생성형 AI 협업의 선행요인과 연대협력 업무효율성에 대한 영향: 의사결정의 질의 매개 효과를 중심으로 = The Impact of Generative AI Collaboration on Organizational Collaborative Work Efficiency: Focusing on the Mediating Effect of Decision Quality

다국어 초록 (Multilingual Abstract)

Research topics: Structural Relationship between Generative AI Collaboration and Collaborative Work Efficiency: Focusing on the Mediating Role of Decision Quality · Research background: To address the discrepancy where individual AI productivity fails to improve organizational performance, this study identifies the structural path linking AI collaboration to team-level 'Collaborative Work Efficiency‘.
· Differences from prior research: Defining AI as a collaborative partner, this study investigated organizational collaborative work efficiency by validating 'decision quality' as a key mediator.
· Research method: Data from online surveys were analyzed using SmartPLS 4.0. After verifying the measurement model's reliability and validity, hypotheses were tested via the structural model.
· Research results: Digital literacy and performance expectancy significantly drove AI collaboration, unlike effort expectancy. Notably, AI collaboration enhanced organizational performance solely through the full mediation of ‘decision quality,’ rather than directly increasing efficienc · Contribution points and expected effects: Proving that practical utility outweighs ease of use in Generative AI adoption, companies should shift from functional training to enhancing 'decision-making capabilities' for critical analysis and optimal choice.