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.

Linking ownership acquired in Chinese firms to post-acquisition innovation performance: role of institutional distance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nadia Hanif ◽  
Jianfeng Wu ◽  
Ahmad Bilal Babar
Keyword(s):  
Negative Binomial ◽  
Positive Impact ◽  
Negative Binomial Regression ◽  
Innovation Performance ◽  
Institutional Distance ◽  
Target Firm ◽  
Content Type ◽  
Acquiring Firms ◽  
Target Firms ◽  
The Impact

Purpose The primary purpose of this study is to explore the impact of acquired ownership in Chinese target firm on the innovation performance of developed economies (DE) acquiring firms. Furthermore, the study aims to empirically investigate the moderating influence of institutional distance between two parties’ home countries. Design/methodology/approach For the empirical investigation of the hypotheses, the authors identified cross-border technological acquisitions from the Securities Data Company between 1995 and 2015. A hierarchical negative binomial regression technique was used to analyze 177 technological acquisitions completed by DE acquiring firms in China. Findings Analysis of technological acquisition deals confirmed that acquired ownership undertaken in the Chinese target firms increases the DE acquiring firms’ post-acquisition innovation performance. The authors found that DE acquiring firms underperform in innovation in institutionally distant host countries. Originality/value This study contributes to the international business literature by explaining the importance of acquired ownership undertaken in the Chinese target firms for the DE acquiring firm’s innovation performance. Second, institutional theory defines how institutional uncertainty in terms of distance modifies the positive impact of acquired ownership on acquiring firm’s innovation performance.

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 The Impact of Employee Characteristics in the Relation of Financial Knowledge, Financial Management Behavior and Personal Income with Investment Decision of Employee

2020 ◽  
Vol 1 (2) ◽  
pp. 195
Author(s):  
Natasha Asmara ◽  
Andreas Lako ◽  
Eny Trimeiningrum
Keyword(s):  
Financial Management ◽  
Positive Impact ◽  
Investment Decision ◽  
Moderating Effect ◽  
Personal Income ◽  
Financial Knowledge ◽  
Management Behavior ◽  
Study Results ◽  
Employee Characteristics ◽  
The Impact

The resarch is to analyze the impact of financial knowledge, financial management behavior, and personal income on investment decision of the employees of PT. Industri Jamu dan Farmasi Sido Muncul Tbk. This study is also to analyze moderating effect of employee’ characteristics in relation to financial knowledge and financial management behavior and personal income to investment decision of the employees. Based on purposive sampling and questionnaire, the study results in financial knowledge, financial management behavior, and personal income have positive impact on investment decision of the employees. However, employee’ characteristics do not show moderating effect in relations to financial knowledge and management behavior and personal income to investment decision of the employees. The results inidicate that emloyees’ characteristics (risk taker or risk adverse) weaken the influence of financial knowledge, financial management behavior, and personal income to investment decision of the employees.

Alliance-Adding Cluster Means Icing on the Cake

2015 ◽  
pp. 63-75
Author(s):  
Zhao Yan ◽  
Wang Bing ◽  
Meng Qingshi
Keyword(s):  
Strategic Alliances ◽  
Negative Binomial ◽  
Innovation Performance ◽  
Network Density ◽  
Geographic Proximity ◽  
Equipment Industry ◽  
Strategic Resources ◽  
Regional Location ◽  
The Impact ◽  
Communication Equipment

For firms, entering industrial cluster means obtaining more opportunities for tacit knowledge transfer and informal communication, while forming strategic alliances can get a wider range of technical cooperation and strategic resources. Using innovation networks in the communication equipment industry of China, based on the impact of network density on innovation performance, we give firms dynamic characteristic in the geographical position to study the impact of regional location and the moderation effect of geographic proximity on the relationship between network density and innovation performance. The results of negative binomial regression method indicate that regional location do not have a significant effect on innovation performance, while geographic proximity has a significant effect on innovation performance, and geographic proximity can positively moderate the impact of network density on innovation performance. Then the authors further analyze some conditions concerning alliances of the Chinese communication equipment industry and offer some related suggestions.

scholarly journals Assessing the Impact of Nightlight Gradients on Street Robbery and Burglary in Cincinnati of Ohio State, USA

2019 ◽  
Vol 11 (17) ◽  
pp. 1958 ◽  
Author(s):  
Hanlin Zhou ◽  
Lin Liu ◽  
Minxuan Lan ◽  
Bo Yang ◽  
Zengli Wang
Keyword(s):  
Negative Binomial ◽  
Infrared Imaging ◽  
Negative Impact ◽  
Positive Impact ◽  
Negative Binomial Regression ◽  
Information Criterion ◽  
Binomial Regression ◽  
Street Robbery ◽  
The Impact

Previous research has recognized the importance of edges to crime. Various scholars have explored how one specific type of edges such as physical edges or social edges affect crime, but rarely investigated the importance of the composite edge effect. To address this gap, this study introduces nightlight data from the Visible Infrared Imaging Radiometer Suite sensor on the Suomi National Polar-orbiting Partnership Satellite (NPP-VIIRS) to measure composite edges. This study defines edges as nightlight gradients—the maximum change of nightlight from a pixel to its neighbors. Using nightlight gradients and other control variables at the tract level, this study applies negative binomial regression models to investigate the effects of edges on the street robbery rate and the burglary rate in Cincinnati. The Akaike Information Criterion (AIC) of models show that nightlight gradients improve the fitness of models of street robbery and burglary. Also, nightlight gradients make a positive impact on the street robbery rate whilst a negative impact on the burglary rate, both of which are statistically significant under the alpha level of 0.05. The different impacts on these two types of crimes may be explained by the nature of crimes and the in-situ characteristics, including nightlight.

Innovation-Supporting Effect of Government Versus Private Venture Capital: Evidence from Chinese Listed Companies

2020 ◽  
Vol 19 (3) ◽  
pp. 245-281
Author(s):  
Xiaohui Tao ◽  
Yang Li
Keyword(s):  
Venture Capital ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Threshold Effect ◽  
Listed Companies ◽  
Threshold Test ◽  
Chinese Listed Companies ◽  
Enterprise Innovation ◽  
Private Venture ◽  
The Impact

Abstract Venture capital (VC) can promote the innovation of invested enterprises through financial support, social networking, and intellectual capital. Based on data of Chinese listed companies from 2003 to 2016, this study, firstly, compares the impact of government and private VC on enterprise innovation using Possion regression, and applies the ITCV method and Negative Binomial Regression for Robustness Examination, then, explores the relationship between their shareholding percentage and enterprise innovation with threshold test. The results show that: the performance of private VC is significantly positive and in line. With the increasing shareholding percentage of private VC, the innovation of invested enterprises increases. The overall performance of government VC, however, is not significant, and the shareholding percentage of government VC also has no significant impact on the innovation of invested companies. Additional testing revealed that a “threshold effect” however exists in the impact of the shareholding percentage of government VC on innovation: within a certain range, the higher the shareholding percentage, the more significant the impact on innovations becomes, but beyond that range, the percentage is inversely related to innovation.

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
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