scholarly journals Understanding governance in the implementation of rainwater systems in the Amazon – Belem

2020 ◽  
Vol 31 (1) ◽  
pp. 54-74
Author(s):  
Pedro Pablo Cardoso Castro ◽  
Nirvia Ravena ◽  
Ronaldo Mendes
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Process Planning ◽  
Design Methodology ◽  
Decision Making Process ◽  
Content Type ◽  
Key Players

Purpose The purpose of this paper is to develop a case study of niche governance to analyze the governance of rainwater systems in the Amazon. Design/methodology/approach A visualization of the interactions of stakeholders was made with the use of social network analysis, where data were collected through interviews to experts from the region. A framework based on niche management and the safe, resilient and sustainable (Safe and SuRe) principles were used to interpret the results. Findings The work identifies key players and issues influencing governance for the implementation of rainwater systems; and capture of decision-making powers by agents making evident redundancies in the management of rainwater in the region; highlighting issues of lack of inclusion in the decision-making process, planning and implementation; threatening the sustainability, resilience and governance of rainwater systems in Belem. Originality/value Methodologically, this work is the first of its kind for the amazon and contributes to the exploration of tools and frameworks to assess governance in the implementation of rainwater systems.

Ties that Bother - Ties that Matter

2017 ◽  
Vol 133 (1) ◽  
pp. 29-45
Author(s):  
Renáta Hosnedlová
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Structural Characteristics ◽  
Third Parties ◽  
Decision Making Process

The aim of this article is to show that it is necessary to consider the negative, latent and lost ties, and those with the quality “zero” when studying the formation, change and reaffirmation of residential intentions and decisions. We use the case of Ukrainian immigrants residing in Spain, where we focus on the negative ties and the effects of relational strain among third parties, applying the approach of qualitative social network analysis. We pinpoint the compositional and structural characteristics of negative ties that are significant concerning decision-making process and constructing collecting data tools.

Taking librarians off the desk: one library changes its reference desk staffing model

2015 ◽  
Vol 16 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Timothy Peters
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Statistical Data ◽  
Decision Making Process ◽  
Service Model ◽  
Content Type ◽  
Staffing Model ◽  
Central Michigan University ◽  
Reference Service

Purpose – This paper is a case study of the decision at Central Michigan University to take librarians off the reference desk. Departmental data on reference desk traffic and other ancillary functions of the reference department was used to make the case for removing the librarians from the desk. Data collected since the decision was made has supported the decision to move to an on-call reference desk staffing model. The paper aims to discuss these issues. Design/methodology/approach – The department reviewed and analyzed data on reference desk transactions of all types from previous years to inform its decision making. Data trends and an analysis of the nature of the questions asked at the reference desk were instrumental in the analysis. Findings – The department determined that the statistical data justified the removal of the librarians from the reference desk. Data collected since moving to the on-call model supports the earlier decision. Originality/value – This paper provides libraries considering their own desk staffing models with a discussion of another library’s decision-making process and evidence of a successful migration to a new reference service model.

Filling structural holes? Guanxi-based facilitation of knowledge sharing within a destination network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiayuan Liu ◽  
Jianzhou Yan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Design Methodology ◽  
Network Structures ◽  
Structured Interviews ◽  
Tourist Destination ◽  
Structural Holes ◽  
Content Type

PurposeThis study examines the relationships between structural holes, guanxi and knowledge sharing among groups of stakeholders within a Chinese destination network.Design/methodology/approachThis study conducted surveys, social network analysis and semi-structured interviews to gather data from the stakeholders of a popular Chinese tourist destination to test its hypotheses.FindingsKnowledge sharing within the destination network was impeded by structural holes but facilitated by guanxi. Furthermore, the impeding effect of structural holes on knowledge sharing is alleviated by guanxi.Originality/valueThis study illustrates the ways that stakeholders exploit structural holes and guanxi to promote knowledge sharing, and thus offers novel insights into how destination network structures affect the efficacy of stakeholders when it comes to sharing knowledge and promoting their destination.

scholarly journals Polarisation in political Twitter conversations

2014 ◽  
Vol 66 (3) ◽  
pp. 329-341 ◽  
Author(s):  
David Gunnarsson Lorentzen
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Design Methodology ◽  
Right Wing ◽  
Content Type ◽  
The Social ◽  
Left Block ◽  
The Right

