Developing the Innovation Ecosystem of a Large Enterprise

2021 ◽  
Vol 27 (5) ◽  
pp. 324-335
Author(s):  
E. V. Popov ◽  
V. L. Simonova ◽  
I. P. Chelak
Keyword(s):  
Analytical Model ◽  
Ecosystem Management ◽  
Ecosystem Dynamics ◽  
High Tech ◽  
Ecosystem Development ◽  
Innovation Ecosystem ◽  
Scientific Publications ◽  
Large Enterprise ◽  
Development Indicators ◽  
Informational Basis

Aim. The presented study aims to verify the author’s analytical model for assessing the development of the innovation ecosystem of a large enterprise.Tasks. The author describes the problems of assessing the level of development of innovative ecosystems; considers the relationship between the indicators of ecosystem dynamics (characterizing the stakeholders of the ecosystem) and the growth rate of production of innovative goods; reveals the specific features of ecosystem management, particularly with regard to interaction with ecosystem stakeholders as a factor in the ecosystem’s development.Methods. The theoretical and methodological basis of this study includes scientific publications on ecosystem genesis and assessment of the development of socio-economic ecosystems. Regression analysis is used to calculate the degree of connectivity between the previously selected indicators affecting the dynamics of production of innovative goods. The informational basis of the study consists of indicators of financial and economic activity of a large industrial enterprise in the Sverdlovsk region as well as indicators characterizing interaction with its stakeholders.Results. Development indicators of the innovation ecosystem of a large enterprise are calculated for 2013-2019 based on its stakeholder decomposition. Factors that are closely linked to the potential aggregate indicator of innovation ecosystem development are identified, and ways to make their analysis less complicated are outlined.Conclusions. Testing of the analytical model for assessing the development of the innovation ecosystem of a high-tech enterprise has revealed the irreducibility of the integral indicator of innovation ecosystem development to the production of new goods. The importance of developing an ecosystem management technology is substantiated.

scholarly journals Research and Development Indicators of EU28 Countries from Viewpoint of Super‑efficiency DEA Analysis

2019 ◽  
Vol 67 (1) ◽  
pp. 225-242 ◽  
Author(s):  
Beáta Gavurová ◽  
Martina Halásková ◽  
Samuel Koróny
Keyword(s):  
Research And Development ◽  
High Tech ◽  
The European Union ◽  
Scientific Publications ◽  
Total Employment ◽  
Super Efficiency ◽  
Development Indicators ◽  
Research Activities ◽  
Starting Point ◽  
Significant Difference

Research and development are important sources of economic growth and social welfare and play a key role in creating new knowledge, products and technological processes. In our paper we focused on the analysis and evaluation of research and innovation potential in the European Union countries in 2010 and 2015 using Data Envelopment Analysis. For the evaluation, seven indicators were selected, as starting point for the evaluation of research activities and the measurement of the innovation performance and of competitiveness of the individual countries. Input capital indicators were – R&D expenditure in the higher education sector and in the business enterprise sector as % of GDP. Input human labour indicators were total researchers (FTE), human resources in science and technology (HRST) as % of active population and employment in total service intensive sectors as % of total employment. Output indicators were the number of scientific publications and high‑tech export as % of total export. On basis of DEA super‑efficiency analyses results we can make following conclusions. The best group of five countries is characterized by efficient status in both analysed periods 2010 and 2015 (Bulgaria, Romania, Cyprus, Croatia and United Kingdom). The second group contains two countries Germany and Italy. This countries improved status from inefficient in 2010 to efficient in 2015. In the third group are five countries that worsened their status from efficient in 2010 to inefficient one in 2015: Portugal, Malta, Poland, Luxembourg and Netherlands. In last fourth group are all other EU28 countries that were inefficient in both analysed periods 2010 and 2015. In group of V4 countries situation is not optimistic. Poland worsened its status from efficient in 2010 to inefficient one in 2015 and three remaining countries – Hungary, Czech Republic and Slovakia stagnated in inefficient status in both periods. On the opposite there was not significant difference in super‑efficiencies in 2010 and in 2015 and in their differences between capitalist and post‑socialist EU28 countries.

