Research on the relationship between knowledge grey generation and innovation performance in knowledge-based enterprises

2010 ◽  
Author(s):  
Wang Wenping ◽  
Shan Haiyan ◽  
Chen Yuqing ◽  
Yongbo Cheng
Keyword(s):  
Innovation Performance ◽  
Knowledge Based ◽  
The Relationship

The relationship among knowledge-based dynamic process capabilities, innovation processes and innovation performance: an empirical study of knowledge-based high-tech companies in Iran

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farzad Nazari ◽  
Amir Rahimipour Anaraki ◽  
Seyedeh Safiyeh Taghavi ◽  
Behzad Ghasemi
Keyword(s):  
Dynamic Process ◽  
Innovation Performance ◽  
Equation Modeling ◽  
High Tech ◽  
Content Type ◽  
Knowledge Based ◽  
Mediator Role ◽  
The Relationship ◽  
Innovation Processes

Purpose The purpose of this paper is to investigate the impact of knowledge-based dynamic process capabilities (KBDPCs) on innovation performance, considering the mediator role of innovation processes in the Iranian knowledge-based high-tech companies. Design/methodology/approach Based on an in-depth review of previous studies, the indicators pertaining to the research constructs were extracted. Then, exploratory and confirmatory factor analyses were applied to identify and confirm the research constructs. Partial least squares-based structural equation modeling was used to investigate the intended relationships. Findings The results of the direct effect showed that KBDPCs have a significant positive effect on innovation performance. Further, moderation analysis demonstrated that innovation processes are moderated by the relationship between KBDPCs and innovation performance. Accordingly, the findings revealed that KBDPCs affect product innovation performance and exploratory innovation and transitional innovation increase this effect. Also, the mediator role of exploitation innovation in the relationship between KBDPCs and process innovation performance was proved. Research limitations/implications As this research was performed in the Iranian context, caution should be taken regarding the generalizability of the findings. Practical implications This paper provides a roadmap based on existing scenarios to enhance innovation performance for the surveyed-companies, in particular, and other companies, in general. Social implications The social implication of this study is to respond to the challenge of the managers of Iranian knowledge-based high-tech companies to improve innovation performance through KBDPCs and innovation processes and to grow and develop a sustainable business. Originality/value Given rare studies that have so far been conducted on the research field, this study extends the theories of KBDPCs, innovation processes and innovation performance. The constructs of the research model and relationships intended among them are also significant.

scholarly journals Factors Affecting Outbound Open Innovation Performance in Bio-Pharmaceutical Industry-Focus on Out-Licensing Deals

2021 ◽  
Vol 13 (8) ◽  
pp. 4122
Author(s):  
Eungdo Kim ◽  
InGyu Lee ◽  
Hongbum Kim ◽  
Kwangsoo Shin
Keyword(s):  
Pharmaceutical Industry ◽  
Financial Performance ◽  
Open Innovation ◽  
Development Process ◽  
Innovation Performance ◽  
Factors Affecting ◽  
Pharmaceutical Firms ◽  
Knowledge Based ◽  
Econometric Methodology ◽  
The Relationship

Due to the high risk in development process, the bio-pharmaceutical industry has transformed itself into an open innovation framework in order to overcome economic risk. This study examines the relationship between outbound open innovation and financial performance in bio-pharmaceutical industry. Specifically, this study extends knowledge-based view to link the open innovation performance and licensor’s sustainability. In order to provide empirical evidence, this study uses econometric methodology with several databases including bio-pharmaceutical firms. The analysis shows firm’s desorptive capabilities have a significant effect on financial performance, confirming the application of knowledge capacity framework. The result of the study can suggest the way how the licensors can maintain the sustainability of competitiveness in bio-pharmaceutical industry.

scholarly journals The Relationship between Ambidextrous Knowledge Sharing and Innovation within Industrial Clusters: Evidence from China

10.28945/4299 ◽  
2019 ◽  
Vol 14 ◽  
pp. 145-163
Author(s):  
Ying Han
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Dynamic Capabilities ◽  
Industrial Clusters ◽  
Innovation Performance ◽  
Equation Modeling ◽  
Future Research ◽  
Knowledge Based ◽  
The Relationship

