• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.596-598
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• 2022

Mobile is expanding beyond just a content consumption tool to an exclusive platform role. Mobile content refers to the services of companies using mobile devices. The advantage is that it can analyze the user's behavior in real-time, increasing satisfaction according to preference. On the other hand, the disadvantage is that minors can easily make paid payments due to a convenient online payment environment. Be careful not to be exposed to provocative media without using a content unauthorized theft platform. In addition, it is necessary to find ways to increase the net function of the mobile content platform and reduce the dysfunction.

• Journal of Distribution Science
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• v.21 no.12
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• pp.47-58
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• 2023

Purpose: Post-purchase service in online platforms has created an exciting focus for consumer behavior studies. This study intends to ascertain the impact of post-purchase shipping dimensions (shipping service, tracking service, return service, and customer care) on customer satisfaction and behavior intention. The authors developed a new model considering behavioral intention as the endogenous variable integrated framework of previous studies. Research Design and Methodology: The total sample is 223 respondents, selected using purposive sampling. The data collection uses Google Forms and is analyzed using AMOS Structural Equation Modeling (SEM). Results: Our findings showed shipping, tracking, returns, and customer service positively impact customer satisfaction, and customer satisfaction mediates shipping, returns, and customer service on customer behavior intent. Furthermore, customer satisfaction does not affect the effect of tracking service on customer behavior intention. Conclusion: Our hypothesis of the relationship between the post-purchase dimension and customer satisfaction was supported. However, only two of our three mediating hypotheses are supported. The mediating effect of customer satisfaction on the post-purchase dimension on behavioral intention is insignificant, while their direct relationship was significant. It showed that, concerning tracking service, customer satisfaction is not a requirement for the customer to perform behavioral intention in an e-retail context.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.859-865
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• 2023

In a situation where service providers are increasingly focusing on content development due to the intense competition in the OTT market, interactive content that encourages active participation from viewers is garnering significant attention. In response to this trend, research on interactive content is being conducted more actively. This study aims to analyze interactive content through text mining techniques, with a specific focus on online unstructured data. The analysis includes deriving the characteristics of keywords according to their weight, examining the relationship between OTT platforms and interactive content, and tracking changes in the trends of interactive content based on objective data. To conduct this analysis, detailed techniques such as 'Word Cloud', 'Relationship Analysis', and 'Keyword Trend' are used, and the study also aims to derive meaningful implications from these analyses.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.353-360
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• 2023

This paper explores notable shifts in the restaurant startup market following the lifting of social distancing measures. Key trends identified include an escalated interest in startups, a heightened focus on the quality and diversity of food, a relative decline in the importance of delivery services, and a growing interest in specific industry sectors. The study's data collection spanned three years, from April 2021 to May 2023, encompassing the period before and after social distancing. Data were sourced from a range of online platforms, including blogs, news sites, cafes, web documents, and intellectual forums, provided by Naver, Daum, and Google. From this collected data, the top 50 words were identified through a refinement process. The analysis was structured around the social distancing application period, comparing data from April 2021 to April 2022 with data from May 2022 to May 2023. These observed trend changes provide founders with valuable insights to seize new market opportunities and formulate effective startup strategies. In summary, We offer crucial insights for founders, enabling them to comprehend the evolving dynamics in food service startups and to adapt their strategies to the current market environment.

• The Journal of Information Systems
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• v.33 no.1
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• pp.133-157
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• 2024

Purpose The purpose of this study is to identify the utility and sacrifice factors of paid membership in domestic e-commerce based on the value-based acceptance model, and to determine its impact on perceived value and intention to continue using e-commerce. Design/methodology/approach This study confirmed the perceived benefits and sacrifice factors of e-commerce paid membership through in-depth interviews, and verified the research model through an online survey. Findings The study identifies seven perceived benefit factors(differentiation, enjoyment, sharing, point benefit, discount benefit, contents benefit, and delivery benefit) and three perceived sacrifice factors(fee, opportunity loss, complexity). Structural model verification reveals that discount benefit, delivery benefit, and opportunity loss significantly impact the perceived value in Coupang Rocket Wow, while discount benefit, point benefit, and fee significantly influence the perceived value in Naver Plus membership. The perceived value of both memberships positively influences the intention to continue using the respective e-commerce platforms. A comparison highlights a significant difference in the impact of opportunity loss on perceived value between Coupang Rocket Wow and Naver Plus memberships.

