scholarly journals Study on Technological Innovation Influencing Factors of Sci-tech Enterprises in Ningbo

2016 ◽  
Author(s):  
Jianchun Li ◽  
Chunzhao Liu ◽  
Weichao Yang
Keyword(s):  
Influencing Factors ◽  
Technological Innovation

A Study on Influencing Factors of SMEs Pursuing Open and Technological Innovation

2019 ◽  
Vol 4 (2) ◽  
pp. 1-24
Author(s):  
Robinder Nath Sachdev ◽  
Sugin Chang ◽  
Yeonshik Kim
Keyword(s):  
Influencing Factors ◽  
Technological Innovation

Technological Innovation in Academic Libraries Among Universities

2019 ◽  
pp. 265-291
Author(s):  
Champeswar Mishra ◽  
Surendra Kumar Pal ◽  
Amitabh Kumar Manglam
Keyword(s):  
Influencing Factors ◽  
Technological Innovation ◽  
21St Century ◽  
Educational System ◽  
Academic Libraries ◽  
Innovative Behavior ◽  
University Libraries ◽  
Innovative Solution ◽  
Information And Communication ◽  
The University

Innovation is no longer an option but a necessity for an organization to survive during a crisis. Innovations in terms of products, process, technologies, and services, can effectively be used to resolve the crisis of the current educational system to survive and thrive in the 21st century. Academic libraries should re-think and re-invent the existing technologies, services, and facilities to fulfill the demands of users. Management, organization, and dissemination of information can be done quickly and effectively with the application of information and communication technology (ICT) in an innovative way. Technological innovation (TI) can be considered as an innovative solution for the sustenance of libraries during a crisis. This chapter attempts to describe the essence of TI in academic libraries and highlights the perceptions of librarians on TI in the university libraries system in India. Therefore, this chapter will explore individual innovative behavior and its influencing factors on technological innovation in academic libraries in Indian universities.

Research on the influence of dual governance on the vulnerability of technology innovation network in major engineering projects

2020 ◽  
pp. 002072092094060
Author(s):  
Bin Guo ◽  
Zijing Cheng ◽  
Tao Feng
Keyword(s):  
Transaction Cost ◽  
Influencing Factors ◽  
Technological Innovation ◽  
Contract Theory ◽  
Reference Value ◽  
Transaction Cost Theory ◽  
Innovation Network ◽  
Information Communication ◽  
Complex Network Theory ◽  
Engineering Projects

In recent years, the technological innovation network of major engineering projects has developed rapidly in China. However, there are still some problems in the technological innovation network of major engineering projects, such as unclear responsibilities and rights among innovation subjects, and poor information communication, which make the technological innovation network of major engineering projects present low safety. The technological innovation network of major engineering projects is an alliance, and the dual governance consisting of formal contract governance and relational contract governance is an effective way to solve the alliance problem. Due to the transaction cost theory and relationship contract theory, identify the influencing factors of dual governance on the vulnerability of technological innovation network of major engineering projects through literature analysis. Therefore, it is necessary to discuss the fragility of dual governance to the technological innovation network of major engineering projects. First, according to the transaction cost theory and relationship contract theory, the paper identifies the influencing factors of dual governance on the vulnerability of technological innovation network of major engineering projects. Then, using the complex network theory, a network model of influencing factors of technological innovation network vulnerability for major engineering projects is constructed, and MATLAB is used to simulate and analyze its vulnerability. The results are compared with the relevant network topology parameters, and finally the recommendations for reducing vulnerability are proposed. The findings provide a certain reference value for management and decision-making in the process of technological innovation of major engineering projects.

scholarly journals THE REGIONAL DISPARITY OF INFLUENCING FACTORS OF TECHNOLOGICAL INNOVATION IN CHINA: EVIDENCE FROM HIGH-TECH INDUSTRY

2021 ◽  
Vol 0 (0) ◽  
pp. 1-22
Author(s):  
Yongli Zhang
Keyword(s):  
Influencing Factors ◽  
Technological Innovation ◽  
Economic Transformation ◽  
Government Support ◽  
Central China ◽  
Western China ◽  
High Tech ◽  
Foreign Technology ◽  
Technology Spillover ◽  
Market Environment

Accurate analysis of technological innovation mechanism in different regions is the key to promoting China’s technological innovation, economic transformation and upgrading. This paper collected statistical data of high-tech enterprises in 27 provinces in China from 2009 to 2016, established a novel PSO-GRNN model, and applied sensitivity analysis to explore the influencing factors and regional differences of enterprise technological innovation in Eastern, Central and Western China. The empirical results showed that the influencing factors were innovation investment, market environment, government support and foreign technology spillover sorting by impact size. Innovation investment was the decisive factor of technological innovation, but innovation resources mainly concentrated on Eastern China, severely insufficient in Central and Western China. Market environment was favorable to Eastern and Central China, but unfavorable to Western China, which restricted greatly the development of Western China. The principalagent problem of state-owned enterprise and the crowding out effect of government research and development funds jointly led to the negative influence of government support on technological innovation. Foreign technology spillover had significant positive effects on technological innovation in Western China. This paper clarifies some disputes about influencing factors of technological innovation and provides a new research perspective for related issues.

scholarly journals Research on the Dynamic Evolution of Scientific and Technological Innovation Efficiency in Universities and Identification of Influencing factors—based on Markov Chain Estimation and GMM Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Quanzhi Luo
Keyword(s):  
Markov Chain ◽  
Influencing Factors ◽  
Technological Innovation ◽  
Generalized Method Of Moments ◽  
Government Support ◽  
Dynamic Evolution ◽  
Innovation Activities ◽  
Spatial Differences ◽  
Path Dependent ◽  
Comprehensive Measurement

A scientific and comprehensive measurement of the efficiency of scientific and technological innovation activities is the basis and prerequisite for evaluating the existing environment and conditions of universities and is conducive for improving the efficiency and promoting the development of provincial economy. The paper selects the DEA (Data Envelopment Analysis) method to measure the efficiency of scientific and technological innovation in universities of China from 2007 to 2019 and studies its spatial differences. Then, the paper uses Markov chain estimation to describe the dynamic evolution process of the efficiency, and finally uses system GMM (generalized method of moments) model to identify the key influencing factors of its efficiency. The conclusions obtained are as follows: (1) The scientific and technological innovation efficiency in universities presents the highest distribution characteristics in the eastern part, the western part of China has the lowest, and the central part is midway of the two regions. There are significant differences between regions. (2) During the entire observation period, the efficiency in each region showed a path-dependent characteristic. After 2016, the mobility of different levels of technological innovation efficiency of universities in eastern part of China has increased, while in the central and western parts of China it tends to be stable. (3) Economic advantages, location advantages, government support, research and development foundation, and the efficiency of scientific and technological innovation in universities have a significant relationship, and the results are different in different regions.

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