Search results

1 – 10 of over 11000
To view the access options for this content please click here
Article
Publication date: 8 October 2018

Jinwei Zhu, Yangyang Wang and Changyu Wang

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…

Abstract

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.

Details

Chinese Management Studies, vol. 13 no. 1
Type: Research Article
ISSN: 1750-614X

Keywords

To view the access options for this content please click here
Article
Publication date: 26 June 2019

Ruihan Zhang and Bing Sun

The purpose of this paper is to determine how high-tech firms should choose between independent research and development and technology introduction as well as to…

Abstract

Purpose

The purpose of this paper is to determine how high-tech firms should choose between independent research and development and technology introduction as well as to ascertain the effects of the three elements of competitive dynamics on the evolution of innovative behavior-based decisions and competitive results.

Design/methodology/approach

This paper describes the construction of an evolutionary game model and a multi-agent-based model of innovative behavior-based decisions by heterogeneous high-tech firms. The models are used to analyze the evolution path and evolutionarily stable strategy of innovative behavior-based decisions. In addition, multi-agent-based simulation is used to gain insight into the effects of competitive dynamics on the dynamic evolution of innovative behavior-based decisions.

Findings

This paper reveals four evolutionary equilibrium states of the innovation behavior-based decisions of high-tech firms. Based on the findings, these overall evolutionary trends are not affected by the timing of competitive market entry or the intensity of competition. In addition, simulated evidence is added that the timing of competitive market entry is an important factor affecting market-leading innovative strategies and dynamic competition results, and competition intensity is closely related to the evolutionary speed of innovation behavior-based decisions.

Originality/value

The key contribution of this paper is its new view of innovative behavior-based decisions from a competitive dynamics perspective. The new competitive dynamics-based framework for innovative behavior-based decisions of high-tech firms proposed in the paper can resolve the problem of obtaining a sustainable competitive advantage for high-tech firms in a competitive dynamics context.

To view the access options for this content please click here
Article
Publication date: 1 August 2016

Wuwei Li

For the studies whose purposes are to evaluate the relationship between industrial characteristics and innovation activities of the enterprises, there are some limitations…

Downloads
1208

Abstract

Purpose

For the studies whose purposes are to evaluate the relationship between industrial characteristics and innovation activities of the enterprises, there are some limitations in the measures of industrial characteristics and using traditional statistical techniques. The purpose of this paper is to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries using grey system theory. The research results show that grey system theory is suitable to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.

Design/methodology/approach

This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises. First, based on the data on Chinese large and medium-sized high-tech enterprises for the period of 2011-2013, this paper applies grey relational analysis to identify the relatively most important indexes on affecting innovation capabilities of Chinese high-tech enterprises. Second, based on the results from grey relational analysis, this study draws a ranking of the five Chinese high-tech industries in terms of innovation capabilities by grey decision making. Finally, based on the results from grey decision making, this study applies GM (0, N) model to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.

Findings

The results of this study show that in the evaluation indexes system of innovation capabilities of high-tech enterprises, personnel in R & D institutions, R & D personnel, internal expenditure on R & D, expenditure on new product development, expenditure on technology imports, expenditure on technology renovation, and expenditure on technology assimilation and absorption are relatively most important elements affecting innovation capabilities of Chinese high-tech enterprises. In addition, the two top ranking on innovation capabilities are manufacture of electronic equipment and communication equipment, and manufacture of medicines. At last, the findings indicate that in the measures of industrial characteristics, the three top ranking on affecting innovation capabilities of Chinese high-tech enterprises are R & D intensity, technology absorption intensity of indigenous high-tech enterprises and foreign-invested enterprises size. The opening level is in the middle position. Technology intensity, market concentration, and state-owned enterprises size are the three bottom ranking on affecting innovation capabilities of Chinese high-tech enterprises.

Research limitations/implications

This study has some limitations. First, this study is limited to Chinese high-tech industries. The findings may not be applicable to other countries’ high-tech industries. Further studies with other countries’ high-tech industries could be extended and examined how industrial characteristics affect innovation capabilities of the firms in these industries. Second, the measures of industrial characteristics proposed in this study are somewhat theoretically weak. In the future, the authors will further improve the current analysis, and develop the measures of industrial characteristics. Finally, with the advent of the more data with the consistent statistical coverage released by China’s National Bureau of Statistics during the more continuous years, other methods, such as panel data regression model in econometrics could be used to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. By then, the scholars can compare the results from grey system theory and those from panel data regression model in econometrics.

