• The Journal of Bigdata
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• v.2 no.2
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• pp.9-16
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• 2017

Global Platform Solution Company (aka Amazon, Google, MS, IBM) who has cloud platform, are driving AI and Big Data service on their cloud platform. It will dramatically change Enterprise business value chain and infrastructures in Supply Chain Management, Enterprise Resource Planning in Customer relationship Management. Enterprise are focusing the channel with customers and Business Partners and also changing their infrastructures to platform by integrating data. It will be Digital Transformation for decision support. AI and Deep learning technology are rapidly combined to their data driven platform, which supports mobile, social and big data. The collaboration of platform service with business partner and the customer will generate new ecosystem market and it will be the new way of enterprise revolution as a part of the 4th industrial revolution.

• The Journal of Information Systems
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• v.24 no.4
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• pp.99-116
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• 2015

Purpose One of the main characteristics of Social Network Service(SNS) is that users in an open space makes posts through voluntary participation and sharing among them. This makes SNS a very attractive channel to companies that need to send their messages to consumers. As a matter of fact, there are many companies doing marketing activities through a platform of Fan Page as a space for corporations and consumers to act together. This study defines the values and types of companies' advertising posts on Facebook, empirically analyzes the results of them, and investigates factors that could enhance the customer engagement. Design/methodology/approach A research model was built to demonstrate which values and types of posts were combined by corporations' posts on Facebook and create their messages and which of those combinations would lead to high results of customer engagement. Findings The results show differences in the values of posts between the group of high customer engagement and the other group on Facebook. This study makes its contribution by conducting elaborate analysis of posts on Facebook and thus proposing marketing strategies that companies, which had difficulties with systematic marketing activities due to cost limitations, could use on Facebook.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.369-372
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• 2018

박물관 3.0시대의 도래와 함께 박물관 경영 측면에서 빅데이터 분석, 그리고 공유와 개방의 관점 및 커뮤니케이션 플랫폼과 마케팅 도구로써 소셜 미디어의 영향력이 증대되고 있다. 모바일 애플리케이션이나 비콘에 의존했던기존의 박물관 빅데이터 분석과는 달리, 본 연구에서는 전시에 대한 인스타그램의 해시태그를 분석함으로써, 관람객 분석도구로써 인스타그램 해시태그의 효용성과 가치를 입증하는데 목적을 두고 있다. 이를 위해 최근 2년 동안 국내에서 개최된 다섯 개의 전시의 인스타그램 해시태그를 수집 및 시각화했다. 그 결과, 모든 전시의 인스타그램의 해시태그는 전시명, 전시장소, 전시회, 지역명, 작가명에 집중되었다. 결론적으로 인스타그램의 해시태그는 전시관람 경험에 대한 분석을 위한 빅데이터로 사용하는 것이 부적합했다. 또한 관람객 개발을 위한 도구로써 인스타그램 해시태그의 효용성과 가치는 입증되지 못한 반면, 노출형에 해당하는 해시태그의 정보 확산에 대한 잠재력은 확인되었다.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.217-234
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• 2018

In this study, big data analysis was conducted for domestic and international sports goods brands. Text Mining, TF-IDF, Opinion Mining, interestity graph were conducted through the social matrix program Textom and the fashion data analysis platform MISP. In order to examine the recent recognition of sports brands, the period of study is limited to 1 year from January 1, 2017 to December 31, 2017. As a result of analysis, first, we could confirm the products representing each brand. Second, I could confirm the marketing that represents each brand. Third, the common words extracted from each brand were identified. Fourth, the emotions of positive and negative of each brand were confirmed.

• The Journal of Bigdata
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• v.1 no.1
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• pp.1-7
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• 2016

Social media such as twitter has been popular by the diffusion of internet, and thanks to the radical improvement of computational ability of computers big data analysis became possible. This research is regarding about smart watch which is receiving attention as post-smartphone technology. Among various types of smart watch, this research focuses on the recently released Samsung Galaxy Gear S2. The main purpose of the research is to analyze customer's actual twitter data that was produced before and after the release of the smart watch to the market. Through the analysis, this research provides practical marketing strategy guideline, and also the analysis framework used in this research can be a research framework for other area and product researches.

• Journal of Korean Society for Quality Management
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• v.51 no.2
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• pp.203-221
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• 2023

Purpose: The purpose of the research is to explore the role of social media in attracting international patients for cosmetic services in South Korea during the COVID-19 pandemic. The study aims to conceptualize social media as an effective marketing tool for minimizing perceived risks associated with cosmetic services and increasing patient satisfaction. Methods: The study validated proposed hypotheses using the PROCESS macro for SPSS with overseas patients who received cosmetic treatment in private Korean plastic surgery clinics in Busan. Results: This study found that information delivery capability reduced perceived risk and contributed to patient satisfaction, while communication capability did not show any significant relationship with perceived risk and satisfaction. In addition, information delivery capability had a significant direct effect on patient satisfaction, but communication capability did not. Conclusion: It is expected that the outcomes of this study will broaden our understanding of the use of social media in reducing perceived risk and increasing satisfaction.

