scholarly journals THE EFFECTIVENESS IN THE USE OF INSTAGRAM IN THE PROMOTION OF B2B COMPANIES

2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Aleksey A. Nikitin ◽  
Tatyana I. Nikitina ◽  
Irina M. Kravchenko
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Participant Observation ◽  
Marketing Research ◽  
Quantitative Content ◽  
The Social ◽  
Statistical Studies ◽  
Marketing Tool ◽  
Promotion Process ◽  
Business To Business

This paper contains data from statistical studies of foreign agencies on the use of social networks in promoting companies of the B2B segment (Business to business) and their effectiveness. The emphasis was placed on the social network Instagram, as it is one of the fastest-growing platforms for marketing and it has fundamental differences from other social networks. As the main methods for conducting the study, non-participant observation, monitoring of articles and results of marketing research, a comparative analysis of Instagram accounts of B2B companies and quantitative content analysis were used. It is assumed that the chosen methodology most adequately reflects the real specifics of the promotion process in the segment selected for the study. In the process of studying articles of promotion specialists on social networks, the goals of promoting B2B companies, their target audience, the main types of content and other features of maintaining an account for using the Instagram platform as an effective marketing tool were identified and described. As a result of the analysis of statistical data obtained within the framework of various large studies and successful cases on the natural promotion of Instagram accounts of world B2B companies, conclusions were drawn about the effectiveness of using the social network Instagram for the B2B segment

Social Network: A New Perspective on Independence and Illiterate Adults

1983 ◽  
Vol 33 (3) ◽  
pp. 133-146 ◽  
Author(s):  
Arlene Fingeret
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Participant Observation ◽  
Urban Setting ◽  
Social Structures ◽  
Literacy Programs ◽  
Interdependent Networks ◽  
The Social ◽  
New Perspective ◽  
Illiterate Adults

This study explores the social structures illiterate adults create, and their relationship to notions of dependence and independence. In-depth unstructured interviews and participant-observation were used with 43 adults in a medium-sized northeastern urban setting. Analysis shows that illiterate adults create social networks that include readers and are characterized by mutuality. Illiterate adults contribute a range of skills to their networks and see themselves as interdependent. Networks are related to the extent to which illiterate adults are involved in the larger society; this ranges from extensive, for cosmopolitans, to minimal for local adults. Dependent adults have networks that are characterized by asymmetrical relationships. Literacy programs must learn to respond to adults-in-networks.

Evaluation of Social Network Sites

2013 ◽  
Vol 3 (4) ◽  
pp. 28-42
Author(s):  
Francisco J. Miranda ◽  
Antonio Chamorro ◽  
Sergio Rubio
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Delphi Study ◽  
Active Form ◽  
Three Dimensions ◽  
Assessment Index ◽  
General Terms ◽  
The Social ◽  
Important Challenge ◽  
Marketing Tool

Social networks are one of the more notable sociological phenomena of the last years. Moreover, its apparition and acceptance by majority of the citizens also suppose an important challenge for the firms. Social networks are a new and relevant channel of communication and interaction with their consumers. For this, firms have to create his own place in the social network and manage of active form the content that shares and the dialogue that is supported by their followers. In the first part of this paper we explain the creation of an index to evaluate the presence of the companies in the social network more used to international level, Facebook. The Facebook Assessment Index (FAI) is formed by several indicators grouped in three dimensions: popularity, interactivity and content. The weights for each category were obtained as recommended by a Delphi study conducted with 10 independent experts (community managers and internet marketing experts). In the second part, we applied this index to the 150 largest firms according to Fortune 2011 ranking. At present, only 44% of these firms tested had an international official Facebook page. The results showed that the larger firms are those that in general terms best manage their presence on Facebook, have the greatest number of followers and a higher degree of interactivity with them. However, the most interesting contribution of this work lies not in identifying firms that achieve higher scores on the FAI, but in comparing the pages with each other and making suggestions of ideas and practices that may improve a firm's Facebook presence as a marketing tool.

scholarly journals Jaringan Sosial Petani dalam Distribusi Hasil Produksi Garam di Gampong Tanoh Anoe Kecamatan Jangka Kabupaten Bireuen

2021 ◽  
Vol 2 (1) ◽  
pp. 46
Author(s):  
Nailul Rahmi ◽  
Amiruddin Ketaren
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Data Analysis ◽  
Data Collection ◽  
Qualitative Methods ◽  
Participant Observation ◽  
Direct Experience ◽  
Research Results ◽  
Observation Methods ◽  
The Social

