• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.89-99
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• 2021

A brand community refers to a group of people who have a passion and loyalty for the brand, and is attracting attention as an effective marketing strategy to increase brand equity because it actively tends to support and promote the brand without expecting compensation. The objective of this study is to identify factors that are needed for sustainable brand community management. Existing studies on brand community management have mainly been conducted by quantitative methods measuring consumer satisfaction and dissatisfaction towards brand community activities, however, this study applied qualitative methods using means-end chains and laddering approaches in order to deeply identify a consumer's desired value on brand community activities. An in-depth interview of 41 members of BTS ARMY, a representative example of brand community, has been conducted and analyzed. The result of this study is as follows. In order to encourage active brand community activities, it is important to provide brand community members with a variety of high-quality brand-related content for a unique aesthetic experience, and a forum where all members can interact and exchange information and ideas to enhance brand value and experience. Finally, to nurture a strong brand community as a partner to co-create brand equity, rather than just a fan community, it is needed to build an environment that fosters opportunities for brand community members to increase self-respect and fulfillment through their brand community activities.

• Industry Promotion Research
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• v.7 no.4
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• pp.17-23
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• 2022

This study is a study to analyze the effect of corporate working environment on job enthusiasm. Based on the 6th work environment survey conducted between 2020 and 2021 among data from the National Statistical Office, some 440 data were used for analysis. The analysis results are summarized as follows. First, the job satisfaction that the working environment had on job enthusiasm had a statistically significant effect with a β value of .307. Second, it was analyzed that there was a statistically significant difference in job enthusiasm according to general characteristics in employment type and income level. The significance probabilities were .028 and .012, respectively, and there was a significant difference between the groups of temporary workers and daily workers in employment type. was analyzed to exist. Third, there was no significant relationship between gender and work environment satisfaction. However, in Satisfied, 148 men and 181 women, out of a total of 329 respondents, 45% male and 55% female in satisfaction. could know a little more. This study is considered to be necessary to provide opportunities and resources so that members of the organization can demonstrate their abilities by creating a working environment that workers can be satisfied with.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.11-25
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• 2022

In this study, we want to verify the factors that affect the intention to switch to a supply chain management information system applied with blockchain. To this end, variable selection and research model were constructed through the review of previous studies, and empirical analysis was conducted using the TOE framework and PPM model. The effects of Push and Pull factors on the intention to switch to the block chain system and the moderating effect through the switching cost which is a Mooring factor, were verified. The hypothesis was verified using a structural equation model using a sample of 320 response data by conducting a questionnaire survey on small and medium-sized enterprises located in Korea. As a result of the study, social influence, which is a push factor, and management's will to innovate, which is a Pull factor, had a significant effect on switching intention. And the moderating effect between the groups with high and low switching cost recognition was confirmed. This study is significant in that it presents the concept and research direction of SCBM (supply chain & blockchain management) that can enhance the competitiveness of a company through the implementation of a blockchain-based supply chain management information system.

• Smart Media Journal
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• v.12 no.10
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• pp.71-84
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• 2023

Paralichthys olivaceus accounts for a large proportion, accounting for more than half of Korea's aquaculture industry. However, about 25-30% of the total breeding volume throughout the year occurs due to diseases, which has a very bad impact on the economic feasibility of fish farms. For the economic growth of Paralichthys olivaceus farms, it is necessary to quickly and accurately diagnose disease symptoms by automating the diagnosis of Paralichthys olivaceus diseases. In this study, we create training data using innovative data collection methods, refining data algorithms, and techniques for partitioning dataset, and compare the Paralichthys olivaceus disease symptom detection performance of four object detection deep learning models(such as YOLOv8, Swin, Vitdet, MvitV2). The experimental findings indicate that the YOLOv8 model demonstrates superiority in terms of average detection rate (mAP) and Estimated Time of Arrival (ETA). If the performance of the AI model proposed in this study is verified, Paralichthys olivaceus farms can diagnose disease symptoms in real time, and it is expected that the productivity of the farm will be greatly improved by rapid preventive measures according to the diagnosis results.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.183-190
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• 2020