scholarly journals Analytical model of innovation ecosystem development

2021 ◽  
Vol 250 ◽  
pp. 01004
Author(s):  
Evgeny Popov ◽  
Ruslan Dolghenko ◽  
Victoria Simonova ◽  
Igor Chelak
Keyword(s):  
Analytical Model ◽  
Global Economy ◽  
System Analysis ◽  
Predictive Analytics ◽  
Ecosystem Approach ◽  
Assessment System ◽  
Future Research ◽  
High Tech ◽  
Innovation Ecosystem ◽  
Economic Relations

The fundamental challenges faced by the global economy with the advent of the COVID-19 pandemic and the prospects for re-globalization provide opportunities for the intensification of the development of new forms of coordination of economic relations – innovative ecosystems (regional, industrial, entrepreneurial). It seems that economic relations are built within the framework of a particular ecosystem, and the scientific descriptive and predictive analytics are not sufficiently able to describe their nature and the main patterns of growth. In order to provide a theoretical and practical contribution to the developing ecosystem approach, the article presents an analytical model of the innovation ecosystem of a high-tech company, proposed for evaluating and comparing its level of development. Research methods include content analysis of scientific literature devoted to the study of innovative ecosystems and approaches to their assessment, system analysis and factor modeling. The research fundament is based on the dynamics of indicators of innovative development of the ecosystem of a large production company in the Sverdlovsk region for 2013-2019. The model was tested according to the indicators of 2018. Further directions of the research in the practical aspect will consist in a comparative analysis of other periods of the company’s activity, as well as in the application and verification of the model on the indicators of other organizations. Justification of the possibilities of creating technologies for managing the innovation ecosystem is seen as a theoretical component of future research.

EVALUATION OF THE EFFECTIVENESS OF INNOVATIVE DEVELOPMENT OF HIGH-TECH SECTORS OF THE RUSSIAN ECONOMY

2021 ◽  
Vol 3 (5) ◽  
pp. 19-22
Author(s):  
A. M. GUBERNATOROV ◽  
Keyword(s):  
Large Scale ◽  
High Tech ◽  
Economic Systems ◽  
Innovative Development ◽  
Development Indicators ◽  
Russian Economy ◽  
Main Development ◽  
Key Indicators ◽  
Digital Processes

The article deals with the management of innovative development of economic systems. Enterprises of high-tech sectors of the economy were selected as the object of the study. It is proved that innovative trans-formations in the chosen industry are inevitable and this industry is undergoing significant transformations caused by large-scale digital processes. It is proved that the effectiveness of the innovative development of the industry is associated with the monitoring of its main development indicators, and therefore a system for evaluating the innovative development of high-tech industries based on key indicators is proposed.

The Lake Duparquet Research and Teaching Forest: Building a foundation for ecosystem management

1999 ◽  
Vol 75 (3) ◽  
pp. 389-393 ◽  
Author(s):  
Brian Harvey
Keyword(s):  
Ecosystem Management ◽  
Forest Ecosystem ◽  
Research Program ◽  
Scientific Basis ◽  
Ecosystem Dynamics ◽  
Fire Disturbance ◽  
Research And Teaching ◽  
Research Activities ◽  
Boreal Shield ◽  
Natural Dynamics

The Lake Duparquet Research and Teaching Forest is situated in northwestern Quebec in the Boreal Shield Ecozone. Managed by two constituents of the Université du Québec, in collaboration with two forest companies, Norbord and Tembec, the Lake Duparquet Forest has a strong research program focussed on natural forest ecosystem dynamics that provides the scientific basis for management and silvicultural trials recently begun in the Forest. A bibliographical review of research activities is presented. Keywords: boreal, mixedwood, natural dynamics, fire, disturbance, ecosystem management, silviculture

scholarly journals Toward the Blueprint of Campus-Based Ecosystems for Innovation

2017 ◽  
Vol 6 (1) ◽  
pp. 84 ◽  
Author(s):  
A. Georges L. Romme
Keyword(s):  
Knowledge Sharing ◽  
Value Chain ◽  
High Tech ◽  
Shared Resources ◽  
Budget Cuts ◽  
Innovation Ecosystem ◽  
Science Park ◽  
Dynamic Portfolio ◽  
High Level ◽  
Innovation Community

