scholarly journals Cluster Analysis of Automobile Innovative Users Based on Interactive Innovation Value

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Haowen Lin ◽  
Yaping Chen ◽  
Yushu Yang
Keyword(s):  
Social Media ◽  
Cluster Analysis ◽  
Product Reviews ◽  
Pyramid Model ◽  
User Data ◽  
Social Media Platforms ◽  
User Groups ◽  
Product Creation ◽  
Different Characteristics ◽  
Effective Channel

As a new model of product creation, “interactive innovation” can effectively improve the success rate of enterprise product innovation. Because of the wide application of the Internet and the pervasiveness of social media such as forums and blogs, there is a rapid growth of product reviews online. These social media platforms provide an effective channel for interactive innovation between enterprises and users. This paper is based on the innovation application of automobile products. The purpose of this paper is to identify and classify the innovative users in automobile forums and analyze the characteristics of different user groups. First, we summarize six typical characteristics of innovative users and quantify these six characteristics. Second, we make a cluster analysis of user data and divide innovative users into three classes according to the innovation value. And then, based on the different characteristics of three types of users, we present different interactive innovation methods for three types of users. Finally, we construct a pyramid model of innovative user to show the distribution status of various users.

scholarly journals Characteristics of Gun Advertisements on Social Media: Systematic Search and Content Analysis of Twitter and YouTube Posts (Preprint)

2019 ◽  
Author(s):  
Lisa Jordan ◽  
James Kalin ◽  
Colleen Dabrowski
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Systematic Search ◽  
Health Concern ◽  
Corporate Ownership ◽  
Public Health Concern ◽  
Social Media Platforms ◽  
Streaming Services ◽  
Youtube Videos ◽  
Different Characteristics

BACKGROUND Although gun violence has been identified as a major public health concern, the scope and significance of internet gun advertising is not known. OBJECTIVE This study aimed to quantify the characteristics of gun advertising on social media and to compare the reach of posts by manufacturers with those of influencers. METHODS Using a systematic search, we created a database of recent and popular Twitter and YouTube posts made public by major firearm manufacturers and influencers. From our sample of social media posts, we reviewed the content of the posts on the basis of 19 different characteristics, such as type of gun, presence of women, and military or police references. Our content analysis summarized statistical differences in the information conveyed in posts to compare advertising approaches across social media platforms. RESULTS Sample posts revealed that firearm manufacturers use social media to attract audiences to websites that sell firearms: 14.1% (131/928; ±2.9) of Twitter posts, 53.6% (228/425; ±6.2) of YouTube videos, and 89.5% (214/239; ±5.1) of YouTube influencer videos link to websites that facilitate sales. Advertisements included women in efforts to market handguns and pistols for the purpose of protection: videos with women included protection themes 2.5 times more often than videos without women. Top manufacturers of domestic firearms received 98 million channel views, compared with 6.1 billion channel views received by the top 12 YouTube influencers. CONCLUSIONS Firearm companies use social media as an advertising platform to connect viewers to websites that sell guns. Gun manufacturers appropriate YouTube servers, video streaming services, and the work of YouTube influencers to reach large audiences to promote the widespread sale of consumer firearms. YouTube and Twitter subsidize gun advertising by offering server and streaming services at no cost to gun manufacturers, to the commercial benefit of Google and Twitter’s corporate ownership.

scholarly journals Tourism trend and network analysis utilizing big data on social media

2018 ◽  
Vol 7 (2.12) ◽  
pp. 312
Author(s):  
Jae Woo Choi ◽  
Hye YoungKim
Keyword(s):  
Social Media ◽  
Big Data ◽  
Mutual Interaction ◽  
Tourism Promotion ◽  
Promotional Efforts ◽  
Social Media Platforms ◽  
Twitter Account ◽  
User Groups ◽  
Media Platform ◽  
Promotional Strategies

