The Duality of Knowledge Networks: The Impact of Production and Usage Networks on Academic Citations

Author(s):  
Atul Nerkar ◽  
Nandini Lahiri
2018 ◽  
Vol 22 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Jose Antonio Belso-Martinez ◽  
Isabel Diez-Vial

Purpose This paper aims to explain how the evolution of knowledge networks and firms’ strategic choices affect innovation. Endogenous factors associated with a path-dependent evolution of the knowledge network are jointly considered with a firm’s development of international relationships and increasing internal absorptive capacity over time. Design/methodology/approach In a biotech cluster, the authors gathered data on the firms’ characteristics and network relationships by asking about the technological knowledge they received in the cluster in 2007 and 2012 – “roster-recall” method. Estimation results were obtained using moderated regression analysis. Findings Firms that increase their involvement in knowledge networks over time also tend to increase their innovative capacity. However, efforts devoted to building international links or absorptive capacity negatively moderate the impact of network growth on innovation. Practical implications Practitioners have two alternative ways of increasing innovation inside knowledge networks: they can increase their centrality by developing their knowledge network interactions or invest in developing their internal absorptive capacity and new international sources of knowledge. Investing in both of these simultaneously does not seem to improve a firm’s innovative capacity. Originality/value Coupling firms’ strategic options with knowledge network dynamics provide a more complete way of explaining how firms can improve their innovative capacity.


Mobilities ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. 440-465 ◽  
Author(s):  
Margarida Fontes ◽  
Pedro Videira ◽  
Teresa Calapez

2014 ◽  
Vol 66 (2) ◽  
pp. 156-174 ◽  
Author(s):  
Atieh Bourouni ◽  
Siamak Noori ◽  
Mostafa Jafari

Purpose – This study aims to empirically evaluate the impact of interorganizational groupings on corporate performance in project-based organizations. Design/methodology/approach – The study develops and tests a theoretical model whereby groupings include project team, community of practice (CoP), community of interest (CoI), and knowledge network (KN). Organizational performance is supported on financial, process, internal, and cultural aspects. Based on a questionnaire, data was obtained from a sample of 142 companies in North America. The measurement model was tested and confirmed by using structural equation modeling (SEM). Findings – The results confirm the positive effects of knowledge networks and communities of interest. However, the impact of project teams turned out to be negative, and communities of practice were not shown to affect corporate performance. Additionally, the results underscore the importance of organizational networks in creating conditions favorable to a firm's success. Practical implications – It was verified that knowledge networks and communities of interest affect the measures of organizational performance, including financial, process, internal, and cultural performance. This is useful for researchers and executives looking for appropriate outcomes through the implementation of knowledge management initiatives. Furthermore, this study provides a starting point for further research on the role of inter- and intraorganizational networks in project-based organizations. Originality/value – This study claims that a key to performance for project-based organizations is development and management of organizational networks in the form of knowledge networks and communities of interest.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Yan Zhao ◽  
Xiao Han ◽  
Xiaoran Yang ◽  
Zheng Li

R&D alliances and knowledge networks are vital to the innovation process. Based on the multilevel network approach, our study comprehensively investigates several knowledge attributes of interorganizational knowledge networks and explores how R&D alliance networks are relevant for the relationship between knowledge attributes and organizational innovation capability. Samples in our research include 86 cliques from 2010 to 2015 in five Chinese high-tech industries’ R&D alliance networks. Results from the negative binomial regression model show that different knowledge attributes show a distinct effect on organizational innovation capability, including linear relationship, inverted U-shaped curve relationship, and inverted S-shaped curve relationship. Besides, our results identify that the central position within R&D alliance networks plays a limited role in the relationship between knowledge attributes and organizational innovation capability. Our findings could be used to help organizations sort out their knowledge attributes of knowledge bases, come to understand the impact of the interaction between the interorganizational knowledge network and R&D alliance network on the organizational innovation capability, and then make a targeted strategy to carry out innovation activities.


