Analysis on the theory and practice of industrial symbiosis based on bibliometrics and social network analysis

2019 ◽  
Vol 213 ◽  
pp. 956-967 ◽  
Author(s):  
Maoxing Huang ◽  
Zhenzhen Wang ◽  
Ting Chen
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Theory And Practice ◽  
Industrial Symbiosis

scholarly journals Combining Stakeholder- and Social Network- Analysis to Improve Regional Nature Conservation: A Case Study from Osnabrück, Germany

2021 ◽  
Author(s):  
Felix Przesdzink ◽  
Laura Mae Herzog ◽  
Florian Fiebelkorn
Keyword(s):  
Nature Conservation ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Exchange ◽  
Theory And Practice ◽  
Knowledge Mapping ◽  
Land User ◽  
User Groups ◽  
Conservation Projects

AbstractMany nature conservation projects fail primarily not because of a lack of knowledge about upcoming threats or viable conservation concepts but rather because of the inability to transfer knowledge into the creation of effective measures. Therefore, an increase in information exchange and collaboration between theory- and practice-oriented conservation actors, as well as between conservation actors, land user groups, and authorities may enhance the effectiveness of conservation goals. By considering the interactions between conservation stakeholders as social networks, social network analysis (SNA) can help identify structural optimization potential in these networks. The present study combines SNA and stakeholder analysis (SA) to assess the interactions between 34 conservation stakeholders in the major city and district of Osnabrück in northwestern Germany and offers insights into cost/benefit optimizations of these stakeholder interactions. Data were acquired using a pile sort technique and guideline-based expert interviews. The SA, based on knowledge mapping and SWOT (strength, weaknesses, opportunities, and threats) analysis, identified individual stakeholder’s complementary properties, indicating which among them would most benefit from mutual information exchange and collaboration. The SNA revealed discrepancies in information exchange and collaboration between theory- and practice-focused stakeholders. Conflicts were found predominantly between conservation associations, authorities and land user groups. Ecological research, funding, land-use conflicts, and distribution of conservation knowledge were identified as fields with high potential for increased information exchange and collaboration. Interviews also showed that the stakeholders themselves see many opportunities for increased networking in the region. The results are discussed in relation to the existing literature on nature conservation networks and used to recommend optimization measures for the studied network. Finally, the conclusion reflects upon the developed approach’s implications and possibilities for conservation stakeholders and planners in general.

Regional industrial symbiosis: A review based on social network analysis

2021 ◽  
Vol 280 ◽  
pp. 124054
Author(s):  
Reza Vahidzadeh ◽  
Giorgio Bertanza ◽  
Silvia Sbaffoni ◽  
Mentore Vaccari
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Industrial Symbiosis

scholarly journals The principles of diversity and geographical proximity in an industrial ecosystem: social network analysis in the Toluca- Lerma region

2017 ◽  
Vol 12 (24) ◽  
Author(s):  
Manuel Alexis Vázquez Zacarías ◽  
Eduardo Enrique Aguiñaga Maldonado ◽  
Elías Alvarado Lagunas
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Industrial Ecology ◽  
Developed Countries ◽  
Ecosystem Functions ◽  
Industrial Symbiosis ◽  
Geographical Proximity ◽  
Redes Sociales ◽  
Industrial Ecosystem

Abstract. Industrial ecology allows the traditional model of industrial activity, where individual manufacturing process that takes raw materials in order to generate products, to be transformed into a more comprehensive model of a regional economy named industrial ecosystem. This ecosystem functions through industrial symbiosis alliances formed by firms that cooperate through the exchange of residues in order to use them as inputs to transform them into valuable products. Moreover, the principles of geographical proximity and diversity of the firms have been found in successful ecosystems in developed countries. This study contributes empirically by using social network analysis (SNA) methods to explore, the presence of these two principles in an industrial ecosystem in the Toluca-Lerma region in Mexico, consisting of 30 firms that have industrial symbiosis alliances. We conclude that in the context of developing countries, the symbiotic exchanges may not be fully explained with the principles of geographical proximity and diversity.Key words: industrial ecosystems, industrial symbiosis, residues, social network analysis, wastesResumen. La ecología industrial permite que el modelo tradicional de actividad industrial, donde procesos individuales de manufactura utilizan materias primas con el fin de generar productos, se transforme en un modelo más completo de una economía regional llamado ecosistema industrial. Este ecosistema funciona a través de alianzas de simbiosis industrial, donde las empresas cooperan mediante el intercambio de sus residuos con el fin de utilizarlos como insumos para transformarlos en productos valiosos. Por otra parte, los principios de proximidad geográfica y diversidad de las empresas, propios de los ecosistemas industriales, se han encontrado en los ecosistemas de éxito en los países desarrollados. El presente estudio contribuye empíricamente, mediante el uso de análisis de redes sociales (SNA) para explorar la presencia de estos dos principios en un ecosistema industrial conformado por 30 empresas con alianzas de simbiosis industrial en la región de Toluca-Lerma en México. Llegamos a la conclusión de que en el contexto de los países en desarrollo, los intercambios simbióticos pueden no ser completamente explicados con los principios de proximidad geográfica y diversidad.Palabras clave: análisis de redes sociales, basuras, ecología industrial, residuos, simbiosis industrial

scholarly journals Mapping of a science and technology policy network based on social network analysis

2021 ◽  
Vol 17 (3) ◽  
pp. 115-147
Author(s):  
Esmaeel Kalantari ◽  
◽  
Gholamali Montazer ◽  
Sepehr Ghazinoory ◽  
◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Technology Policy ◽  
Science And Technology ◽  
Theory And Practice ◽  
Science And Technology Policy ◽  
Policy Network ◽  
Policy Documents ◽  
The Social

PURPOSE: The main purpose of this paper is to define a science and technology policy network in the form of a social network, from the perspective of policy documents, and then analyze it using the social networks analysis (SNA) method. METHODOLOGY: As a case study, the science and technology policymaking network in Iran is analyzed using the suggested framework in this research. The data used in this study were collected through the content analysis of 25 policy documents and an interview with 20 Iranian science and technology policy elites, before being interpreted using the social network analysis method and software such as NetDraw and UCINet. FINDINGS: The most pivotal science and technology policymaking institutions in Iran and the interactions between them were determined from the network viewpoint. This was achieved by performing a two-dimensional core-periphery analysis, identifying the cut points and blocks, and measuring the structural power of each institution using the degree centrality, closeness centrality, and betweenness centrality methods. IMPLICATIONS FOR THEORY AND PRACTICE: The most important practical implications of this research are: the integration of a number of policymaking institutions, the division of clear and precise work between policy institutions, the design of vertical and horizontal coordination mechanisms between institutions, the elimination of interferences of some institutions in the tasks of the others, the design of complementary mechanisms to control the role of cutting points, and paying attention to the important activities in the margins of the network. ORIGINALITY AND VALUE: The most important contribution of this research is to develop a framework for studying science and technology policy and then to develop a method for studying science and technology policy based on SNA. Therefore, the framework for studying science and technology policy in a cycle consists of three stages: 1- Agenda setting and prioritization (at two levels of mega policies and meta policies); 2- Design and implementation or executive policies (in three parts: demand-side policies, supply-side policies, and networking and interconnection infrastructure policies); 3- evaluation and policy learning.

Sign in / Sign up

Export Citation Format

Share Document