• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.409-413
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• 2013

21세기의 인터넷은 통신기술의 진보에 따라 정보의 전달과 상업적인 거래의 플랫폼부터 점점 사람들의 생활과 밀접하게 연관된 일상적인 공간이며, 공동체를 형성하고 자기정체성을 표현하는 사회활동 공간으로 발전하고 있다. 이와 함께, 사이버 공간에서 개인화, 상호작용, 참여, 사회성 등의 특징으로 대별되는 소셜 네트워크 서비스(Social Network Service, SNS)가 전 세계적으로 확산되고 있다. 본 연구에서는 기존문헌 연구를 바탕으로 바람직한 SNS가 갖추어야 하는 특성(시스템특성, 서비스특성, 정보특성, 감성특성)을 도출하고 이러한 특성과 서비스 채택의도간의 관련성이 있는가를 파악하고자 하였다. 또한, SNS 특성과 서비스 채택의도간의 관련성이 개인의 성향에 따라 차이가 있는가를 검토하고자 하였다. SNS 이용자를 대상으로 설문지를 의뢰하여 통계분석을 실시한 결과, SNS 특성이 서비스 채택의도에 통계적으로 유의한 수준에서 긍정적 영향을 미치고 있으며, SNS 특성과 서비스 채택의도간의 관련성이 개인적 성향에 따라 차이가 존재하고 있는 것으로 파악되었다.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.215-227
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• 2019

This study empirically explores the effects of SNS use and the individual differences as the self-esteem on the social connectedness. The study results show that the higher self-esteem, the more use the Instagram and the Kakao Talk, which implies that the individual who has the more pro-social propensity uses the more diverse SNS. In contrast, the twitter shows the opposite pattern compared to the Instagram and Kakao Talk in terms of the SNS use according to the degree of the self-esteem. It also shows that women use the more SNS and the cell phone compared to the men do, whereas men use the more Internet than women do. The study results show that the more SNS use and the higher self-esteem, the higher social connectedness. Among the diverse SNS, only the Instagram shows the statistically positive effect on the social connectedness, which implies that the more the Instagram use, the more active in off-line social meetings.

• Knowledge Management Research
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• v.25 no.2
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• pp.49-68
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• 2024

Increasing concerns regarding personal data privacy have complicated the acquisition of customer data through online marketing. This study investigates factors influencing customers' willingness to disclose information via a generative AI-based chatbot. Drawing on privacy calculus theory and regulatory focus theory, we explore how customer regulatory focus and familiarity with the generative AI-based chatbot shape disclosure intentions. Our study, involving 473 participants, reveals that low familiarity with the chatbot leads individuals with a prevention focus to perceive higher privacy risks and lower perceived usefulness compared to those with a promotion focus. However, with high familiarity, these differences diminish. Moreover, individuals with a promotion focus show a greater inclination to disclose information when familiarity with the generative AI-based chatbot is low, whereas this regulatory focus does not significantly impact disclosure intentions when familiarity is high. Perceived privacy risks mediate these relationships, underscoring the importance of understanding familiarity with the generative AI-based chatbot in facilitating personal information disclosure.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.308-321
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• 2022

The purpose of this study is to understand how self-esteem, shopping motivations, and shopping tendencies affect the clothing purchase behavior of the so-called "MZ generation," a cohort that includes both millenials and Generation Z and exerts significant influence in various areas. The results of this study can be summarized as follows: First, it was found that extrinsic purchase motivations (purchased made due to the influence of other people), trend-seeking shopping tendencies, and pleasure-seeking shopping tendencies had a positive and significant effect on personal needs among the sub-factors of clothing purchase behavior of the MZ generation. Second, it was found that the MZ real purchase shopping motivations, trend-seeking shopping tendencies, pleasure-seeking shopping tendencies, and convenience-seeking shopping tendencies had a positive and significant effect on actual needs among the sub-factors of clothing purchase behavior among the MZ generation. Third, it was found that social self-esteem, extrinsic purchase motivations, and convenience-seeking shopping tendencies had a positive and significant effect on clothing marketing strategies among the sub-factors of clothing purchase behavior of the MZ generation. On the other hand, personal self-esteem was found to negatively affect the marketing strategies of clothing purchase behavior. In other words, the expectation that the MZ generation would buy clothes in accordance with their individual preferences and beliefs was not supported by the findings of this study. It would appear that the beliefs and behaviors of the digitally savvy MZ generation are changed by the fashion trend-related information they readily access when purchasing clothing. From the above research results, it can be concluded that there many variables that influence the clothing purchase behavior of the MZ generation and it is thus necessary to consider this cohort a new consumer segment and establish marketing strategies accordingly.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.693-705
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• 2008

