• Journal of Distribution Science
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• v.18 no.12
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• pp.79-90
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• 2020

Purpose: This study aims to explore the service improvement and marketing strategy to measure the effect of the DISC (dominance, influence, steadiness, conscientiousness) behavior type of hair salon workers on service quality and marketing. Research design, data and methodology: 236 responses were analyzed by distributing questionnaires to hair salon workers through SNS. Factor analysis and reliability analysis were applied and the influence of job factors on work satisfaction and turnover intention, and the statistical significance of the DISC behavioral type adjustment effect verified. Results: First, among the general characteristics of the survey subjects, the most common respondents were women and interns in their twenties, with less than four years of experience and less than three years of work experience on site. Second, the working environment, employee relations and compensation policies caused by work-related factors have shown a major influence on work satisfaction. Third, the working environment and human relationships among the job factors have an impact on turnover intention. Conclusions: The working environment, human relations, and compensation system derived as job factors had a crucial effect in service quality and marketing on job satisfaction, and among job factors, working environment and human relations had a significant influence on turnover intention.

• Korean Medical Education Review
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• v.24 no.2
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• pp.103-112
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• 2022

The purpose of this study was to explore, using topic modeling, the social value of doctors and medicine demanded by society as reflected in published newspaper articles in Korea. Ultimately, this study aimed to reflect social needs in the process of developing the Patient-Centered Doctor's Competency Framework in Korea. For this purpose, a total of 2,068 newspaper articles published from 2016 to 2020 were analyzed. Through topic modeling of these newspaper articles over the past 5 years, 18 topics were derived and divided into four categories. Focusing on the derived topics and keywords, the topics derived in specific years and the proportion of topics by year were analyzed. The results of this study make it possible to grasp the needs of society projected through the press for doctors and medicine. Due to the nature of the press, topics that frequently appeared in newspaper articles were mainly social phenomena related to requirements for doctors, particularly dealing with economic and legal aspects. In particular, it was confirmed that doctors are now required to have a wider range of competencies that go beyond their required medical knowledge and clinical skills. This study helped to establish doctor's competencies by analyzing social needs for doctors through the latest research methods, and the findings could help to establish and improve doctor's competencies through ongoing research in the future.

• Journal of the Institute of Convergence Signal Processing
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• v.25 no.1
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• pp.15-20
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• 2024

In the field of ship inspection in South Korea, due to outdated workflow processes, there is a possibility of tampering with inspection results. Accordingly, research is being conducted to prevent tampering with inspection results by introducing blockchain technology and cloud-based systems that allow real-time tracking and sharing of data, and to establish a transparent and efficient communication system. In this study, unit and integrated processes for overall data management and inspection execution related to ship inspection were implemented to automatically collect, manage, and track various inspection results occurring during the ship inspection process. Through this, it aimed to increase the efficiency of the ship inspection process overall, inducing growth in the ship inspection industry as a whole. The implemented web portal reached a level where trend analysis and comparative analysis with other ships based on inspection results are possible, and subsequent research aims to demonstrate the excellence of the system.

• Journal of Life Science
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• v.32 no.7
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• pp.532-541
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• 2022

Obesity induced by high-fat diet (HFD) is verified as a strong risk factor and negative prognostic factor for prostate cancer in several genetically engineered mice although it was not examined in the normal mice. To investigate whether HFD-induced obesity can affect the development and progression of cancer in the prostate of normal mice, alterations in the weight and histological structure of the prostate as well as the expression of cancer-related proteins were analyzed in obese C57BL/6N mice fed with 60% HFD for 16 weeks. First, HFD-induced obesity, including an increase in organ weight, body weight, fat accumulation, and serum lipid profile, was successfully induced in C57BL/6N mice after HFD treatment. The total weight of the prostate significantly increased HFD-induced obesity in the model mice compared with the control group. Among the four lobes of the prostate, the weight of the ventral prostate (VP) and anterior prostate (AP) were higher in HFD-induced obesity model mice than in the control group, although the weights of the lateral prostate (DLP) and seminal vesicle (SV) were constantly maintained. In addition, the incidences of hyperplasia and non-hodgkin's lymphoma (NHL) in the histological structure were remarkably increased in HFD-induced obesity model mice, while the epithelial thickness was higher in the same group. A significant increase in the phosphorylation levels of key proteins in the AKT (protein kinase B) signaling pathway was detected in HFD-induced obesity model mice. Therefore, these results suggest that HFD-induced obesity can promote hyperplasia and NHL in the prostates of C57BL/6N mice through the activation of the AKT signaling pathway.

