Distance between Partners' Knowledge Base Components - An Explanation of Joint Innovation Performance (WITHDRAWN by author. Paper published in a journal 5/1/12) (WITHDRAWN)

2012 ◽  
Vol 2012 (1) ◽  
pp. 15643 ◽  
Author(s):  
Anja Schulze ◽  
Gundula Brojerdi
Keyword(s):  
Knowledge Base ◽  
Innovation Performance ◽  
Author Paper

A study of the relationship between the knowledge base and the innovation performance under the organizational slack regulating

2015 ◽  
Vol 53 (10) ◽  
pp. 2202-2225 ◽  
Author(s):  
Xin Jin ◽  
Jie Wang ◽  
Song Chen ◽  
Ting Wang
Keyword(s):  
Knowledge Base ◽  
Research Work ◽  
Innovation Performance ◽  
Hierarchical Regression ◽  
Organizational Slack ◽  
Content Type ◽  
Clear Explanation ◽  
Survey Sample ◽  
Different Dimensions ◽  
Knowledge Depth

Purpose – The purpose of this paper is to examine how the knowledge breadth and depth and the balance of the two affect various dimensions of the innovation performance under the consideration of the organizational slack as a moderating factor of the analysis framework. Design/methodology/approach – This study constructs and verifies a research model of knowledge breadth and depth to the explorative and exploitative innovation performance, using the exploratory factor analysis and the hierarchical regression analysis based on a survey sample of 320 Chinese companies. Findings – The knowledge base is a critical foundation for improving innovation performance of an enterprise. A more detailed analysis reveals that first knowledge breadth provides more benefits for explorative innovation performance while the knowledge depth is more advantageous to exploitative innovation performance of an organization. Second, organizational slack can positively facilitate the improvement of the knowledge depth for the explorative innovation performance while an optimal balance of the knowledge breadth and depth can significantly enhance exploitative innovation performance. Originality/value – This paper contributes to previous research work by providing both specific comparative studies and a clear explanation of the impacts of different dimensions of the knowledge base, i.e., knowledge breadth and knowledge depth, on innovation performance measures of both exploration and exploitation through a comprehensive empirical study. In particular, organizational slack is found to play a much more complicated moderation role between the knowledge base and the two different dimensions of innovation performance than has been demonstrated in previous research.

scholarly journals Knowledge Base Combinations and Innovation Performance in Swedish Regions

2016 ◽  
Vol 93 (5) ◽  
pp. 458-479 ◽  
Author(s):  
Markus Grillitsch ◽  
Roman Martin ◽  
Martin Srholec
Keyword(s):  
Knowledge Base ◽  
Innovation Performance

scholarly journals Relationship Between Enterprise Knowledge-Based Network and Dual Innovation Performance

2019 ◽  
Author(s):  
Chun-ling Li ◽  
jiajia hao ◽  
Run-sen Yuan
Keyword(s):  
Knowledge Base ◽  
Innovation Performance ◽  
Analysis Method ◽  
Patent Data ◽  
Information Industry ◽  
Electronic Information ◽  
Knowledge Based ◽  
The Social ◽  
Exploratory Innovation ◽  
Base Network

<p><b> In order to explore the impact of the intrinsic relationship among knowledge based elements on exploratory innovation performance and exploitative innovation performance. This paper drawing on the social network analysis method, takes 269 companies of the electronic information industry listed on the main board as samples and uses the 2012-2016 patent data to construct the enterprise knowledge base network structure and measures the density centralization and structure hole of the knowledge base network, and tests the relationship between the above three network eigenvalues and dual innovation performance through negative binomial regression method.</b></p><p><b>Originality/value</b><b>: </b>This paper define the exploitative innovation and exploratory innovation in this paper. Through the social network analysis method, using the industrial patent data of China's electronic information industry, constructing the enterprise knowledge base network structure, visualizing it, to analyze the different relationship between the overall characteristics of the network including network density, centralization, structural hole and enterprise exploitative innovation and exploratory innovation. <b></b></p>

Relationship Between Enterprise Knowledge-Based Network and Dual Innovation Performance

2019 ◽  
Author(s):  
Chun-ling Li ◽  
jiajia hao ◽  
Run-sen Yuan
Keyword(s):  
Knowledge Base ◽  
Innovation Performance ◽  
Analysis Method ◽  
Patent Data ◽  
Information Industry ◽  
Electronic Information ◽  
Knowledge Based ◽  
The Social ◽  
Exploratory Innovation ◽  
Base Network

<p><b> In order to explore the impact of the intrinsic relationship among knowledge based elements on exploratory innovation performance and exploitative innovation performance. This paper drawing on the social network analysis method, takes 269 companies of the electronic information industry listed on the main board as samples and uses the 2012-2016 patent data to construct the enterprise knowledge base network structure and measures the density centralization and structure hole of the knowledge base network, and tests the relationship between the above three network eigenvalues and dual innovation performance through negative binomial regression method.</b></p><p><b>Originality/value</b><b>: </b>This paper define the exploitative innovation and exploratory innovation in this paper. Through the social network analysis method, using the industrial patent data of China's electronic information industry, constructing the enterprise knowledge base network structure, visualizing it, to analyze the different relationship between the overall characteristics of the network including network density, centralization, structural hole and enterprise exploitative innovation and exploratory innovation. <b></b></p>

