• Management & Information Systems Review
• /
• v.39 no.3
• /
• pp.99-125
• /
• 2020

This study analyzes the priority according to the importance of the government's oyster industry support policy using AHP (analytic hierarchy process), and it compares and confirms the satisfaction level of direct and indirect workers using this policy in contribution to the development of the oyster industry. The results of the importance analysis by AHP analysis are as follows: As a result of the evaluation of the importance of the entire sample, it is found that the most important factor is the production facilities of the production supply of the competitiveness enhancement, the purchase of raw materials of the production supply of the competitiveness enhancement, and the aging of the structural risks of risk reduction. Also, significant differences among the workers in the ranking of importance are identified. According to the comprehensive evaluation results of indirect workers, which consist of public officials, the National Federation of Fisheries Cooperatives, and related professors, raw materials, production facilities, and high-quality products are produced in order to increase competitiveness. There are differences among workers in order of marine pollution of environmental risks, structural fish population reduction, and structural aging of risk factors.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.31 no.1
• /
• pp.257-284
• /
• 2020

The purpose of this study is to derive differentiation strategy through strategy competition analysis on public libraries in order to enhance the competitiveness and efficiency of libraries. To that end, this study conducted a status analysis, management resources analysis, external and internal environment analysis on four public libraries located in Jung-gu, Incheon to identify the situation of strategy competition, and conducted a competitor analysis, customer segment analysis, and customer value analysis of four public libraries through various library related statistical data, national library operation evaluation data, library user satisfaction surveys, and interview with chief librarian and senior librarians. As the result, this study suggests three differentiation strategies by library. First of all, the four public libraries need to provide customized services targeting different target users within the region. Secondly, public libraries need to develop active library services that directly visit passive users, who are information have-nots, considering geographical accessibility and the composition of the population in the region. Last, public libraries should form a cultural community that cooperate with the local community and develop various programs that reflect the identity of the region.

• Korean Journal of Psychosomatic Medicine
• /
• v.23 no.2
• /
• pp.129-135
• /
• 2015

Objectives : In children and adolescents, the prevalence of overweight has increased in the last 20 years. little research is available on the prevalence of obesity in children with autism spectrum disorders(ASD). The purpose of our study was to determine the prevalence of overweight among a clinical population of children diagnosed with autism spectrum disorders(ASD). Methods : Retrospective chart review of children ages 3-18 years seen between 2012 and 2015 at a Konyang University hospital psychiatric clinic. Diagnostic, medical, and demographic information was extracted from the charts. Body mass index(BMI) was calculated from measures of height and weight recorded in the child's chart. The Center for Disease Control's BMI growth reference was used to determine an age and gender-specific BMI z-score for the children. Results : In our study, children with ASD compared to non ASD group had significantly higher BMI percentiles (p=0.032). The prevalence of overweight($BMI{\geq}85th$ to 95th percentiles) and obesity($BMI{\geq}95th$ percentiles) was 35% and 19% respectively in children with ASD and without ASD. Conclusions : Despite noted limitations, our data suggest that overweight and obesity in children with ASD are more prevalent than without ASD. Longitudinal and further study is needed to examine the factors associated with obesity in this population.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.1
• /
• pp.81-91
• /
• 2019

Although the number of users of urban railways is greatly influenced by the land use plan around the railway station, Korea has been studying this problem in a small scale, so that the entrance width is uniformly calculated irrespective of the land use plan, And there is little deviation. Therefore, this study aims to establish a demand estimation model for the entrance and exit of urban railway stations. For this purpose, the demand, land use area, and socioeconomic indicators for each of the 20 urban railway stations were surveyed at 200m and 500m Regression model. The model is based on the assumption that the dependent variable (response variable) of the model is set to 1 day, peak 1 hour, peak time 5 minutes, Education, and park) and socioeconomic indicators (population, employer, employee, and student) as independent variables (explanatory variables). As a result, it was analyzed that the fit of the model is more statistically significant when the use area of the land use by 500 meters of the center radius of the city rail is used as an independent variable and the demand for the daily use of the railway station is used as a dependent variable. The purpose of this study is to estimate the optimal size of urban railway entrance in order to improve the mobility of the user and the transportation weak in urban railway station.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.3
• /
• pp.242-251
• /
• 2021

This study investigates the effects of availability and accessibility on an individual's risk of developing a gambling problem. A total of 24 off-track betting facilities located in 12 districts of Seoul were examined in an effort to identify any association between their presence and citizens' gambling habits. Study participants included 1,490 online recruits residing in Seoul who participated in gambling activities in the 12 months prior to the study. To examine the differences in addiction rates and gambling frequency, a survey of demographics, gambling addictions, and gambling frequency divided the participants into two groups: those who resided in a district where off-track betting facilities were available, and those who resided elsewhere. Analysis results indicate that gambling frequency and addiction rates were significantly higher among participants residing in a district where off-track betting terminals are available. Additional analysis was performed with participants who mainly gambled on horse racing, with results similar to the previous analysis-significantly higher rates of gambling addiction and frequency were observed among participants residing in close proximity to off-track betting facilities.