Background/Objectives: With evolving trends, tourism is also experiencing more diverse policies and methods of promotion. In particular, with the development and increasing popularity of social media platforms, a new trend is setting in. In line with such changes, the current study sets out to utilize big data on social media platforms to analyze trends in tourism, ways in which tourism elements mutually interact, and analyze patterns, in order to propose tourism promotion strategies and provide related basic data.Methods/Statistical analysis: Analysis on social media platforms were conducted to visually express relationship among nodes and analyze the structure and status of link in quantitative terms. NodeXL is an add-in program to Microsoft Excel; it allows the user to directly collect data from social media platforms to execute matrics, statistics, and visualization. The data was collected from Korea Tourism Organization (KTO)’s Twitter and Facebook accounts. Hashtags (#) on 3,200 posts on the Twitter account were analyzed to compute the tourism trend, and the inter-node interactions and links on the Facebook fan pages were analyzed in terms of network density and centrality to calculate the form and characteristics of social media networks.Findings: By analyzing social media pages that represent promotional efforts for Korean tourism, we were able to find the following results: On the KTO Twitter account, the higher hashtag terms were “eating tour,” and “exciting travel,” which follow the recent tourism trends. However, because of platform restrictions, the Twitter account, rather than engaging in mutual interactions with its users, only tended to deliver information, and was unable to reflect more diverse tourism trends. On Facebook, 348 nodes were actively linked 14.99 times on average, indicating a healthy level of activity. Average degrees of connection was 2.214, which is smaller than average connection distance of small societies, indicating efficient mutual interaction. There were three core user groups, with eleven individuals serving as media nodes, and six users with Eigenvector centrality.Improvements/Applications: Tourism promotion must be executed in line with diverse and latest trends in the field. Because Facebook has a higher level of mutual interaction than Twitter, the account holder can maximize the promotional effects by utilizing individuals that serve as the centrality node. That is to say that promotional strategies that take into account the characteristics of individual social media platform are required. 

Typology of social media followers: the case of luxury brands

2018 ◽  
Vol 36 (5) ◽  
pp. 558-571 ◽  
Author(s):  
Zahy Ramadan ◽  
Maya F. Farah ◽  
Armig Dukenjian
Keyword(s):  
Social Media ◽  
Design Methodology ◽  
Qualitative Approach ◽  
Luxury Brands ◽  
Content Type ◽  
Luxury Brand ◽  
Different Types ◽  
Social Media Platforms ◽  
Different Characteristics ◽  
Depth Interviews

Purpose Luxury brands tend to be hesitant in adopting social media. This matter has created an imminent need to understand the different types of online luxury followers so as to help luxury brands communicate effectively with their consumers, while maintaining the “luxe” image and experience. Accordingly, the purpose of this paper is to provide luxury brands with a deeper understanding of their online audience and the strategies needed to engage with them through the different social media platforms. Design/methodology/approach A qualitative approach was utilized in which 24 in-depth interviews were conducted with Lebanese followers of an online luxury brand’s social media pages. Findings The study identifies the presence of six main categories of online luxury followers: pragmatists, bystanders, trend hunters, image seekers, passionate owners, and prime consumers. Each group has a specific engagement and propensity to buy levels. Research limitations/implications Understanding the different segments of luxury brand followers provides a framework for marketing managers that allows them to correctly target their marketing and communication strategies in order to maximize consumer engagement and purchasing behaviors. Originality/value A significant gap exists in the extant literature which offers no understanding of the different luxury brand followers and their different characteristics. This study is the first to offer an exploratory typology of the various luxury brand followers on social media platforms.

