• Title, Summary, Keyword: social networking sites

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Competitive intelligence in Korean Ramen Market using Text Mining and Sentiment Analysis

  • Kim, Yoosin;Jeong, Seung Ryul
    • Journal of Internet Computing and Services
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    • v.19 no.1
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    • pp.155-166
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    • 2018
  • These days, online media, such as blogospheres, online communities, and social networking sites, provides the uncountable user-generated content (UGC) to discover market intelligence and business insight with. The business has been interested in consumers, and constantly requires the approach to identify consumers' opinions and competitive advantage in the competing market. Analyzing consumers' opinion about oneself and rivals can help decision makers to gain in-depth and fine-grained understanding on the human and social behavioral dynamics underlying the competition. In order to accomplish the comparison study for rival products and companies, we attempted to do competitive analysis using text mining with online UGC for two popular and competing ramens, a market leader and a market follower, in the Korean instant noodle market. Furthermore, to overcome the lack of the Korean sentiment lexicon, we developed the domain specific sentiment dictionary of Korean texts. We gathered 19,386 pieces of blogs and forum messages, developed the Korean sentiment dictionary, and defined the taxonomy for categorization. In the context of our study, we employed sentiment analysis to present consumers' opinion and statistical analysis to demonstrate the differences between the competitors. Our results show that the sentiment portrayed by the text mining clearly differentiate the two rival noodles and convincingly confirm that one is a market leader and the other is a follower. In this regard, we expect this comparison can help business decision makers to understand rich in-depth competitive intelligence hidden in the social media.

An Empirical Study of Knowledge Sharing Behavior of the SNS: A Case Study of "Sina Weibo"

  • Lu, Jinku;Kim, Jongki
    • Asia pacific journal of information systems
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    • v.26 no.3
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    • pp.367-384
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    • 2016
  • Social networking services (SNS) have become a significant platform for Internet users to obtain knowledge and information. Users can share messages mutually via this platform. This kind of sharing enables users to exchange and gain useful information. However, in recent years, the crisis of stickiness has appeared in SNS, calling attention to the social network industry. Relevant professionals explain that the interest of users in sharing knowledge on SNS websites and applications may gradually decrease, eventually leading to users giving it because the platforms utilize simple and uninteresting methods to attract active participation from users. However, factors affecting the knowledge sharing on SNS websites and applications should be identified clearly through studies. Sina Weibo is one of the largest SNS platforms in the world, and studies on the factors affecting knowledge sharing of users could be valuable in addressing this issue. This paper establishes the theoretical analysis model of knowledge sharing in SNS sites and applications, analyzes the factors affecting knowledge sharing on these sites, and proposes the corresponding strategies to address the issues. Using questionnaire surveys on Sina Weibo users, this article will discuss the factors affecting knowledge sharing, and analyze these factors on SNS as well as improve the stickiness of users to achieve the aim of SNS platforms enabling the expansion of the range of users. The study will discuss theoretical foundations and the hypotheses that arise. The method of study will also be discussed. The study concludes with theoretical implications, practical implications, limitations, and future research opportunities. The results of this study could aid researchers in understanding the underlying reasons for social network activities as well as for SNS developers in improving SNS services.

Constructing Negative Links from Multi-facet of Social Media

  • Li, Lin;Yan, YunYi;Jia, LiBin;Ma, Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.5
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    • pp.2484-2498
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    • 2017
  • Various types of social media make the people share their personal experience in different ways. In some social networking sites. Some users post their reviews, some users can support these reviews with comments, and some users just rate the reviews as kind of support or not. Unfortunately, there is rare explicit negative comments towards other reviews. This means if there is a link between two users, it must be positive link. Apparently, the negative link is invisible in these social network. Or in other word, the negative links are redundant to positive links. In this work, we first discuss the feature extraction from social media data and propose new method to compute the distance between each pair of comments or reviews on social media. Then we investigate whether we can predict negative links via regression analysis when only positive links are manifested from social media data. In particular, we provide a principled way to mathematically incorporate multi-facet data in a novel framework, Constructing Negative Links, CsNL to predict negative links for discovering the hidden information. Additionally, we investigate the ways of solution to general negative link predication problems with CsNL and its extension. Experiments are performed on real-world data and results show that negative links is predictable with multi-facet of social media data by the proposed framework CsNL. Essentially, high prediction accuracy suggests that negative links are redundant to positive links. Further experiments are performed to evaluate coefficients on different kernels. The results show that user generated content dominates the prediction performance of CsNL.