Aim/Purpose: This study examines the influence of ambidextrous knowledge sharing in industrial clusters on innovation performance from the perspective of knowledge-based dynamic capabilities. Background: The key factor to improving innovation performance in an enterprise is to share knowledge with other enterprises in the same cluster and use dynamic capabilities to absorb, integrate, and create knowledge. However, the relationships among these concepts remain unclear. Based on the dynamic capability theory, this study empirically reveals how enterprises drive innovation performance through knowledge sharing. Methodology: Survey data from 238 cluster enterprises were used in this study. The sample was collected from industrial clusters in China’s Fujian province that belong to the automobile, optoelectronic, and microwave communications industries. Through structural equation modeling, this study assessed the relationships among ambidextrous knowledge sharing, dynamic capabilities, and innovation performance. Contribution: This study contributes to the burgeoning literature on knowledge management in China, an important emerging economy. It also enriches the exploration of innovation performance in the cluster context and expands research on the dynamic mechanism from a knowledge perspective. Findings: Significant relationships are found between ambidextrous knowledge sharing and innovation performance. First, ambidextrous knowledge sharing positively influences the innovation performance of cluster enterprises. Further, knowledge absorption and knowledge generation capabilities play a mediating role in this relationship, which confirms that dynamic capabilities are a partial mediator in the relationship between ambidextrous knowledge sharing and innovation performance. Recommendations for Practitioners: The results highlight the crucial role of knowledge management in contributing to cluster innovation and management practices. They indicate that cluster enterprises should consider the importance of knowledge sharing and dynamic capabilities for improving innovation performance and establish a multi-agent knowledge sharing platform. Recommendation for Researchers: Researchers could further explore the role of other mediating variables (e.g., organizational agility, industry growth) as well as moderating variables (e.g., environmental uncertainty, learning orientation). Impact on Society: This study provides a reference for enterprises in industrial clusters to use knowledge-based capabilities to enhance their competitive advantage. Future Research: Future research could collect data from various countries and regions to test the research model and conduct a comparative analysis of industrial clusters.

The Contingent Effect of Team Composition on the Performance of Entrepreneurial Teams

2019 ◽  
pp. 654-680
Author(s):  
Serghei Musaji ◽  
Julio De Castro
Keyword(s):  
Future Research ◽  
Team Composition ◽  
Team Members ◽  
Team Diversity ◽  
Entrepreneurial Teams ◽  
Knowledge Based ◽  
Fertile Ground ◽  
Active Debate ◽  
And Performance ◽  
The Relationship

Despite the continuous interest in studying entrepreneurial teams, the relationship between team composition and, particularly, team diversity and performance remains fertile ground for active debate. Taking roots in the knowledge-based view and organizational learning literatures, this chapter argues that performance in entrepreneurial teams is contingent on (a) the overlap between team members’ knowledge/competences and the content of the performed tasks, (b) the duplication of the team members’ knowledge in the areas with that content, (c) the nature of tasks (exploration or exploitation), (d) the team’s flexibility to adapt to changes in the content and nature of those tasks, and (e) the rate of environmental change. Because an important source of ambiguity in the understanding of how team diversity and performance are linked ties to issues of how team diversity is conceptualized and operationalized, the chapter also proposes a new way of looking at diversity in future research.

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

scholarly journals Do Interlocks Lead to the Convergence of Interfirm Innovation Performance? Evidence From China

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110071
Author(s):  
Ying Teng ◽  
Eli Gimmon ◽  
Wentong Lu
Keyword(s):  
Network Effects ◽  
Demographic Characteristics ◽  
Innovation Performance ◽  
Driving Mechanism ◽  
Interlocking Directorates ◽  
Board Interlocks ◽  
Enterprise Innovation ◽  
New Perspective ◽  
The Relationship ◽  
Level Analysis

We examine how interlocking directorates influence innovation performance differentials between firms. Our study offers a new perspective of the effect of interlocking directorate ties upon innovation performance, focusing on network effects on interfirm performance. Using a sample of China’s listed companies for the period 2012–2016, we empirically examined the relationship between board interlocks and interfirm innovation performance differentials. The results demonstrate that the presence of board interlocks reduces interfirm innovation performance differentials and leads to a convergence of innovation performance between the connected companies. Furthermore, cross-level analysis found that the relationship between board interlocks and interfirm innovation performance differentials is moderated by the interfirm industry attributes and demographic characteristics of the board. This study expands the existing research in explaining the driving mechanism of enterprise innovation performance as affected by interlocking directorate ties.

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