Impact of TQM and organizational learning on innovation performance in the high-tech industry

2011 ◽  
Vol 20 (2) ◽  
pp. 213-225 ◽  
Author(s):  
Richard Yu Yuan Hung ◽  
Bella Ya-Hui Lien ◽  
Baiyin Yang ◽  
Chi-Min Wu ◽  
Yu-Ming Kuo
Keyword(s):  
Organizational Learning ◽  
Innovation Performance ◽  
High Tech ◽  
High Tech Industry

The Effect of Organizational Slack on Innovation Performance

2020 ◽  
pp. 1453-1483
Author(s):  
Qiuyue Pan ◽  
Jiang Wei ◽  
Latif Al-Hakim
Keyword(s):  
Human Resources ◽  
Disruptive Innovation ◽  
Innovation Performance ◽  
Financial Resources ◽  
High Tech ◽  
Organizational Slack ◽  
Chinese Stock Market ◽  
High Tech Industry ◽  
National Databases ◽  
The Relationship

To compete through disruptive innovation, organisations allocate part of its resources as a buffer to support its capability of disruptiveness or to face challenges created by competitors. These resources could be in terms of human resources, technology, equipment, information and/or financial resources. Literature refers to the buffer of resources as organisational slack. This research considers high-tech industry in China and investigates the relationship between the characteristics of the organisation's governance body, organisational slack and innovation performance. Data required by our research were obtained from various national databases available in the library of Zhejiang University. Data from 233 high-tech organisations listed in Chinese stock market were analysed. The results indicate that the interaction of the organisational slack of an organisation with various characteristics of the governance body partially moderates the innovation performance.

The Effect of Organizational Slack on Innovation Performance

2016 ◽  
pp. 559-589
Author(s):  
Qiuyue Pan ◽  
Jiang Wei ◽  
Latif Al-Hakim
Keyword(s):  
Human Resources ◽  
Disruptive Innovation ◽  
Innovation Performance ◽  
Financial Resources ◽  
High Tech ◽  
Organizational Slack ◽  
Chinese Stock Market ◽  
High Tech Industry ◽  
National Databases ◽  
The Relationship

To compete through disruptive innovation, organisations allocate part of its resources as a buffer to support its capability of disruptiveness or to face challenges created by competitors. These resources could be in terms of human resources, technology, equipment, information and/or financial resources. Literature refers to the buffer of resources as organisational slack. This research considers high-tech industry in China and investigates the relationship between the characteristics of the organisation's governance body, organisational slack and innovation performance. Data required by our research were obtained from various national databases available in the library of Zhejiang University. Data from 233 high-tech organisations listed in Chinese stock market were analysed. The results indicate that the interaction of the organisational slack of an organisation with various characteristics of the governance body partially moderates the innovation performance.

Threshold Effect of Knowledge Accumulation between Innovation Path and Innovation Performance: New Evidence from China’s High-tech Industry

2018 ◽  
Vol 23 (1) ◽  
pp. 163-184 ◽  
Author(s):  
Heng Chen ◽  
Jian Hou ◽  
Wei Chen
Keyword(s):  
Innovation Management ◽  
Threshold Model ◽  
Innovation System ◽  
Threshold Effect ◽  
Innovation Performance ◽  
High Tech ◽  
Dynamic Threshold ◽  
High Tech Industry ◽  
Knowledge Accumulation ◽  
The Relationship

In the process of transitioning from closed to open innovation, regions in developing countries need to understand how to choose the most effective path within the complex innovation system while considering their own innovation factors. Based on provincial panel data from China’s high-tech industry and the improved dynamic threshold model, we introduce the threshold of knowledge accumulation (KLA) into the non-linear mechanism between innovation paths and innovation performance to compare the dynamic threshold effect and its heterogeneity. This research provides interesting insights into innovation paths, showing that the relationship between the innovation path and innovation performance is significantly influenced by the threshold effect of KLA. As the level of KLA strengthens, its effects on each innovation path change. Overall, this article shows how KLA affects the relationship between the innovation path and innovation performance. The article concludes with a discussion of the implications of these insights for innovation management and policy.

scholarly journals Are Non-R&D Innovation Activities Actually Effective for Innovation Sustainability? Empirical Study from Chinese High-Tech Industry

2018 ◽  
Vol 11 (1) ◽  
pp. 174 ◽  
Author(s):  
Jian Hou ◽  
Jiancheng Chen ◽  
Hongfeng Song ◽  
Gang Wang
Keyword(s):  
Negative Impact ◽  
Critical Mass ◽  
Threshold Level ◽  
Threshold Effect ◽  
Developed Countries ◽  
Innovation Performance ◽  
High Tech ◽  
Regional Innovation ◽  
High Tech Industry ◽  
Innovation Activities

Compared with developed countries, the paper explores whether non-R&D innovation activities in China actually are effective and provides a guidance on how we can choose a sustainable innovation mode for non-R&D, especially considering the “threshold effect” of the heterogeneity of different regional innovation levels. The dynamic threshold panel models of the non-R&D (NRD) effect on the basis of the threshold of regional innovation level is constructed to verify the complex “threshold effect” characteristics between non-R&D and innovation performance. The empirical results are discussed according to the panel data for 30 provinces in China concerning the high-tech industry. Results argue that the mechanism of non-R&D innovation activities on innovation performance have a significantly different “threshold effect.” Interestingly, when the threshold of regional innovation keeps a low level, the negative effect of non-R&D innovation activities is much larger. When the threshold level of regional innovation increases, reaching the critical mass, the negative impact of non-R&D innovation activities on innovation performance becomes smaller. However, once the regional innovation level crosses the critical mass, the negative impact of non-R&D shows a significantly increasing tendency. Specifically, neither much higher nor much lower regional innovation level is conducive to the promoting effect of non-R&D activities. The negative impact of non-R&D on performance will decrease to the minimum only in the regions within the moderate threshold level (critical mass). The dynamic nonlinear mechanism between non-R&D activities and innovation performance is empirically studied to assist high-tech enterprises for innovation sustainability based on heterogeneity of different regional innovation levels.

Do Relationships have a Dark Side for Innovation Performance in the High-Tech Industry?

2018 ◽  
Vol 15 (02) ◽  
pp. 1850018 ◽  
Author(s):  
Chao-Hung Wang ◽  
Kuan-Liang Chen
Keyword(s):  
Theoretical Model ◽  
Strategic Management ◽  
Affective Commitment ◽  
Innovation Performance ◽  
Dark Side ◽  
High Tech ◽  
High Tech Industry ◽  
Calculative Commitment ◽  
Bright Side ◽  
Using Data

It is widely held that good relationships between partners are beneficial for firms' performance, and the literature on strategic management has consistently promoted the bright side of these relationships. This study extends that stream of investigation by investigating the degree to which three components of relationships (trust, affective commitment, and calculative commitment) can contribute to or impede innovation performance in high-tech industries. Thus, a theoretical model is developed and tested using data from 173 Taiwanese high-tech firms. The findings reveal that the relationships between trust and commitment and innovation performance can be depicted as an inverted curve.

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