Eugene
Lee

Eugene Lee’s research draws on organizational communication, media technology, and leadership communication to examine how emerging technologies and AI-driven management systems (algorithmic management) shape employees’ and workers’ perceptions of their organizations and overall well-being. Her work explores the conflicts and friction that arise when AI technologies take on managerial roles, particularly when strategic communication is delivered by AI agents rather than humans, and how these dynamics influence relationships among organizational stakeholders. Her recent projects also examine group well-being, human–machine teamwork, and the ways people build community online.

Lee’s research has been published in leading journals, including Communication Research, Journal of Medical Internet Research, Journal of Marketing Communication, Public Relations Review, Journal of Interpersonal Violence, Journal of Computational Social Science, Social Science Computer Review, Mass Communication and Society, Journal of Communication Management, International Journal of Strategic Communication, among others. She has received multiple Top Paper and Top Student Paper awards from the International Communication Association, the National Communication Association, and the Association for Education in Journalism and Mass Communication, as well as an Endowed Fellowship from the University of Southern California.

Lee’s current projects focus on employees’ and gig workers’ experiences of autonomy, competence, and relatedness; how non-human agents impact knowledge sharing and Transactive Memory Systems; and multi-method studies on conceptualizing and measuring group well-being.

ORCHID