Purpose – The purpose of this paper is to describe and analyse relationships and communication between Twitter actors in Swedish political conversations. More specifically, the paper aims to identify the most prominent actors, among these actors identify the sub-groups of actors with similar political affiliations, and describe and analyse the relationships and communication between these sub-groups. Design/methodology/approach – Data were collected during four weeks in September 2012, using Twitter API. The material included 77,436 tweets from 10,294 Twitter actors containing the hashtag #svpol. In total, 916 prominent actors were identified and categorised according to the main political blocks, using information from their profiles. Social network analysis was utilised to map the relationships and the communication between these actors. Findings – There was a marked dominance of the three main political blocks among the 916 most prominent actors: left block, centre-right block, and right-wing block. The results from the social network analysis suggest that while polarisation exists in both followership and re-tweet networks, actors follow and re-tweet actors from other groups. The mention network did not show any signs of polarisation. The blocks differed from each other with the right-wingers being tighter and far more active, but also more distant from the others in the followership network. Originality/value – While a few papers have studied political polarisation on Twitter, this is the first to study the phenomenon using followership data, mention data, and re-tweet data.

scholarly journals Decision-Making Process Of Corporate-Farming Innovation In Bantul Regency

Agro Ekonomi ◽  
2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Alia Bihrajihant Raya ◽  
Siti Fatonah ◽  
Ratih Ineke Wati ◽  
Sri Peni Wastutiningsih
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Team ◽  
Decision Making Process ◽  
Decision Stage ◽  
Organic Cultivation ◽  
Farmer Groups ◽  
Corporate Farming

Corporate farming is an agricultural innovation to answer narrow land tenure problems due to widespread land conversion and land fragmentation. The principle of corporate farming is land consolidation with one joint management. This research attempts to determine the decision-making process for corporate farming innovation in Bantul Regency, using an exploratory approach with the Social Network Analysis (SNA) method and ego-centered network analysis. The ego in this study is the innovator and chairman of the corporate farming team. The results of the study were presented in a sociogram using Pajek software. The actors involved in the corporate farming innovation decision-making process are the head of farmer groups, administrators, team leaders, member farmers, Bantul Regency Agricultural Service, local extension agents, and stakeholders including the Research Team of the UGM Faculty of Agriculture, Bank Indonesia Regional DIY, and BPTP DIY. The introduction stage was carried out in a farmer group meeting, and the UGM Faculty of Agriculture Research Team acts as the innovator. It is followed by the persuasion stage, which explains the benefits of implementing corporate farming during subsequent farmer group meetings. The decision stage is indicated by providing direction, assistance, and financial support, which relied on group agreement to commit corporate farming. The farmer groups’ heads dominated the persuasion stage, the decision stage, and the implementation stage. The differences between corporate farming and individual farming lie in some aspects, such as working together rather than individual work, semi-organic cultivation systems, and optimizing the use of agricultural machinery. At the confirmation stage, 62% of informants disagree to continue corporate farming due to significant drops in production yields. The change in the cultivation system from chemical to semi-organic is one reason for the decline in production.Keywords: corporate farming, ego-centered network, decision-making process, social network analysis

scholarly journals Social network analysis and festival cities: an exploration of concepts, literature and methods

2014 ◽  
Vol 5 (3) ◽  
pp. 311-322 ◽  
Author(s):  
David Jarman ◽  
Eleni Theodoraki ◽  
Hazel Hall ◽  
Jane Ali-Knight
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Design Methodology ◽  
Dynamic Environments ◽  
Diverse Range ◽  
Content Type ◽  
Secondary Material ◽  
Tourism Studies ◽  
History Of

Purpose – Social network analysis (SNA) is an under-utilised framework for research into festivals and events. The purpose of this paper is to reflect on the history of SNA and explore its key concepts, in order that they might be applied to festivals and their environments. Design/methodology/approach – Secondary material underpins the paper, primarily SNA literature, tourism studies research and festival industry publications. Findings – Festival cities offer dynamic environments in which to investigate the workings of social networks. The importance of such networks has long been recognised within the industry, yet there is scant reflection of this in the event studies literature. Uses of SNA in tourism studies publications offer some precedents. Originality/value – This paper emphasises the importance of relationships between people in a festival economy, complementing and building upon stakeholder analyses. A research method is proposed, suitable for application across a diverse range of festivals and events.

