Purpose: This article explores the adoption of Artificial Intelligence (AI) in Human Resource Management (HRM) in the UAE, focusing on the critical challenges of fairness, bias, and privacy in recruitment processes. The study aims to understand how AI is transforming HR practices in the UAE, highlighting the issues of bias and privacy while examining real-world applications of AI in recruitment, employee engagement, talent management, and learning and development. Methodology: Through case study methodology, detailed insights are gathered from these companies to understand real-world applications of AI in HRM. A comparative analysis is conducted, comparing AI-driven HRM practices in UAE-based organizations with international examples to highlight global trends and best practices. Findings: The research reveals that while AI holds significant potential to streamline HR functions such as recruitment, onboarding, performance monitoring, and talent management, it also discusses challenges and strategies companies face and develop in integrating AI into their HRM processes, reflecting the broader context of AI adoption in the UAE’s HR landscape. Originality: This paper contributes to the growing body of literature on AI in HRM by focusing on the unique context of the UAE, a rapidly developing market with a highly diverse workforce. It highlights the specific challenges and opportunities faced by organizations in the UAE when implementing AI in HRM, particularly regarding fairness, bias, and data privacy.

Ostensibly, theories from the eastern and western worlds have emphasized different aspects of character, while in India, greater importance is attached to character building. We must understand that character building establishes surroundings for the human being with distinct values and virtues persisting inside him. This study attempts to explain the importance of the character merits of young managers in mitigating volatile, uncertain, complex, and ambiguous (VUCA) challenges encountered in a business journey. This scholarly effort, with a framework of being reflective and expressive, attempts to capture empirical and qualitative data, hence presenting a model and explaining the connection between the character of young managers and VUCA. The authors initially mine on what character implies and how it could be plausibly examined. Character, as a manifestation, is qualitatively distinguished as a sum of one’s bent of mind, embracing the brighter part of good qualities and consolidating a frame to capture the countenance of a genuine personality. We must understand that for organisation’s growth and sustainability, it is vital for the human resources department to maintain a training methodology that is systematic and focused on character building.

Vietnam has experienced an impressive period of economic growth since implementing an export-oriented economic policy. Vietnam’s international economic integration is deepening, and the output of the export sector has been continuously improved with a double-digit growth rate in recent years, especially in Ho Chi Minh City. Hence, the purpose of this paper is to study the impact of trade liberalization on export intensity of Vietnamese exporters as well as the moderating role of the location. In this study, data was collected from 80 exporters listing in Vietnam stock markets from 2007 to 2022. Further, regression test was carried out by applying GMM model. The results show that trade liberalization outcomes have a positive impact on export intensity. We, however, do not find enough evidence of the moderating effect of the location factor. These findings support Resource-based View theory, and trade liberalization policy. The findings imply that Vietnam government should continue to implement trade liberalization policy to support export sector growth.