From ideology to design: Toward purposeful decentralization of information systems governance

As digital infrastructures become increasingly central to economic activity, governance, and everyday life, debates about the centralization and decentralization of information systems have resurfaced with renewed intensity. From cloud platforms and blockchain systems to large language models (LLMs) and AI-based services, questions about who controls data, computation, and decision-making have shifted from technical concerns to matters of societal importance. Rather than progressing linearly toward either centralized or decentralized forms, information systems have historically exhibited repeated shifts in how control and coordination are organized. Early phases of technological development often concentrate expertise, infrastructure, and decision authority in a limited set of actors to enable scale and reliability. Over time, growing concerns about dependency, legitimacy, and accountability have been associated with initiatives aimed at broadening participation or redistributing selected forms of control. This article introduces the (De)centralization Dynamics Pendulum (DDP) as a lens for understanding how purposeful information systems decentralization emerges through experimentation, governance, and policy responses, treating decentralization as a design and governance choice rather than an ideological endpoint.