INTERFIRM COLLABORATION NETWORKS: THE IMPACT OF SMALL WORLD CONNECTIVITY ON FIRM INNOVATION.

2005 ◽  
Vol 2005 (1) ◽  
pp. O1-O6 ◽  
Author(s):  
Corey Phelps ◽  
Melissa A. Schilling
Keyword(s):  
Small World ◽  
Collaboration Networks ◽  
Firm Innovation ◽  
Interfirm Collaboration ◽  
The Impact

scholarly journals Inter-firm inventor mobility and the role of co-inventor networks in producing high-impact innovation

2019 ◽  
Author(s):  
Gergő Tóth ◽  
Balázs Lengyel
Keyword(s):  
Knowledge Transfer ◽  
Small World ◽  
High Impact ◽  
Collaboration Network ◽  
Collaboration Networks ◽  
Firm Innovation ◽  
Network Characteristics ◽  
Inventor Networks ◽  
The Impact

Abstract Inter-firm mobility of inventors is a major source of embodied knowledge transfer and receiving firms enjoy additional benefits from the collaboration networks of mobile inventors. However, there is still limited understanding on how the firm can maximize the impact of incoming inventors and what structure of co-inventor networks is the most beneficial for that. To answer this question, we construct a weighted and time-decayed co-inventor network from all IT-related patents in the harmonized OECD PATSTAT 1977–2010 database and analyze events of inter-firm inventor mobility. We look at the future impact of firm innovation and isolate the effect of mobile inventors’ network characteristics from the characteristics of the collaboration network in the receiving firm. Our results imply that high-impact innovations are produced if the firm hires broker inventors who have diverse networks and thus has the potential to channel a wide pool of knowledge into the firm. We find evidence that cohesive networks within the firm, measured by small world characteristics, exaggerate the effect of incoming brokers and high-impact inventors.

Scientific collaboration networks and firm innovation: the contingent impact of a dynamic environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jing Yang ◽  
Jing Zhang ◽  
Deming Zeng
Keyword(s):  
Scientific Collaboration ◽  
Negative Binomial ◽  
Dynamic Environment ◽  
Collaboration Network ◽  
High Tech ◽  
Market Dynamics ◽  
Collaboration Networks ◽  
Firm Innovation ◽  
Content Type ◽  
The Impact

PurposeThe environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.Design/methodology/approachUsing a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.FindingsA broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.Practical implicationsFirms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.Originality/valueThis study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.

Predictive Control and Simulation for Variable-Pitch Wind Turbines

2012 ◽  
Vol 562-564 ◽  
pp. 1012-1015
Author(s):  
S.X. Wang ◽  
Z.X. Li ◽  
D.X. Sun ◽  
X.X. Xie
Keyword(s):  
Neural Network ◽  
Predictive Control ◽  
Small World ◽  
Modeling Method ◽  
Reference Trajectory ◽  
System Delay ◽  
Variable Pitch ◽  
Electricity Grid ◽  
System Output ◽  
The Impact

In order to avoid the limitations of traditional mechanism modeling method, a neural network (NN) model of variable - pitch wind turbine is built by the NN modeling method based on field data. Then considering that from wind turbine’s startup to grid integration, the generator speed must be controlled to rise to the synchronous speed smoothly and precisely, a neural network model predictive control (NNMPC) strategy based on the small-world optimization algorithm (SWOA) is proposed. Simulation results show that the strategy can forecast the change of generator rotational speed based on the wind speed disturbance, making the controller act ahead to eliminate the impact of system delay. Furthermore, the system output can track the reference trajectory well, making sure that the system can connect the electricity grid steadily.

She-E-Os and innovation: do female CEOs influence firm innovation?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hafiz Mustansar Javaid ◽  
Qurat Ul Ain ◽  
Antonio Renzi
Keyword(s):  
Financial Constraints ◽  
Ordinary Least Squares ◽  
State Ownership ◽  
Corporate Environment ◽  
Firm Innovation ◽  
Content Type ◽  
Innovation Activities ◽  
Female Ceos ◽  
Innovation Output ◽  
The Impact

PurposeThis paper empirically investigates whether female CEOs (She-E-Os) have an effect on firm innovation among Chinese listed firms based on patent data. This study also delved further by looking at whether the internal corporate environment moderates the effect of female CEOs on innovation, that is, state ownership. Finally, this study investigates an additional test of financial constraints to examine whether financial constraints also moderate the impact of female CEOs on firm innovation.Design/methodology/approachThis study used the data of all A-share listed companies on the Shanghai and Shenzhen stock exchanges for the period from 2008 to 2017. The authors use ordinary least squares regression as a baseline methodology, along with firm-fixed effect, lagged measure of female CEOs, alternative measures of innovation, Heckman two-step model and negative binomial regression to check and control the possible issue of endogeneity.FindingsThe authors’ findings show that CEO gender plays an important role in producing higher levels of innovation output by improving the governance structure. However, female CEOs have no effect on state-owned enterprises' (SOEs) innovation activities, which suggests that the main goal of SOEs is achieving sociopolitical objectives. Furthermore, female CEOs' influence on innovation output is weaker in firms with financial constraints.Social implicationsThis study adds to the emerging global discussion on gender diversity. Many legislative bodies require a quota for women on corporate boards due to gender inequality. This study's findings reinforce such guidelines by emphasizing the economic benefits of including women in top management positions.Originality/valueThis study provides new insights by highlighting the role of female CEOs in increasing firms' innovation activities. Additionally, this study provides evidence on whether the internal corporate environment (state ownership and financial constraints) moderates female CEOs' effect on innovation.

The Impact of International Collaboration on UK University—Industry Links

1995 ◽  
Vol 9 (5) ◽  
pp. 264-276 ◽  
Author(s):  
Andy Pike ◽  
David Charles
Keyword(s):  
International Collaboration ◽  
Collaborative Research ◽  
Collaboration Networks ◽  
Industry Research ◽  
Research Programmes ◽  
The Uk ◽  
The Impact ◽  
University Industry ◽  
International Collaborative Research ◽  
University Industry Linkages

The authors examine the impact of international collaborative research programmes on university—industry links in the UK, with particular reference to the relations involved in the European Union's Framework Programme research. The evidence presented in the paper suggests that international collaboration has generated benefits as well as significant costs for UK university—industry linkages. More importantly, it is argued that the alleged general convergence in university and industry research needs has been somewhat illusory in the UK due to the rationalization of its R&D activity. In addition, these tendencies have been supported to a degree by EU funding rules, the internationalization of UK universities and the ‘repeat’ nature of international collaboration networks. In conclusion, the authors suggest that many of the problems may be specific to the UK and that policies are needed to strengthen links between UK universities and industry within such collaborative projects.

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