Triple Helix Model of university-industry-government cooperation in the context of uncertainties

被引:20
作者
Vaivode, Irena [1 ]
机构
[1] Riga Tech Univ, Kalnciema Str 6, LV-1048 Riga, Latvia
来源
20TH INTERNATIONAL SCIENTIFIC CONFERENCE - ECONOMICS AND MANAGEMENT 2015 (ICEM-2015) | 2015年 / 213卷
关键词
Cartesian coordinate system; Innovation performance; Research and development (R&D); Triple Helix Model; Uncertainty; DEVELOPMENT EFFICIENCY; CROSS-COUNTRY; INNOVATION; PERFORMANCE; SYSTEMS;
D O I
10.1016/j.sbspro.2015.11.526
中图分类号
F [经济];
学科分类号
02 ;
摘要
The purpose of the research is to look for the new ways of the investigation of the subsidy impacts on research and development (R&D) investment and company's innovation performance. Methodology of research based on the papers type or theoretical approach. Innovation performance measured by firms' success in bringing innovations to the market, the share of sales that can attributed to products that were new to the market. R&D efficiency is the essential factor for company's innovation performance, it is the link between R&D input and output. The Triple Helix (TH) model assumes that the driving force of economic development in the post-industrial stage is the production and dissemination of socially organized knowledge. Institutions that generate knowledge increasingly play a role in the networks of relations among the key actors: University (Science), Industry (Business), and Government (Governance). Nowadays the impact of the external environment in particular is critical for innovation under different kinds of the uncertainty. Targeted innovation policy design fosters innovation performance, that is, whether the publicly induced part of the R&D investment translates subsequently into product market innovations. New research framework is created for practical implementation. (C) 2015 Published by Elsevier Ltd.
引用
收藏
页码:1063 / 1067
页数:5
相关论文
共 14 条
[1]  
Atkinson RobertD., 2012, The Global Innovation Policy Index
[2]   Perceived Environment Uncertainty, Business Strategy, Performance Measurement Systems and Organizational Performance [J].
Bastian, Elvin ;
Muchlish, Munawar .
INTERNATIONAL CONGRESS ON INTERDISCIPLINARY BUSINESS AND SOCIAL SCIENCES 2012 (ICIBSOS 2012), 2012, 65 :787-792
[3]   What do business models do? Innovation devices in technology entrepreneurship [J].
Doganova, Liliana ;
Eyquem-Renault, Marie .
RESEARCH POLICY, 2009, 38 (10) :1559-1570
[4]   Managing technological and social uncertainties of innovation: The evolution of Brazilian energy and agriculture [J].
Hall, Jeremy ;
Matos, Stelvia ;
Silvestre, Bruno ;
Martin, Michael .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2011, 78 (07) :1147-1157
[5]   Measuring the change in R&D efficiency of the Japanese pharmaceutical industry [J].
Hashimoto, Akihiro ;
Haneda, Shoko .
RESEARCH POLICY, 2008, 37 (10) :1829-1836
[6]   External environment, the innovating organization, and its individuals: A multilevel model for identifying innovation barriers accounting for social uncertainties [J].
Hueske, Anne-Karen ;
Endrikat, Jan ;
Guenther, Edeltraud .
JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT, 2015, 35 :45-70
[7]   Rotational symmetry and the transformation of innovation systems in a Triple Helix of university-industry-government relations [J].
Ivanova, Inga A. ;
Leydesdorff, Loet .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2014, 86 :143-156
[8]   Evaluating research efficiency within National R&D Programmes [J].
Jimenez-Saez, Fernando ;
Zabala-Iturriagagoitia, Jon Mikel ;
Zofio, Jose L. ;
Castro-Martinez, Elena .
RESEARCH POLICY, 2011, 40 (02) :230-241
[9]   Science, technology and innovation in a 21st century context [J].
Marburger, John H., III .
POLICY SCIENCES, 2011, 44 (03) :209-213
[10]  
Matos S., 2011, INTRO ELECT AGE, P281