• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1351-1356
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• 2019

The purpose of this study is to investigate the effect of personal factors and community factors on the quality of life based on the presence of chronic patients based on the Big Data Platform. As a method of study, second data of 2017 community health survey and Statistics Korea by City·Gun·Gu public office were used and a multi-level analysis was conducted after separating EQ-5D index, individual factor and community factor. As a result, men, age, education level, monthly household income, having economic activity, the number of sports infrastructure were positively associated with the quality of life, and subjective health not good, extremely perceived stress were negatively associated with the quality of life. Research will continue to provide a platform independent of hardware that can utilize the cloud and open source for medical big data analysis in the future.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.197-209
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• 2024

This study aimed to analyze recent research trends in Artificial Intelligence (AI) education within South Korea with the overarching objective of exploring the future direction of AI education. For this purpose, an analysis of 697 papers related to AI education published in Research Information Sharing Service (RISS) from 2016 to November 2023 were analyzed using word cloud and Latent Dirichlet Allocation (LDA) topic modeling technique. As a result of the analysis, six major topics were identified: generative AI utilization education, AI ethics education, AI convergence education, teacher perceptions and roles in AI utilization, AI literacy development in university education, and AI-based education and research directions. Based on these findings, I proposed several suggestions, (1) including expanding the use of generative AI in various subjects, (2) establishing ethical guidelines for AI use, (3) evaluating the long-term impact of AI education, (4) enhancing teachers' ability to use AI in higher education, (5) diversifying the curriculum of AI education in universities, (6) analyzing the trend of AI research, and developing an educational platform.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.1-10
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• 2021

Cyberbullying has become a severe issue and brought a powerful impact on the cyber world. Due to the low cost and fast spreading of news, social media has become a tool that helps spread insult, offensive, and hate messages or opinions in a community. Detecting cyberbullying from social media is an intriguing research topic because it is vital for law enforcement agencies to witness how social media broadcast hate messages. Twitter is one of the famous social media and a platform for users to tell stories, give views, express feelings, and even spread news, whether true or false. Hence, it becomes an excellent resource for sentiment analysis. This paper aims to detect cyberbully threats based on Naïve Bayes, support vector machine (SVM), and k-nearest neighbour (k-NN) classifier model. Sentiment analysis will be applied based on people's opinions on social media and distribute polarity to them as positive, neutral, or negative. The accuracy for each classifier will be evaluated.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.742-747
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• 2008

This paper is described the systematic activities of RCM to improve the availability for AREX railway system. The purpose of these activities are to maintain and enhance the reliability, availability, maintainability and safety, and to implement the effective maintenance for electrical and mechanical system including rolling stock, signalling, telecommunication, power supply, overhead catenary and platform screen door with impact to train operation.. The main activities consist of systematic failure and repair recording by integral information system, analysis and corresponding countermeasure. As applying these activities in opeartion and maintenance works, the availability of AREX railway system is going on improvement gradually, and maintenacne works are improved with these results.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.287-294
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• 2021

This research is a research on the convergence of beauty marketing businesses to find out the impact of omnichannel in the beauty industry on consumer behavior. The target was 299 copies of the self-answer questionnaire for male and female in their 20s-30s living in Seoul, using the SPSS21.0 program to analyze frequency, explore factors, correlation, and multiple regression analysis. According to the study, Omnichannels were related to consumer behavior, and the sub factors of Omni channels could be divided into exposure, benefits, review, reservation, and convenience. All sub-elements of Omni channels, except exposure, have a positive impact on customer satisfaction during consumer behavior, and all sub-elements of Omni channels have a positive impact on reuse intent during consumer behavior. Customer satisfaction has been shown to have a positive impact on reuse intentions. Therefore, it will provide good feedback for revitalizing the beauty industry. Therefore, research on omnichannel marketing strategies and activation of beauty platform are needed.

• Journal of Navigation and Port Research
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• v.42 no.3
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• pp.177-186
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• 2018

Designers need a lot of information to determine the principal dimensions in the initial stage of boat design, and most of the information they need can be obtained by investigating and analyzing similar existing boat data. In addition, the principal dimensions that are determined have an impact throughout the design process (basic/detailed design), which in turn leads directly to the stability and performance of the boat. Therefore, in this study, the initial design system for the boat (design support platform) was developed using a correlation analysis with existing data for more than 700 boats. It was confirmed that the designer could conveniently and reasonably derive and determine the principal dimensions for a boat in the initial design stage, for the 50ft-class of small and high-speed boats.

