Query: factors influencing technological innovation

title: FACTOR INFLUENCING TECHNOLOGICAL INNOVATION PERFORMANCE
abstract: Innovation is not just an individual study by a company or an entrepreneur, but it has to be in a larger system that enables innovation. There is a need, therefore to study the external and internal factors that influence the output of technological innovation. The goal of this study was to identify the factor that influence of the performance in technology innovation defined from several researchers. The role of innovation as a critical factor influencing a company's business creativity and competitiveness make it essential to growth of productivity and productivity of the industry. Various studies of innovation is identified as helping companies open new markets and gain competitive advantage succeeded in increasing market share and achieving sustainable competitiveness.

title: Fuzzy Cognitive Research on Factors Influencing Technological Innovation From Path Dependence Perspective

title: Dynamic Analysis of the Factors Influencing Technological Innovation in China Empirical Research Based on SVAR Model
abstract: This article applies SVAR technology to build a SVAR(3) model,discussing the short term and long term relations between technological innovation,RD,researchers and system of "Exchange Market for Technology".Studies show that:first,other than RD and researchers,system of "Exchange Market for Technology" is another important resource influencing technological innovation in China.In the short term,the system of "Exchange Market for Technology" changes the incentive mechanism of technological innovation investment through market substitution mechanism,which leads to part of domestic enterprises preference to introduce technology and suppress independent innovation.But in the long term,the technology spillover effects of FDI that the system brings about promote technological innovation.Second,there is a reciprocal causation and interactive relationship between technological innovation and RD,but reverse incentive and pulling function of the achievements in scientific research for the researcher growth is not obvious.System of "Exchange Market for Technology" accelerates RD investment.Third,technological innovation exhibits diminishing returns to scale,and RD is the major guarantee of the sustainable technological innovation growth.

title: EXAMINING FACTORS INFLUENCING TECHNOLOGICAL INNOVATION IN RURAL SMALL FOOD INDUSTRIES OF TEHRAN

title: A comparative study of the effects of different factors on firm technological innovation performance in different high tech industries
abstract: This paper aims to examine the different impacts of six variables on firm technological innovation performance in different high tech industries in China. Through a comparative analysis of data about growth enterprises market board (GEM) listed companies, this study attempts to get some conclusions, to help firms in different high tech industries use resources more rationally and to improve technological innovation performance more effectively.  This paper constructs semi parametric models based on the relevant data of GEM listed companies during 2010 to 2015 for different high tech industries. These models can ensure that the influencing factors of firm technological innovation performance are no longer restricted to a particular aspect but can provide a comprehensive comparative analysis of the effects of factors on firm technological innovation performance in different high tech industries.  The empirical results show that R&D expenditures have a significant positive impact on firm technological innovation performance in most high tech industries, but not in electronic and communication equipment manufacturing industry; R&D personnel investment and government subsidies have significant positive impacts on firm technological innovation performance in knowledge oriented industries; technology diversity has a significant positive impact on firm technological innovation performance in technology oriented industries; the proportion of exports shows an inverted U shaped relationship with firm technological innovation performance in electronic and communication equipment manufacturing industry, while firm size shows an inverted U shaped relationship with firm technological innovation performance in general equipment manufacturing industry; and the effect of semi parametric model fit is superior to the general parameters model.  Drawing on the resource dependence perspective, this paper is the first to consider a comprehensive treatment of differential effects of internal resources (R&D personnel, R&D expenditure) external resources (government subsides) and firm characteristics (firm size, export ratio) on firm technological innovation performance in different high tech industries in an emerging country, in particular in contrast to previous studies that have focused on a single industry or taken the type of industry as a control variable. In addition, most studies about the determinants of firm innovation performance are based on survey questionnaires, which may introduce large subjective errors. Setting the relationship between variables in advance may also introduce fit error when using a general parameter model. Semi parametric regression which is used in this paper is able to prevent this shortcoming effectively. When constructing a regression model, this can be exempted from the formal constraints, thus estimating data more accurately and ensuring superior fit.

title: Factors influencing teachers' innovative teaching behaviour with information and communication technology (ICT) the mediator role of organisational innovation climate
abstract: The aim of this study was to analyze the correlation among teachers' perceived acceptance of technological innovation, organisations' innovation climate, and innovative teaching using information and communication technology (ICT) in Taiwan. The participants (N 482) responded to a questionnaire using a five point Likert scale for each factor, and their responses were analyzed using structural equation modeling (SEM) This research found that an organisation's innovation climate is significantly and positively related with innovative teaching using ICT, and that the acceptance of technological innovation is significantly and positively related with innovative teaching using ICT, as supported by the organisation's innovation climate. The influence pattern and empirical data of the acceptance of technological innovation and the organisation's innovation climate on innovative teaching with ICT exhibited a good fit. The implications of such findings were discussed.

