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.

scholarly journals Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>

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 The Impact of Innovation Investment Volatility on Technological Innovation of Enterprises in Different Life Cycles

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Miaomiao Li ◽  
Zhaoxing Hao ◽  
Meng Luan ◽  
Haibo Li ◽  
Guikun Cao
Keyword(s):  
Technological Innovation ◽  
Positive Impact ◽  
Punctuated Equilibrium ◽  
Life Cycles ◽  
Moderating Effect ◽  
Mature Stage ◽  
Punctuated Equilibrium Theory ◽  
Emerging Industries ◽  
The Impact ◽  
The Relationship

Empirical findings from the impact of innovation investment volatility on enterprise technological innovation are mixed. Based on the punctuated equilibrium theory, this study explores the impact of innovation investment volatility on enterprise technological innovation in different life cycles and whether innovation subsidy has expected effects on enterprises’ technological innovation. By using the 205 Chinese listed enterprises in strategic emerging industries from 2010 to 2019 as the research sample, the results show that the innovation investment volatility has a positive impact on technological innovation of enterprise in the growing stage, while it has no significant effect on enterprise technological innovation in the mature and declining stages. In addition, the negative moderating effect of innovation subsidy on the relationship between innovation investment volatility and technological innovation is the most significant for enterprises in the growing stage, weakly significant for enterprises in the mature stage, and insignificant for enterprises in the declining stage.

scholarly journals Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>

How do formal and informal institutional distance affect the reverse knowledge spillover of Chinese MNCs?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yi She ◽  
Jin Hong ◽  
Chuwei Ji
Keyword(s):  
Multinational Corporations ◽  
Knowledge Spillovers ◽  
Positive Impact ◽  
Innovation Performance ◽  
Parent Company ◽  
Practical Significance ◽  
Host Countries ◽  
Content Type ◽  
Chinese Mncs ◽  
The Impact

PurposeThis study examines the impact of outward foreign direct investment (OFDI) of Chinese multinational corporations (MNCs) and formal and informal institutional distances between the home and host countries on the innovation performance of parent company.Design/methodology/approachThis study uses panel data to conduct an empirical analysis on the data of 59 mature Chinese MNCs and their 872 overseas subsidiaries over the past 11 years and draws interesting results.FindingsResults show that OFDI and formal and informal institutional distances between countries exert a significant positive impact on the innovation performance of the parent company and formal and informal institutional distances negatively moderate the impact between OFDI and the parent company's innovation performance.Originality/valueAlthough international business research pays increasing attention to transnational differences in institutions and cultures, research on the relationship between technology spillover and distance is relatively limited. In addition, few studies consider the impact of FID and IFID on transnational reverse knowledge spillovers. This research fills these research gaps, and the conclusions have certain practical significance for multinational companies.

scholarly journals How Can a Firm Innovate When Embedded in a Cluster?—Evidence from the Automobile Industrial Cluster in China

2019 ◽  
Vol 11 (7) ◽  
pp. 1837 ◽  
Author(s):  
Shuaishuai Li ◽  
Suyang Han ◽  
Tiyan Shen
Keyword(s):  
Knowledge Management ◽  
Absorptive Capacity ◽  
Automobile Industry ◽  
Structural Equation ◽  
Equation Model ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Firm Level ◽  
The Impact ◽  
The Relationship

In the era of the knowledge economy, knowledge management is increasingly important. Knowledge management ability is one of the core factors influencing enterprise competitiveness, affecting innovation performance and sustainable development. To test the impact mechanism of the knowledge management of enterprises on innovation performance, a multilevel structural equation model was established using data from the automobile industry in China, with “knowledge management” (KM) as the independent variable, the three dimensions of absorptive capacity as the mediating variables, and “innovation performance” (IP) as the dependent variable at the firm level. At the cluster level, the innovation milieu of the cluster was introduced into the model. The results show that the three dimensions of absorptive capacity all significantly mediate the relationship between knowledge management and innovation performance. The innovation milieu of the cluster had a direct cross-level effect on the innovation performance of enterprises and a positive cross-level moderated effect on the relationship between explorative learning and innovation performance. These results support the promotion of enterprise innovation ability and the creation of an innovation milieu in the automobile industry in China.

scholarly journals Relationship between Emotional Labor and Burnout among Sports Coaches in South Korea: Moderating Role of Social Support

2021 ◽  
Vol 13 (10) ◽  
pp. 5754
Author(s):  
Jae-Pil Ha ◽  
Jae-Hwan Kim ◽  
Jaehyun Ha
Keyword(s):  
Social Support ◽  
South Korea ◽  
Emotional Labor ◽  
Moderating Effect ◽  
Personal Accomplishment ◽  
Three Dimensions ◽  
Surface Acting ◽  
High Level ◽  
Sports Coaches ◽  
The Relationship

The purpose of this study was to examine the moderating effect of social support in the relationship between three strategies of emotional labor (surface acting, deep acting, and genuine expression) and burnout among sports coaches in South Korea. Data were collected from 259 athletic coaches who were working at secondary schools at Gyeongsangnam-do in South Korea. Results indicated that three emotional labor strategies explained a significant amount of variance in each of the three dimensions of burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment). In regard to the moderating effect, social support significantly moderated the relationship between surface acting and overall burnout. Specifically, the positive effect of surface acting on burnout was weaker for coaches with a high level of social support than those with a low level of social support. Some ways to engage in appropriate emotional labor strategies and to create environments where social support can be easily accessed were discussed.

scholarly journals Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

2021 ◽  
Author(s):  
Shailendra Kumar ◽  
Sanghamitra Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

Abstract The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.

scholarly journals Relationships Among CEO Narcissism, Debt Financing and Firm Innovation Performance: Emotion Recognition Using Advanced Artificial Intelligence

2021 ◽  
Vol 12 ◽  
Author(s):  
Lan Zhang ◽  
Biming Liang ◽  
Datian Bi ◽  
Yuan Zhou ◽  
Xiaohan Yu
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Positive Impact ◽  
Psychological Research ◽  
Debt Financing ◽  
Innovation Performance ◽  
Firm Innovation ◽  
Main Component ◽  
Ceo Narcissism ◽  
The Impact

Psychological research shows that as the main component of enterprise decision-making, CEOs are not completely rational, cognitive and psychological biases often influence their decision-making process. CEO narcissism has gradually attracted academic attention. Based on upper echelon theory and subconscious theory, this paper uses advanced artificial intelligence technology to quantify CEO narcissism as a kind of emotional intelligence. Taking A-share listed companies in China from 2010 to 2019 as research objects, this paper empirically tests the impact of CEO narcissism on debt financing and innovation performance. The results show that CEO narcissism has a significant positive impact on firm innovation performance. Debt financing plays a mediating role in the relationship between CEO narcissism and firm innovation performance. CEO narcissism can have a positive impact on firm innovation performance through debt financing. Compared with non-SOEs, SOEs' CEO narcissism has a more significant positive effect on debt financing and enterprise innovation performance. The research in this paper enriches psychology and organizational management and provides a reference for an enterprise's management decisions and for investors' investment decisions.

scholarly journals Gender and Feminist Considerations in Artificial Intelligence From a Developing-World Perspective

2021 ◽  
Author(s):  
ShailendraIndia Kumar ◽  
Sanghamitra Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

Abstract The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.

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