K. Bezrukova, Terri L. Griffith, Chester S. Spell, Vincent Rice, Huiru Evangeline Yang
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Artificial Intelligence and Groups: Effects of Attitudes and Discretion on Collaboration
We theorize about human-team collaboration with AI by drawing upon research in groups and teams, social psychology, information systems, engineering, and beyond. Based on our review, we focus on two main issues in the teams and AI arena. The first is whether the team generally views AI positively or negatively. The second is whether the decision to use AI is left up to the team members (voluntary use of AI) or mandated by top management or other policy-setters in the organization. These two aspects guide our creation of a team-level conceptual framework modeling how AI introduced as a mandated addition to the team can have asymmetric effects on collaboration level depending on the team’s attitudes about AI. When AI is viewed positively by the team, the effect of mandatory use suppresses collaboration in the team. But when a team has negative attitudes toward AI, mandatory use elevates team collaboration. Our model emphasizes the need for managing team attitudes and discretion strategies and promoting new research directions regarding AI’s implications for teamwork.
期刊介绍:
Group & Organization Management (GOM) publishes the work of scholars and professionals who extend management and organization theory and address the implications of this for practitioners. Innovation, conceptual sophistication, methodological rigor, and cutting-edge scholarship are the driving principles. Topics include teams, group processes, leadership, organizational behavior, organizational theory, strategic management, organizational communication, gender and diversity, cross-cultural analysis, and organizational development and change, but all articles dealing with individual, group, organizational and/or environmental dimensions are appropriate.