Using Social Network Analysis to Support Collective Decision-Making Process

2013 ◽  
pp. 87-103 ◽  
Author(s):  
Simon Buckingham Shum ◽  
Lorella Cannavacciuolo ◽  
Anna De Liddo ◽  
Luca Iandoli ◽  
Ivana Quinto
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Collective Decision ◽  
Knowledge Organization ◽  
Decision Making Process ◽  
Collective Decision Making ◽  
Collaborative Decision Making ◽  
Collaborative Decision

Current traditional technologies, while enabling effective knowledge sharing and accumulation, seem to be less supportive of knowledge organization, use and consensus formation, as well as of collaborative decision making process. To address these limitations and thus to better foster collective decision-making around complex and controversial problems, a new family of tools is emerging able to support more structured knowledge representations known as collaborative argument mapping tools. This paper argues that online collaborative argumentation has the rather unique feature of combining knowledge organization with social mapping and that such a combination can provide interesting insights on the social processes activated within a collaborative decision making initiative. In particular, the authors investigate how Social Network Analysis can be used for the analysis of the collective argumentation process to study the structural properties of the concepts and social networks emerging from users’ interaction. Using Cohere, an online platform designed to support collaborative argumentation, some empirical findings obtained from two use cases are presented.

Performance of Shari’ah-compliant and non-Shari’ah-compliant listed firms: a case study of Malaysia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Irum Saba ◽  
Mohamed Ariff ◽  
Eskandar Shah Mohd Rasid
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Islamic Finance ◽  
Decision Making Process ◽  
Content Type ◽  
Listed Firms ◽  
Finance Industry ◽  
The Impact ◽  
Statistical Results

Purpose Shari’ah provides the basic tenets of the Islamic finance industry and advocates banks to share their profits and losses with investors. But what it means for a firm to be “Shari’ah-compliant” and what form of connections it can have, even in theory, to either the firm’s value or profitability is still an untapped question. This study tries to answer this question. This study aims to find the impact of Shari’ah compliance on firm performance. The results obtained would be useful in helping investors, regulators, companies, government, academicians and practitioners in their decision-making process as to ensure better economic and business gains, both locally and globally. Design/methodology/approach Panel data on 634 Shari’ah-compliant firms have been used in this study for the period of 2000–2014. Findings The results indicate that Shari’ah compliance adds to the value of firms as firms perform transactions according to Shari’ah while avoiding non-permissible activities. Originality/value This study adds value to the existing literature by showing the statistical results for the impact of Shari’ah compliance on the performance of the listed firms on Bursa Malaysia.

Using Social Network Analysis to Support Collective Decision-Making Process

2011 ◽  
Vol 3 (2) ◽  
pp. 15-31 ◽  
Author(s):  
Simon Buckingham Shum ◽  
Lorella Cannavacciuolo ◽  
Anna De Liddo ◽  
Luca Iandoli ◽  
Ivana Quinto
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Collective Decision ◽  
Knowledge Organization ◽  
Decision Making Process ◽  
Collective Decision Making ◽  
Collaborative Decision Making ◽  
Collaborative Decision

Current traditional technologies, while enabling effective knowledge sharing and accumulation, seem to be less supportive of knowledge organization, use and consensus formation, as well as of collaborative decision making process. To address these limitations and thus to better foster collective decision-making around complex and controversial problems, a new family of tools is emerging able to support more structured knowledge representations known as collaborative argument mapping tools. This paper argues that online collaborative argumentation has the rather unique feature of combining knowledge organization with social mapping and that such a combination can provide interesting insights on the social processes activated within a collaborative decision making initiative. In particular, the authors investigate how Social Network Analysis can be used for the analysis of the collective argumentation process to study the structural properties of the concepts and social networks emerging from users’ interaction. Using Cohere, an online platform designed to support collaborative argumentation, some empirical findings obtained from two use cases are presented.

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