• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.103-111
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• 2018

The purpose of this study is to suggest change probability of vocational education and training and support of teaching-learning methods. For this study, we applied a flipped learning strategy of two learning modules in Convergence Technology Campus of public vocational education and training institute and had an operation class. As a result, student satisfaction of flipped learning is 4.0 on average. 56.1% of education-trainees were higher an engagement of flipped learning class than teacher-centered class and 56.1% of education-trainees were used more learning energy. Based on results, we suggested the necessity of pre-learning system for application of education and training teaching methods on the 4th industry occupation and strategies to enhance teaching and learning competency.

• Journal of Korea Game Society
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• v.17 no.4
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• pp.169-178
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• 2017

In order for the game industry to grasp the initiative of the global industry, it is time to positively need storytelling that can move the emotions of gamers over graphical appearance. Also, in the era of the 4th industrial revolution where the point of contact between virtual and reality spreads widely, it seems that the game character industry will rapidly emerge. Therefore, the author recognizes the importance of the character industry in the future, and based on the accumulated game research, he has identified 10 elements necessary for character storytelling. The ten elements are as follows. Design of life, design of race, design of occupation, design of PC and NPC, design of monster, design of personality, design of conflict, design of protagonist, design of external image, design of birth and death.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.455-465
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• 2020

The purpose of this study was to investigate the relationship between physical activity and health-related quality of life of adults using the 7th National Health and Nutrition Survey. The study was conducted with 11,211 adults, and the health-related quality of life was defined using the EuroQol group's EQ-5D and physical activity using GPAQ. Data analysis was performed using the SAS 9.4 program, the general characteristics and degree of physical activity of the subject, Chi-square for KEQ-5D index, and Logistic Regression Analysis for the relationship between physical activity and quality of life. As a result of the study, the general characteristics of the subjects were marital status, educational status, occupation, smoking, alcohol consumption, economic status, stress, chronic disease, chronic disease treatment, physical activity due to leisure and physical activity due to occupation, depending on gender. There was a difference (p<0.05). As for the quality of life related to physical activity and health, the quality of life was significantly lower by 37% in the 'minimum physical activity group' of occupational physical activity (p<0.05). The results of this study are expected to be provided as basic data for physical activity-related health policy establishment and physical activity programs.

• Safety and Health at Work
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• v.11 no.1
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• pp.103-108
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• 2020

Background: Presenteeism has emerged as an important health-related issue and has been studied in a variety of occupation groups. This study examines the relationship between emotional labor and presenteeism in nurses in Republic of Korea. Methods: As a cross-sectional study, our study was conducted on 328 female nurses participating in the fourth Korean Working Conditions Survey (2015). Nurses were identified by the Korean Industry Classification Code. Multivariable logistic regression analysis was performed to explore the association between emotional labor and presenteeism. Results: Female nurses who always or sometimes hide their emotions in the workplace were found to have a high risk for presenteeism compared with female nurses who rarely hide their emotions in the workplace {odds ratio [OR] = 2.40 [95% confidence interval (CI) 1.04-5.54]; OR = 4.12 [95% CI 1.72-9.84], respectively}. Furthermore, the risk of presenteeism was higher in nurses who sometimes engaged with complaining customers compared with nurses who rarely did so, but it lacked statistical significance. Conclusion: Presenteeism in nurses can cause various negative secondary effects; therefore, an alternative should be sought to mediate nurses' emotional labor to prevent presenteeism.

• Journal of Korea Trade
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• v.25 no.5
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• pp.110-128
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• 2021

Purpose - The essential purpose of this study is to analyze the possibility of substitution of an individual job resulting from technological development represented by the 4th Industrial Resolution, considering the different effects of digital transformation on the labor market. Design/methodology - In order to estimate the substitution probability, this study used two data sets which the job characteristics data for individual occupations provided by KEIS and the information on occupational status of substitution provided by Frey and Osborne(2013). In total, 665 occupations were considered in this study. Of these, 80 occupations had data with labels of substitution status. The primary goal of estimation was to predict the degree of substitution for 607 of 665 occupations (excluding 58 with markers). It utilized three methods a principal component analysis, an unsupervised learning methodology of machine learning, and Ridge and Lasso from supervised learning methodology. After extracting significant variables based on the three methods, this study carried out logistics regression to estimate the probability of substitution for each occupation. Findings - The probability of substitution for other occupational groups did not significantly vary across individual models, and the rank order of the probabilities across occupational groups were similar across models. The mean of three methods of substitution probability was analyzed to be 45.3%. The highest value was obtained using the PCA method, and the lowest value was derived from the LASSO method. The average substitution probability of the trading industry was 45.1%, very similar to the overall average. Originality/value - This study has a significance in that it estimates the job substitution probability using various machine learning methods. The results of substitution probability estimation were compared by industry sector. In addition, This study attempts to compare between trade business and industry sector.

