How R&amp;D partner diversity influences innovation performance: an empirical study in the nano-biopharmaceutical field

Zhang, Guiyang; Tang, Chaoying

doi:10.1007/s11192-018-2831-6

Cited by 39 publications

(20 citation statements)

References 71 publications

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“…The empirical setting of this study is the smartphone collaboration network from 2004 to 2017. We selected one-site schemes and panel data of patents from the Derwent Innovation Database, which provides the most comprehensive collection of global patents (Zhang and Tang, 2018). We selected the smartphone industry because the smartphone sector is knowledge-intensive.…”

Section: Methodsmentioning

confidence: 99%

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Ego-network stability and exploratory innovation: the moderating role of knowledge networks

Wang

Yang

Min

2020

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PurposePrevious studies examined the effect of inter-organizational collaboration relationships on organizational innovation. However, most focused on the configuration of the network from the static network perspective, and few examined the influence of network structure stability on an organization's exploratory innovation from the ego-network perspective. This study addresses this research gap by focusing on ego-network stability and its effect on an organization's exploratory innovation.Design/methodology/approachThe empirical setting is the smartphone collaboration network from 2004 to 2017. We selected one-site schemes and panel data of patents from the Derwent Innovation Database. A negative binomial model with fixed effects was used to test our hypotheses.FindingsThe regression results show that an organization's ego-network stability has an inverted-U-shaped relationship with its exploratory innovation. Global cohesion of the focal organization's knowledge network moderates the process in such a way that when it is at a high level, an organization's exploratory innovation can benefit more from a moderate level of ego-network stability. However, local cohesion moderates in such a way that, at a low level, an organization's exploratory innovation can benefit more from a moderate level of ego-network stability.Originality/valueThis study highlights the importance of ego-network stability and its effect on the focal organization's exploratory innovation. It contributes to the literature on the relationship between ego-network stability and exploratory innovation by investigating the moderating role of global cohesion and local cohesion in knowledge networks.

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Section: Methodsmentioning

confidence: 99%

“…Patent-based measures are widely used as proxies of innovation outputs and have been frequently adopted in previous research (Liang and Liu, 2018; Zhang and Tang, 2018). Therefore, exploratory innovation is determined by the focal organization's exploratory patents in this study.…”

Section: Methodsmentioning

confidence: 99%

Ego-network stability and exploratory innovation: the moderating role of knowledge networks

Wang

Yang

Min

2020

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“…The data of smartphone collaboration network were retrieved from the Derwent Innovation Database. Derwent Innovation Database covers the data of patents issued by many authorities and more than 100 countries, tracks a large amount of activities in the emerging and growing markets, and has been widely used in previous research (Zhang and Tang, 2017; Zhang and Tang, 2018). This empirical setting is apt for the reason that smartphone industry is a typical knowledge-intensive sector, the update of technology is quick, and we can observe numerous events of exploitative and exploratory innovations, which is quite suitable for our study.…”

Section: Methodsmentioning

confidence: 99%

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

Wang

Yang

Min

2019

JBIM

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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.

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“…We constructed alliance network diversity through the Teachman's index, also known as the Entropy Index, initially developed by Shannon. It is widely adopted in diversity research (e.g., [67]). The formula is as follows:…”

Section: Independent Variablesmentioning

confidence: 99%

Alliance Network Diversity and Innovation Ambidexterity: The Differential Roles of Industrial Diversity, Geographical Diversity, and Functional Diversity

Zhang

Tang

2020

Sustainability

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Innovation ambidexterity, namely, performing exploitative and exploratory innovation simultaneously, is important for high-tech firms to achieve sustainable success. This can be achieved by building an egocentric alliance network. Research into the influence of alliance network diversity on innovation ambidexterity is seeing more attention. However, the differences among multiple alliance network diversities are unclear. Grounded on a knowledge-based view, organizational learning theory, and transaction cost theory, this study investigates in-depth the roles of geographical diversity, industrial diversity, and functional diversity of the alliance network. The empirical analysis based on panel data, including alliance data from the SDC Joint & Venture database and patent data from the Derwent Innovation Index database of 106 top high-tech firms from electronic information and biopharmaceutical industries, suggests that industrial diversity enhances firm innovation ambidexterity, geographical diversity impedes firm innovation ambidexterity, and functional diversity shows an inverted U-shaped relationship with firm innovation ambidexterity. These results provide practical suggestions about alliance network diversity configuration and innovation ambidexterity construction for high-tech firms. Sustainability 2020, 12, 1041 2 of 16 composition [17,18], network capability [19,20], network embeddedness [21], network position [22], network brokerage, network tie strength [23], and network dynamics [24], were also found to impact ambidexterity.Recently, increasing attention is being paid to alliance network diversity. Researchers have considered various dimensions of alliance network diversity from the perspectives of partner attributes and alliance attributes [25], including partner type diversity, technological diversity, industrial diversity, geographical diversity, and functional diversity [26,27]. Partner type diversity indicates the diversification of partners including business partners, customers, suppliers, competitors, and venture capital firms, and knowledge partners including universities, research institutions, technology intermediaries, intellectual property organizations, and government agencies. The fact that knowledge partners mainly engage in R&D activities, while business partners primarily engage in production, marketing, or financing suggests that partner type diversity could be reflected by functional diversity. Furthermore, technological diversity mainly indicates the diversification of technology affiliated with alliance partners, which can be reflected by the industrial and national background of partners in the global industry division of innovation. In this respect, it may overlap with industrial diversity and geographical diversity. As such, the industrial diversity, geographical diversity, and functional diversity, which indicate the diversification of industrial background, national background of network partners, and functional attributes of alliance activities, respectively, are investigated...

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How R&D partner diversity influences innovation performance: an empirical study in the nano-biopharmaceutical field

Cited by 39 publications

References 71 publications

Ego-network stability and exploratory innovation: the moderating role of knowledge networks

Ego-network stability and exploratory innovation: the moderating role of knowledge networks

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

Alliance Network Diversity and Innovation Ambidexterity: The Differential Roles of Industrial Diversity, Geographical Diversity, and Functional Diversity

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