Define forced ranking. What are its benefits and drawbacks?
What will be an ideal response?
In a forced ranking performance review system, all employees within a business unit are ranked against one another, and grades are distributed along some sort of bell curve. Top performers are rewarded with bonuses and promotions; the worst performers are given warnings or dismissed.
Proponents of forced ranking say it encourages managers to identify and remove poor performers and structures a predetermined compensation curve, which enables them to reward top performers. Opponents contend that the system eventually gets rid of talented as well as untalented people. There may also be legal ramifications, as when employees file class-action lawsuits that the forced ranking methods had a disparate effect on particular employee groups. In addition, numeric ratings, rankings, and formal evaluations without positive feedback may produce the opposite of intended results ny creating a culture of reduced performance. Finally, forced ranking systems seem inappropriate today, when over 70% of workers are employed in service or knowledge-intensive jobs in which skills, attitudes, and abilities are hard to evaluate along a bell curve.
You might also like to view...
The journal entry a company records for the issuance of bonds when the contract rate is greater than the marketrate would be
a. debit Bonds Payable, credit Cash b. debit Cash and Discount on Bonds Payable, credit Bonds Payable c. debit Cash, credit Premium on Bonds Payable and Bonds Payable d. debit Cash, credit Bonds Payable
Medical _____ help diagnose patients and suggest treatments.
A. expert systems B. resource planning systems C. model systems D. data management modules
Agreements within an organization about what is real and what is illusory can be referred to as ____________.
a. Illusory meaning b. Realizations c. Shared meanings d. Dreaming
A data set that has so many variables that simultaneous consideration of all variables is infeasible is which of the following?
A. Wide data B. Strong data C. Tall data D. Huge data