• Journal of Digital Convergence
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• v.17 no.9
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• pp.105-114
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• 2019

This study examined the causal relationship between CSV and brand image and consumers' behavioral intentions by structural equation model using psychological variables such as CSV intentionality and company-consumer identification. 198 questionnaires were used to test 8 hypotheses using Smart PLS 2.0. Results are as follows: First, two hypotheses were rejected that CSV had a negative effect on CSV intentionality and CSV intentionality had a negative effect on brand image. Second, CSV has a positive effect on company-consumer identification and company-consumer identification has a positive effect on brand image, purchase intention, and willingness to pay. This study suggests the necessity of enhancing customer participation and communication for the company to establish CSV strategies.

• Journal of Fashion Business
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• v.25 no.1
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• pp.165-178
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• 2021

With rise in economic activity of fandoms, fashion brands often collaborate with K-pop stars such as BTS to enhance brand preference and sales. This study analyzes why people engage in fandom activity and its effects on collaboration fashion brand preference by focusing on 'BTS' and fandom 'Army'. This study aims to provide information to establish marketing strategies by identifying the influence of fandom culture related to the Korean Wave and the fashion industry, and empirically analyzing factors affecting active customer formation for long-term growth. The data were collected from BTS fan club 'Army' and a total data sets were analyzed using SPSS25.0 statistics program. The findings of this research were as following. Frist, BTS fandom motivation were identified as Need for Approval, Communication Need, Professionalism Need, Need to Belong, Consumption Need and the BTS fan groups were categorized into 3 groups. Third, comparing BTS goods values and collaboration brand preference an excess in each group was revealed. This study is significant because it provides essential data for the marketing strategy of fandom market by comparing marketing effects of BTS with the characteristics of fandom consumers and identifying the different desires of each group. As a result of this research, it can be seen that BTS an influential leading brand, has been adopted, and the research direction of empirical analysis has been presented. In practice companies can select specific fandom targets by using the sub-levels of fandom types that have become clear and implement marketing strategies of the fandom market.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.827-833
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• 2020

In this paper, to reduce the unpaid rate of local governments, the internal data elements affecting the arrears in Water-INFOS are searched through interviews with meter readers in certain local governments. Candidate data affecting arrears from national statistical data were derived. The influence of the independent variable on the dependent variable was sampled by examining the disorder of the dependent variable in the data set called information gain. We also evaluated the higher prediction rates of decision tree and logistic regression using n-fold cross-validation. The results confirmed that the decision tree can find more accurate customer payment patterns than logistic regression. In the process of developing an analysis algorithm model using machine learning, the optimal values of two environmental variables, the minimum number of data and the maximum purity, which directly affect the complexity and accuracy of the decision tree, are derived to improve the accuracy of the algorithm.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.255-263
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• 2021

Smart grid is a fully-automated, bi-directional, power transmission network based on the physical grid system, which combines sensor measurement, computer, information communication, and automatic control technology. Blockchain technology, with its security features, can be integrated with Smart Grids to provide secure and efficient power management and transmission. This paper dicusses the deployment of Blockchain technology in Smart Grid. It presents application areas and protocols in which blockchain can be applied to in securing smart grid. One application of each area is explored in detail, such as efficient peer-to-peer transaction, lower platform costs, faster processes, greater flexibility in power generation to transmission, distribution and power consumption in different energy storage systems, current barriers obstructing the implementation of blockchain applications with some level of maturity in financial services but concepts only in energy and other sectors. Wide range of energy applications suggesting a suitable blockchain architecture in smart grid operations, a sample block structure and the potential blockchain technicalities employed in it. Also, added with efficient data aggregation schemes based on the blockchain technology to overcome the challenges related to privacy and security in the smart grid. Later on, consensus algorithms and protocols are discussed. Monitoring of the usage and statistics of energy distribution systems that can also be used to remotely control energy flow to a particular area. Further, the discussion on the blockchain-based frameworks that helps in the diagnosis and maintenance of smart grid equipment. We have also discussed several commercial implementations of blockchain in the smart grid. Finally, various challenges have been discussed for integrating these technologies. Overall, it can be said at the present point in time that blockchain technology certainly shows a lot of potentials from a customer perspective too and should be further developed by market participants. The approaches seen thus far may have a disruptive effect in the future and might require additional regulatory intervention in an already tightly regulated energy market. If blockchains are to deliver benefits for consumers (whether as consumers or prosumers of energy), a strong focus on consumer issues will be needed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.228-233
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• 2021

As the number of successful design innovation product cases in business increases, interest in design innovation is increasing. This study aims to examine how the design innovation (functionality, ergonomics, aesthetics) of Bluetooth speaker products affects the customer's preference and purchase intention. It proposes a research model through rational behavior theory (TRA) and technology acceptance model (TAM) for empirical research. The questionnaire was composed of questions to understand the influence of design innovation, favorability, and purchase intention. As a result of the study, functionality, ergonomics, and aesthetics influenced product preference and purchase intention. In order for the innovative product of Bluetooth speaker design to be accepted in the early market, it is most important to form a positive attitude toward favorability centering on function and aesthetics. Favorability is a factor that has the most decisive influence on the purchase intention of design innovation products, and companies must discover and reinforce various factors that positively affect the preference.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.119-126
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• 2020

