• Smart Media Journal
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• v.9 no.4
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• pp.66-72
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• 2020

As the online education market expands, educational contents with various presentation methods are being developed and released. In addition, it is imperative to develop content that reflects the usability and user environment of users who use this educational content. However, for qualitative growth of contents that will support quantitative expansion of markets, existing model analysis methods are urgently needed at a time when development direction of newly developed contents is secured. In this process of content development, a typical model for setting development goals is needed, as the rules of the prototype affect the entire development process and the final development outcome. It can also provide a positive benefit that screens the issue of performance dualization between processes due to the absence of communication between a single entity or between a number of entities. In the case of AR-based educational content which is effective to secure data necessary for development by securing samples of similar categories because there are not enough ready-made samples released. Therefore, a big data statistical analysis service is needed that can easily collect data and make decisions using big data. In this paper, we would like to design analysis services that enable the selection and detection of intuitive multidimensional factors and attributes, and propose big data-based statistical analysis services that can assist cooperative activities within an organization or among many companies.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.15-28
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• 2022

Due to recent expansion of online market such as clothing, utilizing customer review has become a major marketing measure. User review has been used as a tool of analyzing sentiment of customers. Sentiment analysis can be largely classified with machine learning-based and lexicon-based method. Machine learning-based method is a learning classification model referring review and labels. As research of sentiment analysis has been developed, multi-modal models learned by images and video data in reviews has been studied. Characteristics of words in reviews are differentiated depending on products' and customers' categories. In this paper, sentiment is analyzed via considering review data and metadata of products and users. Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), Self Attention-based Multi-head Attention models and Bidirectional Encoder Representation from Transformer (BERT) are used in this study. Same Multi-Layer Perceptron (MLP) model is used upon every products information. This paper suggests a multi-modal sentiment analysis model that simultaneously considers user reviews and product meta-information.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.145-158
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• 2022

Although the rapid development of technology has led to a swift increase in the number of companies using social networking services (SNS), it will not be accurate to say that they have fully "utilized" the functionality of SNS simply by "using" these services. Therefore, this study aims to increase the convenience of using digital technology and help SNS users in extending the functionality of these services beyond their regular use and thus, revitalize the field by increasing the service providers' efficiency. In this study, the Facebook usage status of a graduate school newspaper from an undisclosed university in Seoul was analyzed from February to December, 2021 using the participant observation method. The results of the study revealed the following: First, it is necessary to diversify the subject and type of content to ensure a continuous supply of quality content; Second, there is a need to examine the user categories and characteristics by utilizing SNS functionalities such as, the target reports and insights, and based on this, supply content that meets the needs of the users; Third, to resolve the problem of low levels of user participation and an inactive Facebook account, it is necessary to mobilize new marketing tools like online events. The significance of this study is that it confronts the real problems faced by some companies that cannot keep pace with market changes in a digital environment, identifies failure factors, and proposes solutions to them.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.173-180
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• 2020

According to KISA, many people play smartphone games. stress relieving, time is the reason to beat. Attempts to combine mobile games and education in the Korean game market are continuing. Studies have shown that using commercial games for education can be effective. Also, researches for activation educational games are increasing. Creating educational games requires a lot of time and money. Due to the nature of mobile games, the service is often terminated without updating. If you are able to acquire a naturally educational part while playing mobile games, you will see the effect of one pair of fun and education, both at once. We analyzed the education factors of the game with 'Real Farm' which is a simulation farm game. We focused on analyzing information acquisition and utilization part through indirect experience which is characteristic of simulation and examined educational factors based on design elements of educational game. This can signal the positive aspects of the game and the educational content of existing games. If you use smartphones as a pedagogy, you can expect a positive perception of games and an increase in the average life expectancy of mobile games.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.267-274
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• 2021

This study was designed to investigate the variables affecting Chinese university students' selection factors for Korean drama. Participants in this study were 379 university students from Hunan Province, China. An online survey program(www.wjx.cn) was used to collect data for this study. The tool of this study was 'a tool for measuring the selection factors of Korean Dramas', and it was composed of two areas: completeness of work and recognition. The results of this study are as follows: First, the completeness of work factor are higher than the recognition of Korean dramas by Chinese university students. Second, there are differences in the factors for selection Korean dramas according to the gender, grade, age, major, and Korean Drama watching frequency of Chinese university students. Third, when Chinese university students select Korean Dramas, their preferred genre influences the selection factors for the level of work completion and recognition. Finally, it was discussed according to the results of this study, and suggested for the qualitative re-leap of Korean Dramas in the global era. In order to expand the Korean Wave market in China, cultural contents must be developed to embrace the sentiment of Chinese university students, a propagation strategy that reflects the latest consumption trends of Chinese youth must be established, and the sophisticated visual beauty of Korean Dramas must be realized.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.41-55
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• 2021

AI voice speaker has played an important role in forming an early market and development for AI-based goods and service with growing attention from many people. In this context, this research examined factors affecting continuous intention of AI voice speaker based on the integrated adoption model, which combined two factors of perceived playfulness and innovation resistance with extended technology acceptance model. It was also examined whether three perceived anthropomorphic features(i.e., perceived rational support, perceived intimacy, perceived cognitive openness) have influences on continuous intention of AI voice speaker. The data was collected by an online-survey and were responses of those who are in their 20s and 30s and have experienced in using AI voice speaker. They were analyzed by using SEM(Structural Equation Modeling). The results showed that all of perceived ease of use, perceived usefulness, perceived playfulness and innovation resistance had significant influences on continuous intention of AI voice speaker. In addition, all of perceived rational support, perceived intimacy and perceived cognitive openness as perceived anthropomorphic features had significant influences on perceived ease of use, perceived usefulness and perceived playfulness. The implications of found results in this research was also discussed.