• Journal of Preventive Medicine and Public Health
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• v.5 no.1
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• pp.49-56
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• 1972

During the Period from 22th to November 26th, 1971, An Epidemiological Survey was performed on the Accident which was occurred by Leakage of Chloride Gases in A Chemical Industry, one of Wul San Industrial Areas. The obtained results were as follows; 1. The largest damage was observed at Yeo Cheon Dong, 5.38 Km2 in Area and 8,192 in the Residents. 2. By the age distribution of Yeo Cheon Dong, The largest damaged area resulting from chloride accident, the age group of between 10 and 39 was highly occupied with 55.2% Of all Yeo Cheon residents. 3. The number of patient was 436 totally, 198 in male and 238 in female. 4. By the age group distribution of the patient, in case of male, the largest group was under 20 age (96) and female, between 20 and 40 age group. 5. By the educational level of the patient, No-Education group was 116 (26.6%), and primary school, middle school and high school were respectively 168 (38.5%), 68 (15.6%) and 12 (2.8%). 6. By the occupational distribution of the patient, No-Occupation group was 49.7%, students and agriculture were respectively 14.4% and 8.1%. 7. By the complaints of the patient, most of all were for respiratory tract, those are coughing (56.9%), chest tightness (35.6%), sore throat (24.8%), and so forth. 8. By the injured domestic animal, the Dog was most highly injured with 46.2%.

• Journal of Korean Home Economics Education Association
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• v.34 no.4
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• pp.77-92
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• 2022

Recently, digital transformation in the financial industry has been accelerated, and it has become an important task to improve the level of utilization of Internet banking by elderly consumers, who are vulnerable to Internet use. Accordingly, this study analyzed 3,101 respondents in their 60s or older from the 11th year of the Media Panel Survey to identify demographic, experiential, and psychological factors that affect the self-efficacy of elderly consumers' usage of Internet banking. The main research findings are as follows. First, gender, education, occupation, and income were identified as demographic variables. Second, the Internet shopping experience was identified as an experiential factor. Also, concerns about information security, digital literacy, and high will for problem-solving were identified as psychological factors. Third, as a result of the moderating effect analysis on whether the experiential and psychological factors have different influences according to the group divided into the 60s and 70s, the effect on self-efficacy in the usage of the Internet was classified by age. The results of this study will be able to enrich the discussions related to the intention to utilize technology among elderly consumers by empirically revealing that there are characteristics that cause differences in financial behavior even within one group called the elderly.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.175-186
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• 2021

The roles and functions of domestic public libraries are diversifying, but various problems have emerged due to internally biased book lending. In addition, due to the 4th Industrial Revolution, public libraries have introduced a book recommendation system focusing on popular books, but the variety of books that users can access is limited. Therefore, in this study, the public library unborrowed book recommendation system was implemented limiting its spatial scope to Duryu Library in Daegu City to enhance the satisfaction of public library users, by using the loan records data (213,093 cases), user information (35,561 people), etc. and utilizing methods like cluster analysis, topic modeling, content-based filtering recommendation algorithm, and conducted a survey on actual users' satisfaction to present the possibility and implications of the unborrowed book recommendation system. As a result of the analysis, the majority of users responded with high satisfaction, and was able to find the satisfaction was relatively high in the class classified by specific gender, age, occupation, and usual reading. Through the results of this study, it is expected that some problems such as biased book lending and reduced operational efficiency of public libraries can be improved, and limitations of the study was also presented.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.123-139
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• 2019

