The innovation ecosystem concept has been widely used as a framework to explain innovation activities within different industries. Despite the usefulness of this approach, the concept is under-theorized, especially with regard to the methodological issues. This article presents a new approach in assessing the effectiveness of innovation industrial ecosystems, allowing to take into account the peculiarities of the life cycle stages of individual innovative projects and an ecosystem as a whole. We illustrate our assumptions on the example of two industrial ecosystems’ projects assessments with appropriate explanations, which help from the academicians, researchers, and readers to receive a comprehensive understanding on how to form a knowledge-intensive ecosystem project portfolio and make managerial decisions on further actions of ecosystem actors regarding project development. The presented methodology has been tested on the example of projects implemented by research centers and laboratories of National University of Science and Technology (MISIS; Moscow, Russia). The propositions arising from this analysis provide information to help academics, policymakers, government, and individual enterprises with a more adequate understanding of the practical mechanisms and tools that help implement the ecosystem model for industrial development.
his paper highlights a sustainability and self-organization perspective of the innovation ecosystems. Such issues as under what conditions self-organization takes place and what mechanisms form an innovation ecosystem in a sustainable way are underexplored in the academic literature. To ensure self-development of actors in the ecosystem, a self-adjustment mechanism is needed that allows implementation of sustainability principles. This article proposes a practical tool for assessing an actor in an ecosystem using the method of analytic hierarchy process (AHP), developed by T. Saaty. It allows for operationalizing the processes of self-organization in the ecosystem without an external intervention and addresses the main implications for sustainable development of innovation industrial ecosystems. The authors illustrate their assumptions with an empirical case study of the industrial ecosystem “Technologies for Improving the Quality of Life” (Moscow, Russia). The propositions arising from this analysis provide information to help academics, policymakers, government, and individual enterprises with a more adequate understanding of the practical mechanisms and tools that help trigger self-organization and sustainable development of the innovation ecosystems.
Currently, rapid urbanization is taking place in Russia under the influence of globalization processes. Russian economic growth is mostly based on the natural resources and the need to speed up its industrialization process. Today there is a change of economic model associated with the transition from the stage of industrialization to the post-industrial economy. Emphasis shifts from production to the provision of services. In the digital economy, where the major resources required for the production of quality products are time and information, the concept of cost management should be reconsidered. The new paradigm of cost management should take into account the changes in approaches to the management of material, labor, and financial costs, and include approaches, tools, and methods of cost control of resources, updated by digital post-industrial economy. A sectorial and territorial specific of the process of change of economic model requires strategic approach to cost management.
User Innovation and the Entrepreneurship Phenomenon in the Digital Economy is an essential reference source for emerging scholarly research on innovative aspects of design, development, and implementation of digital economy initiatives, highlighting the relationship and interaction between humans and technology in modern society. Featuring coverage on a broad range of topics such as electronic commerce, brand promotion, and customer loyalty, this book is ideally designed for academicians, researchers, students, and managers seeking current research on the digital economy.