The Role of the Partner Brand's Social Media Power in Brand Alliances

2018 ◽  
Vol 82 (3) ◽  
pp. 25-44 ◽  
Author(s):  
Ann-Kristin Kupfer ◽  
Nora Pähler vor der Holte ◽  
Raoul V. Kübler ◽  
Thorsten Hennig-Thurau
Keyword(s):  
Social Media ◽  
Data Set ◽  
Brand Alliance ◽  
The Social ◽  
Composite Product ◽  
Product Sales ◽  
Media Power ◽  
Media Data ◽  
Social Media Network

Managers frequently seek strategies to profit systematically from social media to increase product sales. By forming a brand alliance, they can acquire an installed social media base from a partner brand in an attempt to boost the sales of their composite products. Drawing from power theory, this article develops a conceptual model of the influence of the social media power of partner brands on brand alliance success. The proposed framework details the partner brand's social media power potential (size and activity of the social media network), social media power exertion (different posting behaviors and comments), and their interaction. The authors test this framework with an extensive data set from the film industry, in which films function as composite products and actors represent partner brands. The data set features 442 movies, including 1,318 actor–movie combinations and weekly social media data (including 41,547 coded Facebook posts). The authors apply a linear mixed-effects model, in which they account for endogeneity concerns. The partner brand's social media power potential, power exertion, and their interaction can all lead to higher composite product sales. By coding different types of product-related posts, this article provides estimates of their varying monetary value.

scholarly journals Using Social Media in Tourist Sentiment Analysis: A Case Study of Andalusia during the Covid-19 Pandemic

2021 ◽  
Vol 13 (7) ◽  
pp. 3836
Author(s):  
David Flores-Ruiz ◽  
Adolfo Elizondo-Salto ◽  
María de la O. Barroso-González
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Cost Savings ◽  
Mass Scale ◽  
Tourism Sector ◽  
The Social ◽  
Analytical Tools ◽  
Media Data

This paper explores the role of social media in tourist sentiment analysis. To do this, it describes previous studies that have carried out tourist sentiment analysis using social media data, before analyzing changes in tourists’ sentiments and behaviors during the COVID-19 pandemic. In the case study, which focuses on Andalusia, the changes experienced by the tourism sector in the southern Spanish region as a result of the COVID-19 pandemic are assessed using the Andalusian Tourism Situation Survey (ECTA). This information is then compared with data obtained from a sentiment analysis based on the social network Twitter. On the basis of this comparative analysis, the paper concludes that it is possible to identify and classify tourists’ perceptions using sentiment analysis on a mass scale with the help of statistical software (RStudio and Knime). The sentiment analysis using Twitter data correlates with and is supplemented by information from the ECTA survey, with both analyses showing that tourists placed greater value on safety and preferred to travel individually to nearby, less crowded destinations since the pandemic began. Of the two analytical tools, sentiment analysis can be carried out on social media on a continuous basis and offers cost savings.

Identifying customer knowledge on social media through data analytics

2019 ◽  
Vol 32 (1) ◽  
pp. 152-169 ◽  
Author(s):  
Wu He ◽  
Weidong Zhang ◽  
Xin Tian ◽  
Ran Tao ◽  
Vasudeva Akula
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Social Media Analytics ◽  
Data Set ◽  
Social Media Data ◽  
Customer Knowledge ◽  
Content Type ◽  
Customer Knowledge Management ◽  
The Social ◽  
Media Data

Purpose Customer knowledge from social media can become an important organizational asset. The purpose of this paper is to identify useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers from social media data and facilitate social media-based customer knowledge management. Design/methodology/approach The authors conducted a case study to analyze people’s online discussion on Twitter regarding laptop brands and manufacturers. After collecting relevant tweets using Twitter search APIs, the authors applied statistical analysis, text mining and sentiment analysis techniques to analyze the social media data set and visualize relevant insights and patterns in order to identify customer knowledge. Findings The paper identifies useful insights and knowledge from customers and knowledge about customers from social media data. Furthermore, the paper shows how the authors can use knowledge from customers and knowledge about customers to help companies develop knowledge for customers. Originality/value This is an original social media analytics study that discusses how to transform large-scale social media data into useful customer knowledge including knowledge for customer, knowledge about customers and knowledge from customers.

scholarly journals Peran Media Sosial Terhadap Jual Beli Online Skincare Ditinjau Dari Hukum Islam Di Toko Ms Glow Nganjuk

2021 ◽  
Vol 8 (1) ◽  
pp. 88-101
Author(s):  
Agus Thohawi ◽  
Subekan Subekan ◽  
Titi Nur Fatimah
Keyword(s):  
Social Media ◽  
Islamic Law ◽  
Data Display ◽  
Online Sales ◽  
Media System ◽  
Analysis Technique ◽  
The Social ◽  
Product Sales ◽  
Online Buying