2017 ◽  
Vol 49 (6) ◽  
pp. 1247-1265 ◽  
Author(s):  
Robert Huggins ◽  
Piers Thompson

In recent years, increased attention has been given to role of inter-organisational knowledge networks in promoting regional economic growth. Nevertheless, the empirical evidence base concerning the extent to which inter-organisational knowledge networks influence regional growth is at best patchy. This article utilises a panel data regression approach to undertake an empirical analysis of economic growth across regions of the UK. Drawing on the concept of network capital, significant differences in the stocks of network capital and flows of knowledge within and across regions are found, which are significantly associated with regional rates of economic growth. The analysis finds that both inter and intra-regional networks shape regional growth processes, highlighting the role of both embedded localised linkages and the importance of accessing more geographically distant knowledge. The study adds weight to the suggestion that one of the most interesting implications of endogenous growth theory relates to the impact of the spatial organisation of regions on flows of knowledge. It is concluded that the adoption of a relational approach to understanding differing economic geographies indicates that network systems are a key component of the regional development mix.


2017 ◽  
Vol 11 (2) ◽  
pp. 407-422 ◽  
Author(s):  
Jiancheng Guan ◽  
Yan Yan ◽  
Jing Jing Zhang

2018 ◽  
Vol 26 (5) ◽  
pp. 115-134
Author(s):  
Rashaa Malik Musa Al-Khafaji

The city was formed historically as a node for human activities. Its formation depends on the resources and relations in areas of production and distribution; therefore, it was divided into special zones with different economic activities that depend on them (industrial, recreational, commercial, residential areas and other uses of land). The physical and functional features of the city reflected imposed social and digital systems. The Technological advances have expanded the role of knowledge in everyday life that established the concept of knowledge networks. This study deals with the concept of knowledge networks as  an updated multidimensional strategy which imposes its ways to deal with the historic urban system as a part of the larger one, where the developed technology imposes its needs of the organizational vision of the city as  part of the global system. This study hypothesis that the knowledge networks is a concept not separated from the historic space networks in cities. The study also hypothesis that these historic networks, which were formed from nodes and links impose the strategic vision to adopt and promote the knowledge networks into urban level. This study aims to clarify the concept of knowledge networks as an updated strategy for the urban growth, shows the role of nodes, and links which had grown historically in cities to adopt and promote strategies for the knowledge networks. This research adopted a method to achieve its aims, through studying the cognitive network mechanism and the role of urban characteristics as guidelines to strengthen these networks in a number of global examples, and then use the global experience to build a vision for network strategy in the Iraqi city to produce a new urban pattern. The main conclusion is that the historic urban ties act as a mutual force along with the global mechanism of knowledge network so that each city would show its special response to the network pattern.


Author(s):  
Roberta Comunian

Much research and debate on the impact and roles played by arts festivals in regional development concentrates on their external impacts and on two as- pects in particular. One is the economic impact of festivals and their potential to attract tourism and therefore benefit the local economy; second is the role they can play in rebranding or regenerating a locality, specifically looking at people’s pride in place, social cohesion and the participation of specific social groups. However, instead of looking at the external impacts of festivals on communities and economies, this chapter will examine the impact of festivals on one of their core stakeholders: participating artists (Glow and Caust, 2010). 1 The research takes theoretical approaches from the regional and organisational studies field, such as ‘communities of practice’ (Wenger, 1998), ‘learning by doing’ (Arrow, 1962), learning-by-interacting (Lundvall, 1992) and ‘temporary clusters’ (Bathelt and Schuldt, 2008) to explore the creative practice of artists involved in an emerging UK arts festival (Fuse Medway Festival, Kent). It discusses the role of the festival on artists’ careers, their creative practice and their ability to learn and connect with other creative producers and asks: ‘are festivals also knowledge communities?’


1962 ◽  
Vol 14 ◽  
pp. 415-418
Author(s):  
K. P. Stanyukovich ◽  
V. A. Bronshten

The phenomena accompanying the impact of large meteorites on the surface of the Moon or of the Earth can be examined on the basis of the theory of explosive phenomena if we assume that, instead of an exploding meteorite moving inside the rock, we have an explosive charge (equivalent in energy), situated at a certain distance under the surface.


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