Abstract

This research investigates the complex interplay of leadership styles, team communication, and AI-interaction System development within the context of AI-based interaction systems development teams. The purpose is to elucidate how these variables intersect and collectively influence team performance. By exploring the dynamics specific to AI technologies, the study aims to contribute nuanced insights to the existing literature on leadership in technology-driven environments. Employing a quantitative approach, the study utilizes a structured questionnaire distributed to participants within AI development teams. The research focuses on leadership styles, encompassing both transformational and transactional approaches, team communication dynamics, and the developmental stage of AI-based interaction systems as key variables. Data analysis involves regression, mediation, and moderation analyses, facilitated by SPSS software, to uncover the relationships and interactions among these variables. Findings reveal that both transformational and transactional leadership positively influence team performance, mediated by effective team communication. Additionally, the developmental stage of AI-interaction Systems moderates these effects, highlighting the need for adaptable leadership strategies. This study addresses gaps in existing research by focusing on the specific dynamics within AI development teams, an area previously underexplored. The practical implications are significant for leaders in AI development teams, offering strategies to enhance team collaboration and performance. Key references include Bass and Riggio's work on transformational leadership and Brynjolfsson and McAfee's studies on AI's transformative potential. This research contributes to a nuanced understanding of leadership in technology-driven environments, guiding organizational practices in the AI era.