Stakeholder analysis and social network analysis to evaluate the stakeholders of a MSWM system – A pilot study of Maputo City

2017 ◽  
Vol 24 ◽  
pp. 124-135 ◽  
Author(s):  
Leticia Sarmento dos Muchangos ◽  
Akihiro Tokai ◽  
Atsuko Hanashima
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Pilot Study ◽  
Network Analysis ◽  
Stakeholder Analysis ◽  
System A ◽  
Maputo City

scholarly journals Stakeholder Analysis and Social Network Analysis in the Decision-Making of Industrial Land Redevelopment in China: The Case of Shanghai

2020 ◽  
Vol 17 (24) ◽  
pp. 9206
Author(s):  
Wendong Wu ◽  
Fang He ◽  
Taozhi Zhuang ◽  
Yuan Yi
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Space ◽  
Large Scale ◽  
Social Issues ◽  
Stakeholder Analysis ◽  
Industrial Land ◽  
Land Redevelopment

Currently, many large Chinese cities have entered the postindustrial era, leaving a large amount of vacant, inefficiently utilized industrial land and buildings in the inner cities. Industrial land redevelopment (ILR) can benefit cities in multiple ways, such as by increasing urban public space, improving the quality of life of citizens, and improving the environment, and is considered an effective approach to enhance people’s wellbeing. However, large-scale ILR projects often raise a series of social issues in practice, such as injustice and inequality. To address complex urban issues, ILR requires multifaceted, coordinated, and comprehensive strategies involving multitudinous stakeholders. A profound understanding of diverse stakeholders in the decision-making of ILR is a vital step in enhancing the sustainability of ILR. The aim of this paper is to use Shanghai as a case study to understand the diverse stakeholders and their participation during the decision-making of ILR in China. Interviews and questionnaires were used to collect data. Stakeholder analysis (SA) and social network analysis (SNA) were used as complementary research methodologies in this paper. First, stakeholders who participated in the decision-making of ILR were identified. Then, the characteristics of various stakeholders, including power, interests, and knowledge, were analyzed. Following this, the interactive relationships among stakeholders were explored, and their network structure was examined. Finally, policy recommendations were presented regarding stakeholder participation problems in the decision-making of ILR in China.

Protecting Privacy by Secure Computation

2012 ◽  
pp. 268-284
Author(s):  
Florian Kerschbaum ◽  
Daniel Funke
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Relationship Management ◽  
Secure Computation ◽  
Customer Relationship ◽  
System A ◽  
Input And Output ◽  
Social Network Structure ◽  
New Information

We consider collaborative social network analysis without revealing private inputs of the participants. This problem arises in criminal investigations of federal police organization where single organizations may not reveal their data without probable cause, but the aggregation of all data entails new information, such as the entire social network structure. We present algorithms for securely computing either the entire, anonymized graph or only specific metrics for individuals. We use secure computation protocols to disclose nothing, but the output of the analysis, i.e. anything that cannot be derived from one’s input and output – including other parties’ input – remains private. We have implemented a prototype for SAP’s investigative case management system – a derivate of its customer relationship management.

scholarly journals The Information Flow of the Sistema Nacional de Transplantes (National Transplant System): A Social Network Analysis - DOI: 10.3395/reciis.v6i2.572en

RECIIS ◽  
2012 ◽  
Vol 6 (2) ◽  
Author(s):  
André Luiz Dias de França ◽  
Isaac Newton Cesarino da Nóbrega Alves ◽  
Guilherme Ataíde Dias
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Flow ◽  
System A

scholarly journals Implementing Participatory Processes in Forestry Training Using Social Network Analysis Techniques

Forests ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 463 ◽  
Author(s):  
Simone Blanc ◽  
Federico Lingua ◽  
Livio Bioglio ◽  
Ruggero Pensa ◽  
Filippo Brun ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Stakeholder Analysis ◽  
Raw Material ◽  
Strong Interactions ◽  
Analysis Techniques ◽  
Forestry Sector ◽  
Decision Making Processes ◽  
Complex Relationships

Public participation has become an important driver in increasing public acceptance of policy decisions, especially in the forestry sector, where conflicting interests among the actors are frequent. Stakeholder Analysis, complemented by Social Network Analysis techniques, was used to support the participatory process and to understand the complex relationships and the strong interactions among actors. This study identifies the forestry training sector stakeholders in the Western Italian Alps and describes their characteristics and priorities, in relation to training activities on entrepreneurial topics for forestry loggers. The hierarchy among actors has been identified, highlighting their respective roles and influence in decision-making processes. A lack of mutual communication among different and well-separated categories of actors has been identified, while good connections between stakeholders, operating in different territories, despite the presence of administrative and logistical barriers, have been observed. Training is a topic involving actors with different roles and interests. Nevertheless, all actors consider training about how to improve yields of forest operations and how to assess investments, particularly in innovative machinery, to be crucially important and conducive to a better comprehension of the wood supply chain and the enhancement of the raw material.

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