The job classification system of major job sites differs from site to site and is different from the job classification system of the 'SQF(Sectoral Qualifications Framework)' proposed by the SW field. Therefore, a new job classification system is needed for SW companies, SW job seekers, and job sites to understand. The purpose of this study is to establish a standard job classification system that reflects market demand by analyzing SQF based on job offer information of major job sites and the NCS(National Competency Standards). For this purpose, the association analysis between occupations of major job sites is conducted and the association rule between SQF and occupation is conducted to derive the association rule between occupations. Using this association rule, we proposed an intelligent job classification system based on data mapping the job classification system of major job sites and SQF and job classification system. First, major job sites are selected to obtain information on the job classification system of the SW market. Then We identify ways to collect job information from each site and collect data through open API. Focusing on the relationship between the data, filtering only the job information posted on each job site at the same time, other job information is deleted. Next, we will map the job classification system between job sites using the association rules derived from the association analysis. We will complete the mapping between these market segments, discuss with the experts, further map the SQF, and finally propose a new job classification system. As a result, more than 30,000 job listings were collected in XML format using open API in 'WORKNET,' 'JOBKOREA,' and 'saramin', which are the main job sites in Korea. After filtering out about 900 job postings simultaneously posted on multiple job sites, 800 association rules were derived by applying the Apriori algorithm, which is a frequent pattern mining. Based on 800 related rules, the job classification system of WORKNET, JOBKOREA, and saramin and the SQF job classification system were mapped and classified into 1st and 4th stages. In the new job taxonomy, the first primary class, IT consulting, computer system, network, and security related job system, consisted of three secondary classifications, five tertiary classifications, and five fourth classifications. The second primary classification, the database and the job system related to system operation, consisted of three secondary classifications, three tertiary classifications, and four fourth classifications. The third primary category, Web Planning, Web Programming, Web Design, and Game, was composed of four secondary classifications, nine tertiary classifications, and two fourth classifications. The last primary classification, job systems related to ICT management, computer and communication engineering technology, consisted of three secondary classifications and six tertiary classifications. In particular, the new job classification system has a relatively flexible stage of classification, unlike other existing classification systems. WORKNET divides jobs into third categories, JOBKOREA divides jobs into second categories, and the subdivided jobs into keywords. saramin divided the job into the second classification, and the subdivided the job into keyword form. The newly proposed standard job classification system accepts some keyword-based jobs, and treats some product names as jobs. In the classification system, not only are jobs suspended in the second classification, but there are also jobs that are subdivided into the fourth classification. This reflected the idea that not all jobs could be broken down into the same steps. We also proposed a combination of rules and experts' opinions from market data collected and conducted associative analysis. Therefore, the newly proposed job classification system can be regarded as a data-based intelligent job classification system that reflects the market demand, unlike the existing job classification system. This study is meaningful in that it suggests a new job classification system that reflects market demand by attempting mapping between occupations based on data through the association analysis between occupations rather than intuition of some experts. However, this study has a limitation in that it cannot fully reflect the market demand that changes over time because the data collection point is temporary. As market demands change over time, including seasonal factors and major corporate public recruitment timings, continuous data monitoring and repeated experiments are needed to achieve more accurate matching. The results of this study can be used to suggest the direction of improvement of SQF in the SW industry in the future, and it is expected to be transferred to other industries with the experience of success in the SW industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.3
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• pp.53-65
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• 2013

In Korea recently the consumption of coffee has been drastically increased and majority of people who are more than $20^{th}$ are drinking more than a cup of coffee every day. Nowadays coffee a kind of essential items in modern urban society. As the popularity of the coffee is increasing, As the coffee consumption is growing, the studies on coffee also have been increased. Many of the studies on coffee were focused on the consumer attitudes, coffee shops and franchise coffee shops, and coffee components or ingredients. As the products of the coffee are becoming diverse, the consumers of coffee also becoming diverse. There was a study showing that coffee has variety of types, and that motivations and attitudes for coffee consumption are different depend on demographic statistics such as age and life styles. On this study main focus was life style and consumer's motivation on coffee consumption. For this study the survey was conducted on the people living in Seoul City and Kyengkido from March 1, 2013 to March 31, 2013. 600 questionnaires were distributed and 480 were collected and 470 were used for analysis of this study. The statistics program used in this study was SPSS. The method used in the analysis wee factors analysis test, reliability test, validity test, t-testy, One-Way ANOVA, and regression analysis. In this study according to the factor analysis, the life styles were classified the following six categories ; wellbeing pursuit, taste pursuit, atmosphere pursuit, dine-out pursuit, instant pursuit, and economic value pursuit. The factors of coffee consumption motivation were 6; wellbeing consumption motivation, changing mood consumption motivation, social consumption motivation, habitual consumption motivation, and emotional consumption motivation. The demographic factors used in this study were age, marital status, occupation, educational background, residence, income, and eating-out expenses. The hypothesis used in this study were two. The first hypo-thesis was whether the coffee consumption was affected by the life styles. The second hypo-thesis was whether there was any statistical differences on the motivation of coffee consumption according to the characteristics of life style. The outcome of this study demonstrated that life styles had partial impact on coffee consumption motivations. According to the characteristics of the life style, except for the habitual consumption motivation, all the other factors showed statistical differences on coffee consumption motivations according the characteristics of life styles.