poor exercise, poor nutrition, poor emotional health, high triglycerides, poor safety practices, tobacco usage, and alcohol use. …show more content…
The individuals who majored in economics were more likely to work in a job that was unrelated to their degree than the individuals who majored in business administration. This study utilizes the data from the National Survey of College Graduates that was conducted by the National Science Foundation. Students that ranged from the age of 18 and 64 who earned their bachelor’s degree or higher were targeted for this study that consisted of several survey questions. There were three possible responses in the survey that graded the individual on whether they accepted a job that was closely related, somewhat related, or not related to their individual degrees. A quasi-experimental method, propensity score method, was used to observe the many variables. Women had a greater proportion of business majors than economics, 42.3% to 22.9%. Those with an economics major were more likely to get a degree from a research institution, 47.5 versus 24.5%, thus having more experience in the field at the time of the survey, than those with business majors. Future research should address the gender differences in college major selection and the effects of mismatch jobs wages and …show more content…
One particular and well-known hypotheses is that job satisfaction is positively related to salary. This particular study of satisfaction and salary consisted of surveying 79 participants, in which 60% were males and 40% were females, and all are working adults. Participants were measured using a 7-point Likert scale that ranged from “very accurate” to “very inaccurate”. The Job Diagnostic Survey originated by Hackman and Oldham (1974) was also utilized and found that the job satisfaction, did in fact, have a negative relationship to salary. Wages, on the other hand, did not have a negative effect on the employee’s overall job satisfaction. Individuals who earn more could possibly be less satisfied due to the higher pressures of holding a higher level position. The dissatisfaction of jobs in higher paying positions could be further explored in future studies with additional samples and contexts. Individuals progresses through their careers and lives in three stages. These stages consist of the early career, where exploration occurs, the mid-career, where established gains are maintained, and the late-career, where employees begin to disengage from the workplace towards
This study focuses on the Mayo Clinic’s health assessment instrument that examines the relationship between the health risks and costs for large employers. Approximately 25% of heath care costs are attributed to 11 modifiable risk factors. These risk factors affect the overall magnitude of productivity losses; and consist of obesity, high blood pressure, high cholesterol, poor exercise, poor nutrition, poor emotional health, high triglycerides, poor safety practices, tobacco usage, and alcohol use. …show more content…
The individuals who majored in economics were more likely to work in a job that was unrelated to their degree than the individuals who majored in business administration. This study utilizes the data from the National Survey of College Graduates that was conducted by the National Science Foundation. Students that ranged from the age of 18 and 64 who earned their bachelor’s degree or higher were targeted for this study that consisted of several survey questions. There were three possible responses in the survey that graded the individual on whether they accepted a job that was closely related, somewhat related, or not related to their individual degrees. A quasi-experimental method, propensity score method, was used to observe the many variables. Women had a greater proportion of business majors than economics, 42.3% to 22.9%. Those with an economics major were more likely to get a degree from a research institution, 47.5 versus 24.5%, thus having more experience in the field at the time of the survey, than those with business majors. Future research should address the gender differences in college major selection and the effects of mismatch jobs wages and …show more content…
One particular and well-known hypotheses is that job satisfaction is positively related to salary. This particular study of satisfaction and salary consisted of surveying 79 participants, in which 60% were males and 40% were females, and all are working adults. Participants were measured using a 7-point Likert scale that ranged from “very accurate” to “very inaccurate”. The Job Diagnostic Survey originated by Hackman and Oldham (1974) was also utilized and found that the job satisfaction, did in fact, have a negative relationship to salary. Wages, on the other hand, did not have a negative effect on the employee’s overall job satisfaction. Individuals who earn more could possibly be less satisfied due to the higher pressures of holding a higher level position. The dissatisfaction of jobs in higher paying positions could be further explored in future studies with additional samples and contexts. Individuals progresses through their careers and lives in three stages. These stages consist of the early career, where exploration occurs, the mid-career, where established gains are maintained, and the late-career, where employees begin to disengage from the workplace towards