Integrating Decision-Making, Technology Adoption Models, and Interoperability Frameworks: A Multilevel Theoretical Framework for Cybersecurity Technology Adoption

The accelerating expansion of digitally interconnected environments has heightened the importance of the knowledge economy, in which organizational resilience increasingly depends on the capacity to evaluate, adopt, and institutionalize cybersecurity technologies through knowledge-driven decision-making processes. Existing literature offers extensive explanations of cybersecurity adoption through isolated perspectives – decision theory, diffusion models, technology acceptance frameworks, or interoperability architectures – yet lacks an integrated theoretical explanation linking these dimensions into a coherent multilevel adoption continuum. This study aims to develop a novel conceptual framework that explains cybersecurity technology adoption as an iterative process linking cognitive decision-making, organizational adoption behavior, and systemic interoperability across digital ecosystems. The proposed framework integrates four interdependent analytical levels: micro-level decision science and bounded rationality; meso-level diffusion processes; organizational-level technology adoption mechanisms (TAM, TTF, UTAUT); and macro-level interoperability structures (LISI, LCIM, EIF). The scientific novelty of the framework lies in conceptualizing cybersecurity adoption not as a discrete implementation event but as a recursive, multilevel continuum in which individual cognition, social influence, organizational acceptance, and institutional integration mutually reinforce one another. Unlike existing models, which predominantly examine adoption determinants in isolation, the proposed concept synthesizes decision science, innovation diffusion, behavioral acceptance theories, and interoperability architectures into a single explanatory framework that captures both technological utilization and long-term institutionalization. The framework reveals a new theoretical regularity whereby bounded rational decision processes at the individual level influence organizational adoption trajectories, which subsequently shape interoperability requirements and, over time, redefine future decision environments. A second theoretical pattern identified is that interoperability should be understood not merely as a technical outcome of adoption but as an active mechanism shaping knowledge exchange, organizational learning, and sustained cybersecurity utilization within complex socio-technical systems. These findings open new avenues for empirical validation through qualitative, Delphi, and organizational case study approaches, while providing a theoretical foundation for future research on cybersecurity governance, digital transformation, organizational learning, and knowledge economy dynamics.