Governance tools for stakeholder interaction in the innovation economy

Abstract

This paper explores governance tools designed to enhance stakeholder interaction within innovation policy frameworks, particularly in the context of Ukraine’s dynamic and crisis-affected economy. The study addresses the lack of structured and adaptive information and analytical support (IAS) necessary for effective collaboration among education, science, and business actors. Using a process-spatial modeling approach based on the function modeling IDEF0 methodology and ERwin Model Navigator, the research develops a comprehensive governance model that integrates institutional levels, resource flows, and temporal dynamics. The proposed IAS framework supports data-driven decision-making, transparency, and coordination across stakeholder groups, offering actionable mechanisms for shaping responsive and inclusive innovation policies. The model covers international, national, and regional levels and identifies key IAS resources (financial, intellectual, technological, etc.) and time intervals (pre-2019 sustainable development, COVID-19 crisis 2020–2021, and wartime economy from 2022). The analytical tools employed include strategic, operational, qualitative, and causal methods. The findings offer a systematized framework for improving collaboration among stakeholders and forming policy-relevant strategies in innovation ecosystems. The research builds on the conceptual foundations of Schumpeter (1911) and the stakeholder-focused innovation system approach of Lundvall (1992), contributing to ongoing efforts to strengthen Ukraine’s integration into global innovation processes.