Digital Sustainability Sequencing: A Framework for Navigating Nonlinear Pathways in Organizational and Eco‐System Transitions

ABSTRACT Digital transformation and sustainability are increasingly interconnected, yet their strategic sequencing remains undertheorized. This study introduces the Digital Sustainability Sequencing (DSS) framework, a midlevel model that guides organizations in aligning digital capabilities with sustainability goals through nonlinear pathways. Methodologically, the framework is developed through a systematic review of 155 peer‐reviewed articles and 30 analytical memos, validated via bibliometric mapping and two detailed real‐world cases: Van Wijhe Verf (SME transition) and Amsterdam Smart City (ecosystem orchestration). The DSS identifies three interrelated phases: (1) Digital Infrastructure for Operational Efficiency (DSS1), (2) Intelligent Integration for Sustainable Value (DSS2), and (3) Regenerative Ecosystem Models (DSS3). Each phase is synthesized through the DSS‐E rubric, which incorporates ethics via transparency, inclusivity, and accountability. Unlike linear maturity models, the DSS captures path dependency, leapfrogging and regression. The paper offers 11 testable propositions and a diagnostic tool for managers and policymakers to assess readiness and avoid ‘efficiency‐only’ lock‐ins. By bridging micro‐level adoption with macro‐level sustainability transitions, the DSS framework provides a robust, evidence‐based roadmap for regenerative organizational strategies.