scholarly journals Governance for Sustainability: Patterns of Regulation and Self-Regulation in the German Wine Industry

2021 ◽  
Vol 13 (6) ◽  
pp. 3140
Author(s):  
Katharina Spraul ◽  
Annegret Höfert
Keyword(s):  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Crucial Role ◽  
Self Regulation ◽  
Wine Industry ◽  
Structured Interviews ◽  
Complex Interplay ◽  
Sustainable Practices

To foster sustainability pursuits, regulation by state-imposed legislation is often crucial, but self-regulation by corporations, associations, and other non-state actors increasingly exerts pressures and provides incentives for sustainable practices. In order to shed more light on the complex interplay among sustainability regulations and self-regulation, this study focused on a highly regulated field: the German wine industry. Using a social network analysis, this study identified the most central actors (e.g., associations, regulatory institutions) that need to be addressed in order to ensure the enforcement of sustainability. By analyzing 15 semi-structured interviews with the key actors, we outlined their understanding of sustainability, and classified three distinctive governance patterns. These mixed methods and in-depth analyses revealed that self-regulation by associations plays a crucial role in terms of enhancing sustainability, but regulation remains an important trigger in this context. This article concludes with some lessons for regulation and self-regulation policies that can ensure sustainability within an organizational field.

scholarly journals Social Networks and Supply Chain Management in Fish Trade

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093181
Author(s):  
Carmen Pedroza-Gutiérrez ◽  
Juan M. Hernández
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Real Life ◽  
Primary Data ◽  
Structured Interviews ◽  
Knowledge Based ◽  
The Relationship

This study aims to construct a theoretical framework to analyze the elements of the network structure and the relationship system within the seafood supply chain. The scope of the investigation is to evaluate how these elements influence the flow of products and the efficiency of the seafood supply chain and why these social interactions can create value and enhance competitive advantage. The model combines the resource- and knowledge-based view and the social network analysis applied to seafood supply chains. To demonstrate the application of the model, two theoretical examples and a real case study of the Mercado del Mar in Guadalajara, Mexico, are used. Primary data are obtained from semi-structured interviews, social network analysis metrics, and qualitative analysis. Findings are based on the analysis of theoretical examples and must be considered with caution. Nevertheless, the observations in the examples and case study provide new arguments to the relationship between the pattern of interrelationship and the efficiency of a supply chain. This study emphasizes the necessity of combining quantitative and qualitative analyses to understand and explain real-life supply networks.

scholarly journals Using Network Models to Analyze Old Chinese Rhyme Data (用網絡模型來分析古代漢語的韻母數據)

2016 ◽  
Vol 9 (2) ◽  
pp. 218-241 ◽  
Author(s):  
Johann-Mattis List (游函)
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Strong Evidence ◽  
Crucial Role ◽  
Quantitative Methods ◽  
Network Models ◽  
Online Application ◽  
Historical Phonology ◽  
Old Chinese

The evidence one can draw from the rhyming behavior of Old Chinese words plays a crucial role for the reconstruction of Old Chinese, and is particularly relevant to recent proposals. Some of these proposals are no longer solely based on the intuition of scholars but also substantiated by statistical arguments that help to assess the probability by which a given set of rhyming instances can be assigned to an established rhyme group. So far, however, quantitative methods were only used to confirm given hypotheses regarding rhyme groups in Old Chinese, and no exploratory analyses that would create hypotheses regarding rhyme groups in a corpus were carried out. This paper presents a new method that models rhyme data as weighted undirected networks. By representing rhyme words as nodes in a network and the frequency of rhymes in a given corpus as links between nodes, rhyme groups can be inferred with help of standard algorithms originally designed for social network analysis. This is illustrated through the construction of a rhyme network from the Book of Odes and comparing the automatically inferred rhyme groups with rhyme groups proposed in the literature. Apart from revealing interesting general properties of rhyme networks in Chinese historical phonology, the analysis provides strong evidence for a coda *-r in Old Chinese. The results of the analysis and the rhyme network of the Book of Odes can be inspected in form of an interactive online application or directly downloaded. 古代漢語的詞語所反映的韻為對上古音系的構擬，特別是對於最近的一些上古漢語構擬系統，異常重要。其中有一些構擬系統不再僅僅靠於學者的直覺，而且還用統計參數證實來評估分韻和派韻的概率。然而，迄今為止，定量方法僅用於確認關於上古韻部的假設，並且沒有進行探索性數據分析來創建初步分韻假設。本文提出了一種將韻母數據模型為加權無向網絡的新方法。此方法將韻母模型為網絡中的頂點，將某個語料庫的合韻率模型為聯頂點的邊緣，用社會網絡分析的標準算法來推斷語料庫所反映的韻母。為了更具體的說明此方法，本文用“詩經”來構建韻母網絡，而且比較自動與學者所推斷的上古韻部。除了揭示古代漢語韻網的一些有趣特點，“詩經”韻網分析了支持上古漢語韻尾* -r的新證據。“詩經”韻網和韻網分析的結果可以用交際在線應用來訪問而下載。(This article is in English.)

