• Asia pacific journal of information systems
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• 제26권1호
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• pp.124-142
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• 2016

Companies operating in social network platforms continue to improve and expand their marketing techniques. This study examines the practice of "gating", which involves virtual barriers between social network users and company content. Gates demand mandatory user endorsements, in the form of a Facebook "Likes", Twitter "retweets" etc., to gain access to company content, such as coupons and rewards,. Gating practices demand a mandatory endorsement before any content consumption takes place. Thus, while user endorsements are assumed to arise voluntarily from trusted known sources, gating practices would appear to violate this assumption. However, whether this violation lessens the effectiveness of gating practices still requires empirical validation. We investigate this question through the use of a unique panel data set that includes data on "like" endorsements obtained from a number of real-world Facebook business pages. Results of the study show that gating practices are effective for endorsement solicitation; however, gates may interfere with more traditional marketing activities.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.523-531
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• 2021

This study aims to examine the role of social media marketing on the performance of micro-, small and medium-sized enterprises (MSMEs) during the COVID-19 pandemic. This research method uses a quantitative approach and the analytical tool used is Structural Equation Modeling (SEM) based on Partial Least Square. The sampling technique used purposive sampling and the sample in this study was MSMEs who use social media for marketing. The social media used are Facebook, Instagram, and Whatsapp. The number of samples in this study was 254 MSMEs. Data collection used online questionnaires. The research findings show that the use of social media marketing is influenced by compatibility, perceived usefulness, and perceived ease-of-use. The results of this study indicate that the use of social media for marketing has a positive effect on the performance of MSMEs, especially in increasing sales, customer relationships, productivity, and creativity. This means that the better the management of social media for marketing, the better the performance of MSMEs will be. The theoretical contribution to this research is built on the TAM and UTAUT theories and their impact on social media marketing on MSMEs in developing countries that are living through the COVID-19 pandemic.

• 디지털융복합연구
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• 제16권10호
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• pp.427-436
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• 2018

기업들이 온라인 마케팅 채널로 SNS를 이용하고 있으며 나아가 소셜을 통한 고객관계관리(소셜CRM)의 영역으로 발전시키고 있는 추세이다. 이처럼 사회 전반적으로 소셜 미디어를 통한 기업들의 마케팅이 활발한 상황이지만 국내 어학 브랜드들의 소셜 미디어 마케팅 활동은 브랜드 특성에 따라 상이한 상태이다. 본 연구는 소셜 미디어 마케팅 활동의 구성 요소 중 정보성, 콘텐츠 적합성, 최신성이 브랜드 자산과 구매의도에 미치는 영향을 분석 하였다. 연구 결과 첫째, 소셜 미디어 마케팅 활동의 구성 요소들은 브랜드 자산에 유의한 영향을 미치며 그 영향력은 최신성, 콘텐츠 적합성, 정보성 순이었다. 둘째, 브랜드 자산과 소비자 구매의도에서도 유의한 영향관계가 있으며, 자녀유무에 따라 구매의도에 영향을 미치는 것으로 확인되었다. 본 연구의 결과는 어학원 소셜 미디어 마케팅에 관한 기초 연구 자료로 활용 될 수 있을 것이며 어학원 소셜 미디어 마케팅에 관한 학술적인 자료가 충분하지 않은 현 상황에서 향후 후속 연구에 이론적인 방향성을 제시할 수 있을 것이다.

• 스마트미디어저널
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• 제6권3호
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• pp.41-48
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• 2017

Event detection using social media has been widespread since social network services have been an active communication channel for connecting with others, diffusing news message. Especially, the real-time characteristic of social media has created the opportunity for supporting for real-time applications/systems. Social network such as Twitter is the potential data source to explore useful information by mining messages posted by the user community. This paper proposed a novel system for temporal event detection by analyzing social data. As a result, this information can be used by first responders, decision makers, or news agents to gain insight of the situation. The proposed approach takes advantages of deep learning methods that play core techniques on the main tasks including informative data identifying from a noisy environment and temporal event detection. The former is the responsibility of Convolutional Neural Network model trained from labeled Twitter data. The latter is for event detection supported by Recurrent Neural Network module. We demonstrated our approach and experimental results on the case study of earthquake situations. Our system is more adaptive than other systems used traditional methods since deep learning enables to extract the features of data without spending lots of time constructing feature by hand. This benefit makes our approach adaptive to extend to a new context of practice. Moreover, the proposed system promised to respond to acceptable delay within several minutes that will helpful mean for supporting news channel agents or belief plan in case of disaster events.

• Asia Marketing Journal
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• 제19권4호
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• pp.15-36
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• 2018

Vietnamese luxury market is rapidly growing, however, there is a few researches on Vietnamese consumers' perceptions of luxury products and influential factors in purchasing intention. The purpose of this study is to explore Vietnamese consumers' value dimensions and mediating effect of social media information for their decision making for luxury product. Data were collected using self-administered mail survey. This study examines the influences of consumers' perceptions of quality and value, and social media word-of-mouth on Vietnamese consumers' luxury purchase intention.

