• Review of Korean Society for Internet Information
• /
• v.14 no.1
• /
• pp.8-28
• /
• 2013

In a backlash against corporate branding and capitalism, a growing number of consumers are resisting current marketplace practices and big corporate brands. One particular form of this phenomenon is the emergence of anti-brand communities in social media. The current study, which surveyed a sample of 251 anti-brand community members on Facebook, provides a preliminary understanding of the characteristics and antecedents of anti-brand communities as a new platform for consumer empowerment and anti-brand activism. Findings suggest that consumers' engagement in online anti-brand communities, especially through social media, may be triggered by their negative experiences with employees, product quality, post-purchase service, and value/price. They are motivated, the results show, by seven primary factors: altruism, revenge, advice seeking, convenience, sympathy seeking, socialization, and the need to vent.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.4
• /
• pp.121-131
• /
• 2022

We look at the initial stage of Meta (previous Facebook)'s new metaverse platform and investigate its platform design in pre-launch and ignition life stage. From the Rocket Model (RM)'s theoretical logic, the results reveal that Meta firstly focuses on investing in key content developers by acquiring virtual reality (VR), video, music content firms and offering production support platform of the augmented reality (AR) content, 'Spark AR' last three years (2019~2021) for attracting high-potential developers and users. In terms of three matching criteria, Meta develops an Artificial Intelligence (AI) powered translation software, partners with Microsoft (MS) for cloud computing and AI, and develops an AI platform for realistic avatar, MyoSuite. In 'connect' function, Meta curates the game concept submitted by game developers, welcomes other game and SNS based metaverse apps, and expands Horizon Worlds (HW) on VR devices to PCs and mobile devices. In 'transact' function, Meta offers 'HW Creator Funding' program for metaverse, launches the first commercialized Meta Avatar Store on Meta's conventional SNS and Messaging apps by inviting all fashion creators to design and sell clothing in this store. Mata also launches an initial test of non-fungible token (NFT) display on Instagram and expands it to Facebook in the US. Lastly, regarding optimization, especially in the face of recent data privacy issues that have adversely affected corporate key performance indicators (KPIs), Meta assures not to collect any new data and to make its privacy policy easier to understand and update its terms of service more user friendly.

• (The) Korean Journal of Advertising
• /
• v.25 no.5
• /
• pp.7-42
• /
• 2014

This study is designed to examine the effects of information source's social distance on message attitude and online word-of-mouth intention (e-WOM). It also examined the moderation effects of blatant persuasive intention of message, the normative interpersonal influences, and the informative interpersonal influences on the relationship between social distance and advertising effectiveness. This study employed an experiment: 2(far/near social distance far/near) ${\times}2$(high/low blatant persuasive intention of message) ${\times}$(high/low normative interpersonal influences) ${\times}2$(high/low informative interpersonal influences). The results of this study are as follows. First, closer social distance led to more positive message attitude and higher online word-of-mouth intention. Second, when blatant persuasive intention of message is low, the effects of social distance on message attitude and WOM intention were more noticeable while those effects were less significant for high blatant persuasive intention of message. Third, there were no interaction effects of social distance and normative interpersonal influences on advertising effectiveness. Fourth, the effects of social distance on message attitude and WOM intention were more significant for high informative interpersonal influences than for low informative interpersonal influences. Implications of study findings are provided for strategic use of corporate Facebook page to generate positive consumer responses.

• Knowledge Management Research
• /
• v.23 no.3
• /
• pp.65-88
• /
• 2022

Companies actively engage with the public through social media to enhance sales and promote brand awareness, which was further encouraged by the pandemic. However, previous studies tend to consider companies as a group of identical features. This study focuses on the differences between B2B and B2C companies' social media content strategy in relation to user engagement. This study categorized KOSPI 100 companies that manage Facebook corporate fan pages into B2B and B2C, and then analyzed the contents they posted from January 1 to December 31, 2020. The result showed that B2C companies tended to use videos over images, prefer hashtags, and comment its product name more often compared to B2B companies. B2B companies preferred images, used more hyperlinks, and mentioned its company name more often. In B2B companies, images and length of text had positive effects on user engagement, while hyperlink and URL had negative effects. B2C companies' text length had positive effect on user engagement. This study provides practical implications to PR practitioners for establishing a social media strategy which enhances user engagement.

• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.225-232
• /
• 2021

Nowadays, opinion leaders influence the formation of public opinion on various issues in social network services. There has been a lack of research on the personal characteristics that inspire users to interact with opinion leaders and show intent to act. This paper verifies how the disposition of Facebook users' self-identity affects the quasi-social interaction with opinion leaders on Facebook and the intention to share information. As the perception and behavior of users on social media platforms differ depending on the type of issue, an online survey was conducted by classifying issue types into life culture and political sectors. Research found that personal identity had a significant positive effect on quasi-social interactions in the life culture and politics sectors, while group identity negatively affected quasi-social interactions. In addition, the intention to share information was confirmed to have a significant effect only in the life and culture areas of self-identity (social and group identity). Quasi-social interaction was confirmed to have a significant positive effect on all issue areas. The results of this study suggest the need to consider variations in opinion leader marketing strategies based on the types of self-identity of Facebook users in the future. In addition, the study shows that raising the level of quasi-social interaction at the corporate level without distinction of issue types can lead to effective results.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.501-511
• /
• 2020

As more consumers are interested in sustainability issues and evaluate brands based on their social responsibility issues involved, firms are using social media platforms in order to communicate with consumers about Corporate Social Responsibility (CSR) activities. However, the current literature focuses mostly on factors drive engagement of promotional messages, while little evidence was found in the literature on how to design effective CSR messages on social media to engage consumers. Using over 3,000 branded posts on Facebook and Twitter, this research explores factors that help CSR messages become more engaging in social media. The results show that, on average, CSR messages had a negative significant effect on consumer engagement. However, CSR messages became more engaging when designed with emotional appeals, longer texts, and a hashtag. While marginal, CSR messages with informational appeals and humor undermined the effect of CSR messages on engagement. Finally, we explore different types of CSR messages by their beneficiary scope and the role of brands in the message and discuss what message contents drive more engagement in social media. This research contributes to the academic literature and managers by providing new insights on how to design CSR messages for effective communications in social media.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.3
• /
• pp.427-436
• /
• 2013

Social media is drawing attention among companies for its potential as a marketing tool. There are many types of social media and their characteristics are varied, and thus choosing the appropriate social media considering the purpose of the company is important. In this paper, we conduct comparative analysis on the popular social media such as Facebook, Twitter, Naver blog, Youtube, Cyworld and Me2day using multidimensional scaling method. The result shows that there are differences in the effectiveness of enhancing diverse dimensions of corporate image among social media. This result can be used in developing social media based marketing strategy.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.6
• /
• pp.457-464
• /
• 2020

This study aims to recognize customers' real sentiment and then discover the data-driven insights for strategic decision-making in the financial sector of Saudi Arabia. The data was collected from the social media (Facebook and Twitter) from start till October 2018 in financial companies (NCB, Al Rajhi, and Bupa) selected in the Kingdom of Saudi Arabia according to criteria. Then, it was analyzed using a sentiment analysis, one of data mining techniques. All three companies have similar likes and followers as they serve customers as B2B and B2C companies. In addition, for Al Rajhi no negative sentiment was detected in English posts, while it can be seen that Internet penetration of both banks are higher than BUPA, rarely mentioned in few hours. This study helps to predict the overall popularity as well as the perception or real mood of people by identifying the positive and negative feelings or emotions behind customers' social media posts or messages. This research presents meaningful insights in data-driven approaches using a specific data mining technique as a tool for corporate decision-making and forecasting. Understanding what the key issues are from customers' perspective, it becomes possible to develop a better data-based global strategies to create a sustainable competitive advantage.

• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.3
• /
• pp.173-183
• /
• 2019

This study aims to utilize big data contents of news and social media for developing a corporate strategy of multinational enterprises and their global decision-making through the data mining technique, especially text mining. In this paper, the data of 2 news media (BBC and CNN) and 2 social media (Facebook and Twitter) were collected for the three global leading Korean companies (Samsung, Hyundai Motor Company, and LG) from April, 2018 to April, 2019. The findings of this paper have shown that traditional news media and also modern social media have become devastating tools to extract global trends or phenomena for businesses. Moreover, this presents that a company can adopt a two-track strategy through two different types of media by deriving the key issues or trends from news media channels and also grasping consumers' sentiments, preference or issues of interest such as battery or design from social media. In addition, analyzing the texts of those media and understanding the association rules greatly contribute to the comparison between two different types of media channels to see the difference. Lastly, this provides meaningful and valuable data empowered insights to find a future direction comprehensively and develop a global strategy for sustainability of business.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.05a
• /
• pp.681-683
• /
• 2013

And were the prevalence of smartphones is the Big Data era, such as Facebook or Twitter, SNS (Social Network Service) routine is used in the real world. Take advantage of the analysis, and to extract and utilize developed in the Apache Foundation Hadoop (Hadoop) without abandoning the SNS unstructured data here. Hadoop is an open source framework that can handle large amounts of data. Hadoop has been introduced in the domestic corporate and commercial development and Compared to the technology development Hadoop has been pointed out that the lack of security sector. In this paper, we propose a method to enhance the security and vulnerability analysis of security technologies and Hadoop.