Multinational enterprises are under increasing pressure to make strategic investment decisions that are both financially responsible and in accordance with sustainable computing and responsible leadership. This research determines the role of decision-maker quality as a predictor of sustainable investment efficiency in multinational enterprise systems; therefore, integrating human behavioral factors into profitable investment and decision-making capital accumulation investment models is the focus. The study of this research utilized a sample from 837 firm-year observations of Chinese publicly listed firms from 2016 to 2018, and employed a regression-based methodology to assess whether the relative compensation of the top decision-maker will positively affect investment efficiency associated with cross-border investments. The study found a significant positive relationship between decision-making quality and sustainable investment efficiencies which suggest that human behavior should be considered in data-driven decision support systems. This delineation clearly marked the alignment of investment behavior(s) to computational efficiencies/globalized profit potential and not simply to capital accumulation strategy or profit maximization style. This paper enhances the scholarship in the fields of human-AI collaboration, eco-efficient enterprise systems, and responsible computing, clarified and supports a future-proofed responsible approach to computing that enables sustainability objectives.