The centrality and innovation performance of the quantum high-level innovation team: the moderating effect of structural holes

2021 ◽  
pp. 1-15
Author(s):  
Yue Yang ◽  
Yi She ◽  
Jin Hong ◽  
QingQiu Gan
Keyword(s):  
Moderating Effect ◽  
Innovation Performance ◽  
Structural Holes ◽  
High Level ◽  
Innovation Team

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.

The Mechanism of Entrepreneurs’ Social Networks on Innovative Startups’ Innovation Performance Considering the Moderating Effect of the Entrepreneurial Competence and Motivation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Junguang Gao ◽  
Yuan Cheng ◽  
Hui He ◽  
Fuzhen Gu
Keyword(s):  
Social Networks ◽  
Social Network Theory ◽  
Moderating Effect ◽  
Innovation Performance ◽  
Structured Interviews ◽  
Resource Based View ◽  
External Resources ◽  
Mechanism Model ◽  
The Social ◽  
Internal Mechanism

Abstract Innovative startups can bring many benefits to society. Drawing on the social network theory (SNT) and resource-based view (RBV), with mix methods approach, this paper argues that as the primary path for startups acquiring external resources, social networks are beneficial to improving innovative startups’ innovation performance. Using a large amount of data from GEM (Global Entrepreneurship Monitor), this paper first runs correlation analysis and regression analysis to empirically analyze entrepreneurs’ social networks’ impact on China’s innovative startups’ innovation performance. The results show that both formal and informal social networks are positively correlated with innovative startups’ innovation performance. Then we consider the moderating effect of entrepreneurial competence and motivation. And the results show both entrepreneurial competence and motivation positively moderate the correlation above. Second, to explore the above correlation’s internal mechanism, we conduct semi-structured interviews with 14 entrepreneurs. Drawing on the resource management theory (RMT) and the process of cross-border knowledge search and assimilation, the mechanism model of entrepreneurs’ social networks on startups’ innovation performance is proposed through content analysis.

Regional government R&D investment and innovation performance: the moderating effect of geographical and organizational proximities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dongyun Zhu ◽  
Bingfen Xu
Keyword(s):  
Moderating Effect ◽  
Innovation Performance ◽  
Regional Government ◽  
Multilevel Regression ◽  
Regional Innovation ◽  
Government Investment ◽  
Content Type ◽  
Organizational Proximity ◽  
The Relationship ◽  
D Investment

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.

Impact of web banner advertising frequency on attitude

2018 ◽  
Vol 30 (2) ◽  
pp. 380-399 ◽  
Author(s):  
Rahim Hussain ◽  
Ahmed Shahriar Ferdous ◽  
Gillian Sullivan Mort
Keyword(s):  
Online Advertising ◽  
Repetition Effect ◽  
Brand Attitude ◽  
Moderating Effect ◽  
Future Research ◽  
Content Type ◽  
Banner Advertisements ◽  
Banner Advertisement ◽  
High Level ◽  
The Impact

Purpose The purpose of this paper is to examine whether advertising type (static or dynamic) and appeal (emotional or rational) moderate the relationship between web banner advertising frequency and consumer attitudinal response. Design/methodology/approach A laboratory experiment involving 400 participants was conducted to test for the moderating effect. Factorial ANOVA is used to measure brand attitude. Findings The results identified that the web banner advertisement type acted as a moderator between frequency and brand attitude. However, the moderating effect of banner advertisement appeal was found to be insignificant at a single banner advertisement frequency (i.e. exposure) but significantly different at a higher frequency. The study findings provide better directives for online marketers. Practical implications The major limitation is the fact that the impact of banner advertisement frequency was manipulated from one to five exposures. Future research needs to determine what happens after the fifth exposure, perhaps ten exposures or more, to determine the wear-out effect and in turn, to decide on the optimal frequency level in an effort to design more appropriate web communication strategies. Social implications The result shows that pop-up banner advertisements are intrusive, and that high level of exposures to pop-up banner advertisement could annoy online users. Thus, online advertisers should avoid repeating the pop-up banner advertisements because this could adversely affect the attitude towards the online advertising in general, and could also negatively influence attitudes towards the brand and ultimately effect online purchase. Originality/value This study contributes to the theory by providing more insights into the repetition effect, and comprehensive conclusions can be drawn based on the manipulation of banner advertisement frequency on different frequency levels. The research identifies that if the communication objective is to generate brand attitude, different strategies can be adopted depending on the banner advertisement type (pop-up vs static) and banner advertisement appeal (emotional vs rational).

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