scholarly journals The Impact of Technical–Nontechnical Factors Synergy on Innovation Performance: The Moderating Effect of Talent Flow

2018 ◽  
Vol 10 (3) ◽  
pp. 693
Author(s):  
Hong-Bo Shi ◽  
Yong-Cai Cui ◽  
Sang-Bing Tsai ◽  
Dong-Mei Wang
Keyword(s):  
Moderating Effect ◽  
Innovation Performance ◽  
The Impact

scholarly journals Does the Technological Diversification and R&D Internationalization of eMNCs Promote Enterprise Innovation?

2021 ◽  
Vol 29 (5) ◽  
pp. 1-19
Author(s):  
Jing Li ◽  
Jun Wang
Keyword(s):  
Negative Binomial ◽  
Positive Impact ◽  
Institutional Development ◽  
Moderating Effect ◽  
Innovation Performance ◽  
Strategic Choices ◽  
Technological Diversification ◽  
Enterprise Innovation ◽  
Development Levels ◽  
The Impact

Under the background of digital economy, technological diversification and R&D internationalization are important strategic choices for eMNCs, represented by China, to seek advanced technological resources and create competitive advantages. This paper takes China's listed MNCs from 2009 to 2019 as the research object and applies a non-equilibrium panel negative binomial fixed effect regression to investigate the impact mechanism of technological diversification of China's MNCs on enterprise innovation performance and the moderating effect of overseas R&D networks. Results show that the related technological diversification of MNCs has a significant positive impact, and the unrelated technological diversification and their innovation performance are in inverted U-shaped relationship; overseas R&D networks have significant moderating effect while the breadth and depth of the moderating effect are not the same; significant differences exist in the moderating effect of overseas R&D networks due to the heterogeneity of institutional development levels among regions in China.

scholarly journals Clique Structure and Enterprise Innovation: an Empirical Research on China's High-end Equipment Manufacturing Industry

2018 ◽  
Vol 11 (3) ◽  
pp. 21
Author(s):  
Xiangjie Zheng
Keyword(s):  
Manufacturing Industry ◽  
Negative Binomial ◽  
Moderating Effect ◽  
Innovation Performance ◽  
Innovation Network ◽  
Innovation Capability ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry ◽  
Enterprise Innovation ◽  
The Impact

Clique problem has been fully researched in the social relations network of sociology，But the cliques in inter-enterprise networks have attracted people's attention in recent years. Based on the alliance data of the high-end equipment manufacturing industry in China in 2000-2013, we construct innovation network，and use negative binomial regression models to analyze the impact of the clique structure on enterprise innovation. The results show that the more the clique numbers in the alliance innovation network, the stronger the enterprise innovation capability. Whether the enterprises listed have a negative moderating effect on the impact of clique numbers on enterprise innovation performance. That is, for the listed enterprises, more clique numbers cannot significantly promote enterprise innovation, but for non-listed enterprises, more clique numbers are conducive to enterprise innovation. Innovation accumulation has no significant positive moderating effect on the impact of clique numbers on enterprise innovation performance. The impact of the coreness values on the enterprise innovative output in an inverted-U curvilinear way, and the coreness values also moderates the effect of innovation accumulation on enterprise innovation capability in an inverted-U curvilinear way. The conclusions of the research can provide the basis for the enterprise to embed the network cliques and for the relevant government departments to formulate the alliance policy.

The moderating effect of leadership empowerment on relational capital and firms' innovation performance in the entrepreneurial ecosystem: Evidence from China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yunlong Duan ◽  
Yilin Chen ◽  
Shuling Liu ◽  
Chi-Sum Wong ◽  
Meng Yang ◽  
...  
Keyword(s):  
Intellectual Capital ◽  
Core Competencies ◽  
Moderating Effect ◽  
Innovation Performance ◽  
Western China ◽  
Relational Capital ◽  
Entrepreneurial Ecosystem ◽  
Content Type ◽  
The Impact ◽  
The Relationship

PurposeThis study aims to fill the research gap on the moderating effect of leadership empowerment on the relationship between relational capital and firms' innovation performance in the entrepreneurial ecosystem by addressing the following research questions: (1) How do different types of relational capital positively or negatively affect firms' innovation performance in China? (2) Does leadership empowerment play a moderating role in the above relationship?Design/methodology/approachUsing data derived from the firms distributed in eastern, central and western China, the authors study the impact of relational capital, one of the dimensions of intellectual capital, on firms' innovation performance in the entrepreneurial ecosystem. Based on firms' operation process regarding the relationships with their external stakeholders, the authors divided relational capital into three aspects: trust, reciprocity and transparency. Furthermore, leadership empowerment is taken as the moderating variable in the above theoretical relationship.FindingsThere is significant evidence that trust, reciprocity and transparency have positive impact on firms' innovation performance. Leadership empowerment positively moderates the impact of trust and reciprocity on innovation performance. However, there is no significant moderating effect of leadership empowerment on the relationship between transparency and innovation performance.Originality/valueIn the era of the knowledge economy, the entrepreneurial ecosystem is a critical foundation for firms to improve their innovation capacity and performance, and intellectual capital is one of the most imperative drivers in terms of firms' innovation performance. Nevertheless, few studies have investigated thoroughly concerning the relationships among the entrepreneurial ecosystem, intellectual capital and innovation performance. As this study explores the relationships among the above three factors, it may have profound theoretical and practical significance for firms to extent external relationship networks, improve their innovation performance and strengthen their core competencies, which is of great significance to facilitate the construction of entrepreneurial ecosystem.

scholarly journals The Impact of R&D Intensity on the Innovation Performance of Artificial Intelligence Enterprises-Based on the Moderating Effect of Patent Portfolio

2020 ◽  
Vol 13 (1) ◽  
pp. 328
Author(s):  
Yuanyuan Dong ◽  
Zepeng Wei ◽  
Tiansen Liu ◽  
Xinpeng Xing
Keyword(s):  
Artificial Intelligence ◽  
Positive Impact ◽  
Moderating Effect ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Practical Significance ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Patent Portfolio

The patent portfolio affects the research and development (R&D) decisions of artificial intelligence enterprises, and provides rights protection for the enterprise’s product market, which is of great practical significance for the realization of innovation performance. The aim of this paper is to discover how the patent portfolio of artificial intelligence enterprises affects the relationship between R&D intensity and innovation performance. Based on the panel data of 164 listed enterprises in the A-share artificial intelligence concept sector of China, using the panel fixed effect regression method, the impact of R&D intensity on innovation performance was analyzed, and the moderating effect of the three dimensions of the patent portfolio on the two was examined. Studies have shown that the impact of R&D intensity on innovation performance is in an inverted U-shaped relationship. In addition, the diversity characteristics of the patent portfolio have a moderating effect on the relationship between R&D intensity and innovation performance, and when the enterprise is at a high level of diversity, the two have a U-shaped flip relationship. The size of the patent portfolio has a positive impact on innovation performance. The research results have theoretical and practical significance for the implementation of effective R&D management in artificial intelligence enterprise organizations.

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