• Information Systems Review
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• v.21 no.1
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• pp.23-38
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• 2019

The social network service (SNS) is one of the important marketing channels, so many companies actively exploit SNSs by posting SNS messages with appropriate content and style for their customers. In this paper, we focused on the psychological distances embedded in the SNS messages and developed a method to measure the psychological distance in SNS message by mixing a traditional content analysis, natural language processing (NLP), and machine learning. Through a traditional content analysis by human coding, the psychological distance was extracted from the SNS message, and these coding results were used for input data for NLP and machine learning. With NLP, word embedding was executed and Bag of Word was created. The Support Vector Machine, one of machine learning techniques was performed to train and test the psychological distance in SNS message. As a result, sensitivity and precision of SVM prediction were significantly low because of the extreme skewness of dataset. We improved the performance of SVM by balancing the ratio of data by upsampling technique and using data coded with the same value in first content analysis. All performance index was more than 70%, which showed that psychological distance can be measured well.

• Management & Information Systems Review
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• v.32 no.5
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• pp.193-231
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• 2013

As developed IT, Word-of-Mouth(WOM) used varied terms as buzz marketing and viral marketing, and impressed that importance. Despite introduced new marketing tool on managers and professionals, online word-of-mouth including SNS lack of study on social network what based viral in marketing. In social network, patterns of relationship between individuals influence each other individual behaviors. Therefore this research grouped friendship-network and advice-network by characteristics, studied on trust of information source that antecedents of word-of-mouth in network. This study examined that affect- and cognition based trust affect WOM acceptance as WOM behaviors and examined effect of type of product as moderating variable. Additional this literature studied that WOM acceptance affect WOM recommend. To find the Influence of Trust on Word-of-Mouth Behaviors, a survey has done 206 samples(undergraduate students). The results of this study are as following : First, type of trust different friendship network and advice network. Affect-based trust is outstanding in friendship network than in advice network, while cognition-based trust stands out in advice network than another. Second, affect- and cognition based trust positive affect WOM acceptance. Contrary to expectations, what is preconceived trust in network have a similar effect for WOM acceptance regardless of type of trust. Third, WOM acceptance positive affect WOM recommend. Fourth, affect based trust affect WOM acceptance of hedonic product rather than utilitarian product. Upon especially in friendship network terms, affect-based trust has a more effect on WOM acceptance than cognition-based trust. This study has many implications. First, it is important that trust what have an influence WOM acceptance grouped affect- and cognition based trust. Second, it confirmed that trust is antecedents of positive WOM. Third, it is important that network grouped friendship network and advice-network by trust. Fourth, it gave managerial implications that they have to supply WOM through which network by type of product. We This study classified network and trust based on previous study. Then it examined relations between WOM behaviors. Further research could do enrich various things for example various age group, valence of message, quality of information.

• Information Systems Review
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• v.20 no.2
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• pp.39-62
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• 2018

Thanks to the growth of computing power and the recent development of data analytics, researchers have started to work on the data produced by users through the Internet or social media. This study is in line with these recent research trends and attempts to adopt data analytical techniques. We focus on the impact of "internal marketing" factors on firm performance, which is typically studied through survey methodologies. We looked into the job review platform Jobplanet (www.jobplanet.co.kr), which is a website where employees and former employees anonymously review companies and their management. With web crawling processes, we collected over 40K data points and performed morphological analysis to classify employees' reviews for internal marketing data. We then implemented econometric analysis to see the relationship between internal marketing and market capitalization. Contrary to the findings of extant survey studies, internal marketing is positively related to a firm's market capitalization only within a limited area. In most of the areas, the relationships are negative. Particularly, female-friendly environment and human resource development (HRD) are the areas exhibiting positive relations with market capitalization in the manufacturing industry. In the service industry, most of the areas, such as employ welfare and work-life balance, are negatively related with market capitalization. When firm size is small (or the history is short), female-friendly environment positively affect firm performance. On the contrary, when firm size is big (or the history is long), most of the internal marketing factors are either negative or insignificant. We explain the theoretical contributions and managerial implications with these results.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.295-303
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• 2014

This exploratory study deals with the digital policy proposal through emotional perception of real name SNS and WOM effect. Research was based on the audience trends analysis of the movies having official SNS sites and the movies not having official SNS sites among the opened 90 movies in Korea from 2012 to 2013. Therefore, researchers confirmed that the representative real SNS, facebook was utilized as emotional marketing tools and tried to analyze the effectiveness of SNS critically. The research results are the follows. First, the movies to actively utilize facebook showed statistically significant differences in terms of daily, weekly audience and seat share (occupancy ratio). It is indirectly confirmed that real name SNS such as facebook is much effective in WOM marketing. Second, in the daily trends and weekly trends, the movies showed a similar pattern and above all, the movies to actively take advantage of facebook maintained their audience trends. Thus the government and the corporation have to understand the emotional WOM effect of real name SNS for policy effectiveness. Therefore this study gives the contribution practically for boost up the policy effectiveness through emotional ripple WOM effect of the strength of weak tie of real name SNS.