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Abstract
This dissertation investigates the efficacy of generative artificial intelligence (AI) at enhancing cross-cultural communications within multinational organizations, across globally distributed and often virtually based teams. Misunderstandings and inefficiencies can often arise within multicultural work environments due to language barriers and differing cultural norms. Through the use of generative AI tools, organizations can provide real-time translation and cultural nuance interpretation. This research examines the potential improvements that generative AI can bring to communication clarity, urgency perception, and consensus-building. The methodology included a controlled experiment involving English as a Second Language (ESL) participants from diverse cultural and linguistic backgrounds. Control group participants evaluated an unaltered communication scenario. Experimental group participants evaluated an AI-enhanced communication scenario. The data analysis revealed that generative AI significantly improved understanding, increased perceived urgency, and facilitated higher levels of consensus and decision-making. The research findings underscore the potential for generative AI to address common communication challenges within multicultural teams. This research outcome supports the idea that generative AI can be an important tool toward creating more cohesive and productive collaboration among multinational team members.