• Journal of Convergence for Information Technology
• /
• v.12 no.5
• /
• pp.183-193
• /
• 2022

The purpose of this study is to analyze the effect of black consumer behavior perception on the anger expression and turnover intention of beauty workers. For data collection, the final 392 copies were used by distributing questionnaires to 400 people for three months from November 1, 2021 to January 31, 2022, centering on beauty service workers in Seoul, Gyeonggi, and Incheon. For data analysis, SPSS 25.0 program was used. Frequency analysis was performed to identify demographic characteristics, and factor analysis and reliability analysis were performed to understand the validity of the measurement tool. Correlation analysis, A regression analysis was performed. As a result of the analysis, the transient and deterrence of black consumers had a positive (+) effect on anger expression, anger suppression, and turnover intention, and anger expression and anger control had a positive (+) effect on turnover intention. Therefore, it is necessary to raise excessive problems of black consumers or eradicate forced services, and it is believed that proper customer response methods and programs for stress relief should be provided by members.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.49 no.3
• /
• pp.329-339
• /
• 2022

The purpose of this study was to compare the palatal dimensions (volume, width, length, and height) in different malocclusions (Class I, II, and III) in mixed dentition using a three-dimensional digital scanner. The study was performed on 30 selected casts from 1400 casts that were taken at the Department of Pediatric Dentistry at Dankook University. Casts consisted of Class I, II, and III malocclusion groups in Hellman's dental age IIIA. The mean age was 8 years and 6 months ± 11 months. Each cast was scanned by three-dimensional digital scanner, Medit T710 (Medit, Seoul, Korea), and shaped into the three-dimensional image and calculated palatal dimensions using the Plan T program (SMD solution, Seoul, Korea). The values were statistically compared and evaluated by Kruskal-Wallis followed by the Mann-Whitney test. According to our results, subjects with Class II malocclusion showed lower palatal width and longer palatal length compared to those with Class I and Class III. For palatal height, Class III malocclusion subjects in mixed dentition exhibited a larger number than Class II and Class I. Lastly, for palatal volume, compared to other malocclusions, Class III showed higher results; however, there were no significant differences. The form of the palate differs in types of malocclusions and understanding of these differences is important in clinical significance. Based on this study, the understanding of the relationship between the shape of the palate and the skeletal pattern provides useful information about orthodontic treatment plans, early diagnosis of malocclusion, and morphological integration mechanisms. Orthopedic treatment in the maxilla should be performed during early and intermediate mixed dentition to enhance treatment efficiency.

• Knowledge Management Research
• /
• v.23 no.2
• /
• pp.277-299
• /
• 2022

The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.

• Journal of Service Research and Studies
• /
• v.12 no.4
• /
• pp.125-138
• /
• 2022

This study has examined the effect of cognitive resource on purchase intention of scarcity products according to the level of need for cognitive closure. In order to find out the effect on purchase intention for products that are presented a shopping environment is supposed, where various timing of consumer promotion reward exist, and where consumers can easily access and experience a lot of cognitive changes. the effect of how these two influences are adjusted according to the level of need for cognitive closure (NFCC). The study divide into two experiments. Research analyzes the behavioral differences of consumers for scarcity message products according to cognitive resource level with a moderating effect of NFCC. As a result of the study, Research according to the level of cognitive resource, when applied scarcity message product showed a negative effect of the cognitive resource (self-regulating resource) depletion level on the purchase intention of high-involvement product with scarcity message (Hypothesis 1). Consumers' purchase intention for limited products was higher at the non-depleted level than at the cognitive resource depletion level, and this difference was found statistically significant. Next, as a result of examining the difference according to the level of NFCC, the difference in the influence of cognitive resource level on purchase intention of scarcity products was found to be statistically significant where the NFCC was low (Hypothesis 2).

• Journal of Service Research and Studies
• /
• v.13 no.2
• /
• pp.99-113
• /
• 2023

In a customer-based industry, customer retention is the competitiveness of a company, and improving customer retention improves the competitiveness of the company. Therefore, accurate prediction and management of potential dormant customers is paramount to increasing the competitiveness of the enterprise. In particular, there are numerous competitors in the domestic card industry, and the government is introducing an automatic closing system for dormant card management. As a result of these social changes, the card industry must focus on better predicting and managing potential dormant cards, and better predicting dormant customers is emerging as an important challenge. In this study, the Recurrent Neural Network (RNN) methodology was used to predict potential dormant customers in the card industry, and in particular, Long-Short Term Memory (LSTM) was used to efficiently learn data for a long time. In addition, to redefine the variables needed to predict dormant customers in the card industry, Unified Theory of Technology (UTAUT), an integrated technology acceptance theory, was applied to redefine and group the variables used in the model. As a result, stable model accuracy and F-1 score were obtained, and Hit-Ratio proved that models using LSTM can produce stable results compared to other algorithms. It was also found that there was no moderating effect of demographic information that could occur in UTAUT, which was pointed out in previous studies. Therefore, among variable selection models using UTAUT, dormant customer prediction models using LSTM are proven to have non-biased stable results. This study revealed that there may be academic contributions to the prediction of dormant customers using LSTM algorithms that can learn well from previously untried time series data. In addition, it is a good example to show that it is possible to respond to customers who are preemptively dormant in terms of customer management because it is predicted at a time difference with the actual dormant capture, and it is expected to contribute greatly to the industry.