Tetiana Smerdova
Papers
2
Total Citations
6
H-Index
2
About
Tetiana Smerdova is an emerging researcher whose work sits at the intersection of human resources management, automation technology, and organizational behavior. Her primary focus lies in exploring how cutting-edge technologies — particularly Robotic Process Automation (RPA) and Artificial Intelligence — can be strategically applied to transform traditional business processes within complex, multinational organizational environments. Her most recognized contribution centers on optimizing recruitment workflows, demonstrating how intelligent automation can reduce inefficiencies, minimize human bias, and enhance candidate experience at scale across diverse corporate structures. Though still in the early stages of her academic trajectory, her 2024 research has already attracted attention from scholars and practitioners alike, accumulating citations that signal growing interest in this rapidly evolving field. Her work is particularly timely given the accelerating digital transformation of HR departments worldwide, positioning her as a contributor to an important conversation about the future of work. Researchers and students interested in AI-driven organizational change, HR technology, and the modernization of talent acquisition practices will find her scholarship both practically relevant and thought-provoking.
Research Focus
Key Achievements
Top Papers
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- 2