Talent management, specific for different age generations in Ho Chi Minh City

Thesis title: Talent management, specific for different age generations in Ho Chi Minh City
Author: Nguyen, Lam Nhu Quynh
Thesis type: Bachelor thesis
Supervisor: Legnerová, Kateřina
Opponents: Černá, Daniela
Thesis language: English
Abstract:
This study explores the landscape of talent management in Ho Chi Minh City (HCMC), Vietnam, within the context of its dynamic economic growth and diverse workforce. It will explain the talent management model and explores the actual situation of human resource management in HCMC. From there, it will point out the challenges and opportunities of talent planning, attracting, and selecting amidst the evolving employment landscape. While exploring the challenges and opportunities of talent management in this setting, the study focuses on the unique characteristics and preferences of Baby Boomers, Generation X, Millennials, and Generation Z. Utilizing a qualitative methodology, the study aims to uncover the reasons behind the limited applicability of talent management theories in reality in HCMC, while emphasizing the challenges incures with Baby Boomers and Generation X and the significance of Millennials and Gen Z in the HCMC workforce. Furthermore, it examines how understanding the characteristics and preferences of different generations in the workforce can inform tailored talent management strategies for enhanced organizational performance. By examining HR practices in Vietnam and their evolution in the absence of formal talent management frameworks, the study seeks to contribute to knowledge by providing insights into effective talent management strategies for organizations operating in developing city environments.
Keywords: Different age groups; Human resource practices; Talent planning; Talent management; talent attracting; Ho Chi Minh City
Thesis title: Talent management, specific for different age generations in Ho Chi Minh City
Author: Nguyen, Lam Nhu Quynh
Thesis type: Bakalářská práce
Supervisor: Legnerová, Kateřina
Opponents: Černá, Daniela
Thesis language: English
Abstract:
This study explores the landscape of talent management in Ho Chi Minh City (HCMC), Vietnam, within the context of its dynamic economic growth and diverse workforce. It will explain the talent management model and explores the actual situation of human resource management in HCMC. From there, it will point out the challenges and opportunities of talent planning, attracting, and selecting amidst the evolving employment landscape. While exploring the challenges and opportunities of talent management in this setting, the study focuses on the unique characteristics and preferences of Baby Boomers, Generation X, Millennials, and Generation Z. Utilizing a qualitative methodology, the study aims to uncover the reasons behind the limited applicability of talent management theories in reality in HCMC, while emphasizing the challenges incures with Baby Boomers and Generation X and the significance of Millennials and Gen Z in the HCMC workforce. Furthermore, it examines how understanding the characteristics and preferences of different generations in the workforce can inform tailored talent management strategies for enhanced organizational performance. By examining HR practices in Vietnam and their evolution in the absence of formal talent management frameworks, the study seeks to contribute to knowledge by providing insights into effective talent management strategies for organizations operating in developing city environments
Keywords: Different age groups; Talent planning; Human resource practices; Different age groups; Talent management; Ho Chi Minh City; talent attracting

Information about study

Study programme: Bachelor of Business Administration
Type of study programme: Bakalářský studijní program
Assigned degree: Bc.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Business Administration
Department: Department of Personnel Management

Information on submission and defense

Date of assignment: 29. 2. 2024
Date of submission: 15. 5. 2024
Date of defense: 11. 6. 2024
Identifier in the InSIS system: https://insis.vse.cz/zp/87851/podrobnosti

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