scholarly journals Linking Quantitative and Qualitative Network Approaches: A Review of Mixed Methods Social Network Analysis in Education Research

2020 ◽  
Vol 44 (1) ◽  
pp. 244-268 ◽  
Author(s):  
Dominik E. Froehlich ◽  
Sara Van Waes ◽  
Hannah Schäfer
Keyword(s):  
Education Research ◽  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Mixed Methods Research ◽  
Qualitative Approaches ◽  
Research Questions ◽  
Network Approaches

Social network analysis (SNA) is becoming a prevalent method in education research and practice. But criticism has been voiced against the heavy reliance on quantification within SNA. Recent work suggests combining quantitative and qualitative approaches in SNA—mixed methods social network analysis (MMSNA)—as a remedy. MMSNA is helpful for addressing research questions related to the formal or structural side of relationships and networks, but it also attends to more qualitative questions such as the meaning of interactions or the variability of social relationships. In this chapter, we describe how researchers have applied and presented MMSNA in publications from the perspective of general mixed methods research. Based on a systematic review, we summarize the different applications within the field of education and learning research, point to potential shortcomings of the methods and its presentation, and develop an agenda to support researchers in conducting future MMSNA research.

Spatial Proximity and its Importance for Cooperation in a Tourist Region - Complementary Use of Social Network Analysis and Agglomeration Theory

2019 ◽  
Vol 53 ◽  
pp. 4-4
Author(s):  
Katarzyna Czernek-Marszałek ◽  
Justyna Majewska
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Spatial Arrangement ◽  
Economic Benefits ◽  
Spatial Proximity ◽  
Multidimensional Data ◽  
Structured Interviews ◽  
Logistic Regression Method ◽  
Tourist Region

Purpose. Evaluation of the importance of spatial proximity for undertaking business cooperation in a tourist region. Method. Agglomeration economy analysis was combined with the network approach (i.e. Social Network Analysis). The method of case study was used – cooperation between various entities (actors) in five tourist municipalities united in the “Beskid Five” agreement. Semi-structured interviews were conducted with 225 entities selected in purposeful sampling. Additionally, using the appropriate software, based on postal address and data on GPS coordinates of the location of the interviewed entities, were obtained. To analyse the data, some parameters of network analysis were used (i.e. the degree centrality – i.e. in-out and out-degree) and multidimensional data analysis. In particular, the logistic regression method was used, i.e. binary logic regressions were carried out in order to determine the significance of spatial proximity for undertaking cooperation and its intensity in a tourist region. In addition, Moran Ii local statistics were determined in order to measure the occurrence and direction of spatial autocorrelation (spatial correlation coefficient within Local Indicators of Spatial Associations, LISA). Visualisation techniques were also implemented in the work. Findings. In the research, it has been shown that spatial proximity is an important factor affecting cooperation in a tourist region, because it increases the likelihood of cooperation, although this relationship is not linear. Research and conclusion limitations. The study did not cover all entities from the region, but only the so-called key actors in a network. The region selected for research is so specific that the obtained results cannot be considered as representative for other regions in Poland or in the world. In addition, cooperation was analysed without division into various forms, which may also have influence on the obtained results. Practical implications. Entrepreneurs wishing to gain economic benefits regarding cooperation should consider the location and spatial arrangement of connections between potential partners of this cooperation, taking its various forms into account. In addition, by stimulating cooperation between entrepreneurs, local authorities should look at their (municipality office) location in the tourist region and the resulting spatial and functional structure of links between entities, which may determine the scope, intensity and level of effectiveness of the cooperation undertaken. Originality. To show the importance of geographic proximity with reference to intensity of cooperation in a tourist region, analysis of the agglomeration economies and social networks was combined for the first time. Type of paper. An article presenting the results of empirical research.

scholarly journals #DigPed Narratives in Education: Critical Perspectives on Power and Pedagogy

2018 ◽  
Vol 22 (3) ◽  
Author(s):  
Suzan Koseoglu ◽  
Aras BOZKURT
Keyword(s):  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Critical Pedagogy ◽  
Thematic Analysis ◽  
Mixed Methods Study ◽  
Knowledge Gap ◽  
Critical Perspective ◽  
Educational Discourse

This mixed methods study addresses a knowledge gap in the nature and effects of networked scholarship. We analyze #DigPed, a Twitter hashtag on critical pedagogy, through the lens of Tufekci’s Capacities and Signals framework in order to understand (1) how educational narratives develop and spread on #DigPed, and (2) the nature of their capacities. Using Social Network Analysis and thematic analysis of content, we identify three prominent narratives in the network and discuss the network structures from a critical perspective. Based on the findings, we propose pedagogic capacity—the power to initiate a productive and potentially transformative educational discourse, within one’s self and within communities—as an additional lens to explore the spread and impact of critical narratives in education. Findings confirm the view that networked spaces are organized by hidden hierarchies marked by influence.

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