Emotional intelligence for board capital on technological innovation performance of high-tech enterprises

2021 ◽  
pp. 101633
Author(s):  
Huidan HUANG ◽  
Xiaosu WANG ◽  
Sudhakar Sengan ◽  
Thota Chandu
Keyword(s):  
Emotional Intelligence ◽  
Technological Innovation ◽  
Innovation Performance ◽  
High Tech ◽  
Board Capital

scholarly journals Performance Appraisal of Technological Innovation in Military-Civilian Enterprises—Empirical Evidence from Jiangsu Military-Civilian Integration Enterprises

2020 ◽  
Vol 15 (11) ◽  
pp. 79
Author(s):  
Xiao L. J. ◽  
Xun Z. X.
Keyword(s):  
Performance Appraisal ◽  
Technological Innovation ◽  
Evaluation System ◽  
Malmquist Index ◽  
Innovation Performance ◽  
High Tech ◽  
Dual Use ◽  
Index Method ◽  
Research Objects ◽  
Management Capabilities

The development of military-civilian dual-use high-tech and joint technological innovation is important for military-civilian integration enterprises to develop in-depth military-civilian integration. Taking 10 military-civilian listed enterprises in Jiangsu Province as the research objects, and using DEA-BBC model and DEA-Malmquist index method, this paper constructs an evaluation system for technological innovation performance of enterprises, evaluates and studies the innovation performance from 2016 to 2019. The research shows that the technological innovation performance of enterprises is generally low. The main reasons of this situation are backward technology, low resource utilization, and the uneven management capabilities of enterprises. In addition, this paper provides some suggestions for improving the technological innovation performance of military-civilian enterprises.

scholarly journals Government Subsidies and Firm Technological Innovation Performance: An Empirical Study Based on Panel Data of High-tech Firms

2021 ◽  
Vol 275 ◽  
pp. 03070
Author(s):  
Kun Xie ◽  
Zhengluan Zhang
Keyword(s):  
Technological Innovation ◽  
Market Competition ◽  
Economic Transformation ◽  
Moderating Effect ◽  
Innovation Performance ◽  
Ownership Concentration ◽  
High Tech ◽  
Government Subsidies ◽  
Enterprise Innovation ◽  
The Government

Can government subsidies improve enterprises’ technological innovation performance? Based on the A-share high-tech listed enterprises in Shanghai and Shenzhen Stock Exchange from 2015 to 2019, this paper empirically tests the micro policy effect of government subsidies on innovation performance of enterprises under the background of economic transformation, and the moderating effect of regional corruption, market competition and enterprise ownership concentration on this effect. The results show that the high quality signal transmitted by government subsidies is helpful for innovative enterprises to broaden the source of innovation resources and encourage enterprises to actively carry out innovative activities. Moderate level of regional corruption will promote the government subsidy effect, too high or too low level of corruption is not conducive to enterprise innovation; The higher the degree of market competition, the weaker the promoting effect of government subsidies on enterprise innovation; Corporate ownership concentration has a U-shaped moderating effect on government subsidies and innovation performance. Therefore, to improve the independent innovation ability of enterprises, on the one hand, we should continue to strengthen the government innovation subsidy and improve the subsidy system; on the other hand, we should strictly crackdown on corruption activities and supervise the establishment and improvement of the internal control system of enterprises, so as to give full play to the effect of government subsidies.

Effects of technology lock-in on enterprise innovation performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li Zhao ◽  
Jianxin Sun ◽  
Ling Zhang ◽  
Pengfei He ◽  
Qiulu Yi
Keyword(s):  
Technological Innovation ◽  
Path Dependence ◽  
Economies Of Scale ◽  
Management Strategies ◽  
Innovation Performance ◽  
High Tech ◽  
Content Type ◽  
Different Types ◽  
Enterprise Innovation ◽  
Lock In

PurposeThis study explores the effects of different types of technology lock-in on enterprise innovation performance. On this basis, the authors aim to provide technological innovation suggestions for the long-term development of Chinese enterprises.Design/methodology/approachA total of 211 high-tech enterprises in China were taken as the research sample. Data were collected through questionnaire surveys and secondhand data. Linear and nonlinear regression models were used to test the hypotheses.FindingsDifferent types of technology lock-in had different effects on enterprise innovation performance. Initiative lock-in and passive lock-in showed an inverted U-shaped relationship with innovation performance. Economies of scale were positively correlated with innovation performance, while self-lock-in was negatively correlated with it.Practical implicationsThis research can help enterprises reconceptualize technology lock-in. It can also help enterprises in different stages of development carry out targeted technological innovation and management strategies.Originality/valueThis research enriches our understanding of technology lock-in. By breaking with previous conceptualizations of a simple linear relationship between technology lock-in and innovation performance, this study proposes and confirms different technology lock-in has different relationships with enterprise innovation performance. This study is important for enterprises to reassess their technology lock-in state and carry out targeted technological innovation strategies. This research enriches the theory of path dependence and its combination with other theories. And this study also reveals the current research on technology lock-in is insufficient.

A comparative study of the effects of different factors on firm technological innovation performance in different high-tech industries

2019 ◽  
Vol 13 (1) ◽  
pp. 2-25 ◽  
Author(s):  
Jinwei Zhu ◽  
Yangyang Wang ◽  
Changyu Wang
Keyword(s):  
Comparative Analysis ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
Positive Impact ◽  
Innovation Performance ◽  
High Tech ◽  
Content Type ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry ◽  
Communication Equipment

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

scholarly journals Resource Misallocation Threshold for High-Tech Industrial Specialization on Technological Innovation Performance for Pharmaceutical Manufacturing

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Lei Liang ◽  
Zhiyong Fan
Keyword(s):  
Technological Innovation ◽  
Threshold Model ◽  
Threshold Effect ◽  
Innovation Performance ◽  
Pharmaceutical Manufacturing ◽  
High Tech ◽  
High Tech Industry ◽  
Resource Misallocation ◽  
Industrial Specialization ◽  
Double Threshold

This paper examines the threshold effect of resource misallocation between specialization and technological innovation performance in the high-tech industry in China. Contrary to the existing literature, this paper applies the static panel threshold model to evaluate the threshold effect of industrial specialization on the innovation performance, including the single threshold effect and double threshold effect. The empirical results shed new light on the topic and signified that high-tech industry specialization has a nonlinear effect on innovation performance and the resource misallocation threshold. This paper unveils a novel, double threshold effect of resource misallocation between industrial specialization and innovation performance. Moreover, the twenty-eight regions in China are divided into three types according to a resource misallocation, which unfold the current situation of the resource misallocation in pharmaceutical manufacturing—providing directional guidance for structural reforms of the supply side of pharmaceutical manufacturing in various regions.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

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