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@article{198780,
        author = {Dr. Madhav Murthy and Sania Bhandari},
        title = {Adaptive Digital Experience Design And AI-Mediated Value Communication in Shaping Platform Adoption},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {14011-14023},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198780},
        abstract = {The growing reliance on digital platforms has changed the emphasis of organizations on the technological functionality to the establishment of meaningful and responsive user experiences. Simultaneously, the rising popularity of the Artificial Intelligence (AI) has altered how digital platforms convey value to users by personalizing, making intelligent recommendations, providing predictive interfaces, and adapting interactions. Consequently, the adoption of a platform is no longer guided by the technical capabilities of a system only, but also by the extent in which it is effective in engaging users, communicating relevance, and creating trust. 
This study focuses on how adaptive digital experience design and AI mediated value communication affect the adoption of digital platforms. The research follows systematic literature review and conceptual research design that is grounded in secondary research. The academic journals, research papers and published studies that were accessible through Google Scholar, ProQuest and EBSCO were used to review relevant literature. The research relies on the theories of Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), customer experience theory and the human-centered design. 
The results indicate that users tend to embrace digital platforms more when they have an intuitive, personalized, relevant, and easy experience. This process can be made more effective through AI-enabled communication which assists platforms in providing recommendations of a context-specific nature, adaptive guidance, and customized interactions to enhance perceived value and user engagement. The issues associated with privacy, trust, absence of transparency, and excessive automation, however, can be detrimental to adoption. 
The study ends with a suggestion of a conceptual model that connects adaptive experience design, AI-facilitated value communication, perceived value, trust, and platform adoption. The study helps in developing a more insightful knowledge on how organizations can establish more efficient digital platforms in a progressively AI-oriented world.},
        keywords = {Adaptive Digital Experience Design, AI-Mediated Value Communication, Platform Adoption, AI Personalization, User Engagement, Perceived Value, Digital Trust, Human-Centered Design, Transparency, Privacy Concerns.},
        month = {April},
        }