When do structural holes in employees' networks improve their radical creativity? A moderated mediation model

Tang, Chaoying; Zhang, Guiyang; Naumann, Stefanie E.

doi:10.1111/radm.12286

Cited by 22 publications

(28 citation statements)

References 48 publications

(70 reference statements)

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“…Research has drawn on network structure conceptions such as 'small worlds', whereby dense clusters of network actors are linked to other clusters via a relatively small number of bridging links (Watts 1999;Gulati et al 2012). Similarly, research drawing on Burt's (1982Burt's ( , 1992Burt's ( , 2005 notion of structural holes, whereby actors who link previously unconnected actors within a network are considered to occupy privileged and central positions, has been applied to innovation studies (Stuart 1998;Ahuja 2000;Zaheer and Bell 2005;Massard and Mehier 2009;Zaheer and Soda 2009;Tortoriello 2015;Tang et al 2017;Kim et al 2018;Zang 2018). These studies all tend to identify network actor centrality as being associated with innovation outcomes, as well as the extent to which actors are embedded within either closed or open network structures.…”

Section: Network Structure and Spacementioning

confidence: 99%

Universities and open innovation: the determinants of network centrality

2019

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This paper addresses the 'network' and 'open innovation' paradigms by seeking to examine the factors associated with structural positioning within university-industry networks. Drawing upon a network analysis of knowledge-based ties held by universities across the regions of the UK, it is found that those universities with the most central positions (network centrality) within university-industry network structures also have high rates of relational involvement in activities such as spin-off generation and engagement in externally funded research projects. Some forms of activity, in particular intellectual property protection through patenting, are found to be negatively associated with centrality. Spatial location is largely found to be unrelated to the network centrality of universities. By utilising network centrality as one measure of the open innovation capability of universities, the paper indicates that a range of institutional characteristics and factors tend to either promote or limit the engagement of universities in open innovation practices.

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Section: Network Structure and Spacementioning

confidence: 99%

Universities and open innovation: the determinants of network centrality

2019

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“…Based on our results we offered some recommendations about use of different structural holes measures in the context of simple and complex networks whether related to innovation, partnerships, team management etc. (Tang et al ., 2017; Zang, 2018), business sector of the organization (Grandinetti, 2018) or governance model (Zhao and Burt, 2018).…”

Section: Resultsmentioning

confidence: 99%

Research on Structural Holes: An Assessment on Measurement Issues

Saglietto

Cézanne

David

2020

Journal of Economic Surveys

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Social capital theory generally analyses network structures by focusing on the connections between players. However, it has been suggested by several authors that the absence of relations in a network or ‘structural holes’ is meaningful. The aim of our paper is to provide a global survey and appraisal of the academic research on structural holes and discuss its main measurements. We adopt a bibliometric approach and identify a typology of practices, developments, and issues related to structural holes. We highlight a strand of work on operationalization of structural holes, and discuss the various measures they propose. We provide numerical examples emphasizing the respective advantages and limitations of the studied measures. Based on our results, we propose a guide to using existing measures of structural holes according to the type (simple or complex) of network.

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“…The position of structural holes helps actor access different knowledge [43]. In other words, the crucial role of a "bridge" gives actors more opportunity to attain diversified external knowledge [30][31][32]45]. As Burt [46] pointed out, actors occupying structural holes face chances to exploit and transfer diverse knowledge.…”

Section: The Impact Of Organizations' Accessed External Scientific Knmentioning

confidence: 99%

“…Firstly, our results revealed that organizations' structural holes and degree centrality of scientific cooperation network positively influence their scientific knowledge generation. The rich structural holes help bring variety of external heterogeneous knowledge [30][31][32][34][35][36]45]. Organizations with central position can access more external knowledge, and thus have more opportunities of knowledge-recombination [51] and accessing varied knowledge [33].…”

Section: Main Findingsmentioning

confidence: 99%

How Does Inter-Organizational Cooperation Impact Organizations’ Scientific Knowledge Generation? Evidence from the Biomass Energy Field

Tang

2020

Sustainability

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Previous studies have demonstrated that accessing external knowledge is important for organizations’ knowledge generation. The main purpose of this study is to investigate how the diversity and amount of organizations’ external scientific knowledge influence their scientific knowledge generation. We also consider the moderating effect of the redundant industrial scientific knowledge and the amount of technical knowledge from external technical cooperators. The social network analysis method is used to establish both ego- and industrial-scientific cooperation network, and ego-technical cooperation network in order to analyze the external scientific knowledge and technical knowledge. The empirical analysis is based on patent and article data of 106 organizations in the biomass energy industry (including firms, universities and research institutes), and the results show that organizations’ structural holes and degree centrality of scientific cooperation network have positive effects on their scientific knowledge generation. In addition, organizations’ degree centrality of technical cooperation network positively moderates the relationship between their degree centrality of scientific cooperation network and scientific knowledge generation. Furthermore, density of industrial scientific cooperation network decreases the positive effect of organizations’ structural holes on their scientific knowledge generation, while it strengthens the positive effect of degree centrality of scientific cooperation network on their scientific knowledge generation. Academic contributions and practical suggestions are discussed.

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When do structural holes in employees' networks improve their radical creativity? A moderated mediation model

Cited by 22 publications

References 48 publications

Universities and open innovation: the determinants of network centrality

Universities and open innovation: the determinants of network centrality

Research on Structural Holes: An Assessment on Measurement Issues

How Does Inter-Organizational Cooperation Impact Organizations’ Scientific Knowledge Generation? Evidence from the Biomass Energy Field

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