• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.305-313
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• 2020

In this paper, We Propose a ways how franchise service of delivery app should be made by analyzing the effect of delivery app usage properties of food service franchisee on satisfaction, business performance and intention of reusing, and suggest support plan of delivery app for franchise by food service franchisee. This study conducted survey on 212 franchises that have experience using delivery app among food service franchisees. To verify the hypothesis of the study, single regression and multiple regression analysis were conducted for verifying the relationship between variables. Key results of the study are as follows. First, it was found that the delivery app usage properties of food service franchisee had a positive relationship with satisfaction. Second, it was found that the delivery app usage properties of food service franchisee had positive relationship with business performance. Third, the satisfaction was found to affect business performance. Fourth, it was found that the satisfaction didn't affect the intention of reusing, and business performance was found to have a positive effect on the intention of reusing. It is necessary to increase the satisfaction of using of franchises through continuous management and reasonable pricing policies, and the headquarter of franchisee should be able to contribute to energetic sales of franchises through effective cooperation with delivery app companies.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.149-156
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• 2021

This study started from the question of what we think about big data as the term "big data" was used and discussed in our daily lives in the era of the 4th industrial revolution. For the analysis, the final 30 Q samples were selected based on prior research related to big data, and 23 respondents were secured for Q analysis, and the following results were derived. First, the explanatory power of each type was 34.30% for , 8.03% for , 7.21% for , and 6.24% for , showing a total of 55.69%. Second, the Q sample emphasized by respondents by each type shows various occupational distributions in , and for 'big data', it is 'digital' and future'. So they were named 「Digital Type」. In , the distribution of 'social workers' was high, and for 'big data', 'future', 'collaboration', 'welfare', 'local residents', and 'defense' were emphasized. It was named 「welfare type」. In , the job distribution of respondents appeared evenly, and it was named as 「Convergence Type」. Because it emphasized statements such as 'convergence', 'digital', 'future', and 'sports'. is composed of association officials, sports instructors, and graduate students, and was named 「Artificial Intelligence Type」, because it emphasizes 'artificial intelligence', 'new paradigm', 'network', and 'sports'. In the age of knowledge industrialization and knowledge informatization that followed industrialization and informatization, how to process and utilize the numerous data accumulated over the years is an important task. Right now, in sports, more than anything else, it is necessary to continuously seek ways to utilize and activate accumulated big data.

• Economic and Environmental Geology
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• v.54 no.6
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• pp.659-670
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• 2021

In this study, we analyzed changes in policies after the Korean New Deal Policy in 2020, metaverse and 6th generation communication technology. In the research and development of geoscience and mineral resources, we emphasized on the connection between smart cities and digital twins by focusing on the linkage of the real world and geo-information. Further, we examined trends in developing digital twins after the Korean New Deal Policy in 2020 that focused on three-dimensional visualization technology, the first stage in implementing digital twins, and real-time monitoring technology of underground information, the second implementing stage. As results of this study, we emphasized on the efforts to provide accurate underground information based on geology, groundwater and geo-environment and to analyze and predict near-real-time levels of available underground information to the industry, local governments and the central governments. Research and development that integrate the fields of geology, environment, and information is required to lead national digital twin policies and smart city policies owing to the acceleration of the digital economy in Korea and globally during the post-Corona era.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.246-260
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• 2022

This study assumed that chef's shared leadership perceived by chefs in hotel culinary department affects self-efficacy, group efficacy, and job performance. Based on this, the causal relationship between each variable was analyzed through leadership sharing. And based on the results, we tried to suggest a manpower management plan suitable for the hotel culinary department and provide basic data. The subjects of this study were chefs working in 8 luxury hotels in Seoul and Busan. A total of 302 questionnaires were analyzed. For analysis, SPSS 23.0 and AMOS 23.0 statistical packages were used. As a result of empirical analysis, it was found that it had a positive effect on self-efficacy and job performance improvement of hotel cooks. On the other hand, it was found that the chef's shared leadership did not affect job performance through collective efficacy and collective efficacy. In conclusion, it was suggested that a differentiated and efficient manpower management plan is needed to enhance job performance by enhancing shared leadership and self-efficacy for cooks, where collaboration and division of labor are important, and individual ability is important due to the nature of their work.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.21-33
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• 2022

Recently, the recommender system has been widely used in various fields such as movies, music, online shopping, and social media, and in the meantime, the recommender model has been developed from correlation analysis through the Apriori model, which can be said to be the first-generation model in the recommender system field. In 2005, many models have been proposed, including deep learning-based models, which are receiving a lot of attention within the recommender model. The recommender model can be classified into a collaborative filtering method, a content-based method, and a hybrid method that uses these two methods integrally. However, these basic methods are gradually losing their status as methodologies in the field as they fail to adapt to internal and external changing factors such as the rapidly changing user-item interaction and the development of big data. On the other hand, the importance of deep learning methodologies in recommender systems is increasing because of its advantages such as nonlinear transformation, representation learning, sequence modeling, and flexibility. In this paper, among deep learning methodologies, RNN, CNN, and GAN-based models suitable for sequential modeling that can accurately and flexibly analyze user-item interactions are classified, compared, and analyzed.

