NAVIGATING TRENDS AND TENSIONS IN DIGITAL TRANSFORMATION: A SYSTEMATIC REVIEW
DOI:
https://doi.org/10.31947/aiccon2025.v1i1.47744Keywords:
Digital transformation, Artificial Intelligence personalization, user engagement, Digital Ethic, behavioral adaptation, user-centric technologies, digital innovationAbstract
Digital transformation studies have undergone significant structural and thematic development, driven by technological advancement and societal demand for personalized, ethical digital services. This studies adopted a living systematic review methodology, combining bibliometric and thematic analyses peer-reviewed publications drawn from Scopus and Web of Science. The studies were selected based on their relevance to themed as Artificial Intelligence personalization, sentiment analysis, recommendation systems, and digital ethics. Bibliometric analysis highlights evolving trends in scholarly collaboration and authorship patterns, indicating a growing international engagement in this field. Thematic evolution points to key areas of focus, including sentiment analysis, deep learning, and AI-driven personalization. Thematic evolution analysis identified motor themes such as sentiment analysis, deep learning, and Artificial Intelligence personalization, while ethical considerations and privacy concerns remained underrepresented. Key contributors included scholars from Asia, with China and India leading global outputs, alongside emerging voices from Africa and Southeast Asia. Although citation patterns have varied over time, recent publications reveal a strengthening trend towards interdisciplinary integration. These findings indicate a transition from expansive to refined inquiry in digital innovation research. The study emphasizes the need for frameworks that incorporate ethical design and cross-cultural adaptability. It serves as a resource for researchers and policymakers aiming to align digital systems with human values in an increasingly connected world.
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