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Digital platforms play a vital role in shaping today's labour market, enabling temporary hires and freelance employment in the gig economy. This on-demand, digital economy spans various professions and remote work opportunities. Technological advancements have significantly evolved gig work since the industrial age, improving work-life balance and psychological well-being. Using the Scopus database, a literature analysis on the gig economy was conducted with 1624 documents narrowed to 549 documents based on subject area, document type, publication stage, keywords, and language and examining social, economic and technological factors. This study highlights the evolving nature of non-traditional, online-platform- driven employment through which author's explored the gig economy, its challenges, ethical issues, and career development and workers experiences. The analysis used R Studio Software to visualize keyword themes using a strategic thematic map, which signifies the structure and development of themes within the gig economy. This study used Origin Pro for author analysis which found GRAHAM as the top author. VOS Viewer for bibliographic coupling which identified USA and UK as top collaborating countries and also highlight the eight clusters of keyword analysis. For sustainable growth, further research should explore the platform economy, gig employment, and worker well-being, assessing technological innovations to create adaptable job opportunities. This will help the gig economy to accommodate market dynamics and ensure diverse and stable employment across various sectors. [ABSTRACT FROM AUTHOR]

The integration of Artificial Intelligence (AI) in Human Resource Management (HRM) is reshaping the landscape of talent acquisition, driving efficiency, and transforming recruitment strategies. This review paper explores the role of AI in enhancing recruitment processes and employee engagement. AI technologies such as chatbots, predictive analytics, and automated screening tools are streamlining candidate sourcing, reducing bias, and improving decision-making. This study reviews existing literature on AI applications in HRM, focusing on how these technologies contribute to optimizing recruitment by improving the accuracy and speed of talent acquisition while offering personalized candidate experiences. Additionally, the paper investigates how AI tools contribute to employee engagement, with an emphasis on continuous feedback, personalized learning, and career development. The findings reveal that AI-powered solutions not only enhance the candidate experience but also help organizations in identifying the right talent efficiently, thereby improving overall retention rates. However, challenges such as ethical considerations, data privacy issues, and potential biases embedded in AI systems are also discussed. The study highlights the need for organizations to develop robust frameworks to manage these challenges and leverage AI responsibly. Future research directions are suggested to further understand the implications of AI in HR, particularly regarding regulatory and ethical frameworks. Overall, the paper provides valuable insights into the transformative potential of AI in recruitment and employee engagement, emphasizing its strategic importance in modern HRM practices. [ABSTRACT FROM AUTHOR]