Artificial intelligence-driven decision support systems (AI-DSS) are increasingly central to organizational innovation management, yet the mechanisms underlying their adoption remain underexplored. This study develops an integrated theoretical framework combining the Technology-Organization-Environment (TOE) model, Diffusion of Innovations (DOI) theory, and absorptive capacity perspective to explain AI-DSS adoption dynamics. The framework proposes that technological characteristics, organizational factors, and environmental pressures jointly determine AI-DSS adoption, with organizational readiness and absorptive capacity serving as key mediating mechanisms. The model further posits that AI-DSS adoption enhances both exploitative and exploratory innovation through absorptive capacity. By integrating these three theoretical perspectives, this study advances a unified conceptual framework and offers propositions for future empirical testing, along with practical guidance for managers and policymakers navigating AI-DSS implementation. 

Artificial Intelligence, Decision Support Systems, Organizational Innovation, Technology Adoption, TOE Framework, Digital Transformation, Absorptive Capacity

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