• 지역과문화
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• v.7 no.4
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• pp.49-68
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• 2020

The study of complementary medicine for the mental illness of modern people has been made up of academic fields. Psychotherapy, art therapy, literary therapy and dance therapy are among them, but these non-integrated studies are extremely limited to apply to reality. Collaboration with the medical community seeking supplementary measures after drug treatment is also a problem, and it is even more difficult to institutionalize them in a policy way. In response, the study suggested a shift to a space-oriented treatment paradigm by studying the value of space that most treatment programs value. Based on the theory of integrated literature therapy developed in Germany and introduced into Korea, the Tetra system was applied to one of Korea's cultural heritages. And I presented a sample of how to program the characteristics of the old house space. Kwon Seong-baek old house in Andong was considered a representative space and analyzed. As a similar case, we looked at the Healian Sun Village, the Knife Village in Germany, and the Temple Stay of Bongeunsa Temple to find out the actual conditions of space utilization. Accordingly, space treatment programs such as walking, writing poems, reading poems, and writing letters were presented by analyzing old houses with a Tetra system. This is significant as the first study to incorporate spatialization and placeability into the program.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.327-351
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• 2023

This paper aims to derive success factors that successfully lead an artificial intelligence (AI) project and prioritize importance. To this end, we first reviewed prior related studies to select success factors and finally derived 17 factors through expert interviews. Then, we developed a hierarchical model based on the TOE framework. With a hierarchical model, a survey was conducted on experts from AI-using companies and experts from supplier companies that support AI advice and technologies, platforms, and applications and analyzed using AHP methods. As a result of the analysis, organizational and technical factors are more important than environmental factors, but organizational factors are a little more critical. Among the organizational factors, strategic/clear business needs, AI implementation/utilization capabilities, and collaboration/communication between departments were the most important. Among the technical factors, sufficient amount and quality of data for AI learning were derived as the most important factors, followed by IT infrastructure/compatibility. Regarding environmental factors, customer preparation and support for the direct use of AI were essential. Looking at the importance of each 17 individual factors, data availability and quality (0.2245) were the most important, followed by strategy/clear business needs (0.1076) and customer readiness/support (0.0763). These results can guide successful implementation and development for companies considering or implementing AI adoption, service providers supporting AI adoption, and government policymakers seeking to foster the AI industry. In addition, they are expected to contribute to researchers who aim to study AI success models.

• Journal of Industrial Convergence
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• v.22 no.7
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• pp.31-41
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• 2024

The purpose of this study is to analyze how to utilize sports cooperatives that can be a pleasure to work and add living expenses through sports as a model for creating jobs for the elderly. To this end, after reviewing the literature and expert survey using Delphi techiques for 9 sports experts and 4 cooperative experts, the following conclusions were drawn analyzing with Excel, SPSS V28, and AHP analysis Dress V 1.7 program First, as a model for creating jobs for the elderly, the economic factors, social factors, institutional factors, and middle categories 10 factors and sub-categories 36 factors were derived from the major categories for the utilization of sports cooperatives. Second, through senior sports cooperatives, economic activities generate income, and volunteer and talent-sharing activities provide opportunities for physical and mental health and social participation. And, as corporations, they can expand profit-making projects through government and local government collaboration and partnership projects, contributing to solving issues related to the elderly. In the future, follow-up studies are needed to explore the needs, satisfaction, problems, improvement plans, utilization plans, and development directions of sports cooperatives in the sports field.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.121-132
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• 2014

The main goal of this research is to invest the difficulties in the process of developing serious game for science learning to acquire the suggestion. We analysed the journals written by developers of game scenario on the procedure of the development and on the review of the accomplished game. Then we also interviewed the scenario developers as well as game developers. When interviewing the game developers, we passed them the thoughts and questions of scenario developers. The possible difficulties in developing serious game are form the difference of cognitions on the skills which can be embodied in the development process and interaction and communication problem between scenario developers and game developers. As a consequence of the research, we acquired some suggestions for developing serious game as follows; 1) Scenario developers and game developers must understand the concepts of serious game as well as learning theory; 2) Both scenario developers and game developers should be aware of secured technological capacity and allowed time period. 3) Scenario developer should take a part of game developer' role as using a learning contents authoring tool; 4) Scenario developers have to consistently interact with game developers in developing the games; 5) Scenario should be concretely described in detail; and 6) A Supervisor is essential to control both scenario developers and game developers.

• Information Systems Review
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• v.13 no.3
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• pp.65-81
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• 2011

The purpose of this study is to examine the role of social communication through the information technology, affective commitment and calculative commitment in globally integrated. The structural equation modeling technique was used to evaluate its empirical validity and causal relationship using data collected from a survey by a transnational corporation. The result revealed that social communication between employees through the information technology led to having a direct effect on both affective commitment and calculative commitment beyond the simple communication tool. Also the social communication had a positive effect on globally integrated. Both affective commitment and calculative commitment have a positive effect on globally integrated. From the result, we could find that affective commitment and calculative commitment partially play a mediating role between social communications and globally integrated. This result offered both recommendations and implications for firms attempting to innovate in order to be transnational corporations.