• Asia pacific journal of information systems
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• v.27 no.3
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• pp.139-155
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• 2017

As social media are increasingly being used as a marketing platform, electronic word-of-mouth (eWOM) has also become popular in both research and business areas. However, although many studies have examined the effect of eWOM, the products investigated in most of these studies, such as films or books, are not likely to be consumed daily. Therefore, in this study, we analyze the effect of eWOM on low involvement products, which are inexpensive and enough for everyday spending. Given that low involvement products have unique characteristics such as low price, we conduct an experiment using a real sales dataset related to soft drinks. We also analyze the effect of eWOM in two social media platforms. We find that eWOM influences the sales of low involvement products, but such influence is dependent on the characteristic of the social media platform. Based on these results, we suggest that marketers and retailers selling low involvement products must consider eWOM, such as reviews, and differentiate their strategies based on their focused social media platform.

• Journal of Information Technology Services
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• v.23 no.2
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• pp.31-47
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• 2024

With the spread of COVID-19, non-face-to-face social exchanges around the world have increased, leading to a rise in the demand for telework. The recent advancement in technology has facilitated the emergence of metaverse platforms, with telework utilizing the metaverse gaining significant popularity. Such metaverse telework is signaling innovative changes in the business environment, yet sufficient research has not been conducted. This study analyzed the factors affecting the perceived work productivity, job performance, and job satisfaction of metaverse telework users. To achieve this, an online survey was conducted, focusing on individual factors (self-management tactics, sense of belonging, social presence, IT complexity) and situational factors (perceived workload, organizational support, metaverse telework environment, and flexible work arrangements). Out of the total responses, 358 valid questionnaires were used for the analysis, excluding any insincere responses. The SPSS 27.0 software was employed to verify the research hypotheses. This study proposed effective strategies to enhance the efficiency of telework within the metaverse.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.9
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• pp.2564-2588
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• 2024

Due to COVID19 pandemic, most of educational institutions and schools changed the traditional way of teaching to online teaching and learning using well-known Learning Management Systems (LMS) such as Moodle, Canvas, Blackboard, etc. Accordingly, LMS started to generate a large data related to students' characteristics and achievements and other course-related information. This makes it difficult to teachers to monitor students' behaviour and performance. Therefore, a need to support teachers with a tool alerting student who might be in risk based on their recorded activities and achievements in adopted LMS in the school. This paper focuses on the benefits of using recorded data in LMS platforms, specifically Moodle, to predict students' performance by analysing their behavioural data and engagement activities using data mining techniques. As part of the overall process, this study encountered the task of extracting and selecting relevant data features for predicting performance, along with designing the framework and choosing appropriate machine learning techniques. The collected data underwent pre-processing operations to remove random partitions, empty values, duplicates, and code the data. Different machine learning techniques, including k-NN, TREE, Ensembled Tree, SVM, and MLPNNs were applied to the processed data. The results showed that the MLPNNs technique outperformed other classification techniques, achieving a classification accuracy of 93%, while SVM and k-NN achieved 90% and 87% respectively. This indicates the possibility for future research to investigate incorporating other neural network methods for categorizing students using data from LMS.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.346-354
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• 2024

Time-limited promotions have become a popular strategy across various product categories including fashion mobile platforms. While consumer feel content and satisfied when they get this , those who miss the opportunity may develop negative feelings and tend to give up on additional price discounts. This phenomenon, known as inaction inertia, has been a crucial subject of consumer behavior research. However, the underlying mechanism within the context of fashion consumption has yet to be discussed. This study investigated whether consumers show inaction inertia when purchasing fashion products and whether involvement moderates product purchases in inaction inertia situations. Hypotheses were tested through an online survey with 336 Korean participants based on fictitious purchase scenarios. In the results, the hypothesized negative influence of inaction inertia on purchase intention for fashion products was statistically confirmed. Furthermore, the hypothesized moderation effect of involvement in the mechanism was confirmed - only within the high (vs. low) age group. To explain, the negative effect of inaction inertia significantly decreases among older consumers of high (vs. low) involvement levels. We contributed to the related academic flow by performing an experimental study on inaction inertia, which had relatively little empirical research compared to the influence confirmed in practice so far. We also provided a novel idea by demonstrating that the moderating effect of product involvement differs depending on the age group.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.197-218
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• 2019

