Social network structures among the livestock farmers vis a vis calcium supplement technology

Vishnu, Sreeram; Gupta, Jancy; Sasidharan, Subash

doi:10.1016/j.inpa.2018.07.006

Cited by 19 publications

(10 citation statements)

References 49 publications

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“…Therefore, the result indicates that if men perceive themselves as more social-oriented, the agripreneurial resilience decreases. This finding is contrary to Vishnu et al (2018) who indicated that smallholder agripreneurs rely on their social connection to provide them with reliable and trusted information. The finding is also not consistent with Batjargal et al (2019) who found that social network contributes to growth of male-owned enterprises.…”

Section: Gendered Impact Of Agripreneurial Orientations On Agripreneucontrasting

confidence: 90%

“…Gender difference has been a center point of discussion by many researchers in relation to entrepreneurship (Vishnu et al, 2018). Gender has been viewed different from sex in the sense that it refers to beliefs about what traits are appropriate for male or female which distinguish them from one another.…”

Section: Gender and Entrepreneurshipmentioning

confidence: 99%

“…Traditional thinking (stereotype effect) implies that men are always more successful than women (Zeffane, 2015). Women entrepreneurs were found to perform poorly than men in their small sized businesses (Vishnu et al, 2018), it happens especially in rural agribusiness sector due to difficulties they face in access to resources, and business assetsinfluencebehaviours, as well as gendered specific behaviors which influences their decision power and control as a result men, end up having higher performance (Quaye et al, 2015). However, there is an emerging trend from developed countries suggesting that female entrepreneurs tend to outperform their male counterparts especially due to women empowerment (Nasrolahi & Reza, 2014).…”

Section: Gender and Entrepreneurshipmentioning

confidence: 99%

See 2 more Smart Citations

Gender effect of entrepreneurial orientation on dairy farming career resilience in Kenya

Okello

Yıldız

2020

Cogent Food & Agriculture

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Section: Gendered Impact Of Agripreneurial Orientations On Agripreneucontrasting

confidence: 90%

Section: Gender and Entrepreneurshipmentioning

confidence: 99%

Section: Gender and Entrepreneurshipmentioning

confidence: 99%

See 1 more Smart Citation

Gender effect of entrepreneurial orientation on dairy farming career resilience in Kenya

Okello

Yıldız

2020

Cogent Food & Agriculture

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“…This has given the network self-management capabilities to access knowledge and information on the market and on the operation of commercial networks, which implies that these companies collectively shape their knowledge through informal exchanges of knowledge and experiences, and provides evidence of a network nurtured by bonds of cooperation and trust. In spite of this, the study on how knowledge and innovation networks are produced in the dairy and cheese agroindustry is a pending issue to be investigated, since there are few studies, and these are focused on primary production [79][80][81][82][83][84].…”

Section: The Family and Friendship Network: Trust Reciprocity And Himentioning

confidence: 99%

The Social Fabric of Cheese Agroindustry: Cooperation and Competition Aspects

et al. 2019

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The aim of this study was to analyze the relational social structure of the cheese factories based on an agribusiness territory of Mexico through social network analysis (SNA) in order to understand how different types of agroindustries coexist and endure. Participant observation and semi-structured interviews were carried out in 17 cheese agribusinesses located in the area of San José de Gracia, Michoacán (Mexico), in order to get insight into the family, inter-company, commercial and technical ties they have built. The SNA showed that in the community there is a meso-system where different cheese companies that produce either natural, imitation or both cheeses converge and coexist. These agroindustries make up a complex social structure composed of 1717 actors, comprising a dispersed network with low connectivity (density ˂0.5%) due to the commercial nature of the relationships (95.9%). Simultaneously, an underlying network with a higher density (1.73%) was also evident, enriched by kinship and friendship ties that create cooperation and trust among the parties through 136 reciprocal tangible and intangible exchanges. Despite the differences and asymmetries of cheese agribusinesses in this community, the social structure they form behaves like a ‘local neighborhood’ where everyone knows everyone, and everyone coexists, competes and shares with one another, allowing them to be sustainable in the marketplace. This study provides important lessons for institutions that promote competitiveness and local development, because it shows that in order to achieve sustainability of agroindustrial companies, it is important to recognize and promote long-term social structures based on trust, friendship and reciprocity.

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“…In another study, Sreeram Vishnu et al [7] conducted a study on the delineate and analyze social network configuration of farmers with respect for the acquisition of information on vital livestock technology. By using 3 stages, and interviewing 320 people that involved the participant's locale.…”

Section: Introductionmentioning

confidence: 99%

The Social Engagement to Agricultural Issues using Social Network Analysis

Widiyanti

Adji

Hidayah

2021

IJID

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Twitter is one of the micro-blogging social media which emphasizes the speed of communication. In the 4.0 era, the government also promotes the distribution of information through social media to reach the community from various lines. In previous research, Social Network Analysis was used to see the relationship between actors in a work environment, or as a basis for identifying the application of technology adoption in decision making, whereas no one has used SNA to see trends in people's response to agricultural information. This study aims to see the extent to which information about agriculture reaches the community, as well as to see the community's response to take part in agricultural development. This article also shows the actors who took part in disseminating information. Data was taken on November 13 to 20, 2020 from the Drone Emprit Academic, and was taken limited to 3000 nodes. Then, the measurements of the SNA are represented on the values of Degree Centrality, Betweenness Centrality, Closeness Centrality, and Eigenvector Centrality. @AdrianiLaksmi has the highest value in Eigenvector Centrality and Degree Centrality, he has the greatest role in disseminating information and has many followers among other accounts that spread the same information. While the @RamliRizal account ranks the highest in Betweenness Centrality, who has the most frequently referred information, and the highest Closeness Centrality is owned by the @baigmac account because of the fastest to re-tweet the first information.

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Social network structures among the livestock farmers vis a vis calcium supplement technology

Cited by 19 publications

References 49 publications

Gender effect of entrepreneurial orientation on dairy farming career resilience in Kenya

Gender effect of entrepreneurial orientation on dairy farming career resilience in Kenya

The Social Fabric of Cheese Agroindustry: Cooperation and Competition Aspects

The Social Engagement to Agricultural Issues using Social Network Analysis

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