본 연구는 인터넷 사용동기에 근거한 온라인 시장을 세분화하고자 하였다. 표본은 미국 남서부지역의 대학생으로 총 219명의 Y세대 소비자로 구성되었다. 자료분석을 위해 군집분석(Cluster Analysis)과 분산분석(ANOVA)을 사용하였다. 군집분석결과, 온라인소비자는 3개의 세분시장 즉, "쾌락적 소비자", "실용적 소비자", "비능동적 소비자" 집단으로 분류되었다. 개인적 특성 중, 성별과 연령에 따라 세 집단별 유의한 차이가 없었으나, 능동적 소비자 집단 (쾌락적소비자, 실용적 소비자)이 비능동적 소비자 집단보다 인터넷 사용시간과 온라인쇼핑에 드는 비용을 더 많이 소비하는 것으로 나타났다. 온라인구매성향에 있어서, 전반적으로 충동구매성향이 낮지만, 세 집단별 통계적으로 유의한 차이를 보여, 쾌락적 소비자가 가장 높았고, 다음은 실용적 소비자, 비능동적 소비자 순이었다. 계획구매성향은 전반적으로 높았으며, 쾌락적 소비자와 실용적 소비자 두 집단이 비능동적 소비자보다 계획구매성향이 더 높게 나타났다. 또한, 온라인구매의도는 실용적소비자가 가장 높았으며, 다음은 쾌락적 소비자, 비능동적 소비자 순이었다. 구체적으로 상품군별 구매의도차이를 검증한결과, 실용적소비자는 "책 또는 잡지", "액세서리와 보석"에 대한 온라인 구매의도가 가장 높은 반면, 쾌락적 소비자는 "여행티켓 또는 예약", "오락 및 여가상품"에 대한 온라인 구매의도가 가장 높은 경향을 보였다. 따라서, Y세대 소비자를 위한 온라인 시장세분화에 따른 차별화된 마케팅 전략이 논의되었다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.109-118
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• 2021

Different from previous studies, this study focuses on accommodation providers' personalization services and platform convenience variables, identifying how these prior factors affect perceived value and trust in accommodation services on a shared homestay platform, and how consumers' innovation plays a role in the process. Through this, we would like to identify the mechanism of interaction between accommodation service providers and consumers mediated by the shared homestay platform and present implications for a more customer-centered platform operation strategy. This study has an extended meaning for prior research, empirically confirming that the increase in personalized offline service quality of personalized hosts in shared economic models has a positive impact on perceived value and platform trust of consumers. At the same time, we confirm that under the shared economy model, consumers' innovation propensity plays an important positive role in regulating their perceived value aspects as well as their confidence in the platform.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.116-117
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• 2003

• Informatization Policy
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• v.19 no.4
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• pp.46-62
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• 2012

This research intends to find factors to analyze users, non-users, and the relation between how many sites people use and the users' tendencies, in regards of social network services such as Facebook, Twitter, and Cyworld. The major results are as follows: firstly, the user group seems to be composed of people who are younger, have higher self-efficacy, and use smartphones, compared to the non-user group. Secondly, a single-site user group has lower motivation of 'expert search and expression' and a lower degree of personal tendency of innovation (novelty seeking and self-efficacy), compared to multiple-site user group. Thirdly, foreign SNS user groups have a higher degree of personal tendency of innovation and motivation of 'experts search and expression' than the Cyworld user group. On the other hand, the Cyworld user group seems to be affected by reference group in their use, while they have high motivation of 'connection'. In conclusion, there were significant relationships between personality and multiple SNS uses. Also, Cyworld users tended to use it for maintaining established relationships.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.9-17
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• 2020

In this paper, we proposed an SNS review analysis method based on deep learning for user tendency. The existing SNS review analysis method has a problem that does not reflect a variety of opinions on various interests because most are processed based on the highest weight. To solve this problem, the proposed method is to extract the user's personal tendency from the SNS review for food. It performs classification using the YOLOv3 model, and after performing a sentiment analysis through the BiLSTM model, it extracts various personal tendencies through a set algorithm. Experiments showed that the performance of Top-1 accuracy 88.61% and Top-5 90.13% for the YOLOv3 model, and 90.99% accuracy for the BiLSTM model. Also, it was shown that diversity of the individual tendencies in the SNS review classification through the heat map. In the future, it is expected to extract personal tendencies from various fields and be used for customized service or marketing.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.57-67
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• 2024

This study conducted to confirm the effect of college students' individual tendencies and psychological variables on the depth of chest pressure during CPR. For this, the depth of chest compression during CPR was measured after investigating individual tendencies, fatigue, performance confidence, and performance anxiety in 127 college students. Multiple linear regression analysis was performed using individual propensity and psychological variables as independent variables and chest compression depth as dependent variables to identify factors affecting chest compression depth. Pearson correlation analysis was performed to confirm the correlation between variables. As a result of the analysis, the higher the performance confidence, the deeper the chest compression depth, and the higher the performance anxiety, the lower the chest compression depth(p<0.05). The depth of chest pressure showed a positive correlation with individual tendencies, performance confidence, while it showed a negative correlation with fatigue and performance anxiety(p<0.01, p<0.05). Based on these results, it is necessary to increase performance confidence and lower performance anxiety in order to perform the correct chest compression depth. For this, various efforts such as program development, education and research are required.