In this paper, we design and implement a product information guidance system Based on BLE beacons. This system is designed to provide various functions such as contactless entrance service through mobile ticket, seat guidance service, event push service, content push service, and public service. This system consists of three modules: a beacon recognition module, a server linkage module, and a content transmission module. The beacon recognition module implements a function of transmitting a specific ID of a nearby beacon when a customer with a smartphone approaches the available service area. The server linkage module recognizes the beacon ID value, transfers it to the server, and implements the function to check the location of the server having the ID. The content transmission module implements a function of transmitting event or service information set at a corresponding location to a smartphone. The beacon-based product information guidance system implemented in this paper has the advantage of being able to quickly and easily implement various product information guidance systems.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.1-14
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• 2020

Recently, M/G/1 priority queues with a finite buffer for high-priority customers and an infinite buffer for low-priority customers have applied to the analysis of communication systems with two heterogeneous traffics : delay-sensitive traffic and loss-sensitive traffic. However, these studies are limited to M/G/1 priority queues with finite and infinite buffers under a work-conserving priority discipline such as the nonpreemptive or preemptive resume priority discipline. In many situations, if a service is preempted, then the preempted service should be completely repeated when the server is available for it. This study extends the previous studies to M/G/1 priority queues with finite and infinite buffers under the preemptive repeat-different and preemptive repeat-identical priority disciplines. We derive the loss probability of high-priority customers and the waiting time distributions of high- and low-priority customers. In order to do this, we utilize the delay cycle analysis of finite-buffer M/G/1/K queues, which has been recently developed for the analysis of M/G/1 priority queues with finite and infinite buffers, and combine it with the analysis of the service time structure of a low-priority customer for the preemptive-repeat and preemptive-identical priority disciplines. We also present numerical examples to explore the impact of the size of the finite buffer and the arrival rates and service distributions of both classes on the system performance for various preemptive priority disciplines.

• The Research Journal of the Costume Culture
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• v.30 no.3
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• pp.414-428
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• 2022

The goal of this study was to develop a curriculum based on practice and job competency, reflecting opinions on the required job competence of nail practitioners and professionals related to nail beauty. Through in-depth interviews with nail experts, the research focuses on developing nail beauty competency-based curriculum and curriculum profiles that reflect practitioners' needs of job competence in the field. In-depth interviews with 11 field experts and surveys of 154 people were conducted to develop a competency-based curriculum for beginner nail hairdressers. The results of this study show that the existing 38 National Competency Standards (NCS) job competencies were reduced to 21 job competencies. In addition, based on the common opinions of experts who reflect the current trend, two tasks on "eyelashes" and "waxing" were added, and they were modified and supplemented with 23 core competencies. The development of a competency-based curriculum and educational programs for nail beauty was performed based on the requirements of the core competencies investigated and the development of a systematic map for the core competencies of beginner nail technicians and hairdressers. In conclusion, the need for professional education and training for nail hairdressers is growing, and it can be seen that a curriculum building multi-faceted abilities is needed for their qualifications as experts. This study found that it is necessary to develop interpersonal communication skills that include marketing elements other than practical skills such as personality and customer response methods in the nail beauty curriculum.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.34-40
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• 2023

A smart business card printing system that automatically prints business cards requested by customers online is being activated. What matters is that the business card submitted by the customer to the system may be abnormal. This paper deals with the problem of determining whether the image of a business card has been abnormally rotated by adopting artificial intelligence technology. It is assumed that the business card rotates 0 degrees, 90 degrees, 180 degrees, and 270 degrees. Experiments were conducted by applying existing VGG, ResNet, and DenseNet artificial neural networks without designing special artificial neural networks, and they were able to distinguish image rotation with an accuracy of about 97%. DenseNet161 showed 97.9% accuracy and ResNet34 also showed 97.2% precision. This illustrates that if the problem is simple, it can produce sufficiently good results even if the neural network is not a complex one.

• Fashion & Textile Research Journal
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• v.24 no.1
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• pp.117-126
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• 2022

This study aims to analyze the sizing information of women's ready-to-wear pants as indicated on online retail websites and to suggest better sizing communication that can assist customers in making successful apparel size selections. We gathered size specifications and size reference information for basic straight pants from 34 online apparel retail websites. Although the Korean standard recommends labeling the body dimension-based sizing code and specification, most websites preferred to use various types of sizing codes. Body measurements were only used by a few websites, and garment dimension descriptions were the most common method to indicate product size. Many websites provided size reference information through customer review boards and fit model images, however, there was insufficient body size information to allow customers to infer the fit of their body type. When using the size guidance tools, the major data input points were stature and weight measurements. However, the waist measurements of pants sizes guided only by stature and weight values revealed inconsistent ease allowance for corresponding body size populations, especially in the overweight group. Based on our findings, we propose a more effective method of communicating the size information of pants online. We expect that this will contribute to the efficiency of online apparel product display and build a better shopping environment that satisfies both sellers and consumers.