Students will acquire knowledge of: (1) the different levels in HR analytics; (2) the nature of HR data and their treatment; (3) the more relavant HR practices where HR analytics can be applied; (4) to understand how firms hire employees; (5) the basics of on the job training; (6) the optimal compensation policy
Expected learning outcomes
At the end of the course students shall be able: 1. To define the nature of data to be used in analytics; (2) to define a data analysis strategy; (3) to interpret adta analysises in the domain of HR; (4) distinguish the main hiring methods; (5) know the types of training normally used; (6) design an incentive wage policy
The first module will guide students through the comprehension of the relationship between HR practices and business results. The second module will teach the basics of personnel economics with particular attention to optimal compensation and recruiting practices.
Prerequisites for admission
Students need to have a basic understanding of Human resources and labour economics
The course will involve students in lectures, exercises, team presentations, and keynotes
For the first module, readings and other learning materials will be provided by the instructor. A useful text is G. Pease, B. Byerly, J. Fitz-enz, Human Capital Analytics: How to Harness the Potential of Your Organization's Greatest Asset, Wiley For the second module the textbook is Pietro Garibaldi "Personnel Economics in Imperfect Labour Markets", Oxford University Press, chapters 3 to 11.