• Journal of Korea Entertainment Industry Association
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• v.14 no.2
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• pp.165-176
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• 2020

Customized medical care and services timely providing effective prevention and treatment by collecting and using individuals' biomedical data are recently possible and utilized for users' health care. They are developed as the real-time health care services and information is provided to individuals by using smart phones, PC, tablet, etc. Interactive communication is supported by informing managers of analysis data and results, through collected data. It is therefore the time for constructing health care. This study attempts to prepare for patent applications of technical development at this time, by analyzing the tendency of smart wearable health care technologies, including biological signal-based health care devices and real-time health care system. Patents regarding smart wearable health care technologies were reported to have the relatively higher concentration of research development. Korea focuses on patent activities for real-time health care systems across the intervals of analysis, while U.S and European countries actively make efforts for patent activities regarding health care devices Japan conduct patent activities across health care devices and systems, based on bio-technologies. Korea has recently dominated the market of patents for bio-technologies-based health care devices and real-time health care devices and also appears to secure patents for the technologies and the market, so entry barriers to the market of smart wearable health care technologies are determined to be higher in Korea. It is important to establish the portfolios of patents, by securing patent rights for the figures of products, manufacturing methods and other related technical systems, if technologies are planned to be commercialized.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.249-258
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• 2019

The health care services are the most basic social institutions that are provided to citizen including disabled persons for improvement of health. However, the study of the difference of health care services according to the speech therapy use in the people with speech-language disorders was insufficient. The aim of this investigation was to compare the awareness of health care services and characteristics of people with speech-language disorders according to speech therapy use. The researchers selected 229 people with language disorder using raw data of National Survey of the Disabled Person (2017). We compared the characteristics and health care services of people with speech-language disorders by distinguishing between speech therapy non-users and speech therapy users. Among the 229 people with language disorder, speech therapy users were 37 persons (16.2%). In comparison with non-users, users were younger, more preschoolers, more family incomes, and intellectual disabilities and autistic disorder were the most common types of disability enrollment. Users had a lower proportion of unmet medical needs than non-users. For the reasons of unmet medical need, there were 6.8% and 6.3% of the "economic reasons" and "communication difficulties" Both users and non-users responded that "disability management services" need to be strengthened by the government. In conclusion, we suggest that access to health care services needs to be increased to lower the barriers of speech therapy use.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.515-524
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• 2019

The purpose of this study was to investigate the influences of adolescents on self-rated health and happiness, physical activity, and mental health according to time of smartphone use. The researcher used raw data from the Korea youth risk-behavior web-based survey(2017). A total of 64,991 adolescents were enrolled and 54,603 were analyzed in logistic regression analysis. The researcher set gender, self-rated health and happiness, physical activity, and mental health as independent variables and performed logistic regression analysis with smartphone overuse time as dependent variables. As a result, the female had a smartphone overuse of 1.49 to 1.67 times higher than male. Subjectively healthy people were 1.2 to 1.35 times more likely to use smartphones than those who did not(p<.001). People with higher physical activity were higher by 1.17 to 1.18 times than people without physical activity(p<.001). Subjective happiness did not predict smartphone usage(p>.05). People with subjective stress were higher 1.13 to 1.22 times than people without stress, and person with sadness and despair and suicide plan, 1.37 to 1.54 times, 1.17 to 1.24 times than those who did not(p<.001). Depression tended to become more serious as smartphone use increased. These investigation suggest that the self-rated health, physical activity, and mental health excluding self-rated happiness are related to overuse of smartphone.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.261-272
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• 2019

The purpose of this study is to examine the moderating effect of emotional bond in the effect of the congruence of self-image and the team's loyalty to professional baseball spectators, to enhance the effectiveness of emotional bond between the club and the spectator, and to suggest implications for establishing the club's brand marketing strategy. For this purpose, a survey was conducted on 500 professional baseball spectators, and the results of correlation analysis, stepwise regression analysis and hierarchical regression analysis using SPSS 21.0 based on 450 collected data are as follows. First, among the professional baseball spectators and the team's self-image, the realistic self-image factor had a significant effect on the club's loyalty. Second, it was confirmed that the congruence of realistic self-image moderated the effect of congruence of realistic self-image on club loyalty. This result shows that the formation of emotional bond has no influence on the congruence of ideal self-image and is related to the realistic self-image that the club is showing at present. Therefore, it is necessary to establish a marketing strategy that can highlight this effect by considering these points.

• International Commerce and Information Review
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• v.13 no.3
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• pp.325-351
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• 2011

This paper is focused on problem in the law and system caused by the infringement of medical information and in the law and system indicate the solution. Interests in the medical service are increasing in internet environment as life quality of the people improves because of development in information and medical technology. The current main issues of the legislative system and the law improvement suggestion for telemedicine activation which is related to the ubiquitous health in which the medicine field and IT technology convergence appearance. In particular, South Korea in the privacy-related legislation should be amended. The reason, Medical information record contains a lot of patient's private secrets. Therefore, if privacy protection is not enough this could cause problem violate a patient's privacy. Thus we need consequently the maintenance of the health medical treatment field to suit a telemedicine environment of a law system. Specifically, this law enacted to protect medical treatment information and the technical security services with confidence and stability against security treats are necessary.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.