Examination of Social Media Platforms in Terms of Privacy Policy

2021 ◽  
Author(s):  
Sema Bulat Demir ◽  
Ayten Övür
Keyword(s):  
Social Media ◽  
Data Privacy ◽  
Personal Data ◽  
Privacy Policy ◽  
Privacy Policies ◽  
Content Analysis Method ◽  
User Data ◽  
Social Media Platforms ◽  
Data Policy ◽  
Google Play

Nowadays, social media platforms are frequently being used on the Internet. When the users create an account for these platforms, they are required to accept the data privacy policy. With the approval of the data policy, major problems may arise such as observing every activity of users on the platform, violations of security and protection of personal data, and sharing user data with third parties for commercial purposes. In this regard, it is significant to examine the privacy policies of social media platforms in detail. In this research, we examined the privacy policies of the five most popular free applications on the communication section of the Google Play Store on January 30th, 2021. The privacy policies of these applications were analyzed with the content analysis method, and the research aims to reveal the area of utilization of the data that the users provide, with or without the permission of the user.

scholarly journals Social media in the accommodation industry: A cluster analysis

2016 ◽  
Vol 14 (1) ◽  
pp. 251-258
Author(s):  
Claudette Rabie
Keyword(s):  
Social Media ◽  
Cluster Analysis ◽  
Major Influence ◽  
Western Cape ◽  
Web Based ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Self Administered Questionnaire

In today’s technologically driven and revolutionised era of digital communication, numerous people combine a complex collection of social media platforms and technology to connect them to the world and people around them. The online participation of consumers has forced companies to embrace social media marketing efforts. The continuous advancements in marketing mediums have a major influence on the success and growth of companies, particularly within the tourism and hospitality industry, as increasingly more travellers are using social media as a means of communicating and seeking information. The purpose of this research study was therefore to explore if users of social media as a promotional mix element could be clustered into different groups based on characteristics they possess. A web-based self-administered questionnaire was distributed to accommodation establishments located in the Western Cape province of South Africa and a total of 361 useable responses were received. A four-step cluster analysis was performed in order to identify similar groups of respondents in their use of social media as a promotional mix element. The findings presented four distinct users of social media in the accommodation industry based on six variables identified from the literature.

scholarly journals STRENGTHENING THE ISLAMIC DIGITAL PAYMENT SYSTEM THROUGH SHARIA ELECTRONIC WALLET (E-WALLET)

El Dinar ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 94-107
Author(s):  
Firsty Izzata Bella ◽  
Nadya Fira Efendi
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Research Methods ◽  
Service Providers ◽  
Qualitative Research Methods ◽  
Islamic Perspective ◽  
Public Figures ◽  
User Data ◽  
Social Media Platforms ◽  
Digital Wallet

The objective of this research is to propose a strategy to strengthen the islamic digital wallet or electronic wallet (e-wallet) in Indonesia to compete with its conventional counterparts. Qualitative research methods with study literature were chosen to explore previous research that had been discussed on e-wallets particularly from the Islamic perspective both at global and national levels through reputable journals, reports, and other supportive documents. The results depicted that the Islamic e-wallet can be optimized through four points, namely promotion, education, collaboration, and trust but remained fulfilling sharia compliance so that the values of Islamic teachings are not vanished. Promotions in the form of cashback can be substituted for points to be converted into donations through the Islamic crowdfunding platform. Education can be improved through social media platforms. The way is by coordinating with Islamic public figures, collaboration with merchants and service providers. Finally increasing trust by safeguarding user data and funds.

Comparing Twitter and Instagram as platforms for party leader communication

First Monday ◽  
2021 ◽  
Author(s):  
Eli Skogerbø ◽  
Anders Olof Larsson
Keyword(s):  
Social Media ◽  
Political Communication ◽  
Political Campaigns ◽  
Party Leader ◽  
Interaction Patterns ◽  
Party Leaders ◽  
Different Types ◽  
Social Media Platforms ◽  
User Groups ◽  
Scholarly Attention

While social media have become key in contemporary political campaigns, different platforms feature differing affordances, allowing for varying functionalities. Even more importantly, different platforms are populated by different user groups. As Twitter has received large amounts of scholarly attention, comparisons of how and why different social media platforms are used for political communication are less abundant. This study looks at the differences between Twitter and Instagram as platforms for top politicians, describing and explaining how they allow for interaction with different types of audiences. The study gauges the interaction patterns emerging from activity undertaken by Norwegian party leaders on Twitter and Instagram during the 2017 Norwegian elections and shows how use of these two platforms differ not only in terms of the volume and structure of the activities — but also with regard to what types of other users the party leaders choose to interact with on the studied platforms and why we see differences between them.

