scholarly journals The Moderating Effect of Holding Shareholders on Corporate Performance in Institute Spin-Offs from the Perspective of Institutional Logics

2021 ◽  
Vol 11 (11) ◽  
pp. 908-922
Author(s):  
Liang Wang ◽  
Shuang Ge ◽  
Peipei Yang

Based on the panel data of 577 spin-offs of the Chinese Academy of Sciences (CAS) from 2008 to 2017, this paper explores the moderating effect of the different types of holding shareholders on business performance and innovation performance in institute spin-offs from the perspective of institutional logics. The findings indicate that investment in research and development (R&D) has a significant positive impact on the business performance and innovation performance of the institute spin-offs. Corporate legal representative holding shareholders positively moderate the relationship between R&D investment and business performance. Due to the conflict of incentive mechanism, research institute legal representative holding shareholders negatively moderate the relationship between R&D investment and both areas of performance. Scientist natural person holding shareholders positively moderate the relationship between R&D investment and both areas of performance. The research conclusions of this paper enrich the research on institute spin-offs and expand the research on the role of holding shareholders in business operation.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dongyun Zhu ◽  
Bingfen Xu

Purpose This study aims to measure the moderating effect of geographical and organizational proximity by focusing on readily available Chinese regional economic data over a five-year period. Design/methodology/approach The authors used multilevel regression analysis to analyze the relationship. Findings Results show that increasing government investment in research and development (R&D) can improve innovation performance during this period, organizational proximity and geographic proximity have a positive moderate effect on the relationship between R&D investment and Innovation performance. Originality/value This study enriches the existing theories on government innovation input and output from the perspective of regional differences and provides meaningful guidance for current Chinese regional innovation policies.


2020 ◽  
Vol 13 (1) ◽  
pp. 328
Author(s):  
Yuanyuan Dong ◽  
Zepeng Wei ◽  
Tiansen Liu ◽  
Xinpeng Xing

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.


Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 116-132
Author(s):  
Hoang Phuong Nguyen ◽  
Viet Duc Bui

The study conducted a theoretical review and review of previous studies shows that the research gap is the correlation between social responsibility factors, green marketing strategy, corporate reputation and business performance. The practical context of the tourism service industry in Vietnam is also necessary and suitable for research. The study's overall objective is to propose and test a model on the relationship between corporate social responsibility, green marketing strategy, corporate reputation, and business performance. In the case of the study, it is a travel service business in Ho Chi Minh City. The research methodology of the research is a mixed-method, performed sequentially as follows: the first qualitative research through interviews with 10 experts to consider the necessity of the research problem in Vietnam, to adjust and supplement the scales for research concepts; Quantitative research with a questionnaire survey. According to the quota principle (quota), the sample was selected with a sample size of 218 travel companies to test the proposed theoretical research model. A second qualitative study was performed to aid the interpretation of the results from quantitative data analysis. Research results have identified stakeholders in the tourism industry, including tourists, travel businesses, local authorities and local people. The relationships between research concepts are confirmed, including corporate social responsibility, green marketing strategies that have a positive impact on corporation reputation, corporate social responsibility is found to have a positive impact on green marketing strategies, corporate social responsibility, green marketing strategies, and corporate reputation all have positive effects on business results. At the same time, the enterprise's characteristics in terms of the main type of business and the size of the business are identified as having differences in the relationship between research concepts.


2020 ◽  
Vol 12 (15) ◽  
pp. 6155
Author(s):  
Jiajia Hao ◽  
Chunling Li ◽  
Runsen Yuan ◽  
Masood Ahmed ◽  
Muhammad Asif Khan ◽  
...  

The purpose of innovation is to consume fewer natural resources in order to create sustainable performance; therefore, innovation can ease the pressure of the ecological load and promote the sustainable development of the economy. Taking the 269 enterprises listed on the main board of the electronic information industry from 2010 to 2019 as samples, using the threshold panel data model, the nonlinear relationship between the knowledge-based network structure hole and the short-term and long-term innovation performance of the enterprises were studied, and the threshold effect of R&D investment intensity was discussed. When the R&D investment intensity is from 1.96% to 15.96%, the knowledge-based network structure hole has a significant positive impact on short-term innovation performance. When the R&D investment intensity is from 5.72% to 10.64%, the knowledge-based network structure hole has a significant positive effect on long-term innovation performance. Lower R&D investment intensity can make the knowledge-based network structure hole promote the increase of short term innovation performance, but to make the knowledge-based network structure hole have a positive impact on long term innovation performance, the R&D investment intensity should be increased by more than 5.72%. When R&D investment intensity is not higher than 15.96%, the knowledge-based network structure hole has a significant positive impact on short term innovation performance, but to make the knowledge-based network structure hole maintain the positive effect on long term innovation performance, R&D investment intensity should not exceed 10.64%. Therefore, enterprises should be guided to optimize the knowledge-based network structure according to the R&D investment intensity in order to improve the short term and long-term innovation performance of an enterprise. These research results can help enterprises to save resources and promote the sustainable development of the economy.


2019 ◽  
Vol 14 (2) ◽  
pp. 411-431
Author(s):  
Benlu Hai ◽  
Qingzhu Gao ◽  
Ximing Yin ◽  
Jin Chen

Purpose Significant increase or decrease in research and development (R&D) expenditure may have an immense impact on market value. Based on the punctuated equilibrium theory, this paper aims to empirically analyze the impact of R&D volatilities on market value and the moderating effect of executive overconfidence. Design/methodology/approach The study uses the panel data set that covers 902 Shanghai and Shenzhen A-share manufacturing listed firms and multiple regression method to test the theoretical hypotheses. Findings The results show that both positive and negative R&D volatilities have a robust and significant positive impact on the market value. Further analysis shows that the executive overconfidence positively moderates the relationship between R&D volatilities and market value. Research limitations/implications In a rapidly changing and highly competitive environment, firms should recognize that the balance of innovation strategies will help to bring higher market value. Furthermore, firms could improve corporate governance to make the best of managerial characteristics, such as overconfidence, on the innovation decision-making process. Originality/value By pushing the static perspective to a dynamic perspective and empirically documenting the role of executive overconfidence, this study contributes to the literature on the relationship between R&D expenditure and market value, generating theoretical and practical insights for firms to improve innovation governance and innovation strategies to achieve better business performance.


2019 ◽  
Vol 11 (5) ◽  
pp. 1235 ◽  
Author(s):  
Shaozhou Qi ◽  
Huarong Peng ◽  
Xiujie Tan

R&D investment plays a great role in achieving China’s low-carbon economy goals, which has a moderating effect on the relationship between income and carbon emissions. Furthermore, such a moderating effect may have spatial differences, given the possible spatial dependence of carbon emissions. Therefore, this paper explores the direct and spatial spillover moderating effects of R&D investment by adopting the panel spatial Durbin model and data of 30 provinces in China during 1998–2015. The empirical results firstly indicate that R&D investment moderates the positive impact of income on local carbon emissions for both the non-spatial and spatial model, and that more R&D investment can make carbon emissions reach the turning point earlier. Secondly, R&D investment in the local province increases the positive influence of local income on neighboring carbon emissions, which mainly results from the transfer effect of carbon emissions rather than the knowledge spillovers effect. The results are indicated to be robust by three types of robustness analyses. Finally, FDI and patents are the main constrained forces of local and neighboring carbon emissions; coal consumption is the main driver of local carbon emissions.


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