Van Tien Le

Biography

My research focuses on the integration of Partial Least Squares Structural Equation Modelling (PLS-SEM) with advanced analytical techniques, particularly in the application of machine learning and predictive analytics to traditionally explanatory models. I aim to refine and extend the methodological rigor of PLS-SEM across multiple domains such as Human Resources, Marketing, Operations, and Organizational Behaviour.

Van Tien Le is a PhD Candidate in Business Analytics at Trinity Business School, Trinity College Dublin. His research focuses on advancing Partial Least Squares Structural Equation Modeling (PLS-SEM) by integrating it with cutting-edge analytical techniques. He applies this methodology across a variety of domains, including Human Resources Management, Marketing, Operations Management, and Organizational Behavior. By exploring the intersection of AI, data analytics, and predictive modeling, Van Tien seeks to provide innovative solutions to complex challenges in both academic and industrial contexts. His work aims to bridge the gap between theory and practice, ensuring that advancements in statistical methods contribute to real-world decision-making.

Van Tien brings a wealth of industry experience, having led projects in recruitment technology and organizational development in Vietnam. His professional background enables him to offer practical perspectives on how data-driven insights can optimize business strategies. He holds a Master’s degree in Business Analytics from Trinity College Dublin, where he graduated with distinction, and is passionate about leveraging data to solve critical business issues across diverse sectors.