• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.1
• /
• pp.147-159
• /
• 2021

After the 2020 Corona 19 pandemic, consumers' online consumption is increasing rapidly, and non-store online retail channels are showing high growth. In particular, social media is gaining its status as a social media market where direct transactions take place in the means of promoting companies' brands and products. In this study, changes in consumer behavior after the Corona 19 pandemic are different in choosing online shopping media such as existing online shopping malls and SNS markets that can be classified into open social media and closed social media when purchasing agri-food online. We tried to find out what type of product is preferred in the selection of agri-food products. For this study, demographic characteristics of consumers, perceived risk of consumers, and dietary lifestyle were set as independent variables to investigate the effect on online shopping media type and product selection. The summary of the empirical analysis results is as follows. When consumers purchase agri-food online, there are significant differences in demographic characteristics, consumer perception risks, and detailed factors of dietary lifestyle in selecting shopping channels such as online shopping malls, open social media, and closed social media. Appeared to be. The consumers who choose the open SNS market are higher in men than in women, with lower household income, and higher in consumers seeking health and taste. Consumers who choose the closed SNS market were analyzed as consumers who live in rural areas and have a high degree of risk perception for delivery. Consumers who choose existing online shopping malls have high educational background, high personal income, and high consumers seeking taste and economy. Through this study, we tried to provide practical assistance by providing a basis for judgment to farmers who have difficulty in selecting an online shopping medium suitable for their product characteristics. As a shopping channel for agri-food, social media is not a simple promotional channel, but a direct transaction. It can be differentiated from existing studies in that it is approached as a market that arises.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.771-774
• /
• 2012

세계적으로 온라인 평판 분석 서비스의 개발 및 SNS 이슈 분석과 영향도 평가 등의 서비스 이용추세가 증가하고 있다. 현재 SNS나 소셜미디어등 온라인을 통해 고객들의 서비스에 대한 정성적인 평가 및 요구사항이 실시간으로 표현되고 있으며, 서비스에 대한 부정적인 여론이 확산되기 전에 능동적으로 대응할 수 있는 시스템의 필요성이 기업들에게 시급히 요구되고 있다. 이러한 시스템 개발을 위해서 선행되어야 할 기술개발 요건으로 B2C 산업의 특성에 기반한 다양한 분석 주제를 설정하고, 이에 맞는 다양한 동일 산업군에 대한 시스템 적용을 위한 분류 표준화가 필수이다. 본 연구에서는 이를 수행하기 위해서 대표 산업군을 선정하여 기존 업무 분류 체계를 기반으로 한 온라인상의 고객 피드백 분류 및 표준화 수립에 대한 방법을 제안한다.

• Proceedings of the Korea Contents Association Conference
• /
• 2018.05a
• /
• pp.343-344
• /
• 2018

온라인 쇼핑몰에서 소비자들이 원하는 상품을 노출시켜 정보를 제공하기 위해서는 상품의 트렌드 분석에 대한 연구가 필요하다. 본 논문에서는 대량의 SNS 데이터와 서비스 내 사용자 데이터를 결합하여 보다 효율적인 상품 트렌드 분석 기법을 제안한다. 온라인 소셜 네트워크의 대중화로 소비자들은 시공간에 구애받지 않고 상품에 대한 정보를 SNS로 교류할 수 있다. 제안하는 기법은 이 과정에서 발생한 SNS 데이터와 사용자 성향 데이터에 시간 속성을 고려하여 상품 트렌드를 분석한다.

• The Journal of the Korea Contents Association
• /
• v.10 no.8
• /
• pp.32-37
• /
• 2010

We classify SNS into two categories and describe the merits and demerits of them. In order to combine the merits of each kind of SNS, we propose the social information sharing system for social network service using social content channel. It makes user share information faster and gather information more effectively. In this paper, we present AskMyFriend. It opens a channel aggregating users' interaction and recommends person who is most likely to know about topic of the question.

• Management & Information Systems Review
• /
• v.30 no.3
• /
• pp.153-167
• /
• 2011

This study conducts to examine the effect of purchase intention on social shopping by connection density and centrality which is a structural characteristic of social network. Furthermore, this study suggests and analyses the difference of social shopping purchase intention between online community which focuses on a group and SNS(social network service) which focuses on an individual. To examine these reason, this study proposes hypotheses that reflects structural characteristic then analyses them. The result of analysis shows that the purchase intention on social shopping seems to be high when the density of connection is high and the purchase intention seems to be high when the centrality is high as well. Moreover, there is difference in the purchase intention on social shopping between online community and SNS and it is found that both cases where the connection density is high in the online community and the connection centrality is high in SNS have significant impact on the purchase intention. Based on these results, this study provides an implication on the importance on network structure in social network and social shopping and to increase the purchase intention of social shopping, this study suggests the implication on the importance and direction which understands the structure of social network type.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.15 no.4
• /
• pp.44-53
• /
• 2016

