Analytics for Complex Organizations
A.Y. 2024/2025
Learning objectives
Students of this course will acquire a basic knowledge of the use of data within complex organizations to analyze, diagnose, and interpret events, processes and outcomes; a general knowledge of the basics of organization theory, organization design and human resource management processes; the fundamentals of data management and social network analysis
Expected learning outcomes
Students will be able to identify data sources and structure data collection in order to understand the basic organizational processes and to manage human resources through adequate data analytics.
Lesson period: Third trimester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
Third trimester
Course syllabus
1. What is organizational analytics?
2. The importance of data
3. Competitive strategy analytics
4. Organizational Network Analysis
5. HR Analytics
2. The importance of data
3. Competitive strategy analytics
4. Organizational Network Analysis
5. HR Analytics
Prerequisites for admission
Basic knowledge of business and organizational dynamics
Use of R
Use of R
Teaching methods
Lectures, case studies, keynotes
Teaching Resources
Levenson, A., 2015. Strategic analytics: Advancing strategy execution and organizational effectiveness. Berrett-Koehler Publishers.
Slide presentations
Slide presentations
Assessment methods and Criteria
Students will be evaluated on the basis of an individual exam and a project work based on R
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT - University credits: 6
Lessons: 40 hours
Professors:
Ruberti Alessandro, Solari Luca
Professor(s)
Reception:
To meet me send an email to [email protected]
Room #16 Department of Social and Political Sciences