• Journal of Industrial Convergence
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• v.17 no.3
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• pp.31-38
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• 2019

This study examined the influence of nurse image, job value on the nursing professionalism of first year nursing students. Data were collected from May 7 to May 14, 2018 for 306 first year nursing students. The collected data were analyzed using SPSS 22.0. The average degree of nursing image at 4.12, job value score of 3.12, and nursing professionalism score of 3.98. Nursing professionalism was positively correlated with the nursing image(r=.823, p<.001) and job value(r=.492, p<.001). The significant variables explaining nursing image(${\beta}=.760$, p=.000) and job value(${\beta}=.134$, p=.000) These factors explained 69% of nursing professionalism. It is necessary to provide education that consider the nursing image, job value of nursing students to help them establish an acceptable view of nursing professionalism.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.21-27
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• 2019

The Internet of things is the infrastructure that can communicate with each other by exchanging information by installing antennas that can communicate with all things in the world. The reason why the Internet of Things is the core of the Fourth Industrial Revolution is that data is collected through the Internet to be. Technology of things Internet and Trend of Things Internet IoT (Internet of Things) is a concept that enables internet connection and communication between devices equipped with various sensors. It is the core IT trend of lot, technology such as big data, mobile, cloud And to provide information for the development of the industrial environment through research on the importance of the Internet of things, the core of the Fourth Industrial Revolution and the processing and analysis techniques of Big Data. By providing various security measures and future technologies, This study was conducted to contribute to management.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.15-20
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• 2019

The purpose of this study is to provide customized experience learning service platform that enables consumers to easily search for various content information about on - site experiential learning, exhibitions, events, and culture, and to provide services. To provide customized experiential learning information that meets the requirements of the consumer. Beacon technology implemented through this study is a BLE technology that broadcasts a URL in Eddystone format developed by Google. This means that even if a user does not install a separate application, Making it easier and faster to access. Based on this, when the database of local cultural contents is completed, it will be expanded to the whole country, and it is expected that more diverse and high quality self - directed cultural contents experiential learning activity education programs will be provided to consumers by diversifying contents and expanding the market.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.35-43
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• 2019

The purpose of this descriptive correlational study was to identify the mediated effects of self-leadership on the relationship between subjective health status and living satisfaction of female university students. After collecting data from the 400 female college students at A University in Incheon from November 14 to November 30, 2016, the frequency analysis, t-test, Spearman's rho, multiple regression analysis, and the Sobel test were conducted using the SPSS 21.0 program. The life satisfaction of students was different depending on age of 20, a freshman, experience in part-time jobs and subjective health status. It has been shown that self-leadership is partially mediated in the relationship between subjective health status and life satisfaction. The results of this study could be used as a basic data for increasing interest in subjective health status and for continuing to develop programs related to self-leadership in order to enhance the life satisfaction of female college students.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.45-52
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• 2019

A systematic review was conducted to identify components and convergent effects of simulation program using schizophrenia scenario in nursing education. Using 4 different databases, 226 articles were identified and 11 studies met the inclusion criteria. There were 5 qualitative studies, 5 quantitative studies and 1 study used mixed method design. The simulation incorporated various methods including standardized patients, role playing, simulator and virtual reality that majority studies(63.6%) used standardized patients. For the evaluation, studies examined diverse variables including knowledge, learning self competency, learning satisfaction and self directed learning. Considering complexity and difficulty of nursing for schizophrenia, future studies with well designed simulation program are required to prove its effectiveness.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.53-61
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• 2019

This study was conducted to explore the effects of Moral Sensitivity(MS), Biomedical Ethics Awareness(BEA) on Attitudes toward Withdrawal of Life-Sustaining Treatment(AWLST) of nursing students. The data were collected from May 1, 2018 to May 20, 2018 for 302 nursing students. The collected data were analyzed using SPSS 22.0. The average degree of MS was 3.45, BEA was 3.69, and AWLST was 3.36. MS was positively correlated with BEA(r=.149, p=.010) and AWLST(r=.223, p<.001). BEA was negatively correlated with AWLST(r=-.129 p=.025). Models including MS(${\beta}=.2.47$, p<.001) and BEA(${\beta}=-.166$, p=.003) explained 7% of variance in the AWLST. It is necessary to provide education that consider the MS, BEA and AWLST level of nursing students to help them establish an acceptable view of AWLST.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.63-70
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• 2019

This study was conducted to identify the empathy ability of nursing college students and prejudice and discriminatory behavior against the mentally ill and to analyze the relationship between them. The study included 281 nursing college students located on K province. Studies show that the empathy of nursing college students is positive for prejudice and discrimination behavior, negative correlation, prejudice and discriminatory behavior and that there are differences in empathy depending on whether they have experience in volunteer activities. Discriminatory behavior differed depending on the age and grade of the subjects. In order to reduce discriminatory behavior and prejudice among nursing college students, it will be necessary to increase direct and indirect experience opportunities to improve empathy and also to require systematic education and practical courses considering the characteristics of the subjects. This will contribute to improving the awareness and attitude of nursing college students as future professional nurses.

• Journal of Industrial Convergence
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• v.17 no.1
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• pp.17-24
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• 2019

The purpose of this study is to confirm the effects of the contents of the recording lectures through the automatic recording system of the nursing students on the program outcomes of the pediatric nursing. The study was designed using a nonequivalent control group pretest-posttest design. the subject of this study consisted of 104 nursing students(the experimental group of 52 and the control group of 52). Data were analyzed by ${\chi}^2$ test and independent t-test using SPSS 22.0. The effect of the first program outcome(PO1. We can integrate nursing skills based on various the liberal arts and the major knowledge into practice) of the experimental group was not confirmed, but the fifth program outcome(PO5. We can apply critical thinking based nursing processes and implement clinical inferences) was significantly higher than that of the control group. It is significant that this study presented the data to develop the class design method to improve the program outcomes of the nursing student at the present time which is operating the program outcomes based curriculum for nurse with core competency.

• Journal of Industrial Convergence
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• v.16 no.4
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• pp.33-46
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• 2018

Personal credit scoring is an effective tool for banks to properly guide decision profitably on granting loans. Recently, many classification algorithms and models are used in personal credit scoring. Personal credit scoring technology is usually divided into statistical method and non-statistical method. Statistical method includes linear regression, discriminate analysis, logistic regression, and decision tree, etc. Non-statistical method includes linear programming, neural network, genetic algorithm and support vector machine, etc. But for the development of the credit scoring model, there is no consistent conclusion to be drawn regarding which method is the best. In this paper, we will compare the performance of the most common scoring techniques such as logistic regression, neural network, and support vector machines using personal credit data of the financial institution in China. Specifically, we build three models respectively, classify the customers and compare analysis results. According to the results, support vector machine has better performance than logistic regression and neural networks.

• Journal of Industrial Convergence
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• v.15 no.2
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• pp.27-36
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• 2017

In this study, we analyzed service quality factors of O2O delivery app based on Kano model and survey, and classified service quality into several dimensions. As a result of the analysis, the one dimensional quality factors were accurate information transmission, variety of restaurants, diversity of payment methods, diversity of menu selection, discomfort resolution, kindness of service, taste and quality of food, hygiene and cleanliness, Attractive quality factors such as updated information, reliable reviews, various ordering methods, fast delivery, brand image, discount point payment and accumulation. Although the must-be quality factor did not appear, it turned out that the discomfort resolution was close to the must-be quality factor. The indifferent quality factors were informational services, events and promotions. The O2O delivery app market is continuing to grow and competition is getting more and more intense. The results of this study will help O2O delivery app vendors to establish strategies to focus on certain quality of service factors.