• The Journal of Industrial Distribution & Business
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• v.15 no.9
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• pp.29-35
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• 2024

Purpose: With the rapid development of the e-commerce industry, online e-commerce festivals represented by the "Double Eleven Online Shopping Festival" and "618 Mid-Year Promotion" in China play a unique role in consumer activities and have an important impact on various consumers. As aborigines in the Internet era, college students have huge consumption potential. In order to meet the pursuit of a better life for college students and achieve impressive business results, e-commerce platforms will launch various e-commerce festivals. Research design, data and methodology: This article constructs a research model based on the stimulus organism response model and clue utilization theory, proposes relevant hypotheses, and uses SPSS 27.0 to test the proposed hypotheses. From the perspectives of promotion level, timeliness, and variety of categories, this study aims to verify the impact of e-commerce festivals on college students' purchasing intentions and draw relevant conclusions. Results: Empirical verification has shown that the promotion level, timeliness, variety of categories, and holiday trust of e-commerce festivals have a significant positive impact on the e-commerce festival trust of college students as a consumer group. Conclusions: The conclusion on college students' purchasing intentions not only has guiding significance for the formulation of marketing strategies for enterprises, but also helps to understand the current behavior patterns of young consumers.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.191-200
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• 2024

The rapid advancement of computer technology and artificial intelligence has significantly impacted software education in Korea. Consequently, the 2022 revised curriculum demands personalized education. However, implementing personalized education in schools is challenging. This study aims to facilitate personalized education by utilizing incorrect codes and error information submitted by beginners to construct prompts. And the difference in the frequency of correct feedback generated by the generative AI model and the prompts was examined. The results indicated that providing appropriate error information in the prompts yields better performance than relying solely on the excellence of the generative AI model itself. Through this research, we hope to establish a foundation for the realization of personalized education in programming education in Korea.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.20-31
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• 2021

The spread of non-face-to-face culture due to COVID-19 led to innovation in untact services and the increase of non-face-to-face communication through video conference platforms. However, it is difficult to identify nonverbal expressions in synchronous online communication. Moreover, it is hard to interact with people by making eye contact. Despite the positive effects of eye contact, including such as sharing emotions and helping build intimacy, no research has empirically verified the effectiveness of eye contact in synchronous online communication. Thus, the study verified the effectiveness of eye contact in synchronous online communication. Depending on the context of the communication and whether(or not) there is eye contact, six video treatments were used to measure four dependent variables-Continuance Intention to Use, Performance Expectancy, Interactivity, and Personal Connection. The study shows that the communication with eye contact in all contexts was rated higher than the one without eye contact in all measurement variables. This study will help to provide a better user experience in synchronous online communication by verifying the effectiveness of eye contact in synchronous online communication and proposing the need of technology and the direction of the technological development.

• Korean Association of Arts Management
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• no.59
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• pp.101-141
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• 2021

Recently the concerns on online ticket resale have been globally soared. Numerous countries have dealt with problems about online ticket tout and resale platforms in various ways in spite of differences of scope and method on restrictions. However, in contrast with the worldwide concerns and actions, Korea has been relatively slow to take any action against regulating online ticket resale issues, and any legislation has not been made. At the end of 2020, a revised Performance Act was passed and enforced from June, 2021. With the enforcement of the bill, this study aims to provide an exploratory analysis to present current situation related to online secondary ticket resale policy in Korea. It examined how US and England have coped with legislation for online ticket resale. And then it attempted to illuminate the current situation of legislation and restrictions on online secondary ticket market in Korea and examined the effectiveness of the revised Act. Finally, this study suggested that there should be prompt consideration and actions to carry out related policies for establishing stable market ecosystem and providing fair opportunities to consumers.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.171-189
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• 2022

Online reviews play an essential role in the consumer's purchasing decision-making process, and thus, providing helpful and reliable reviews is essential to consumers. Previous online review helpfulness prediction studies mainly predicted review helpfulness based on the consistency of text and rating information of online reviews. However, there is a limitation in that representation capacity or review text and rating interaction. We propose a CNN-RHP model that effectively learns the interaction between review text and rating information to improve the limitations of previous studies. Multi-channel CNNs were applied to extract the semantic representation of the review text. We also converted rating into independent high-dimensional embedding vectors representing the same dimension as the text vector. The consistency between the review text and the rating information is learned based on element-wise operations between the review text and the star rating vector. To evaluate the performance of the proposed CNN-RHP model in this study, we used online reviews collected from Amazom.com. Experimental results show that the CNN-RHP model indicates excellent performance compared to several benchmark models. The results of this study can provide practical implications when providing services related to review helpfulness on online e-commerce platforms.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.131-143
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• 2021