• The Korean Journal of Franchise Management
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• v.13 no.2
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• pp.33-51
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• 2022

Purpose: The online market is growing the most in history due to the expansion of non-face-to-face commerce. In addition, as consumers' interest in health, food safety, and environment increases, interest in and consumption of eco-friendly agricultural products is also increasing. Therefore, in the case of a specialty store that sells eco-friendly organic agricultural products, a marketing strategy that can increase customer loyalty by reflecting these consumer needs is necessary. In this study, the store attributes of eco-friendly food stores are classified into location, assortment, price, quality, and employee service, and the effect of each store attribute on utilitarian and hedonic value is investigated. Research design, data, and methodology: The subjects of this study were customers who visited an eco-friendly food store. Of the 511 survey responses, 311 were used for statistical verification, excluding 200 who had not visited within the last 3 months. For statistical analysis, Smart PLS 3.0 was used, and after checking the validity and reliability of the items, hypothesis testing was performed. Result: As a result of the study, it was found that assortment, quality, and employee service among store attributes had a positive (+) effect on utilitarian and hedonic value. Second, location had no significant effect on utilitarian and hedonic value. Third, price did not appear to have a positive (+) effect on the utilitarian value, and it was found to have a positive (+) effect on the hedonic value. Fourth, It was investigated whether the presence or absence of delivery service had an effect on store attributes between utilitarian and hedonic value, and it was found that there was a significant effect between employee service and hedonic value. Conclusions: Among eco-friendly food store environment management will be required in order to provide food that meets the tastes and needs of consumers by diversifying the taste, standard, and quality grade of food, and to maintain or improve the quality. In order to unlike other stores, eco-friendly food stores have high price resistance from the point of view of consumers, so it is necessary to diversify promotional media such as YouTube and SNS to raise awareness of eco-friendly organic food.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.709-714
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• 2022

As the delivery service market continued to increase, the number of delivery workers also increased, but the corresponding safety education is insufficient. Therefore, this study is going to explore the importance of safety education by grasping the relationship between safety awareness, accident experience, and safety behavior of delivery workers. With the help of the delivery workers' online community site, this study conducted a survey on the status of delivery workers' safety education for a total of 114 delivery workers. As a result of the association analysis, more than half of the general agency workers said they did not receive safety training, and delivery workers who completed safety training were 2.36 times more frequent than delivery workers who did not complete safety training. In addition, through correlation analysis and simple regression analysis, safety education had a positive effect on safety perception of delivery workers, and there was a significant correlation between safety perception and safety behavior. Through these, the relationship between safety education and safety awareness, safety behavior, and the number of accident experiences was noticed, and it was concluded that safety education should be mandatory on all delivery platforms to prevent accidents.

• Asia Marketing Journal
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• v.21 no.4
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• pp.25-43
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• 2020

Although ready meals have recently increased their market share in the Korean food industry, a literature review found that the use of ready meals triggers feelings of guilt in homemakers. Such guilt arises as a result of several factors apparently related to consumers' health. Consequently, levels of guilt might be expected to vary depending on consumers' perceived health locus. The present study aims to examine (a) how health locus affects guilty feelings about ready-meal consumption, (b) how the effect varies in relation to the consumption of different types of ready meal, and (c) the relationship between consumers' guilty feelings and willingness to buy ready meals. Three dimensions of health locus of control (HLC) -internal HLC (IHLC), powerful-others HLC (PHLC), and chance HLC (CHLC)- were presumed to influence consumers' feelings of guilt in association with ready meals. Data were collected via an online survey, and participants were randomly assigned to either of two groups: one group was instructed to heat meals in a microwave (ready-to-heat [RTH] group, n=104) and the other cooked using a pan with additional ingredients (ready-to-cook [RTC] group, n=101). The study found that guilty feelings about consuming RTH meals increased in line with increased external HLCs, namely, PHLC and CHLC. For the RTC group, guilt increased in line with increased PHLC. IHLC had no significant effect on guilty feelings in either group. Willingness to buy ready meals decreased for both groups as consumers' feelings of guilt increased. Even RTC meals, which require more time and energy in food preparation, did not reduce guilty feelings among consumers with higher PHLC. RTC meals are preferable for consumers with higher CHLC, since their sense of greater involvement in the cooking process alleviates their feelings of guilt. Cooking with already prepared and uncooked ingredients brought fun and joy, both for the participants and their significant others. This interpretation may be developed into a strategic plan by ready-meal producers to strengthen their marketing strategy.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.75-91
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• 2023

As the business-to-customer (B2C) online market expands after the COVID-19 pandemic, the logistics industry has been constructing automated warehouses to handle multi-product, low-volume logistics. When constructing a logistics automation warehouse, it is crucial to validate that the facility's performance and operational logic are designed to meet the required throughput of the automated warehouse from the system design phase. This study proposes simulation-based validation and optimal alternatives for an H logistics automation warehouse in Iksan, Jeollabuk-do. Firstly, we focused on the box supply and packing processes, which are related to the release process, among the entire logistic processes. Then, we analyzed the potential bottlenecks in the target process and designed and implemented a discrete-event simulation model based on the analysis results. The simulation experiments showed that the facility parameters and operational logic identified in the system design phase did not satisfy the performance requirements of the entire automated warehouse. Additional experiments were conducted to suggest alternatives to meet the system performance requirements by changing the facility parameters and operational logic. We expect that the proposed study will be utilized in the future, not only in the system design phase but also in the system construction phase, for verification purposes to ensure that the construction proceeds according to the design.