DIGITAL HR AND ORGANISATION
- Academic year
- 2022/2023 Syllabus of previous years
- Official course title
- DIGITAL HR AND ORGANISATION
- Course code
- EM1411 (AF:358754 AR:189550)
- Modality
- On campus classes
- ECTS credits
- 6
- Degree level
- Master's Degree Programme (DM270)
- Educational sector code
- SECS-P/10
- Period
- 4th Term
- Course year
- 2
- Where
- VENEZIA
- Moodle
- Go to Moodle page
Contribution of the course to the overall degree programme goals
The course falls within the educational activities that characterize the DATA ANALYTICS FOR BUSINESS AND SOCIETY degree course in Economics, which prepares students on aspects related to business and management of databases of various kinds.
The educational objective of the course is to provide knowledge relating to:
1 - business processes that characterize people management throughout the entire employee life cycle
2 - activities of the HR department and the integration with other company functions
3 – impact of digital transformation on HR processes and how data supports decision making
4 - how HR processes are changing under the pressure of powerful automation tools
5 – talent war: employer branding and HR marketing
6 – new paradigms within HR management and organization enabled by Artificial Intelligence
The educational objective of the course is to provide knowledge relating to:
1 - business processes that characterize people management throughout the entire employee life cycle
2 - activities of the HR department and the integration with other company functions
3 – impact of digital transformation on HR processes and how data supports decision making
4 - how HR processes are changing under the pressure of powerful automation tools
5 – talent war: employer branding and HR marketing
6 – new paradigms within HR management and organization enabled by Artificial Intelligence
Expected learning outcomes
1. Knowledge and understanding
1.1. acquire knowledge of the main HR processes
1.2. acquire knowledge of the activities within each process that generates data relating to people
1.3. acquire knowledge about key metrics within every HR process
2. Ability to apply knowledge and understanding
2.1. knowing how to exemplify the entire employee life cycle in the company
2.2. knowing how to build different KPIs to measure labor performance
2.3. knowing how to identify the key data sources to build the KPIs
3. Judgment skills
3.1. knowing how to choose the most suitable indicators to support HR decisions
3.2. knowing how to critically evaluate the human and machine contribution within a process
1.1. acquire knowledge of the main HR processes
1.2. acquire knowledge of the activities within each process that generates data relating to people
1.3. acquire knowledge about key metrics within every HR process
2. Ability to apply knowledge and understanding
2.1. knowing how to exemplify the entire employee life cycle in the company
2.2. knowing how to build different KPIs to measure labor performance
2.3. knowing how to identify the key data sources to build the KPIs
3. Judgment skills
3.1. knowing how to choose the most suitable indicators to support HR decisions
3.2. knowing how to critically evaluate the human and machine contribution within a process
Pre-requirements
General knowledge of the main functions of business organizations through the fundamental courses of the bachelor’s degree in economics. Students are expected to master the basic terminology related to business organizations.
Having achieved the educational objectives of ENGLISH FOR ECONOMICS AND BUSINESS 1 [ET3006] even without having passed the exam.
Having achieved the educational objectives of ENGLISH FOR ECONOMICS AND BUSINESS 1 [ET3006] even without having passed the exam.
Contents
- Employee Journey and HR processes
- Data that characterize the different HR processes: recruiting, training, management, performance evaluation, organization, internal communication
- Impact of Digital Transformation on HR processes
- Processes, Data, KPI, Insights, Decisions
- HR Analytics and HRIS platforms
- Employer branding, HR Marketing, and ATS platforms
- New paradigms in HR organization and management enabled by Artificial Intelligence
- Fields of application of RPA (Robotic Process Automation tools) and chatbot
- Data that characterize the different HR processes: recruiting, training, management, performance evaluation, organization, internal communication
- Impact of Digital Transformation on HR processes
- Processes, Data, KPI, Insights, Decisions
- HR Analytics and HRIS platforms
- Employer branding, HR Marketing, and ATS platforms
- New paradigms in HR organization and management enabled by Artificial Intelligence
- Fields of application of RPA (Robotic Process Automation tools) and chatbot
Referral texts
Learning material on Moodle
Assessment methods
The course includes two complementary ways of verifying learning:
- during the course period, students will be involved in many group exercises, held during class
- at the end of the course, students will be required to take the final exam which consists of a written test of about 75 minutes.
The exam aims to verify the students’ acquisition of the concepts presented during the lessons and their ability to identify and build one or more suitable KPI to support decision making in HR scope.
- during the course period, students will be involved in many group exercises, held during class
- at the end of the course, students will be required to take the final exam which consists of a written test of about 75 minutes.
The exam aims to verify the students’ acquisition of the concepts presented during the lessons and their ability to identify and build one or more suitable KPI to support decision making in HR scope.
Teaching methods
a) lectures
b) group exercises during class
b) business cases with testimonials from the field
b) group exercises during class
b) business cases with testimonials from the field
Teaching language
English
Type of exam
written
Definitive programme.
Last update of the programme: 19/03/2023