As emotions are fundamental elements of human behavior that significantly impact performance and decision-making processes, understanding the relationship between Emotional AI (EAI) and Human Digital Twin (HDT) technology represents an important area for investigation. This relationship could potentially usher in a new era where systems can understand and respond to human emotions, creating more effective human- machine interactions. While various industry sectors are actively exploring these technologies separately to improve efficiency and collaboration, their potential integration raises significant organizational implementation challenges requiring strategic management attention. This study examines the conceptual relationship between EAI and HDT technologies and explores critical management dimensions that would be necessary for their integration, in particular: (1) governance frameworks for emotional data management, (2) This centrality suggests that approaches for overcoming resistance to adoption and (3) strategic leadership requirements for successful implementation. Through a systematic search and selection, and network analysis of scientific literature, both technical connections and potential managerial implications are identified, providing a framework for organizational decision-makers to navigate the challenges of implementing emotionally intelligent digital systems. The findings deliver practical guidelines for senior management to effectively plan for potential integration while aligning technological innovation with organizational goals and regulatory compliance.