• Journal of Korea Trade
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• v.23 no.7
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• pp.45-63
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• 2019

Purpose - This study aims to examine the factors that affect consumers' intention to use a global business-to-consumer sharing platform. Design/methodology - The questionnaire collected 300 copies from June 25 to July 11, 2019, of which 281 were used for statistical processing. The structural equation model (SEM) was used to test hypothesis in this research. Findings - The results showed that information innovation, personalization, and personal innovation influenced perceived usefulness, and social connectivity did not affect perceived usefulness. And perceived usefulness greatly influenced the intention to use. Research limitations/implications - The limitations of the study are that most of the survey respondents were in their twenties and could not grasp the perception of sharing economy services for various age groups. This paper derived implications that sharing platform promotes sharing and cooperation, which are the basic principles of international trade, to increase the intrinsic value of resources by cyclically using and utilizing limited resources around the world. Originality/value - It aims to contribute to the growth of consumer value-related industries and the welfare of society by providing implications from the point of view of sharing platform services.

• Journal of Information Technology Applications and Management
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• v.19 no.1
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• pp.25-36
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• 2012

Social Commerce recently attracted the attention of academic and industry researchers. Social Commerce aims to make a transactional environment which is beneficial to three parties-social commerce service provider, buyer and seller by way of using the platform of SNS. As Social Commerce is a new technology issue, there is no existing conceptual framework, e.g. appropriate classification the business types, that help to understand the nature of Social Commerce. This study suggests one classification framework and tries to verify whether it works.

• Journal of Distribution Science
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• v.19 no.10
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• pp.55-64
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• 2021

Purpose: This study empirically validates a research framework encompassing predictors hypothesized to affect the participation in sharing economy on O2O retail platforms. Research design, data, and methodology: The study examines the role of consumers' social capital and consumer citizenship as a net promoter of retail sales increase of sharing economy products. Using a convenience sampling method, this study used a questionnaire survey method to collect data from 400 adult consumers with previous experience of sharing economy who reside in the metropolitan areas of Seoul and Kyonggi Province, Korea. This study applied structural equation modeling to verify the structural relationships proposed as research hypotheses. Results: The study found a significant impact of social capital on sharing economy participation and the impact of consumer citizenship on sharing economy participation in retail settings. This study also confirmed that social identity and corporate image mediated the relationship between social capital (and citizenship) and sharing economy participation. Conclusions: The study results are expected to contribute to further understanding of the sharing economy's key success factors. The study results offer significant strategic implications for retail platform operators and individual retail operators of sharing economy.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.235-250
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• 2021

Purpose - This study analyzed the correlation and influence between social support, trust (seller, brand), and continuous purchase intention in C2C social commerce in China. Design/methodology/approach - To test the hypothesis, SPSS and Smart PLS 3.0 statistical packages were used based on the collected data. Findings - First, it was confirmed that social support (emotional support, informational support) had a positive effect on trust in sellers. Second, it was found that trust in sellers had a positive effect on brand trust. Third, both seller trust and brand trust have a positive effect on consumers' continuous purchase intention. Research implications or Originality - When consumers gain emotional and informational support from sellers, trust in sellers will be effectively improved. Companies wishing to improve brand credibility of their products will have to outsource the sale of their products to trusted sellers. The C2C social commerce platform should build its own trust rating system, recommend sellers with high reliability ratings, and encourage sellers to provide consumers with a lot of information about their brand.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.480-493
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• 2016

Recently, the method of social interaction is transforming into a method that utilizes videos. We are suggesting a new social video platform that contains a video of 'I' and 'the other'. We studied how the appearance of 'the other' and 'I' affected the user. So we applied the Social Impact Theory and Self-Monitoring Theory. The platforms were then used to investigate how the user's positive attitude and sense of community were affected by having the user view his/her and 'the other's appearance watching the same video. As the result, users felt more positive attitude when their own appearance was shown on the screen. However, the positive attitude decreased when there were more femininity in the surrounding videos along with their own appearance. Also, when there were more masculinity in the surrounding video, the users felt a stronger sense of community. We believe this research will provide implications for developing the structure and organization of a new social video platform.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.661-664
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• 2017