This study aims to obtain clarity on the role of social media in online sales in terms of Islamic law. Thus, social media must be able to provide a clear and directed picture. The focus of this research is What is the role of social media in buying and selling Ms Glow's skincare online? How do social media factors influence the buying and selling of MS Glow skincare online in Nganjuk district? And also How is the Islamic law review of buying and selling MS Glow skincare online on social media? The method in this research uses a qualitative approach by collecting data through observation, interviews and documentation. The data analysis technique is through data reduction, data unitization and categorization, data display (data display), and conclusion drawing. The results in this study are the role of social media in buying and selling online at Ms. Glow Nganjuk's shop is buying and selling using the social media system or with resellers / dropshipping. This online buying and selling transaction can be carried out using a contract, namely ba'i as-Salam. Social media factors can increase product sales, minimize costs used for promotion, interact with consumers and expand market networks. A review of Islamic law on buying and selling of Ms Glow's skincare online on social media at Ms Glow Nganjuk's shop has fulfilled the principles and conditions of buying and selling in Islamic law.

scholarly journals Analisis Strategi Pemasaran Simpanan dan Pembiayaan di KJKS Manfaat Surabaya

2020 ◽  
Vol 20 (1) ◽  
pp. 207-230
Author(s):  
Zainul Muhaimin Achmad
Keyword(s):  
Social Media ◽  
Marketing Strategy ◽  
Business Continuity ◽  
New Paradigm ◽  
Direct Sales ◽  
The Social ◽  
Marketing Activities ◽  
A Company ◽  
Social Media Network

Become a new paradigm for achieving marketing success that is by establishing and maintaining relationships with consumers on an ongoing basis, which is called the marketing strategy. Likewise with KJKS Benefits of Surabaya. Finally the conclusion of this paper is, that: first the role of marketing KJKS Benefits of Surabaya in an effort to introduce savings and financing products to consumers is very important and also become one of the success of a company to earn profits, for the development of its products, for the continuity of its business, and for business continuity, KJKS Benefits of conducting marketing activities in the form of Advertising, Marketing, Publicity, Individual Sales, and Direct Sales. Second, the marketing strategy carried out by KJKS Benefit Surabaya in an effort to introduce and market savings and financing products is to establish cooperation with members who work with KJKS Benefit Surabaya, through print media, advertisements, exhibitions and through general trends that are currently considered to be very easy and practical in conveying information about a product by marketers both Cooperatives and other business companies, namely through the Social Media network.

Hacking in to the social media network of bacteria: The antiquorum sensing properties of herbs and spices

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381 ◽  
Author(s):  
S Cosa ◽  
AM Viljoen ◽  
SK Chaudhary ◽  
W Chen
Keyword(s):  
Social Media ◽  
Sensing Properties ◽  
The Social ◽  
Social Media Network ◽  
Herbs And Spices

New Democracy in Digital Era through Social Media and News Online

Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Abitassha Az Zahra ◽  
Eko Priyo Purnomo ◽  
Aulia Nur Kasiwi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Communication Networks ◽  
Social Communication ◽  
Development Policy ◽  
Online News ◽  
Digital Era ◽  
The Social ◽  
New Democracy

The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.

Mining Social Media Data to Study the Consequences of Dementia Diagnosis on Caregivers and Relatives (Preprint)

2018 ◽  
Author(s):  
Anika Oellrich ◽  
George Gkotsis ◽  
Richard James Butler Dobson ◽  
Tim JP Hubbard ◽  
Rina Dutta
Keyword(s):  
Social Media ◽  
Family Relationships ◽  
Text Processing ◽  
Automated Analysis ◽  
Health Concern ◽  
Dementia Diagnosis ◽  
Data Set ◽  
Social Media Data ◽  
Real Time Processing ◽  
Media Data

BACKGROUND Dementia is a growing public health concern with approximately 50 million people affected worldwide in 2017 and this number is expected to reach more than 131 million by 2050. The toll on caregivers and relatives cannot be underestimated as dementia changes family relationships, leaves people socially isolated, and affects the finances of all those involved. OBJECTIVE The aim of this study was to explore using automated analysis (i) the age and gender of people who post to the social media forum Reddit about dementia diagnoses, (ii) the affected person and their diagnosis, (iii) relevant subreddits authors are posting to, (iv) the types of messages posted and (v) the content of these posts. METHODS We analysed Reddit posts concerning dementia diagnoses. We used a previously developed text analysis pipeline to determine attributes of the posts as well as their authors to characterise online communications about dementia diagnoses. The posts were also examined by manual curation for the diagnosis provided and the person affected. Furthermore, we investigated the communities these people engage in and assessed the contents of the posts with an automated topic gathering technique. RESULTS Our results indicate that the majority of posters in our data set are women, and it is mostly close relatives such as parents and grandparents that are mentioned. Both the communities frequented and topics gathered reflect not only the sufferer's diagnosis but also potential outcomes, e.g. hardships experienced by the caregiver. The trends observed from this dataset are consistent with findings based on qualitative review, validating the robustness of social media automated text processing. CONCLUSIONS This work demonstrates the value of social media data sources as a resource for in-depth studies of those affected by a dementia diagnosis and the potential to develop novel support systems based on their real time processing in line with the increasing digitalisation of medical care.

