Bauer, Human Resource Management
SAGE Publishing, 2020
Answers to In-Text Questions
Chapter 10: Managing Employee Separations and Retention
Keeping The Seats Occupied: Analytics as a Retention Management Tool in the Trucking
Industry
Case discussion questions:
1. What types of data, in addition to those mentioned in the case, do you think can be used
to develop predictive models regarding turnover? If you were developing such a model,
what information would you want to collect so that you could predict turnover? Would
you advise a company to use all information available to them in these predictive
models?
Student responses will vary but might include looking at salaries on the new job and a
2. Do you think the determinants of why employees quit and why they are dismissed would
be different? What factors would you expect to be more closely related to voluntary
turnover? What factors are more likely to predict whether the employee is dismissed?
There should be a difference in determinants for those who quit and those who are