This research was conducted to see how the social network of salt farmers in distributing salt production and their efforts to maintain the existing social networks between salt farmers and distributors. The theory is based on Barry Wellman's theory of interconnecting social networks between actors. Data collection uses non-participant observation methods, namely researchers directly observe how the informants behave and gain direct experience, making it easier for researchers to perform data analysis. The analysis uses descriptive qualitative methods, namely with the aim of providing an overview of social problems through data in the form of descriptions of words or pictures. From the research results, it can be concluded that there are two forms of salt farmer network, namely the network with salt muge and the network with UD Milhy Jaya. As for the efforts to maintain the social network of salt farmers, namely by trust, increasing productivity, improving quality, and determining prices.AbstrakPenelitian ini dilakukan dengan tujuan agar dapat melihat bagaimana jaringan sosial petani garam dalam mendistribusikan hasil produksi garam dan upaya mempertahankan jaringan sosial yang sudah ada antara petani garam dengan distributornya. Teori yang menjadi landasan penelitian ini adalah teori Barry Wellman tentang jaringan sosial yang saling menghubungkan antar aktor. Pengumpulan data memakai metode observasi non-partisipan yaitu peneliti mengamati langsung bagaimana perilaku dari informan dan memperoleh pengalaman langsung sehingga memudahkan peneliti dalam melakukan analisis data. Analisis menggunakan metode kualitatif deskriptif yaitu dengan tujuan memberikan sebuah gambaran tentang masalah sosial melalui data berbentuk uraian kata-kata ataupun gambar. Dari hasil penelitian dapat disimpulkan bahwa bentuk jaringan petani garam ada dua yaitu jaringan dengan muge garam dan jaringan dengan UD Milhy Jaya. Adapun upaya mempertahankan jaringan sosial petani garam yaitu dengan kepercayaan, meningkatkan produktivitas, meningkatkan kualitas, dan penentuan harga.

Facebook as a Marketing Tool

2014 ◽  
Vol 6 (4) ◽  
pp. 14-28 ◽  
Author(s):  
Antonio Chamorro-Mera ◽  
F. Javier Miranda ◽  
Sergio Rubio
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Three Dimensions ◽  
Assessment Index ◽  
General Terms ◽  
The Social ◽  
Interesting Contribution ◽  
Important Challenge ◽  
Marketing Tool ◽  
High Degree

Social networks are one of the more notable sociological phenomena of the last years. Moreover, its apparition and acceptance by majority of the citizens also suppose an important challenge for the firms. Social networks are a new and relevant channel of communication and interaction with their consumers. For this, firms have to create their own place in the social network and actively manage the content that shares and the dialogue that is supported by their followers. In the first part of this paper, the authors explain the creation of an index to evaluate the presence of the companies in the social network more used to international level, Facebook. The Facebook Assessment Index (FAI) is formed by several indicators grouped in three dimensions: popularity, interactivity, and content. In the second part, the authors applied this index to the 150 largest firms according to Fortune 2011 ranking. At present, only 44% of these firms tested had an international official Facebook page. The results showed that the larger firms are those that in general terms best manage their presence on Facebook, have the greatest number of followers and a high degree of interactivity with them. However, the most interesting contribution of this work lies not in identifying firms that achieve higher scores on the FAI, but in comparing the pages with each other and making suggestions of ideas and practices that may improve a firm's Facebook presence as a marketing tool.

Intention to participate in online commercial experiments by social network’s users

2016 ◽  
Vol 39 (4) ◽  
pp. 378-398 ◽  
Author(s):  
Rebeca Cordero-Gutiérrez ◽  
Libia Santos-Requejo
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Point Of View ◽  
Data Sets ◽  
Content Type ◽  
Gender And Age ◽  
The Social ◽  
Intention To Participate ◽  
Relevant Variables ◽  
Marketing Tool

Purpose The purpose of this paper is to analyze the underlying differences in the intention to participate in online commercial experiments through the social network considering users’ gender and age. Design/methodology/approach The model of this paper uses two relevant variables, trust and attitude, to test the behavioral intention. There were 269 data sets from social network’s users. Factorial analysis and linear regression were used in the analysis of the data obtained to investigate the differences in gender and age in the intention to participate in online commercial experiments. Findings The results of this paper show that there exist differences among women and men, and among youthers and adults. Women and youthers are the most desirable groups to conduct commercial experiments through social networks. Research limitations/implications From the point of view of the academics, this paper increases the knowledge of social network’s possibilities as a marketing tool. Practical implications This study and its conclusions are relevant for entrepreneurs in any field who want to reach their customers through a horizontal social network because they can improve the online experiments’ profit. Entrepreneurs can know and understand their customers better, taking into account their wishes, tastes and interests through when participating in a commercial experiment. Originality/value This paper describes the possibilities that social networks like Facebook offer entrepreneurs to know the intention of users to participate in an online commercial experiment. Moreover, the differences in gender and age allow in adapting the contents of the online commercial experiments to get better results. In addition, this research contributes to the investigation in the possibilities of social networks as marketing tools.