A market-based rationale for the privacy paradox

2021 ◽  
pp. 016344372110158
Author(s):  
Opeyemi Akanbi
Keyword(s):  
Social Media ◽  
Market Structures ◽  
Media Companies ◽  
The Social ◽  
Social Media Platforms ◽  
Privacy Paradox ◽  
The Individual ◽  
Privacy Risks ◽  
Social Collective

Moving beyond the current focus on the individual as the unit of analysis in the privacy paradox, this article examines the misalignment between privacy attitudes and online behaviors at the level of society as a collective. I draw on Facebook’s market performance to show how despite concerns about privacy, market structures drive user, advertiser and investor behaviors to continue to reward corporate owners of social media platforms. In this market-oriented analysis, I introduce the metaphor of elasticity to capture the responsiveness of demand for social media to the data (price) charged by social media companies. Overall, this article positions social media as inelastic, relative to privacy costs; highlights the role of the social collective in the privacy crises; and ultimately underscores the need for structural interventions in addressing privacy risks.

scholarly journals Embed2Detect: temporally clustered embedded words for event detection in social media

2021 ◽  
Author(s):  
Hansi Hettiarachchi ◽  
Mariam Adedoyin-Olowe ◽  
Jagdev Bhogal ◽  
Mohamed Medhat Gaber
Keyword(s):  
Social Media ◽  
Event Detection ◽  
High Volume ◽  
Detection Methods ◽  
Word Embeddings ◽  
Agglomerative Clustering ◽  
Data Set ◽  
Social Media Data ◽  
Social Media Platforms ◽  
Media Data

AbstractSocial media is becoming a primary medium to discuss what is happening around the world. Therefore, the data generated by social media platforms contain rich information which describes the ongoing events. Further, the timeliness associated with these data is capable of facilitating immediate insights. However, considering the dynamic nature and high volume of data production in social media data streams, it is impractical to filter the events manually and therefore, automated event detection mechanisms are invaluable to the community. Apart from a few notable exceptions, most previous research on automated event detection have focused only on statistical and syntactical features in data and lacked the involvement of underlying semantics which are important for effective information retrieval from text since they represent the connections between words and their meanings. In this paper, we propose a novel method termed Embed2Detect for event detection in social media by combining the characteristics in word embeddings and hierarchical agglomerative clustering. The adoption of word embeddings gives Embed2Detect the capability to incorporate powerful semantical features into event detection and overcome a major limitation inherent in previous approaches. We experimented our method on two recent real social media data sets which represent the sports and political domain and also compared the results to several state-of-the-art methods. The obtained results show that Embed2Detect is capable of effective and efficient event detection and it outperforms the recent event detection methods. For the sports data set, Embed2Detect achieved 27% higher F-measure than the best-performed baseline and for the political data set, it was an increase of 29%.

Communication in social networks of St. Petersburg as a means of adaptation of ethnocultural communities

Litera ◽  
2021 ◽  
pp. 38-55
Author(s):  
Rivaa Mukhammad Salem Alsalibi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Ethnic Communities ◽  
Sense Of Security ◽  
The Social ◽  
The Subject ◽  
Development Prospects

The subject of this research is the specifics, forms and functions of interaction in social media groups between the representatives of ethnic communities. The goal consists in determination of the role of social networks in adaptation of ethnocultural communities of St. Petersburg. The research is based on the polling technique for acquisition of information on the cognitive, emotional, and behavioral state of a person. The survey was conducted via distribution of questionnaires among the representatives of ethnic groups. The article also employs the method of systematic scientific observation over the social media groups, topic raised therein, as well as reading and analysis of the comments. The scientific novelty of this work consists in outlining of the nature, trends and development prospects of cross-cultural communications as the channel for ethnocultural interaction.  The main conclusions, which touch upon users from various ethnic communities who do not have enough experience in organization of activity of social media groups, demonstrate that it causes the loss of the sense of security, accumulation of prejudices and escalation of interethnic conflicts, as well as preference of the with restricted access, which contributes to lock down of the group and impedes adaptation in the accepting society. Stabilization of situation can be achieved by improvement of the quality of content posted in the social media, as well as level of their administration.

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