The “science park” model has long been showing signs of aging, with many science parks now facing budget cuts by local and regional governments. In this study, we dissect the blueprint of a highly successful campus-based ecosystem, the High Tech Campus Eindhoven (HTCE). As an innovation ecosystem, the HTCE provides its residents (a) access to shared resources and facilities, to facilitate research and product development, and (b) an innovation community that enhances knowledge sharing between people at the campus. The success of the HTCE arises from a deep and inclusive understanding of the conditions in which an ecosystem for research and development can thrive, and the commitment to carefully grow and sustain these conditions. These conditions include: low physical distances between the various buildings, offices and shared facilities; a dynamic portfolio of thematic workshops and meetings stimulate knowledge sharing and informal networking; careful management of the diversity and reputation of the campus; attracting and hosting “connectors” that have the capability to initiate and/or manage collaboration across a newly emerging value chain; and a high level of responsiveness to requests and feedback of residents.

scholarly journals Research and Business Cooperation: International Practice and Siberian Experience

2019 ◽  
pp. 643-659
Author(s):  
Nataliya Kravchenko ◽  
Almira Yusupova ◽  
Svetlana Kuznetsova
Keyword(s):  
Success Factors ◽  
Academic Research ◽  
High Tech ◽  
Educational Organizations ◽  
Regional Innovation ◽  
Innovation Ecosystem ◽  
Level Of Confidence ◽  
Academic Researchers ◽  
Regional Economy Development ◽  
Development Of Partnership

The paper discusses possibilities and directions for bridging the gaps between academic research and business by reducing barriers and strengthening incentives for the development of partnership interactions between participants of the regional innovation ecosystem. Many researchers from developed and developing countries focus on the problems of interaction between universities and companies in order to find ways to increase academic research effectiveness and make the results relevant to the business sector’s real demand. Development of partnership relations is known to be a factor which accelerates creation and dissemination of innovations. Improvement of such relationship favours academic researchers’ possibilities, educational programs adjustment, and regional economy development. Basing on international experience review, the paper determines the main tendencies and perspectives of research – business cooperation as well as key directions of partnership cooperation support. The empirical part of the paper deals with the results of original pilot survey which uses data from a number of research, educational organizations and high tech companies from Novosibirsk region. The aim of the survey was to analyze success factors and main obstacles for sustainable research – business cooperation. Qualitative methods including case studies, interviews, and surveys were used within the research. It is shown that, although all representatives of science and business recognize the need to develop partnership relationships, differences in motivations and conflicting goals of participants still remain. Besides well known barriers (lack of financial and other resources, personnel etc.) some other factors turned to be important. Low level of confidence and negative cooperation experience impede cooperation development. Personal issues and previous successful experience help to develop and improve partnerships. Such cases could be found. State support (especially at the regional level) is quite necessary; it is not limited to financial instruments. Support of communications which helps to increase the level of confidence and to decrease “attrition costs” of cooperation is also of great importance

scholarly journals Co-creation: embedding companies' innovation practices in innovation ecosystem dynamics

2017 ◽  
Author(s):  
Katrin Hahn ◽  
Stefan Kuhlmann ◽  
Kornelia Konrad ◽  
Klaasjan Visscher
Keyword(s):  
Ecosystem Dynamics ◽  
Innovation Ecosystem ◽  
Innovation Practices

The Internet of Nature: How taking nature online can shape urban ecosystems

2019 ◽  
Vol 6 (3) ◽  
pp. 279-287 ◽  
Author(s):  
Nadinè J Galle ◽  
Sophie A Nitoslawski ◽  
Francesco Pilla
Keyword(s):  
Ecosystem Management ◽  
Smart Grids ◽  
Natural Capital ◽  
Smart Cities ◽  
Urban Ecosystems ◽  
Urban Ecosystem ◽  
Natural World ◽  
Ecosystem Dynamics ◽  
The Internet ◽  
Digital Revolution

Many of our cities are going digital. From self-driving cars to smart grids to intelligent traffic signals, these smart cities put data and digital technology to work to drive efficiency and improve the quality of life for citizens. Yet, the natural capital upon which cities rely risks being left behind by the digital revolution. Bringing nature online is the next frontier in ecosystem management and will change our relationship with the natural world in the urban age. In this article, we introduce the ‘Internet of Nature’ to bridge the gap between greener and smarter cities and to explore the future of urban ecosystem management in an age of rapid urbanisation and digitisation. The creation of an Internet of Nature, along with the ecosystem intelligence it provides, is an opportunity to elicit and understand urban ecosystem dynamics, promote self-sufficiency and resilience in ecosystem management and enhance connections between urban social and ecological systems.

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