Multi-network embeddedness and innovation performance of R&D employees

2021 ◽  
Author(s):  
Taiye Luo ◽  
Zhengang Zhang
Keyword(s):  
Innovation Performance ◽  
Network Embeddedness

scholarly journals Enhancing the Innovation Performance of Small and Medium-Sized Enterprises Through Network Embeddedness

2020 ◽  
Vol 12 (3) ◽  
pp. 156-171
Author(s):  
Wisdom Wise Kwabla Pomegbe ◽  
Wenyuan Li ◽  
Courage Simon Kofi Dogbe ◽  
Charles Oduro Acheampong Otoo
Keyword(s):  
Structural Equation ◽  
Sampling Technique ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Equation Modeling ◽  
External Resources ◽  
Goods And Services ◽  
Network Embeddedness ◽  
The Rich ◽  
Positive Effect

Based on Resource Based Theory (RBT), the competitiveness of Small and Medium-sized Enterprises (SMEs) depends on the uniqueness of resources used in the production and delivering of goods and services. Moreover, the innovation capability of SMEs is critical in enhancing their uniqueness. Various factors, however, could potentially influence SME innovation performance. This present study thus focuses on how SME innovation performance could be enhanced through the three dimensions of network embeddedness (relational, structural and cognitive). Founded on Resource Dependency Theory (RDT), the study seeks to demonstrate how SMEs could tap into the rich external resources within the networks they are embedded in. The study was based on 388 SMEs selected using a purposive sampling technique. A structured questionnaire was used for the data collection, with the data analyzed by structural equation modeling performed in Amos (v.20). The findings revealed that relational, structural and cognitive embeddedness had a positive effect on innovation performance, while structural embeddedness had the greatest impact on SME innovation performance. As such, SMEs seeking to improve their innovation performance through networks should pay critical attention to the network tie and density. Past studies on network embeddedness and innovation performance have shown conflicting results, and therefore this present study makes a notable contribution to the ongoing debate. Past studies have indicated a positive, negative, inverted u-shape, and even no significant relationship at all between the various dimensions of network embeddedness and innovation performance.

University–Industry Collaboration, Knowledge Management and Enterprise Innovation Performance

2008 ◽  
Vol 22 (5) ◽  
pp. 275-287 ◽  
Author(s):  
Jin Chen ◽  
Shiyang Wei
Keyword(s):  
Knowledge Management ◽  
Innovation Performance ◽  
Learning Performance ◽  
Network Embeddedness ◽  
Industry Collaboration ◽  
Management Perspective ◽  
Core Elements ◽  
Enterprise Innovation ◽  
Enterprise Level ◽  
University Industry

This empirical study is concerned with university–industry collaboration from a knowledge management perspective. The authors introduce the concepts of ‘enterprise-level core elements’ to define the principle status of an enterprise during university–industry collaboration, and ‘network embeddedness’ as an indication of the closeness of the collaboration. Furthermore, they examine the method of knowledge management. Finally, they use both learning performance and product innovation performance to measure an enterprise's innovation performance.

The effects of network embeddedness on service innovation performance

2010 ◽  
Vol 30 (10) ◽  
pp. 1723-1736 ◽  
Author(s):  
Jung-Tang Hsueh ◽  
Neng-Pai Lin ◽  
Hou-Chao Li
Keyword(s):  
Service Innovation ◽  
Innovation Performance ◽  
Network Embeddedness

Network embeddedness and innovation performance: a mediation moderation analysis using PLS-SEM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongyun Tian ◽  
Shuja Iqbal ◽  
Farooq Anwar ◽  
Shamim Akhtar ◽  
Muhammad Aamir Shafique Khan ◽  
...  
Keyword(s):  
Absorptive Capacity ◽  
Significant Relationship ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Innovation Performance ◽  
Equation Modeling ◽  
Content Type ◽  
Network Embeddedness ◽  
The Impact ◽  
The Relationship

PurposeThis study examines the impact of network embeddedness (NE) on innovation performance in small- and medium-sized enterprises (SMEs), and analyses absorptive capacity as mediator and openness as moderator.Design/methodology/approachData were collected from 209 employees of SMEs using a convenient sampling technique. Partial least squares structural equation modeling in SmartPLS was used to analyze the various constructs.FindingsThe results exhibit a positive and significant relationship in NE and absorptive capacity. Also, this study found a positive and significant relationship in absorptive capacity and innovation performance. Moreover, absorptive capacity has a positive and significant mediation role in the relationship between NE and innovation performance. Also, openness positively moderated the relationship of NE and absorptive capacity.Practical implicationsSMEs should try to implement the functions of NE, such as interaction with other firms in higher frequency, developing trust among all parties, clear alliance among the partners to enhance innovation performance. Similarly, SMEs should focus on absorptive capacity and openness to enrich innovation performance.Originality/valueThis study adds in the current literature of the chosen constructs and empirically contributes the effects in the manufacturing industry of Jiangsu Province, China.

scholarly journals Impacts of Network Embeddedness Structure on Innovation Performance

2011 ◽  
Vol 2 (2) ◽  
pp. 25
Author(s):  
Jian Zhaoquan ◽  
Wu Zhuoshen ◽  
Liu Rong
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Positive Impact ◽  
Innovation Performance ◽  
Equation Modeling ◽  
High Tech ◽  
Research Approach ◽  
Network Embeddedness ◽  
Structure Knowledge ◽  
New Research

Driven by the trend of global economic integration, informationlization and networking, the era of open innovation has arrived. Relationship network has become a new research approach of probing into the enterprises’ innovation, but the results are various. This research draws 114 samples from high-tech enterprises, utilizing structural equation modeling, aiming to explore the relationship among network embeddedness structure, knowledge sharing and innovation performance. Research results show that: (1) Enterprises’ relational embeddedness and structural embeddedness have a significant positive impact on innovation performance; (2) Knowledge sharing is the mediating variable in the path of network embeddedness structure on innovation performance. Hoping these results can enrich related theory, and also provide some practicing guidance for enterprises establishing relationship networks to improve innovation performance.

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