scholarly journals Effects of Corporate Technological Innovation Activities on Technological and Management Performance - Focusing on Government Supported Convergence Consulting

2016 ◽  
Vol 9 (41) ◽  
Author(s):  
Chang-Jae Lee ◽  
Yen-Yoo You
Keyword(s):  
Technological Innovation ◽  
Management Performance ◽  
Innovation Activities

scholarly journals The Effects of Patents on the Relationship between R&D Activities and Business Management Performance: Focus on South Korean Venture Companies

2021 ◽  
Vol 7 (4) ◽  
pp. 210
Author(s):  
Seunghoo Jin ◽  
Daeyu Kim
Keyword(s):  
New Technology ◽  
Business Management ◽  
Moderating Effect ◽  
Growth Strategy ◽  
Business Growth ◽  
Management Performance ◽  
Positive Role ◽  
South Korean ◽  
Operating Profit ◽  
Innovation Activities

Today, innovation is achieved by challenging the existing paradigm through cross-field collaboration, and R&D innovation plays a particularly crucial role. This study analyzed the effects of R&D innovation activities on business management performance in South Korea and examined the role that patents play in various R&D innovation activities. Panel regression and moderating effect analyses were conducted on small- and medium-sized venture enterprises that undertook new technology projects over five years (2015–2019). The results showed that R&D innovation activities had a significantly positive effect on both revenue, an indicator of business growth, and operating profit, an indicator of profitability. This implies that such activities play a positive role in management activities. Thus, enterprises should consider R&D innovation activities from a business growth strategy perspective. Additionally, the analysis showed that a firm’s capacity to hold patents on R&D innovation activities has a positive moderating effect on business management performance. This study is significant, as it reveals the cause-and-effect relationship between R&D innovation actives and business management performance as well as the role of various types of innovation. The results could help enterprises to seamlessly implement innovation activities in the future.

scholarly journals Analysis of the Effect of R&D Planning Support for SMEs Using Latent Growth Modeling

2020 ◽  
Vol 12 (3) ◽  
pp. 1018
Author(s):  
Ju Hwan Seo ◽  
Daemyeong Cho
Keyword(s):  
Technological Innovation ◽  
Growth Modeling ◽  
Latent Growth Modeling ◽  
Sustainable Growth ◽  
Policy Support ◽  
Technology Commercialization ◽  
Latent Growth ◽  
Planning Stage ◽  
Planning Support ◽  
Innovation Activities

Small and medium enterprises (SMEs) in Korea play a pivotal role in the national economy. However, due to scale limitations, the resources available to SMEs for innovation activities are limited. Therefore, as a means to compensate for the market failure of SMEs, which can be caused by resource limitations, and to ensure sustainable growth, the government supports the SMEs for innovation activities. Korea has fulfilled SME R&D planning support projects since 2002 to efficiently support SMEs’ technology commercialization activities through systematic support in the early stages of the technology commercialization cycle. In order to analyze the effectiveness of SME R&D planning support program, this study conducted latent growth modeling analysis using financial data of three years of SMEs participating in the program. According to the analysis results, SMEs receiving R&D planning support funds have an increase in sales compared to those that do not. In particular, it was analyzed that the sales increase effect of companies supported by R&D funds continuously appeared more clearly. The result of this analysis is that policy support for SMEs can help technological innovation activities necessary for R&D planning, which is an early stage of SME technological innovation. This study is meaningful in that it quantitatively analyzes using latent growth model and the contribution of government support at the R&D planning stage to SMEs’ innovation capabilities and their contribution to performance. However, it has a limitation that it does not address the specific impact path of the planning stage support on innovation capacity and innovation performance.

National Technological Innovation Output Capacity Forecast and its Influence Factors Analyses in China

2011 ◽  
Vol 65 ◽  
pp. 568-573
Author(s):  
Xiao Hong Li
Keyword(s):  
Public Education ◽  
Technological Innovation ◽  
Statistical Data ◽  
Influence Factors ◽  
External Environment ◽  
Total Degree ◽  
Output Capacity ◽  
Innovation Activities ◽  
Dependent Variables ◽  
Innovation Output

This paper aims to measure nation technological innovation output capacity and its developing tendency of China. The influence factors that impact the output of national innovation mainly come from three aspects. They are technological innovation activities, innovation external environment, and potential technological innovation resources. We finally adopt four factors (Expenditure for R&D (X1), Governmental capitals for R&D with percentage of GDP (X2), R&D persons per million labors (X3), Expenses of public education with percentage of GDP (X4)) to estimate the innovation output (measure by number of patents application accepted). Results of regression model that uses statistical data from 1989 to 2009 indicate total degree of correlation between them is 99.9%. All Variables play significant linear actions to dependent variables Y except X4. The number of patents application accepted per million persons is 9.518 (1276 thousand pieces in total) in 2010, with an error of 4.42%. This study may be useful for innovation output prediction and relevant decision making of China.

scholarly journals Analysis on the Efficiency of Technology Innovation of Listed Companies in China's Machinery Manufacturing Industry

2018 ◽  
Vol 2 (3) ◽  
pp. 64
Author(s):  
Ye Ren
Keyword(s):  
Panel Data ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
Technology Innovation ◽  
Listed Companies ◽  
Innovation Activities ◽  
Dea Method ◽  
Definition Of ◽  
Machinery Manufacturing

on the basis of the definition of technological innovation and efficiency, based on the DEA method, this paper takes the panel data of 20 listed companies in China's machinery manufacturing industry from 2011 to 2015 as samples, evaluating the technological innovation efficiency of listed companies in China's machinery manufacturing industry. Finally, it sums up and puts forward effective countermeasures to improve the technological innovation of listed companies in China's machinery manufacturing industry. It is hoped that it will play a guiding role in the technological innovation activities of listed companies in China's machinery manufacturing industry.

scholarly journals Technology sharing game from ecological perspective

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hua Zou ◽  
Deyu He
Keyword(s):  
Technological Innovation ◽  
Evolutionary Game ◽  
Innovation Ecosystem ◽  
Competition And Cooperation ◽  
Innovation Activities ◽  
Enterprise Technology ◽  
Innovation Platform ◽  
Relationship Of ◽  
Main Relationship ◽  
Insight Into

Abstract New technological revolution has brought about significant changes in technological innovation activities. The platform has become an indispensable part of the innovation ecosystem of technology-intensive enterprises, which is derived from enterprise technology sharing. The main relationship of the innovation ecosystem is competition and cooperation. We use evolutionary game theory to consider the sharing behaviour of two enterprises in terms of different implicit parameters, thereby providing insight into the design of innovation ecosystem and technology innovation platform policies that promote open and shared technological innovation.

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