• 유통과학연구
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• 제18권6호
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• pp.37-46
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• 2020

Purpose: This research aims to explain the influence of social media influencer (SMI), electronic word of mouth (EWOM), and perceived quality (PQ) on purchase intention (PI) of beauty products on YouTube. Youtube as the number 1 social media in Indonesia, has an important role as a promotional strategy media for beauty products. Research design, data and methodology: This study used the online survey to 210 female respondents aged 17-30 years who became a subscriber of an Indonesian beauty influencer. Simple regression and multiple regressions were performed to analyze the independent variables towards the dependent variable. Results: The results show that social media influencer, electronic word of mouth, and perceived quality simultaneously have a significant influence on purchase intention. Nevertheless, only two variables individually have a significant influence on purchase intention, which is social media influencer and perceived quality. Conclusions: Perceived quality and social media influencer could be the best strategies to increase consumers when promoting through the influencer's Youtube channel by utilizing a subscriber. While e-WOM can be influential on other social media platforms rather than on the Youtube platform. Therefore, suggested that digital marketer must use multiple social media platforms to increase consumers' purchase intention.

• The Journal of Asian Finance, Economics and Business
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• 제5권3호
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• pp.81-93
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• 2018

This study developed and tested the impact of hallyu 4.0, social media, and consumer ethnocentrism on the decision to purchase Korean products of Generation C in Vietnam. Both qualitative and quantitative methodologies were utilized in this study. Qualitative research was first carried out with in-depth interview, conducted to derive measurement items for the interested constructs. Quantitative research used cross-sectional field design by pilot study and official study. The model was tested and developed using data collected by questionnaires, from a sample of 575 respondents, by both electronic and paper surveys with non-probability and convenience sampling techniques. SPSS 20 and AMOS 20 software were employed to analyze the data. The results of structural equation modeling showed that hallyu 4.0, social media, and consumer ethnocentrism influenced the intermediates variables: subject norms, trust, attitude and behavioral intention and influenced purchase decision. The hallyu 4.0, social media, and consumer ethnocentrism are independent variables. They impact purchase decision through mediating variables such as trust, subjective norms, attitude and behavioral intention. Social media influences not only to trust but also to subjective norms. Subjective norms influence on purchase decision. This study also discovers an interesting fact that trust and attitude variables have an impact on behavioral intention and purchase decision.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.305-315
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• 2021

This article aims to explore the contribution of social media value to a company's financial performance in a digital environment economy since the awareness of companies and investors in the use of social media opens up new mechanisms for disseminating information. Quantitative method is used in this study with Multivariate Analysis of Variance as the analysis tool. The data used is secondary data gathered from Indonesia Stock Exchange (IDX) using 308 companies as samples. In the multivariate test, four kinds of multivariate significance tests were carried out, namely Pillai Trace, Wilk Lambda, Hotelling's Trace, and Roy's Largest Root. It was found that social media value has a small contribution in the difference of the level of profitability and the value of the company in Indonesia, but it doesn't have a contribution to the difference of the level of liquidity. The contribution was an implication of online Word of Mouth (WOM) motives which are interrelated with signal theory and as additional information for investors in relation to single-person decision theory. This study provides an insight into the importance of social media management considering that the world of digital economy will continue to develop, so companies in Indonesia need to take advantage of these opportunities.

• 산경연구논집
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• 제13권9호
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• pp.37-50
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• 2022

Purpose: The purpose of this study is to explore and compare research trends in Korea and overseas academic papers on social media marketing, and to present new academic perspectives for the future direction in Korea. Research design, data and methodology: We used English abstract of research paper (Korea's: 1,349, overseas': 5,036) for word frequency analysis, topic modeling, and trend analysis for each topic. Results: The results of word frequency and co-occurrence frequency analysis showed that Korea researches focused on the experiential values of users, and overseas researches focused on platforms and content. Next, 13 topics and 12 topics for Korea and overseas researches were derived from topic modeling. And, trend analysis showed that Korean studies were different from overseas in applying marketing methods to specific industries and they were interested in the short-term performance of social media marketing. Conclusions: We found that the long-term strategies of social media marketing and academic interest in the overall industry will necessary in the future researches. Also, data mining techniques will necessary to generate more general results by quantifying various phenomena in reality. Finally, we expected that continuous and various academic approaches for volatile social media is effective to derive practical implications.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.475-483
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• 2021

COVID-19 pandemic has affected the lives of people and has forced businesses to develop different ways of doing businesses. Several businesses have implemented social responsibility activities. With social distancing keeping many people at home, online and digital platforms have become one of the most important mechanisms for businesses undertakings and implementing those social responsibility initiatives and activities - digital social responsibility (DSR). The purpose of this study is to examine the relationships of electronic word-of-mouth (eWOM) intentions and customer engagement with DSR in social media with attitude toward DSR as the antecedent during COVID-19 social distancing situation in Thailand. The study employs a quantitative research method where sampling method is followed by convenience sampling technique, and study data is collected through survey questionnaire with social media users who have experiences with firms' online social responsibility initiatives. Based the samples of 123 respondents, Structural Equation Modelling (SEM) has been used for analysis. The results show that attitudes toward DSR in social media significantly influence electronic word-of-mouth (eWOM) intentions and have a significant effect on customer engagement with DSR in social media. The mediation analysis also revealed that eWOM intention partially mediated the relation between attitudes toward DSR in social media and customer engagement.