In today's evolving global landscape, effective talent management is critical for organizations to remain competitive and thrive. However, many businesses face challenges in their talent acquisition and management practices, including issues of cultural barriers, legal constraints, limited efficiency, and lack of innovation. Simultaneously, emerging technologies such as artificial intelligence (AI) and remote work are disrupting traditional processes across industries. These technologies hold the potential to revolutionize talent management practices, providing new opportunities for higher efficiency and effectiveness. This thesis discusses disruptions in the HR industry and their impact on global talent recruitment and management practices to address the gap between effective talent management and the challenges faced by organizations. The research combines comprehensive analysis of existing academic literature with qualitative insights from experts and executives in the field along with quantitative data gathered from a job posting platform. The results provide insights for firms seeking to enhance talent management practices. Practical recommendations are formulated based on the integration of expert insights and academic research. The thesis contributes to the growing body of knowledge on how to navigate in this rapid changing field of global talent management, providing evidence-based material that can inform strategic decision-making and drive organizational success in an increasingly competitive global market.
| Date of Award | 26 Jun 2023 |
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| Original language | English |
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| Awarding Institution | - Universidade Católica Portuguesa
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| Supervisor | Peter V. Rajsingh (Supervisor) |
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- Artificial intelligence
- Globalization
- Machine learning
- Disruptive innovation
- Recruiting
- Talent acquisition
- Strategic change
- COVID
- Talent management
- Global talent acquisition
- HR practices
- Organizational efficiency
- Expert insights
- Mestrado em Gestão e Administração de Empresas
The future of hiring: landing jobs as a paradigm of future trends
Alves , C. D. O. (Student). 26 Jun 2023
Student thesis: Master's Thesis