Practical implications

Appropriate industrial environment is favorable for Chinese high-tech enterprises to feed their innovation capabilities. Scientific evaluation on the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries is of great significance for Chinese high-tech enterprises in exerting technological catch-up and promoting their competitive advantage. The purposed measures of industrial characteristics and innovation capabilities of high-tech enterprises in this paper, and combined methodology based on grey system theory could be applied to evaluate the relationship between industrial characteristics and innovation capabilities of Chinese high-tech enterprises.

Originality/value

This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises, and uses grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.

Details

Grey Systems: Theory and Application, vol. 6 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

To view the access options for this content please click here
Article
Publication date: 10 July 2018

Runping Guo

Innovation strategy is critical for firms to achieve success in the market. However, relatively little is known about what factors promote the development of innovation

Downloads
1373

Abstract

Purpose

Innovation strategy is critical for firms to achieve success in the market. However, relatively little is known about what factors promote the development of innovation strategy in high-tech new ventures. The purpose of this paper is to address this gap by developing and examining the theoretical model that links effectuation to innovation strategy through opportunity shaping in high-tech new ventures.

Design/methodology/approach

The proposed theoretical model is developed by integrating the effectuation theory, innovation strategy literature and opportunity literature. Empirical data were collected from 212 entrepreneurs and top executives in Chinese high-tech new ventures through a survey. Baron and Kenny’s (1986) mediation and moderation model assessment procedures are used to analyze the data.

Findings

The empirical results indicate that effectuation has a positive effect on innovation strategy and opportunity shaping. Opportunity shaping has a positive effect on innovation strategy, and its effect is positively moderated by competitive intensity. The author also finds that opportunity shaping plays a fully mediating role in the relationship between effectuation and innovation strategy.

Originality/value

These findings enrich innovation strategy research and advance the effectuation theory by providing empirical evidence of the impact of effectuation on innovation strategy in high-tech new ventures. The findings also contribute to a growing stream of research on opportunity and integrating opportunity shaping into a more complete framework of innovation. Moreover, this research provides deeper insight into the missing links between effectuation and innovation strategy in high-tech new ventures by uncovering the mediating role of opportunity shaping.

Details

Management Decision, vol. 57 no. 1
Type: Research Article
ISSN: 0025-1747

Keywords

To view the access options for this content please click here
Article
Publication date: 2 October 2019

Jia-lu Shi and Wen-hsiang Lai

Over recent decades, talent agglomeration has emerged as a critical topic for scholars, businesses and government officers. Innovative ability is a core competition for…

Abstract

Purpose

Over recent decades, talent agglomeration has emerged as a critical topic for scholars, businesses and government officers. Innovative ability is a core competition for high-tech talents. In China, low innovation is the bottleneck, as the high-tech industry usually cannot provide sufficient support for the continuous needs of innovative talents. To enhance the continuous support of talents, it is important to obtain the mechanisms of talent evaluation and flow in high-tech industry. Exploring the incentive factors influencing the scientific and technological personnel, adjust the layout of talents and promote the rational agglomeration. It’s significant to realize the regional economic development.

Design/methodology/approach

This study proposes an assessment model using the multi-criteria decision-making method of analytical hierarchy process (AHP) to determine the weights of incentive factors and a nonlinear programing model, from micro, meso and macro perspectives of individual, organizational and social incentives by adopting Maslow’s hierarchy of needs theory, Kurt Lewin’s field theory and Lee’s push-pull theory. After the literature review and interviews with 14 experts, this study produced a research framework and a pairwise comparison questionnaire. In addition, the relative quantitative weights of 3 main categories and 15 indicators are identified and ranked based on the AHP method.

Findings

The results demonstrate that the most important dimension is the individual, and the top three highest weighted factors are job satisfaction, sense of working accomplishment and interpersonal relationships. The discussion in this study showed that the proposed model is rational and acceptable to motivate high-tech innovation talent (HTIT) agglomeration for high-tech enterprises, universities, government and start-ups.

Research limitations/implications

The pairwise comparison using the AHP method is limited to expert opinions, which are considered comparatively subjective. The number of incentive factors should be increased, as some indicators may have been omitted from the AHP model.

Practical implications

According to the results, some suggestions can be recommended to corporate executives, HR managers and government officers to attract and retain high-tech talents and further to improve industrial clusters and economic development.

Originality/value

This paper derives a relative ranking of importance based on the opinions of experienced HR specialists, high-tech talent, scholars and government official, and assesses the consistency of results. The ordering represents the importance of indicators and sub-indicators of two levels from respondents’ perspectives in an industry cluster background. The study, focusing on the high-tech industry in China (which is a developing country), offers a unique view, as earlier studies mainly collect data from developed countries.

