Optimizing Green Business Information Management Systems Through Carbon-Neutral Digital Transformation Pathway Design
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This research develops a comprehensive framework for optimizing green business information management systems to achieve carbon neutrality goals through digital transformation. The study conducted cross-sector carbon footprint assessments of information systems across six industries, analyzing emission patterns based on operational scales, industry characteristics, and technological architectures. A multi-tiered optimization model was developed targeting infrastructure, data management, and application layers, validated through empirical data from enterprises undergoing digital transformation. Results reveal a strong negative correlation (r = -0.73) between digital maturity indices and emission intensity, with organizations implementing comprehensive digital transformation achieving average carbon reductions of 31% over five years. The proposed multi-tiered optimization approach enabled 42.6% emission reductions, with technology companies achieving 68% reductions. Economic analysis demonstrates return on investment ranging from 132-278% over five-year periods, with payback periods of 14-36 months. This study advances information management theory by integrating technological architecture with environmental performance governance, providing quantifiable carbon assessment methodologies across system layers and practical implementation matrices for industry-specific applications. The framework enables organizations to balance carbon reduction objectives with operational efficiency, addressing the critical gap between theoretical potential and practical implementation in carbon-neutral transformations.
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