title: Exploring the Factors Influencing Business Model Innovation Using Grounded Theory: The Case of a Chinese High End Equipment Manufacturer
abstract: Business model innovation is vitally important for firms to gain competitive advantages and improve their performance. While it has attracted much attention recently, considerable work is still needed to properly understand business model innovation. This study aims to examine the factors influencing business model innovation through a case study of Shaanxi Blower, a high end equipment manufacturer in China. Using grounded theory in terms of open coding, axial coding and selective coding, this case study found seven main factors that influenced business model innovation, namely, market pressure, government policy, entrepreneurship, culture and strategy, technology, human resources, and organizational capabilities. Market pressure, government policy and information technology are external factors, whereas, entrepreneurship and technological innovation are internal factors. Culture and strategy, human resources, and organizational capabilities are the guarantee factors. This study's findings add to the growing literature by developing a more holistic understanding of the factors that influence business model innovation in the Chinese context, which indicates a possibility for Chinese high end equipment manufacturers to improve their competitiveness and performance through better management of their business model innovation.

title: Evaluation of Factors Influencing Technological Innovations of Small and Medium Enterprises in Nigerian Industrial Estates
abstract: Innovation is not just an individual act of learning by a firm or entrepreneur, but anchored within a larger system that enables and draws on the innovation process. Hence there is need to study internal and external factors that influence technological innovation outputs of small and medium enterprises (SMEs) SMEs at four industrial estates in Nigeria were sampled for this study. Several internal factors such as firm size, turnover, age, ownership, and expenditure on innovation activities did not have significant relationships with innovation output, signifying they are not the factors promoting innovation levels. Quality of human resources and interactions with suppliers as an external factor within the national innovation system (NIS) both made significant impact on innovation. Innovative performance of the firms is mainly influenced by demand or market pull factors more than technology push sources. The study recommends increasing interaction and dynamism within the NIS; substantial investment to galvanize industrial and technological capabilities of the firms and their supply chains; and adequate supply of infrastructure and funds to SMEs.

title: Benchmarking of factors influencing adoption of innovation in software product SMEs
abstract: The purpose of this paper is to investigate the factors influencing small and medium enterprises' (SMEs) adoption of innovation approaches.  The methodology involves two steps. First, all the variables relevant to the adoption of innovation in SMEs are identified. Subsequently, primary data are gathered from decision makers of 213 SMEs, and a multinomial logistic regression analysis is performed.  The results indicate that SMEs adopt both open innovation and closed innovation approaches. The firm level factors such as firm age, firm size, education qualification, work experience and culture, and external factors such as customers, competition, technological advances and ecosystem influence adoption of open innovation approach compared to closed innovation approach. Factors such as culture among firm level factors and competition among external factors influence the adoption of closed innovation approach.  The study helps the managers or the decision makers of the SMEs to know the suitable factors influencing the firm to adopt innovation which could potentially help the firms in their business strategy.  The study explores the adoption of innovation approaches of SMEs in emerging economies. The outcomes of this research have far reaching implications for theory and practitioners in emerging economies.

title: Innovation performance and influencing factors of low carbon technological innovation under the global value chain: A case of Chinese manufacturing industry
abstract: Combing the global value chain framework and linear innovation process model, this paper analyzes the innovation performance of low carbon technological innovation activities under the global value chain and the influencing factors. Other than previous research on sustainable technological innovation with major focus on radical innovation and socio technical system transitions activities, this paper places focus on the general innovation characteristics of low carbon technologies through an integrating view of global value chain and linear innovation process. This paper proposes an analytical framework of the linear innovation process under the global value chain, and uses factor analysis and a DEA Tobit two stage method to analyze the low carbon technological innovation performance and its influencing factors of China's manufacturing industry under global value chain. The results show that the low carbon technological innovation performance is diverse across different manufacturing industries in China. Moreover, among the three major influencing factors, government regulation is the only factor that shows a positive influence on low carbon technological innovation performance, yet the effect is quite weak. Technology push displays a negative effect, and the impact of market pull on low carbon technological innovation performance is not significant.