The purpose of this study is to conduct computational thinking-based software education for a 5-year-old, and to analyze educational meanings. For the study, a total of 10 activities were applied for 50 children at two kindergartens located in Seoul and the collected data were analyzed qualitatively. As a result of the study, the educational meaning that founded to young children in software classes was finding problems in prior experiences, approaching the simulation process with stories, and feeling of interest and achievement through software devices. The educational meanings that founded to the teacher were to ask questions to support the procedural thinking process, to lead the thought process to concrete experiences, and to move between group activities and individual activities appropriately. In the future, research on the effectiveness of computational thinking-based software education should be conducted.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.200-205
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• 2020

This study investigates the effects of instrument-assisted soft mobilization (IASTM) and manual myofascial release (MFR) on the muscle activity of the biceps brachii. This study was conducted on 10 men and women in their 20s, and all subjects participated in the experiment for 3 days and measured muscle activity of the upper forearm muscles. On the first day, the muscle activity value was measured before the intervention, and the remaining two days were measured for muscle activity after the intervention of each manual therapy in a random order. All muscle activity values were compared and analyzed through the dependent t test and the independent t test. The before and after comparison of muscle activity values before and after each intervention was verified by performing the dependent t test and comparing the values of muscle activity between groups between each intervention after intervention by performing an independent t test. According to the results of this study, both interventions significantly increased muscle activity of the biceps brachii before and after intervention, and there was no significant difference in muscle activity values between groups after intervention. Therefore, both manual therapy (IASTM, MFR) are thought to be effective in improving neuromuscular control ability.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.79-87
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• 2020

The purpose of this study was to investigate the effect of flipped learning in ASP(after school program) on self-directed learning ability and learning motivation. This study used a one group pre test-post test design. Data derived from 35 person nursing students enrolled in after-school program between 17 December 2018 and 18 January 2019 at D university. The learner's self-directed learning ability increased, statistically differed differences(t=-4.04, p<.001) but, motivation increased there were no statistically significant differences(t=-1.08, p=.288). The average of ASP satisfaction scores for the program was 3.49 ± 0.93. Therefore, it is suggested that educators and schools organize their flipped learning methods in the curriculum to improve learners' self-directed learning ability.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.107-118
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• 2012

This study examined the analysis of the present condition, structure of fundraising activities, the effect of resource development and strategy for nonprofit social service organizations. This study investigated the fundraising and resource development activities of 356 non-profit organizations and community welfare centers nationwide. The results showed that a period of foundation of non-profit organization and community welfare center in Korea, was 10~14 years and organized with 13~19 workers. The community welfare centers were well prepared for the internal environment for resource development system such as workers, department, management for sponsors and computer program, while others were not prepared. Their recognition for the importance of fundraising activities was higher than the satisfaction of actual condition. The non-profit organization needs management sponsors, planning, public relations, fundraising skills and preparation proposal as the theme of education for fundraising activities. Their plans of the fundraising activity were events, proposal application, fundraising focus on companies, cause-related marketing. The non-profit organization complained of the difficulty about insufficiency manpower and skills of fundraising, external resource development and a budgetary deficit.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.21-27
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• 2018

In this study, we examine the case of administrative reorganization centered on the case of specific region C and try to clarify implications for the reorganization of administrative district in Korea. The target city for the study is composed of two surface units and one town area. Is it right to integrate these areas into a single administrative district with a huge megapolis, a new city? Or is it right to separate it? This study has begun with these questions. In this study, we conducted a literature review on the theories related to the administrative district reform and examined related issues in the new city area. The policy implications that should be considered in promoting administrative district reform are as follows. First, cooperation and understanding of various stakeholders is needed. Second, the goals and vision of integration should be presented. Third, sufficient review is needed before integration. Fourth, it is important to respect community. Fifth, concession and coordination of interest groups are necessary. Sixth, the administrative reform process must be absolutely democratic and fair.