Beyond Digital Transformation

The K-pop Industry as a Prototype of Algorithmic and Human Co-Evolution

Abstract

While many organizations still approach digital transformation as the adoption of technologies to improve performance, some industries have long operated within fully platformized environments. Building on research that conceptualizes K-pop as a cultural, marketing, and branding ecosystem, this paper argues that the K-pop industry exemplifies an advanced form of digital readiness that challenges linear, technology-centric models of transformation. Rather than treating digital transformation as a progression toward a stable end-state, the study conceptualizes K-pop as a system of algorithmic and human co-evolution in which organizations, platforms, algorithms, and users continuously adapt to one another. Drawing on qualitative research and netnographic evidence, the paper examines how K-pop entertainment companies operationalize platform-based business models, data-driven personalization strategies, and participatory ecosystems in which users actively contribute to value creation. The findings show that algorithms mediate visibility, engagement, and circulation, while organizations and users continuously adjust their practices in response to recursive digital feedback loops. Based on these dynamics, the paper develops the Digital Co-Evolution Model, which reconceptualizes digital transformation as a continuous, non-linear process sustained through interaction between technological infrastructures and human practices. By reframing digital transformation as co-evolution rather than technological adoption, the study contributes to digital innovation and platform research and offers strategic insights for organizations seeking to operate effectively in highly platformized environments.