The era of Big Data has come and the importance of Big Data has been rapidly growing. The part of transportation, the Four-Step Travel Demand Model(FSTDM), a traditional Trip-Based Model(TBM) reaches its limit. In recent years, a traffic demand forecasting method using the Activity-Based Model(ABM) emerged as a new paradigm. Given that transportation means the spatial movement of people and goods in a certain period of time, transportation could be very closely associated with spatial data. So, I mined Spatial Big Data from SNS. After that, I analyzed the character of these data from SNS and test the reliability of the data through compared with the attributes of TBM. Finally, I built a database from SNS for the operation of ABM and manipulate an ABM simulator, then I consider the result. Through this research, I was successfully able to create a spatial database from SNS and I found possibilities to overcome technical limitations on using Spatial Big Data in the transportation planning process. Moreover, it was an opportunity to seek ways of further research development.

• Journal of Internet Computing and Services
• /
• v.15 no.1
• /
• pp.89-102
• /
• 2014

Since the Arab spring in 2010, SNS prompted discussions about the roles to organize collective actions. First of all, mobile media and SNS help to mobilize both on and offline social movement, second, to create new forms of collective actions, third, to organize social movement organizations across the world, fourth, to empower movement participants to develop new collective identities. On the other hand, the same technologies also hinder social movements from developing continuity and dedication. In addition, the problems of digital divide might aggravate the divisive process to organize collective actions across the world. This research is built on these ongoing arguments about the potentials and limitations of new media technologies. In particular, this research tries to move beyond the confrontational approaches to the media through the case study of Save The Jeju Island social movements on Facebook. The movement SNS on Facebook aims to provide as well as organize international SMOs and activists that might help deeper understandings on the potentials and limitations of online communication strategies for global social movements.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.42 no.2
• /
• pp.327-341
• /
• 2018

This study analyzed the influence of social distance and visual information on consumers' fashion style preferences in terms of information characteristics and providers. Data were collected from 521 females in their twenties and thirties who had experience using SNS. The empirical study results were as follows. First, with other factors of exposure under control, the social distance of information characteristics and providers showed a significant impact on fashion style preferences only when social distances were close. Second, the impact of social distance varied depending on the consumer's characteristics. This proved that innovation had significant negative influences, while conformity and informational sensitivity to others showed positive influences on the effects of social distance in terms of information characteristics. Innovation and fashion leadership also showed a negative influence on the social distance effect in terms of information providers. Third, conformity, informational sensitivity to others, and fashion leadership, proved to have a significant impact on the acceptance of eWOM in fashion styles, but innovativeness and normative sensitivity to others did not have a significant influence. This study can be used as baseline data in SNS marketing strategies for vitalizing information spread through eWOM.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.6
• /
• pp.37-48
• /
• 2014

Social emotion is being highlighted as an important factor of human life in terms of quality of communication as a variety of social networks are commonly used. To understand such social emotion, this study verifies and analyzes the significance of lexical meaning and expression of emotion basically for understanding of complex meaning of social emotion. The emotional expressions represented in SNS text messages, one of the major channel of communication, are examined in this study to create scales of meaning and expression and to understand the differences deeply. As a result of the analysis, it turned out that negative assessment factors were more than positive ones among social emotional factors while positive ones were outstandingly many in the case of social emotional expression. Social emotional factors were classified by basic emotional elements and valences while emotional expression included complex meaning and especially positive elements were dominant in general.

• The Journal of Society for e-Business Studies
• /
• v.15 no.4
• /
• pp.123-142
• /
• 2010

Generally speaking, user behavior in the post-adoption period is different from that in the pre-adoption period. Users come to make on their experiences of IT use whether they will continue to use it or not. Most theories about the user behaviors in the pre-adoption period are limited in describing them after adoption since they do not consider user's experiences of using the adopted IT and the beliefs formed by those experiences. Therefore, in this study, we explore user's experiences and beliefs such as familiarity, satisfaction and habits in the post-adoption period and examine how they affect user's intention to continue in using Mobile Social Network Service. Through literature reviews, we proposed the conceptual model to explain the role of users' habits in continuance of IT post-adoption stage. Then, we examine the impact of the constructs to affect the intention to continue using the Mobile SNS. The results show that the intention to continue to use Mobile SNS is strongly influenced by users' habits, satisfaction and familiarity; users' habits is strongly influenced by satisfaction and familiarity; satisfaction is strongly influenced by familiarity.