Research shows compensation structure misaligns with strategic goals in non-employee directors at NVIDIA, suggesting improvements to governance efficiency.
Against the backdrop of rapid transformation in the global technology industry, this study takes the compensation system of non-employee directors at NVIDIA Corporation as its research object. By integrating strategic management and human resource governance theories, it conducts an in-depth analysis of the alignment between the compensation structure and the company's technological strategic goals. The research finds that the current system has core contradictions such as insufficient incentives for strategic decision-making, a disconnect between equity rewards and technological milestones, and ambiguous information disclosure that weakens the trust of stakeholders. Based on this, the study proposes a mechanism that dynamically links compensation to the research and development stages of artificial intelligence chips, introduces natural language processing technology to construct a quantitative assessment model of human capital, and designs a transparent information disclosure system by drawing on digital twin technology. At the same time, it points out that the research is limited by a single case sample, data availability, and the dynamic nature of technology. In the future, it can be further expanded to cross-cultural governance comparisons and blockchain technology empowerment. The research results not only provide a path reference for NVIDIA to optimize governance efficiency but also enrich the theoretical framework of board compensation in technology-intensive enterprises by constructing a knowledge capital pricing model.
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Yingjun Lu (2025) studied this question.
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