Personnel economics and hr metrics
A.A. 2020/2021
Obiettivi formativi
The objective of the course is, first of all, to familiarize students with economic analysis of central topics in human resource management imperfect labor market. The student will learn to use tools and concepts of economics to analyze human resource management decision problems when firm and HR managers act in highly regulated labor markets.
Moreover, since the impact of digital technologies on HR systems has increased human connectivity and thereby transformed the dynamics of social networks, the capability of conducting Social Network Analysis (SNA) is becoming a critical competence of HRM for efficiently detecting critical connections and understanding the informal hierarchies within an organization. Therefore, another objective of the course is to familiarize the students with the theory, methodology and research associated with SNA in organizational contexts. Students will develop an in-depth understanding of how HR analytics function can use SNA to help improve operational effectiveness.
Moreover, since the impact of digital technologies on HR systems has increased human connectivity and thereby transformed the dynamics of social networks, the capability of conducting Social Network Analysis (SNA) is becoming a critical competence of HRM for efficiently detecting critical connections and understanding the informal hierarchies within an organization. Therefore, another objective of the course is to familiarize the students with the theory, methodology and research associated with SNA in organizational contexts. Students will develop an in-depth understanding of how HR analytics function can use SNA to help improve operational effectiveness.
Risultati apprendimento attesi
At the end of this course, students should be able to:
1.use Economics for analysing human resources management issues, with particular attention to optimal compensation and recruitment practices.
2.design an incentive wage policy.
3. Understand the basic notations and terminology used in network science
4.Discuss the main theories that underlie the social network perspective
5.Visualize, summarize, and compare networks
6.Collect, assemble, and analyze network data
7.Perform basic network analysis in R programming language
1.use Economics for analysing human resources management issues, with particular attention to optimal compensation and recruitment practices.
2.design an incentive wage policy.
3. Understand the basic notations and terminology used in network science
4.Discuss the main theories that underlie the social network perspective
5.Visualize, summarize, and compare networks
6.Collect, assemble, and analyze network data
7.Perform basic network analysis in R programming language
Periodo: Terzo trimestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Docente/i
Ricevimento:
Su appuntamento inviando una mail a alessandra.lazazzara@unimi.it
Via Conservatorio 7 - Stanza n.7 (Ingresso da Via Mascagni, ascensore accanto al bar, salire al secondo piano, prima stanza sulla destra)