Details

International Journal of Innovation Science, vol. 11 no. 4
Type: Research Article
ISSN: 1757-2223

Keywords

To view the access options for this content please click here
Article
Publication date: 4 January 2021

Ping Deng and Hao Lu

This paper compares four external technology acquisition channels' (foreign technology transfer, exporting, inter-industry R&D spillover and domestic technology transfer…

Abstract

Purpose

This paper compares four external technology acquisition channels' (foreign technology transfer, exporting, inter-industry R&D spillover and domestic technology transfer) contributions to Chinese high-tech enterprises' innovation in the moderating role of absorptive capacity (AC).

Design/methodology/approach

Using technological catch-up theory and China Statistics Yearbook on High Technology Industry, this research investigates 16 Chinese high-tech industries from 2004 to 2015 via negative binomial regression.

Findings

The results show that indigenous knowledge transfer improves foreign-funded enterprises' (FFEs) innovation, while transnational knowledge transfer is the main channel for state-owned enterprises' (SOEs) technology acquisition. AC strengthens the positive relationship between transnational knowledge transfer and innovation in SOEs and improves FFEs' innovation and exported tacit knowledge absorption.

Originality/value

This study contributes to the literature on external technology acquisition (ETA) and innovation by examining the different mechanism of ETA instead of isolated strategy considering the AC and ownership structure of Chinese high-tech enterprises, which enrich the technological catch-up theory.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

Keywords

To view the access options for this content please click here
Article
Publication date: 1 October 2006

Yuan Li, Yongbin Zhao and Yi Liu

Human resource management (HRM) is seen as crucial for innovation and firm performance in China. This paper aims to carry out an empirical research to investigate the…

Downloads
8625

Abstract

Purpose

Human resource management (HRM) is seen as crucial for innovation and firm performance in China. This paper aims to carry out an empirical research to investigate the effects of main dimensions of HRM on technological innovation as well as organizational performance.

Design/methodology/approach

The research uses a sample of 194 high‐tech firms surveyed in eight provinces in China.

Findings

This research finds that employee training, immaterial motivation and process control have positive effects on technological innovation, while material motivation and outcome control have a negative influence on technological innovation. It is also found that technological innovation is positively related with performance.

Research limitations/implications

This study does not consider the different influence of every HRM dimension affecting different innovation types. This should be a future research topic.

Practical implications

This study provides useful managerial implication for managers. First, employee training is needed to develop employees' knowledge. Second, material incentive is needed but not main motivation in Chinese high‐tech firms. Third, process control should be emphasized more than outcome control in Chinese high‐tech firms.

Originality/value

This study demonstrated that the HRM significantly contributed to technological innovation and firm performance. This study demonstrates that Chinese high‐tech firms' HRM has an important influence on technological innovation, and lead to firm's superior performance.

Details

International Journal of Manpower, vol. 27 no. 7
Type: Research Article
ISSN: 0143-7720

Keywords

To view the access options for this content please click here
Article
Publication date: 7 June 2011

Yipeng Liu

The purpose of this paper is to investigate how institutional voids influence high‐tech ventures' innovation, and what strategies high‐tech entrepreneurs deploy to cope…

Downloads
2783

Abstract

Purpose

The purpose of this paper is to investigate how institutional voids influence high‐tech ventures' innovation, and what strategies high‐tech entrepreneurs deploy to cope with the institutional environments they encounter.

Design/methodology/approach

A qualitative research approach was taken. In‐depth interviews were conducted with nine high‐tech entrepreneurs. In addition, governmental officials, overseas associations, and professional investors were interviewed for more/further observations.

Findings

Institutional voids may negatively influence high‐tech ventures' innovation. They might be moderated by guanxi and government active involvement. On the contrary, institutional voids can offer high‐tech entrepreneurs the opportunity to create innovative business models. The co‐evolution of institutional developments and high‐tech ventures illustrates the particular characteristics of Chinese entrepreneurial environment.

Research limitations/implications

Qualitative study cannot simply be generalized, albeit this explorative study provides illustrative insights. Quantitative research (e.g. surveys), which is applied to test the propositions, calls for further scholarly inquiry.

Practical implications

Overseas entrepreneurs are presented with the opportunities to pursue an entrepreneurial career. SMEs from developed economies may join the movement with technology entrepreneurs to enter the Chinese market and co‐shape the market development.

