scholarly journals Cross-Border Regional Innovation System Integration: An Analytical Framework

2016 ◽  
Vol 108 (6) ◽  
pp. 805-820 ◽  
Author(s):  
Teemu Makkonen ◽  
Adi Weidenfeld ◽  
Allan M. Williams
Keyword(s):  
System Integration ◽  
Innovation System ◽  
Analytical Framework ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Cross Border

The Role of University as Institutional Entrepreneur in Regional Innovation System

2020 ◽  
pp. 133-155 ◽  
Author(s):  
Yuzhuo Cai ◽  
Cui Liu
Keyword(s):  
Institutional Environment ◽  
Innovation System ◽  
Analytical Framework ◽  
Regional Innovation System ◽  
Institutional Entrepreneurship ◽  
Regional Innovation ◽  
Institutional Entrepreneur ◽  
The University ◽  
Tongji University

Recent literature has moved from a primarily economic perspective to awareness of the institutional role of a university in a regional innovation system. This chapter contributes to the scholarly discussions by combining the theories of institutional entrepreneurship and institutional logics to provide an analytical framework for understanding how universities can support institutional change in a regional innovation system. In particular, the authors consider the university as an institutional entrepreneur that not only initiates diverse changes in the institutional environment, but also actively participates in the implementation of such changes. The analytical framework is used to analyse the case of Tongji University in a regional innovation system in Shanghai, China.

scholarly journals Management of Financial and Economic Development of Border Regions of Ukraine

2021 ◽  
Vol 18 ◽  
pp. 595-605
Author(s):  
Kateryna I. Malinoshevska ◽  
Dеnys Martyshyn ◽  
Inga Perestyuk ◽  
Svitlana Panchenko ◽  
Azad Omarov
Keyword(s):  
Economic Development ◽  
Innovation System ◽  
Market Model ◽  
Practical Significance ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Border Regions ◽  
Cross Border ◽  
The Social ◽  
Cross Border Cooperation

The aims of the research are to study the management efficiency of financial and economic development of the border regions of Ukraine through the assessment of funding of the Cross-Border Cooperation Programme Poland-Belarus-Ukraine 2014-2020. The methodology is based on quantitative and qualitative research following the concept of “cross-border regional innovation system”. The basic research methods are statistical analysis of project financing indicators of the Cooperation Programme and content analysis of reports for 2016-2019 on project implementation. The results demonstrate the crucial role of the proximity of border regions in the level of development of the social-economic system, which accelerates cross-border cooperation and the effects of integration. Quantitative and qualitative assessments of the Programme prove the existence of insignificant short-term effects of cooperation between countries due to different levels of development of the border regions of Ukraine and Poland. The higher level of economic development of Poland’s regions has provided a comparative advantage in the implementation of projects in the framework of the Programme. The formation of a market model of Ukraine’s economy determines the implementation of projects in the social sphere, which in the long run will provide an influx of investment. The practical significance of the results lies in the possibility of using the results of the study in the development of cross-border cooperation programs within the concept of “cross-border regional innovation system”.

Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin
Keyword(s):  
Innovation System ◽  
Small World ◽  
Coupled System ◽  
Mean Value ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Relationship Strength ◽  
Loosely Coupled

A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.

Coopetition strategies of start-ups: evidence from a Spanish regional innovation system

2021 ◽  
Vol 16 (4) ◽  
pp. 694
Author(s):  
Jasmina Berbegal Mirabent ◽  
Dolors Gil Doménech ◽  
Carolina Senent Bailach
Keyword(s):  
Innovation System ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Start Ups

scholarly journals Measuring university–industry collaboration in a regional innovation system

2009 ◽  
Vol 84 (3) ◽  
pp. 649-667 ◽  
Author(s):  
Irene Ramos-Vielba ◽  
Manuel Fernández-Esquinas ◽  
Elena Espinosa-de-los-Monteros
Keyword(s):  
Innovation System ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Industry Collaboration ◽  
University Industry

scholarly journals Modern trends in innovative development ofoil and gas producing region

2015 ◽  
Vol 13 (4) ◽  
pp. 57-62
Author(s):  
Tatyana N Bessonova
Keyword(s):  
Oil And Gas ◽  
Innovation System ◽  
Scientific Research ◽  
Innovation Process ◽  
Organizational Form ◽  
Regional Innovation System ◽  
Innovative Development ◽  
Regional Innovation ◽  
Industrial Sectors ◽  
Modern Development

Abstract: When forming the regional innovation system, everyone should take into account specific conditions and the possibility to develop regional economic complexes. Modern development of oil and gas producing region implies an increase in cooperation between all participants of the innovation process. The most promising organizational form of such an association in Khanty-Mansiysk Autonomous Okrug - Yugra is Yugra Technopolis. It aims to strengthen the interaction of research and industrial sectors, to improve the commercialization of scientific research results

scholarly journals Propuesta de un Método para la Aplicación de un Modelo de Simulación Basada en Agentes del Sistema Regional de Innovación

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
E Embuz ◽  
J D Fernández-Ledesma
Keyword(s):  
Simulation Model ◽  
Innovation System ◽  
Innovation Systems ◽  
Regional Innovation System ◽  
Regional Innovation Systems ◽  
Research Groups ◽  
Regional Innovation ◽  
Regional Systems ◽  
Project Analysis ◽  
Los Grupos

Este artículo propone un método que permite aplicar de forma práctica, precisa y efectiva un Modelo de Simulación Basado en Agentes del Sistema Regional de Innovación (SRI), el cual ha sido desarrollado dentro del Proyecto “Análisis de la Estructura, relaciones y dinámicas de agentes de los Sistemas Regionales de Innovación” liderado por los Grupos de Investigación GISAI y GTI pertenecientes a la Universidad Pontificia Bolivariana sede Medellín. Esta propuesta de método está centrada en una revisión de las necesidades más relevantes de los Sistemas Regionales de Innovación y cómo éstas deben ser suplidas paso a paso a través de la estructura del Modelo de Simulación en su aplicación. AbstractThis paper describes a method of applying a simulation model based on Agents of Regional Innovation System (SRI), which has beendeveloped within the project "Analysis of the structure, relationships and dynamics of agents of the Regional Systems described innovation"led by GISAI Research Groups and belonging to the Universidad Pontificia Bolivariana in Medellín GTI. This proposed method is focusedon a review of the most important needs of the Regional Innovation Systems and how they should be met step by step through the structure of the simulation model in its application.  

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