A Study on the Optimization of Library SNS Marketing (도서관 SNS 마케팅 활성화 방안에 관한 연구)

  • Kim, Ji Eun;Noh, Younghee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.3
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    • pp.157-180
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    • 2013
  • With increasing interest in content marketing, SNS (social networking services) has become more popular as a method of library marketing, both at home and abroad. Accordingly, this study analyzed the operational status and problems of library SNS marketing, in an attempt to find ways to optimize its use. Results show that librarians' opinions of library marketing and library SNS marketing were very high, but the problems they faced included a lack of human resources dedicated to marketing, lack of marketing education, a lack of content to upload each week, and low numbers of contacts on social networking sites. To further develop and optimize library SNS marketing, five solutions were suggested based on the survey results: first, composing an intensive managing team for effective SNS operation; second, providing different levels of marketing training to decrease the librarians' mistakes; third, updating data continuously; fourth, providing information and services users need; and lastly, clearly identifying each channel's active operation goals.

Factors affecting the development of consumer-brand relationships - The role of parasocial interaction - (SNS 브랜드 페이지에서 소비자-브랜드 관계 형성에 미치는 영향 요인 분석 - 준사회적 상호작용 역할을 중심으로 -)

  • Park, Jee-Sun;Ha, Sejin
    • The Research Journal of the Costume Culture
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    • v.25 no.1
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    • pp.88-103
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    • 2017
  • The rapid growth in the popularity of social media sites has meant that social media has become an important communication channel for brands. Brands create brand pages on social media to cultivate positive and strong relationships with consumers. This study seeks to enhance our understanding of how fashion brand pages in social media foster consumer-brand relationships by exploring the factors that affect the development of consumer-brand relationships. Drawing on the parasocial interaction theory, this study proposes parasocial interaction as a key factor of this process. Specifically, this study proposes four antecedents (vividness, interactivity, social presence, and focused attention) of consumers' parasocial interaction with brand pages, which further affects consumer responses in terms of affective engagement and brand loyalty. An online survey was administered with consumers who have followed and visited at least one fashion brand page via a social networking site (SNS). Structural equation modeling revealed that consumers' perceptions of vividness, interactivity, social presence, and focused attention on a fashion brand page positively affected their feelings towards parasocial interaction with the brand page, which in turn led to their affective engagement with the brand page and consequent brand loyalty. These findings suggest that consumers build relationships of varying degrees with brand pages in a similar manner to that with people, which leads to their development of a positive relationship with the brand. This study concludes with discussions and practical implications.

Collaboration Framework based on Social Semantic Web for Cloud Systems (클라우드 시스템에서 소셜 시멘틱 웹 기반 협력 프레임 워크)

  • Mateo, Romeo Mark A.;Yang, Hyun-Ho;Lee, Jae-Wan
    • Journal of Internet Computing and Services
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    • v.13 no.1
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    • pp.65-74
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    • 2012
  • Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

Analysis of Questionnaire Investigation on SNS Utilizing Bayesian Network

  • Aburai, Tsuyoshi;Higuchi, Yuki;Takeyasu, Kazuhiro
    • Industrial Engineering and Management Systems
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    • v.12 no.2
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    • pp.130-142
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    • 2013
  • Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. The most popular ones are Facebook, mixi, and Twitter, which are utilized in various fields of life together with the convenient tool such as smart-phone. In this work, a questionnaire investigation is carried out in order to clarify the current usage condition, issues and desired functions. More than 1,000 samples are gathered. Bayesian network is utilized for this analysis. After conducting the sensitivity analysis, useful results are obtained. Differences in usage objectives and SNS sites are made clear by the attributes and preference of SNS users. They can be utilized effectively for marketing by clarifying the target customer through the sensitivity analysis.