Originality/value

Institutional voids were conceptualized from a multi‐dimensional perspective, namely national, regional, and individual. By providing qualitative evidence, different mechanisms to fill the institutional voids are explored.

Details

Journal of Chinese Entrepreneurship, vol. 3 no. 2
Type: Research Article
ISSN: 1756-1396

Keywords

To view the access options for this content please click here
Article
Publication date: 5 June 2020

Gang Chen and John Breedlove

This paper aims to examine the effect of innovation-driven polices on innovation efficiency of sport firms listed on the new Third Board in China.

Abstract

Purpose

This paper aims to examine the effect of innovation-driven polices on innovation efficiency of sport firms listed on the new Third Board in China.

Design/methodology/approach

Firm innovation efficiency, including comprehensive innovation efficiency, pure technical efficiency and scale innovation efficiency were calculated by using data envelopment analysis (DEA) models. The input variables and output variable in the DEA model were selected through correlation analysis. The effects of several innovation-driven policies on the innovation efficiency of sport firms were analyzed by a series of multiple regression analyses.

Findings

Regarding the innovation efficiency evaluation of sport firms, total research and development (R&D) investment and total R&D staff are two suitable input variables, and total profit, sales revenue and new effective patent are three suitable output variables. Income tax relief for high-tech enterprise has a positive effect on comprehensive innovation efficiency and pure technical efficiency, and governmental subsidies have a negative effect on comprehensive innovation efficiency and pure technical efficiency. However, pretax deduction of R&D expenses does not have a significant effect on comprehensive innovation efficiency, pure technical efficiency and scale innovation efficiency, and income tax relief for high-tech enterprise and pretax deduction of R&D expenses also have no effect on scale innovation efficiency. For a large-scale sport firm, the negative effect of “governmental subsidies” and the positive effect of “income tax relief for high-tech enterprise” on its pure technical efficiency are more significant. For a sport firm with more R&D staff, governmental subsides and “income tax relief for high-tech enterprise” have more positive effect on its innovation efficiency.

Practical implications

The study findings could potentially provide practical guidance to both managers and government-industry policymakers in the sports industry.

Originality/value

Firstly, this paper focused on Chinese sport firms from a rising industry in a developing country (China). The related conclusions are conducive to the governmental management of new industries and the innovation management of new enterprises. Second, this paper analyzed the effect of three special innovation-driven policies on three types of innovation efficiency and explored enterprise innovation development in more detail. Third, this paper not only discusses the effect of innovation-driven policies on innovation efficiency, but also the heterogeneity of their effects.

Details

International Journal of Sports Marketing and Sponsorship, vol. 21 no. 4
Type: Research Article
ISSN: 1464-6668

Keywords

To view the access options for this content please click here
Article
Publication date: 5 June 2007

Yanying Chen and Yijun Yuan

A firm will seek an optimal balance between internal R&D and technology outsourcing when formulating its innovation strategy. This paper aims to provide a review of the…

Downloads
2723

Abstract

Purpose

A firm will seek an optimal balance between internal R&D and technology outsourcing when formulating its innovation strategy. This paper aims to provide a review of the determinants of firm's innovation strategy, and performs an empirical study on a sample from Chinese high‐tech industry, with the purpose of identifying two aspects of the issue: the choice patterns of Chinese firms over innovation strategy, and the innovation effect elasticity of different strategies.

Design/methodology/approach

The development of a multiple regression model supported by data from industry level and a statistic analysis.

Findings

Outsourcing is the major innovation strategy adopted by most Chinese high‐tech firms, especially technology import, which implies the imperfection of Chinese innovation service system. The empirical analysis also indicates the insufficiency of internal R&D expenditure and the weakness of absorptive capacity in Chinese high‐tech firms. Although, Chinese high‐tech firms prefer the outsourcing strategy in their innovation, the contribution of outsourcing is much smaller than that of internal R&D. When expenditures are increased by the same rate, the innovation output form internal R&D is twice the output of outsourcing. For improving Chinese firms' innovation efficiency, the reform of innovation service system is needed on the macro‐level, while on the micro‐level, it calls for firms to readjust their innovation strategy portfolio.

Originality/value

This paper will make up for the deficiency in current researches on innovation, which often apply firm samples in developed countries, and lack evidences from firm samples in developing countries. In addition, it will provide the decision‐making basis for Chinese Government's current actions in constructing and improving China's innovation service system.

Details

Journal of Technology Management in China, vol. 2 no. 2
Type: Research Article
ISSN: 1746-8779

Keywords

1 – 10 of over 11000