In this study, the factors influencing the satisfaction of the online platform musical viewing method were investigated, and the effect of the satisfaction factors on the recommendation intention and rewatching intention of the online platform viewing method for musicals was investigated. In addition, the effect of the survey subjects' degree of involvement to musicals between the satisfaction of the online platform-based musical viewing method and recommendation intention, and rewatching intention was investigated. Satisfaction factors of online platform musicals, which are independent variables, were classified into image quality, convenience, economy, and interactivity, and dependent variables were classified into recommendation intention and rewatching intention of online platform musicals, and moderator variable was set to degree of involvement to musicals, and a total of 20 hypotheses were established. An online survey was conducted on 1,454 audiences who had experience watching musicals through the online platform from August 28 to September 7, 2021, and a total of 1,418 answers were used as valid samples. As a result of the analysis, the factors that make up the satisfaction of online platform musicals appeared in the order of convenience, video quality, economics, and interactivity. It was found that the satisfaction level of watching online platform musicals had a positive effect on the intention to recommend and rewatching online platform musicals in the path of all satisfaction factors. It was found that the moderating effect of the audience's involvement in musicals between online platform musical viewing satisfaction and recommendation intention and rewatching intention had a significant effect only between image quality and recommendation intention. It shows that audiences with high involvement in musicals have intention to recommend only when they are satisfied with the video quality of online platform musicals. Particularly important point is that the convenience factor was found to have the greatest influence on the satisfaction of online platform musical viewing method, but the image quality factor was found to have the greatest influence on the recommendation intention and rewatching intention of online platform musicals.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.133-145
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• 2018

This study was investigated the necessity and possibility of using block-chain technology in online used-goods trading platform. Current online used-goods trading platforms operate a safety trading system, but it is difficult to utilize due to relatively high commission rate. As a result, people mainly use the method of meeting and purchasing in person, which is a relatively costly method. This study discusses how to build a platform to solve or mitigate problems such as privacy, information distortion and omission, fraud, etc. In the platform proposed in this study, it is possible to solve the major fraud and personal information protection problems that may occur in the transaction proceeding by appropriately reflecting the types and characteristics of the block-chain technology. In future work, we will discuss legal framework and technology development plan to apply the proposed platform in this study.

• The Research Journal of the Costume Culture
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• v.28 no.3
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• pp.285-298
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• 2020

This study aimed at examining fashion consumers' awareness during the COVID-19 pandemic. Big data analysis methods, such as text mining, social network analysis, and regression analysis, were applied to user posts about fashion on Korean portal websites and social media during COVID-19. R 3.4.4, UCINET 6, and SPSS 25.0 software were used to analyze the data. The results were as follows. In researching the popular fashion-related topics during COVID-19, the prevention of infection and prophylaxis were significant concerns in the early stage (Jan 1 to Jan 31, 2020), and changed to online channels and online fashion platforms. Then, various topics and fashion keywords appeared with COVID-19-related keywords afterwards. Fashion-related subjects concerned prophylaxis, home life, digital and beauty products, online channels, and fashion consumption. In comparing fashion consumers' awareness during COVID-19 with SARS and MERS, "face masks" was the common keyword for all three illnesses; yet, the prevention of infection was a major consumer concern in fashion-related subjects during COVD-19 only. As COVD-19 cases increased, the search volume for face masks, shoes, and home clothes also increased. Consumer awareness about face masks shifted from blocking yellow dust and micro-dust to the sociocultural significance and short supply. Keywords related to performance turned out to be the major awareness as to shoes, and home clothes were repurposed with an expanded range of use.

• Research in Community and Public Health Nursing
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• v.30 no.3
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• pp.295-306
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• 2019

Purpose: There has been a growing recognition that person-centered care enhances the quality of life of nursing home residents with dementia. This study was conducted to develop a person-centered dementia care online education program for direct care staff in long-term care facilities. Methods: Delphi method with expert group was used to validate contents. We developed 61 draft items based on literature review. Twenty experts participated in consecutive three round surveys including 5-point Likert scale questions and open-ended questions. Based on experts' opinions, the content validity ratio for content validity and the coefficient of variation for stability were calculated. Results: Three-round Delphi surveys and additional feedback from the expert panel established a consensus of core contents: 1) dementia (7 categories), 2) person-centered care (6 categories), 3) communication (8 categories), and 4) behavioral and psychological symptoms of dementia (6 categories). Specific sub-categories in each category were differentiated according to the job qualifications (65 sub-categories for registered nurses, 64 sub-categories for nursing aids, and 41 sub-categories for personal care workers). Conclusion: This delphi study identified person-centered dementia education curricula, in which the person-centered approach should be a key policy priority in Korean long-term care system. Now it is urgently needed to develop education programs utilizing online platforms that enable efficient and continuous learning for long-term care staff, which can contribute to behavior changes in the person-centered dementia care approach and improvement of care quality in long-term care facilities.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.23-28
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• 2022

Today, the online market has grown rapidly due to the development of digital platforms and the pandemic situation. Therefore, unlike the existing offline market, the distinctiveness of the online market has prompted users to check online reviews. It has been established that reviews play a significant part in influencing the user's purchase intention through precedents of several studies. However, the current review writing method makes it difficult for other users to understand the writer's emotions by expressing them through elements like tone and words. If the writer also wanted to emphasize something, it was very cumbersome to thicken the parts or change the colors to reflect their emotions. Therefore, in this paper, we propose a technique to check the user's emotions through facial expression recognition using a camera, to automatically set colors for each emotion using research on existing emotions and colors, and give colors based on the user's intention.