The evolution of the labour market: how to minimize the turnover rate by focusing on new goals and interests: analysis of the great resignation
Piccinini, Livia (A.A. 2022/2023) The evolution of the labour market: how to minimize the turnover rate by focusing on new goals and interests: analysis of the great resignation. Tesi di Laurea in Managerial economics, Luiss Guido Carli, relatore Corrado Pasquali, pp. 129. [Master's Degree Thesis]
PDF (Full text)
Restricted to Registered users only Download (1MB) | Request a copy |
Abstract/Index
Overview and context analysis. Labour market description. Problem definition: people are quitting their job. Context: Covid-19 and implications. Lack of effective organizational support for employees. Technology: digital transformation and adaptation. The great resignation. Causes and analysis for this phenomenon. Why people are leaving their job. Demographic analysis. Most affected sectors. Geographical analysis with the focus on Italy. Consequences of the great resignation. Strategies to minimize the turnover rate. The desire to belong to something more: the concept of communityship. How to reduce the turnover. Strategies to increase the retention rate. ESG sustainability: the role of corporate social responsibility. “Quality over quantity”: invest in specific selection processes. Innovation and AI: the disruption of the current labour market. Insights from a specific company's analysis. Company overview. “Prima: great experience, great people”. Analysis of resignation and turnover trends in recent years.
References
Bibliografia: pp. 102-109.
Thesis Type: | Master's Degree Thesis |
---|---|
Institution: | Luiss Guido Carli |
Degree Program: | Master's Degree Programs > Master's Degree Program in Strategic Management (LM-77) |
Chair: | Managerial economics |
Thesis Supervisor: | Pasquali, Corrado |
Thesis Co-Supervisor: | Mascolo, Rita |
Academic Year: | 2022/2023 |
Session: | Summer |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 19 Dec 2023 11:11 |
Last Modified: | 19 Dec 2023 11:11 |
URI: | https://tesi.luiss.it/id/eprint/37357 |
Downloads
Downloads per month over past year
Repository Staff Only
View Item |