The ecosystemic governance for impact (EGI) framework: coordinating innovation across actors, tools and value trajectories
D Sarno et al.
What the paper says
Purpose This paper aims to propose the ecosystemic governance for impact (EGI) framework to help innovation ecosystems generate lasting, stakeholder-aligned impact. By combining service-dominant logic (S-D logic), digitalization and Industry 4.0 (D&I4), project management (PM) and benefit realization management (BRM), the framework balances rigor with flexibility to coordinate actors, tools and value co-creation processes. Design/methodology/approach The study employs an abductive, qualitative case study design drawing on a national R&D project (Ditron-C). The analysis integrates data from interviews, project documents, field observations and co-design artifacts, interpreted through four innovation management approaches. Findings The EGI framework structures innovation governance around four phases: co-visioning, co-design, co-realization and co-evolution. Each phase supports structured planning and adaptive coordination among actors, helping translate project outputs into sustained impact. Research limitations/implications Findings are based on a retail innovation project and validated through a cross-sector application. While these cases support the transferability of the framework, further research could examine the applicability of the framework across different ecosystems and in conditions of extreme power asymmetries. Practical implications In practice, EGI helps managers move beyond checklists and dashboards, providing a scaffold that keeps negotiations open and makes impact visible over time. Social implications The framework promotes inclusive governance and participatory alignment among ecosystem actors, enabling innovation processes to support lasting and mutually negotiated impact. Originality/value This paper proposes a mid-range theoretical framework that reframes innovation governance as a reflexive and ecosystemic process.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.