Dynamic positioning matters: uncovering its fundamental role in organization’s innovation performance

2019 ◽  
Vol 35 (5) ◽  
pp. 785-793 ◽  
Author(s):  
Jingbei Wang ◽  
Naiding Yang ◽  
Min Guo
Keyword(s):  
Knowledge Base ◽  
Negative Binomial ◽  
Innovation Performance ◽  
Collaboration Network ◽  
Dynamic Positioning ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship ◽  
Exploratory Innovation

Purpose This paper aims to propose the following questions: How does dynamic positioning influence organization’s innovation performance? Does knowledge base mediate the relationship between them? Design/methodology/approach The empirical setting of this study is the smartphone collaboration network from 2004 to 2017; the authors selected one-site schemes and data of patents from the Derwent Innovation Database. Furthermore, the authors adopted the negative binomial model with random effects to test the hypotheses. Findings The regression results show that organization’s dynamic positioning has an inverted-U-shaped relationship with its exploratory innovation. Similarly, organization’s dynamic positioning has an inverted-U-shaped relationship with its exploitative innovation. Besides, knowledge base mediates the relationship between dynamic positioning and organization’s innovation performance. Originality/value This study empirically confirms the relationship between dynamic positioning and organization’s innovation performance by separately examining exploratory and exploitative innovation. Furthermore, this study provides a contribution to the literature linking dynamic positioning and organization’s innovation performance by investigating the mediating role of knowledge base.

scholarly journals Collaborative Innovation Network, Knowledge Base, and Technological Innovation Performance-Thinking in Response to COVID-19

2021 ◽  
Vol 12 ◽  
Author(s):  
Su Jialu ◽  
Ma Zhiqiang ◽  
Zhu Binxin ◽  
Xie Haoyang ◽  
Agyeman Fredrick Oteng ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Technological Innovation ◽  
Positive Relationship ◽  
Patent Application ◽  
Multiple Linear Regression Model ◽  
Two Dimensions ◽  
Innovation Performance ◽  
Clustering Coefficient ◽  
Innovation Network ◽  
Collaborative Innovation

Amid the pandemic of COVID-19, the collaborative innovation network of enterprises is conducive to the sharing of innovation resources, knowledge transfer, and technology diffusion, which is closely related to the improvement of corporate technological innovation performance. Based on the patent application data of listed enterprises in Jiangsu, Zhejiang, and Shanghai in China, this study constructs a cooperation matrix, describes the characteristics of collaborative innovation network from two dimensions of network structure and network relationship, introduces the breadth of the knowledge base as a moderating variable, and analyzes the nexus between characteristics of a collaborative innovation network and technological innovation performance. Based on the panel data of 193 listed companies in Jiangsu, Zhejiang, and Shanghai, this study uses a multiple linear regression model for empirical analysis. The results show a U-shaped relationship between clustering coefficient and technological innovation performance. The breadth of knowledge base strengthens the positive relationship between the structural hole and technological innovation performance. In contrast, the breadth of knowledge base weakens the positive relationship between network relationships strength and technological innovation performance. The study findings will enhance enterprises’ participation in a suitable collaborative innovation according to their knowledge-based characteristics and improve the technological innovation performance.

scholarly journals The Influence of a Firm’s Capability and Dyadic Relationship of the Knowledge Base on Ambidextrous Innovation in Biopharmaceutical M&As

2019 ◽  
Vol 11 (18) ◽  
pp. 4920 ◽  
Author(s):  
Ye Jin Lee ◽  
Kwangsoo Shin ◽  
Eungdo Kim
Keyword(s):  
Knowledge Base ◽  
Negative Binomial ◽  
Empirical Studies ◽  
Negative Binomial Regression ◽  
Innovation Performance ◽  
Dyadic Relationship ◽  
Development Costs ◽  
Binomial Regression ◽  
Relationship Of ◽  
The Impact

In recent years, technological mergers and acquisitions (M&As) have become important strategic tools for enterprises to access and utilize new external knowledge. In particular, in the biopharmaceutical industry, M&A activities are actively being progressed due to an increase in new drug development costs, a decrease in R&D productivity, and the patent expiration of blockbuster drugs. However, there is a lack of research on the integrated view of (1) the acquirer’s capability and (2) the dyadic relationship of the knowledge base between the acquirer and target on the innovation performance of the acquirer. Furthermore, there are few empirical studies on the impact of these factors on ambidextrous innovation; that is, exploitative and explorative innovation. Therefore, with this integrated view in mind, this study analyzed the effect of each factor on the exploitative and exploratory innovation performance of the acquirer. A negative binomial regression was conducted using patent data to measure the innovation outcome of the acquirer after M&A. The findings suggest that (1) the acquisition experience of the acquirer and (2) the technological commonness between the acquirer and the target both had a significant impact on the exploitation and exploration innovation performance.

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