An Empirical Investigation on Social Media Users' Demand for Financial Information Distributed via Social Media Platforms

2018 ◽  
Vol 33 (2) ◽  
pp. 155-175 ◽  
Author(s):  
Robert N. Marley ◽  
Neal M. Snow
Keyword(s):  
Social Media ◽  
Information Content ◽  
Empirical Investigation ◽  
Financial Information ◽  
Social Media Platforms ◽  
User Groups ◽  
Media Communications ◽  
Social Media Presence ◽  
Using Data ◽  
Jel Classifications

ABSTRACT Managers feel significant pressure to establish a social media presence that differentiates their organization from rivals, though few managers feel confident that their organization provides social media users with the information they desire. Thus, while the supply of information provided to social media users by organizations continues to proliferate rapidly, few studies have investigated the information social media users want organizations to provide. This study explores the information desires of two social media user groups: non-professional investors and non-investors. We create and validate a social media information content taxonomy using data from three experiments, finding that the information desires of both groups are relatively similar. Specifically, social media users primarily want organizations to provide them with information that addresses them as customers and non-professional investors desire financial information more than non-investors. Across platforms, Facebook is the platform most closely associated with organizational social media communications. JEL Classifications: M31; M37; M41; G24; D83.

scholarly journals Undergraduates’ Use of Social Media as Information Sources

2014 ◽  
Vol 75 (4) ◽  
pp. 442-457 ◽  
Author(s):  
Kyung-Sun Kim ◽  
Sei-Ching Joanna Sin ◽  
Eun Young Yoo-Lee
Keyword(s):  
Social Media ◽  
Undergraduate Students ◽  
Information Seeking ◽  
Information Sources ◽  
Video Sharing ◽  
Current Trends ◽  
Social Media Platforms ◽  
User Groups ◽  
Use Of Social Media

Social media have become increasingly popular among different user groups. Although used for social purposes, some social media platforms (such as Wikipedia) have been emerging as important information sources. Focusing on undergraduate students, a survey was conducted to investigate the following: (1) which social media platforms are used as information sources; (2) what are the main reasons for using these social media platforms for information seeking; and (3) what kinds of actions are taken to evaluate the quality of the information gained from such sources. The study provides a snapshot of current trends in terms of the use of social media as information sources. It also sheds lights on the actions that the undergraduate students took to evaluate information from social media, including social networking and video sharing sites that have rarely been studied previously. Based on the findings, suggestions are made for information literacy programs and roles of librarians and educators.

scholarly journals Property Valuation Using Linear Regression and Random Forest Algorithm

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0
Keyword(s):  
Social Media ◽  
Urban Areas ◽  
Recent Past ◽  
Property Valuation ◽  
Nation States ◽  
Social Media Platforms ◽  
User Groups ◽  
Property Sales ◽  
Using Data ◽  
Economic Boom

The economic boom over the recent past and the quest to further develop, has made several nation states the business hubs in their regions. Along with the investments, there has been growth in the number of property sales. Social media has become convenient platform of choice for advertising property sales after the introduction of Web 2.0. This article utilizes social media platforms like Facebook to scrape data from user groups advertising properties and then using data mining techniques and approaches to determine true valuation of properties. This methodology is based on set attributes, in the urban areas by looking at the property sales of the recent past within the same area. This enables investors interested in these properties and provides a fair idea of price of properties based on the key attributes associated with the respective property.

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