scholarly journals Twitter and Viral Trends

2018 ◽  
Author(s):  
Daniel Arom
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Extracurricular Activities ◽  
Western World ◽  
Visual Elements ◽  
The Social ◽  
Message Service ◽  
Marketing Tool ◽  
Twitter Users ◽  
Visually Based

Ever since the introduction of social networks in the early 2000s information and communication of ideas have drastically changed in their framing and mediums and also the delivery method between the sender and intended and unintended receivers. Social networks have many distinctive characteristics that demarcate them from SMS (Short Message Service), VOIP (Voice Over Internet Protocol) and the ordinary voice phone call.Early social networks prior to Facebook, Twitter, Instagram and Linkedin included MySpace and Xanga. MySpace which was founded in 2003 was early adaptor to the fundamental concepts we know today like networking, personal framing online and sharing that undermine every social interaction offline and online. Xanga pioneered the highly customizable profile which gave users the option to customize practically any element on their page by accessing the HTML (Hyper Text Markup Language) code of the visual elements they could modify to their own liking and personality, this however required a lot of programming skills and was a set back for the social network’s aim of customizability.In our current state and time in the western world in academic, work and extracurricular activities nearly all of the members interacting are on one social network, if not all that are mentioned. Facebook serves as a social marketing tool for some of its users that frame their lives in a pseudo-happy frame and some let out their problems and grasp Facebook as a personal journal without the confidentiality of a paperback journal. Instagram is visually based social network that aims to extrovert one’s creative skills of being a smartphone photographer. Instagram includes tools that help your photography skills and even provide a toolbox of premade filters set to provide digitally taken photographs with an old-school visual of film photography. Linkedin lets business workers, owners, seekers and entrepreneurs connect to one another in a highly formal manner, something that isn’t found in Facebook, Twitter or Instagram.This research takes the social network Twitter as its content matter due to its significant uniqueness of not being a visually based social network that is prevalent today. Twitter has been known for its straight message transmissions from the sender to the receiver. On Twitter everyone can interact with everyone from celebrities and politicians to farmers and students. This research aims to answer the concept of correlations and trends between Twitter users and their social network scope. Being branded as the “social network for smarter people”, Twitter is relevant to the intellectual property that composes the electronic knowledge base. Twitter is a witty and smart social network; users have 140 characters or less to compose their message.In the below section we present the aimed research questions and likely outcomes of the research known as the hypotheses. Afterwards the methodology used to collect the examined data is presented and our results post-data collection. The conclusion of the paper provides a discussion, conclusion and limitations of the aforementioned study.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

Comparing the social networks of service users with long term mental health needs living in community with those in a general adult in-patient unit

2021 ◽  
pp. 002076402110175
Author(s):  
Roberto Rusca ◽  
Ike-Foster Onwuchekwa ◽  
Catherine Kinane ◽  
Douglas MacInnes
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Patient Group ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Practical Support ◽  
The Social

Background: Relationships are vital to recovery however, there is uncertainty whether users have different types of social networks in different mental health settings and how these networks may impact on users’ wellbeing. Aims: To compare the social networks of people with long-term mental illness in the community with those of people in a general adult in-patient unit. Method: A sample of general adult in-patients with enduring mental health problems, aged between 18 and 65, was compared with a similar sample attending a general adult psychiatric clinic. A cross-sectional survey collected demographic data and information about participants’ social networks. Participants also completed the Short Warwick Edinburgh Mental Well-Being Scale to examine well-being and the Significant Others Scale to explore their social network support. Results: The study recruited 53 participants (25 living in the community and 28 current in-patients) with 339 named as important members of their social networks. Both groups recorded low numbers in their social networks though the community sample had a significantly greater number of social contacts (7.4 vs. 5.4), more monthly contacts with members of their network and significantly higher levels of social media use. The in-patient group reported greater levels of emotional and practical support from their network. Conclusions: People with serious and enduring mental health problems living in the community had a significantly greater number of people in their social network than those who were in-patients while the in-patient group reported greater levels of emotional and practical support from their network. Recommendations for future work have been made.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

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