In addition to economic growth and national income increase, China is also experiencing rapid growth in consumption of cosmetics. About 67% of the total trade volume of Chinese cosmetics is made by e-commerce and especially K-Beauty products, which are Korean cosmetics are very popular. According to previous studies, 80% of consumer goods such as cosmetics are affected by the word of mouth information, searching the product information before purchase. Mostly, consumers acquire information related to cosmetics through comments made by other consumers on SNS such as SINA Weibo and Wechat, and recently they also use information about beauty related video channels. Most of the previous online word-of-mouth researches were mainly focused on media itself such as Facebook, Twitter, and blogs. However, the informational characteristics and the expression forms are also diverse. Typical types are text, picture, and video. This study focused on these types. We analyze the unstructured data of SINA Weibo, the SNS representative platform of China, and Meipai, the video platform, and analyze the impact of K-Beauty brand sales by dividing online word-of-mouth information with quantity and direction information. We analyzed about 330,000 data from Meipai, and 110,000 data from SINA Weibo and analyzed the basic properties of cosmetics. As a result of analysis, the amount of online word-of-mouth information has a positive effect on the sales of cosmetics irrespective of the type of media. However, the online videos showed higher impacts than the pictures and texts. Therefore, it is more effective for companies to carry out advertising and promotional activities in parallel with the existing SNS as well as video related information. It is understood that it is important to generate the frequency of exposure irrespective of media type. The positiveness of the video media was significant but the positiveness of the picture and text media was not significant. Due to the nature of information types, the amount of information in video media is more than that in text-oriented media, and video-related channels are emerging all over the world. In particular, China has made a number of video platforms in recent years and has enjoyed popularity among teenagers and thirties. As a result, existing SNS users are being dispersed to video media. We also analyzed the effect of online type of information on the online cosmetics sales by dividing the product type of cosmetics into basic cosmetics and color cosmetics. As a result, basic cosmetics had a positive effect on the sales according to the number of online videos and it was affected by the negative information of the videos. In the case of basic cosmetics, effects or characteristics do not appear immediately like color cosmetics, so information such as changes after use is often transmitted over a period of time. Therefore, it is important for companies to move more quickly to issues generated from video media. Color cosmetics are largely influenced by negative oral statements and sensitive to picture and text-oriented media. Information such as picture and text has the advantage and disadvantage that the process of making it can be made easier than video. Therefore, complaints and opinions are generally expressed in SNS quickly and immediately. Finally, we analyzed how product diversity affects sales according to online word of mouth information type. As a result of the analysis, it can be confirmed that when a variety of products are introduced in a video channel, they have a positive effect on online cosmetics sales. The significance of this study in the theoretical aspect is that, as in the previous studies, online sales have basically proved that K-Beauty cosmetics are also influenced by word-of-mouth. However this study focused on media types and both media have a positive impact on sales, as in previous studies, but it has been proven that video is more informative and influencing than text, depending on media abundance. In addition, according to the existing research on information direction, it is said that the negative influence has more influence, but in the basic study, the correlation is not significant, but the effect of negation in the case of color cosmetics is large. In the case of temporal fashion products such as color cosmetics, fast oral effect is influenced. In practical terms, it is expected that it will be helpful to use advertising strategies on the sales and advertising strategy of K-Beauty cosmetics in China by distinguishing basic and color cosmetics. In addition, it can be said that it recognized the importance of a video advertising strategy such as YouTube and one-person media. The results of this study can be used as basic data for analyzing the big data in understanding the Chinese cosmetics market and establishing appropriate strategies and marketing utilization of related companies.