Innovative Ecosystem of the Territory: Design, Assessment and Management Models

Abstract

   The necessity of creation and implementing innovations, as well as the growth of ecosystems, are significant trends in modern economic development. Their combination and unification in the format of an innovation ecosystem opens up new opportunities and poses new research challenges.   Therefore, the purpose of this article is to identify promising models for coordinating network interactions in the process of creating common innovative value, as well as developing tools for justifying the choice of the most appropriate formats for coordinating ecosystem interactions (an orchestration, in other words).   The theoretical and methodological basis of the study includes: the concept of ecosystems, innovative value creation networks, role design and models of ecosystem interactions coordination, the concept, and models of assessing digital maturity. Based on the results of the analysis, promising models of ecosystem management were identified: hybrid orchestration, multi-orchestration and multi-tier orchestration. The characteristics of ecosystem roles are given, their influence on the success of creating overall innovative value is noted. An approach is proposed to determine possible ecosystem roles based on the ratio of maturity levels of participants and the ecosystem as a whole. A structured analysis of various approaches to assessing ecosystem maturity was carried out. The tools developed by the authors to justify the choice of ecosystem orchestration formats have scientific novelty: a framework for the formation of management and cooperation models in an innovation ecosystem and the structure of a flexible multi-component model for assessing the maturity of a territory’s innovation ecosystem. The practical significance of the proposed tools is that they will allow making more informed decisions in the field of ecosystem orchestration by combining and systematizing key aspects of creating shared innovative value and modern management models.