Obesity, Executive Function, and Achievement: An Application of Social Network Theory

2015 ◽  
Author(s):  
Pin Zhu ◽  
Xin Xin ◽  
Mei Chang
10.29007/gvnz ◽  
2018 ◽  
Author(s):  
Armando Di Nardo ◽  
Michele Di Natale ◽  
Anna Di Mauro ◽  
Eva Martínez Díaz ◽  
Jose Antonio Blázquez Garcia ◽  
...  

The recent development and applications of social network theory in many fields of engineering (electricity, gas, transport, water, etc.) allows both the understanding of networks and to improve their management. Social network theory coupled to the availability of real time data and big data analysis techniques can change drastically the traditional approaches to manage civil networks. Recently, some authors are working to apply this novel approach, based on social network theory, on the water distribution networks using: a) graph partitioning algorithms to define optimal district meter areas both for water losses identification and for water network protection, b) innovative topological, energy and hydraulic indices to analyze performance; and c) GIS (Geographical Information System) to provide a more effective display of results and to improve network behavior in specific operational conditions. In this paper, a novel release 3.5 of SWANP software, that implements all these features, was tested on a real large water network in Alcalá de Henares, Spain.


2017 ◽  
Vol 117 (8) ◽  
pp. 1550-1566 ◽  
Author(s):  
Xiaoyan Wang ◽  
Haijun Bao

Purpose The purpose of this paper is to focus on the operation strategy of high-performance alliance portfolios by analyzing the effect of alliance portfolios on the performance of focal firms, using post-structuralism of social network theory and contingency theory. In detail, this paper refines alliance portfolios into three dimensions, and studies the moderating role of context on the relation between alliance portfolios and firm performance. Design/methodology/approach The empirical study was carried out with second-hand data gathered from Internal Revenue Service. In total, this paper gathered data from 506 focal firms in Zhejiang Province from 2001 to 2010 as the sample to test the hypotheses. Findings Based on the empirical results, the authors find the positive effect of relational dimension (weak alliance portfolios) and partner dimension (the diversity of partners) on performance. The effect of the former will become weaker with the increasing environmental dynamic, while the effect of the latter will become stronger. However, the structural dimension (alliance portfolios size) and relational dimension (new partners) have the negative effect on performance. And the negative effect will become stronger under high environmental dynamic. Moreover, the negative effect of non-local partners on performance becomes stronger when the environmental dynamic is high. Research limitations/implications The paper reveals that with the industry transformation caused by “internet +,” companies have been required go beyond traditional dyadic alliance management perspective. That is to say, individual alliance relationship should be seen as a part of a much broader picture of alliance portfolio. As such, the framework may help companies to manage their alliance portfolios by matching high-performance alliance portfolios to the external environment to produce a synergistic effect (Lea et al., 2006; Tritos et al., 2013; Keith et al., 2014) taking the characteristics of the configuration of alliance portfolios into consideration. Originality/value The paper presents a model that explains the effect of three dimensions of alliance portfolios on the performance of focal firms in different contexts through empirical study. This paper also integrates post-structuralism of social network theory and contingency theory to enable the understanding on the configuration of alliance portfolios.


2016 ◽  
Vol 16 (5) ◽  
pp. 205-216 ◽  
Author(s):  
Sun-Duck Kim ◽  
Tae-Young Seong ◽  
Dong-Min Lee ◽  
Man-Hyung Lee

2018 ◽  
Vol 28 (2) ◽  
pp. 240-257 ◽  
Author(s):  
Jorge Alcaraz ◽  
Elizabeth Salamanca

Purpose The purpose of this study is to identify, based on social network theory, the relationship between the direction of international migration (immigration/emigration) and the international movement of enterprises and their location. Design/methodology/approach A traditional gravity model and the Tobit estimation method are applied to three groups of countries from three different regions: Latin America, North America and the European Union. The study considers a period from 2001 to 2012. Findings The main results suggest that the international migration that goes from the European Union and North America to Latin America is related with the firms’ internationalization and their respective location. Practical implications Given that migration can be an important and reliable source of information, trust and knowledge, managers should see it as a “bridge” between the home and host countries, which, in turn, can increase their competitive advantage. Social implications Governments can learn how migration and outward foreign direct investment interact. In addition, they could develop political frameworks to accurately and effectively manage international migration (immigration and emigration) and FDI in the best interests of the stakeholders. Originality/value This study extends the social network theory by suggesting that networks are not only related with firms’ expansion abroad but as well with their location. This statement could be generalizable as long as emigration/networks (ethnic ties) are considered the links between the home and the host country.


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