Job Satisfaction among Library and Information Science Professionals in India: A Case Study

  • Pandita, Ramesh
    • Journal of Information Science Theory and Practice
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    • v.5 no.1
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    • pp.47-64
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    • 2017
  • Purpose: This study aims to assess the level of job satisfaction among the practicing Library and Information Science (LIS) professionals in India. Some of the key variables studied include salary, work environment, professional position, working hours, location, employee participation in administrative matters, recognition, and advancement. Scope: The study is limited to LIS professionals in India; however, the results of the study show some degree of commonality among LIS professionals across the world. Methodology/Approach: The study has been purely undertaken by analyzing the primary data collected from practicing library and information professionals across India by circulating an online questionnaire, using Google services and by posting the link on various social groups and other social networking sites such as Groups, Facebook, LinkedIn, discussion forums, and e-mails. Findings: Responses were generated across 20 states and union territories of the country, representing 88.15% territory of India. Of the total responses generated, 72.88% are males and 27.12% females. From the data analysis it emerged that every third library professional in India enters in to LIS profession by chance and not by choice, as 35.59% respondents expressed that they landed in the LIS profession by chance and 60.45% by choice. More than 77% respondents have expressed their willingness to change their present employer, if given better opportunity. More than 80% professionals either fully or partly agree that most of the LIS professionals across India are dissatisfied with their employers. All these and many more areas have been explored, which reflect the aspects of job satisfaction and dissatisfaction among LIS professionals in India.

Purchase Intention of Fashion Products in Private Shopping Malls - Focused on Usefulness of SNS and Shopping Value - (프라이빗 쇼핑몰의 패션제품 구매의도 연구 - SNS 유용성, 쇼핑가치를 중심으로 -)

  • Cho, Yunjin;Seo, Sangwoo
    • Journal of the Korean Society of Costume
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    • v.63 no.5
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    • pp.61-71
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    • 2013
  • As an emerging e-retail model, private shopping malls are transforming the traditional retail systems. These malls are expanding in Europe and the United States and have recently arrived in Korea. This study investigates the relationships among the usefulness of SNS(Social Networking Sites), shopping values, and purchase intentions for fashion products in private shopping malls. The analysis was based on a survey of consumers, aged between 20 and 39, who recently purchased fashion products from a private shopping mall. Two hundred samples were used in the final analysis. The study employed descriptive statistics, Cronbach's alpha, confirmatory factor analysis, and structural equation modeling. The relationships among usefulness of SNS, shopping values, and purchase intentions was verified through structural equation modeling. More specifically, the usefulness of SNS significantly influenced the utilitarian shopping values as well as purchase intention of fashion products. Utilitarian shopping values, in turn, significantly influenced hedonic shopping values and purchase intention. Further, hedonic shopping values had a significant effect on purchase intention.

What Affects the Value of Information Privacy on SNS?

  • Jung, Woo-Jin;Lee, Sang-Yong Tom
    • Asia pacific journal of information systems
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    • v.25 no.2
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    • pp.289-305
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    • 2015
  • The dramatic growth of social networking sites (SNS) has created a myriad of privacy concerns. Our study focuses on how much monetary incentive SNS users are willing to accept in exchange for disclosing their SNS information by accepting friend requests. First, we focused on information privacy in SNS, and estimated the value of information privacy by using the contingent valuation method. Second, we attempted to estimate how SNS users' willingness to accept would change when demographic information and additional information vary. Privacy-sensitive SNS users have the following characteristics: higher education, less SNS experience, and higher security consciousness. On the contrary, those who make good use of SNS and use open-based SNS are less sensitive to privacy. In summary, privacy-sensitive SNS users are fearful or uneasy when they have insufficient control of SNS information. Considering 14 conditions on the value of information privacy on SNS, the mean value of SNS information per person is 173,957 won. If we apply this value to Facebook users, the total Facebook information value would be 1.91 trillion won, considering that there are 11 million users in Korea.