Recently, during disasters occurrence, dealing with emergencies has been handled well by the early transmission of disaster relating notifications on social media networks (e.g., Twitter or Facebook). Intuitively, with their characteristics (e.g., real-time, mobility) and big communities whose users could be regarded as volunteers, social networks are proved to be a crucial role for disasters response. However, the amount of data transmitted during disasters is an obstacle for filtering informative messages; because the messages are diversity, large and very noise. This large volume of data could be seen as Social Big Data (SBD). In this paper, we proposed a big data platform for collecting and analyzing disasters' data from SBD. Firstly, we designed a collecting module; which could rapidly extract disasters' information from the Twitter; by big data frameworks supporting streaming data on distributed system; such as Kafka and Spark. Secondly, we developed an analyzing module which learned from SBD to distinguish the useful information from the irrelevant one. Finally, we also designed a real-time visualization on the web interface for displaying the results of analysis phase. To show the viability of our platform, we conducted experiments of the collecting and analyzing phases in 10 days for both real-time and historical tweets, which were about disasters happened in South Korea. The results prove that our big data platform could be applied to disaster information based systems, by providing a huge relevant data; which can be used for inferring affected regions and victims in disaster situations, from 21.000 collected tweets.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.79-85
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• 2021

After COVID-19, the number of individuals participating in delivery platforms has increased. They are using the participation of the delivery platform as a means of creating a new source of income as well as a means of sports and hobbies. This phenomenon is related to a social phenomenon called 'N-jober'. However, there are still few studies examining this phenomenon. Therefore, this study intends to examine the phenomenon of individual participation in delivery platforms and their issues. Text mining was performed on news data from January 2019, when COVID-19 started. As a result, social issues related to the increase in individual participation in delivery platforms were derived into 5 topics(Introduction to the Phenomenon, Characteristics of Participants, Participant's Income and Fees, Characteristics as a Job, Concern about Potential Risks). This study has significance in that it expanded the perspective of academic discussion on delivery platform business to individual participants.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.577-592
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• 2022

This study aims to confirm which factors related to technology acceptance affect generation MZ's use of luxury fashion platforms. For this purpose, Internet self-efficacy and technology readiness were added as new exogenous and moderating variables using extended UTAUT. Then, performance expectancy, effort expectancy, social influence, and facilitating condition as a factor of UTAUT were set as mediating factors. Response data were collected through questionnaires for generation MZ with experience in using luxury fashion platforms, and a factor analysis, reliability analysis, correlation analysis, and path analysis were conducted using the SPSS and AMOS statistical programs. According to the results, the Internet self-efficacy of generation MZ significantly affected on performance expectancy, effort expectancy, social influence, and facilitating conditions on the luxury fashion platform. Moreover, performance expectancy and social influence had a significant effect on the use intention of luxury fashion platforms, but effort expectancy and facilitating condition did not have a significant effect on use intention and use behavior. Additionally, as the moderating effect of technology readiness affects only the relationship between social influence and behavioral intention, it was confirmed that social influence is an important variable with the characteristics of MZ consumers. Therefore, it is deemed necessary to recognize the importance of social influence when trying to use new technologies targeting generation MZ in the fashion industry.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.3
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• pp.145-153
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• 2018

The purpose of this study is to seek ways how you can apply social responsibility requirements in accordance with the organizational characteristics of 'Dong' community service centers which are administrative service platform organizations, by applying the ISO 26000 to these centers. The ISO 26000, which is an international standard for social responsibility, defines the requirements for social responsibility which all organizations, regardless of their sizes or characteristics, can apply. This does not mean that all organizations must apply all the requirements regardless of their sizes or characteristics, but means that each organization can redefine the requirements applicable to its size and characteristics and apply them. Hence, this study defined 'Dong' community service centers' organizational characteristics and stakeholders and assessed the suitability of 251 categories in the ISO 26000 requirements by using the Delphi technique. Through this assessment process, 135 categories were selected. Then, after conducting an importance test by experts, 83 social responsibility assessment indicators applicable to 'Dong' community service centers were developed.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.3-18
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• 2016

This research, through video-based communication in a social video platform environment, studied the influence of the relationship between a video-watching subject and other watchers to that of the user's positive emotion and sense of community. Based on prior psychological theories called Social Impact Theory and Self-Monitoring Theory, the research built an actual video-based social video platform environment in order to verify an alternative utilizing new means of interaction based on videos. The result shows that under video-watching settings, user feels greater positive emotion and sense of community when the screen shows other people's reaction live and when him or her self's face is shown together, compared to when they are not shown. Also, based on the ANOVA analysis, the percentage of increase in positive emotion was greater when the two conditions mentioned above were provided synchronously compared to when they were not. The result of the research is expected to yield insights about a new form of social video platform.