• The Korean Journal of Franchise Management
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• v.15 no.2
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• pp.39-56
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• 2024

Purpose: Delivery food continues to grow. In the past, restaurant companies directly hired delivery workers to deliver food, but now, restaurant companies use delivery service platform companies to carry out delivery work rather than directly hiring delivery workers. Therefore, this study seeks to determine the impact of delivery food benefits in the restaurant industry on brand image, trust, and word-of-mouth intention. Research design, data, and methodology: To test the hypotheses of this study, 400 questionnaires were distributed and 340 were collected. Among these, 321 questionnaires, excluding 19 questionnaires that were answered insincerely, were used in the final analysis. Result. First, delivery food benefits were found to have a significant impact on brand image and trust. Second, brand image was found to have a significant effect on trust and word-of-mouth intention. Third, trust was found to have a significant effect on word-of-mouth intention. Conclusions: First, existing research focused on studying the attributes of delivery food in the restaurant industry, but this study studied the benefits that consumers can obtain through purchase among these attributes. Second, delivery food restaurants need to design promotions and advertisements in a way that displays coupons, points, or mileage. Third, quick delivery of orders can be a competitive advantage for delivery food restaurants.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.79-96
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• 2023

This study analyzed the open peer review results for 585 papers in the field of social sciences in F1000Research, a representative OPR(Open Peer Review) platform, and checked the relationship between the number of cited-by, altmetrics and review score. In addition, by verifying whether the review score shows a moderating effect between the relationship between the utilization of the paper and the cited-by, it was confirmed whether the paper evaluated as high quality in the open review platform can promote the number of cited-by. As a result of the analysis, first, there was no significant difference in the number of cited-by between the approved and conditionally approved paper groups, but the converted review score and the number of cited-by showed a weak positive correlation (r = 0.40 - 0.60). Second, the review score showed a weak correlation with the altmetrics, and it was analyzed that review result could weakly predict the number of cited-by and social impact. Finally, it was verified that the review score performed a significant positive moderating effect (B=1.69, P < 0.01) in making the use of the paper lead to citation. As a result of the conditional effect test, it was verified that it showed the greatest effect(B=11.32, 95% CI [10.57, 12.08]) in the group of papers rated as the highest quality. Therefore, it was analyzed that the open review scores can help researchers select high quality papers and induce citations.

• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.129-134
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• 2022

This research investigates the effect of SMEs' digital transformation (DX) efforts in O2O platforms on customer engagement. Among the three DX stages (i.e., digitization, digitalization, and DX), this study focuses on digitalization, a practically viable DX phase for SMEs using O2O platforms. This study categorizes the DX efforts of SMEs into three: information diversity, responsiveness to customers, and the degree of functional use. To analyze the impact of these efforts on customer engagement, we conduct the zero-inflated negative binomial regression using the dataset of Naver Smartplace, one of the representative O2O platforms in South Korea. The analysis result confirms that all three factors have positive impacts on customer engagement. Therefore, this study demonstrates that employing O2O platforms can be an effective strategy for SMEs lacking resources to achieve successful DX.

• The Journal of Information Systems
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• v.26 no.4
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• pp.379-400
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• 2017

Purpose The purpose of this study is to investigate the effects of ICT on multilevel marketing organizations (MLMs) whose members are both salespeople and consumers. This study explores the effects of the latest ICT convergence on the direct selling, which is the oldest sales method, and suggests the direction for the development of network marketing. Therefore, we will propose the changes in direct sales brought by ICT and predict the future direction of network marketing in preparation for the 4th Industrial Revolution era. Design/methodology/approach Exploratory case study was the methodology selected for this paper. The case study enables the use of multiple methods for data collection and analysis. This study applies qualitative case-study methodology on Amway Korea, which is the top seller of MLM organizations, to better understand the impact of ICT. This study conducted an in-depth interview with four different levels of MLM members (e.g. membership, ruby, emerald, diamond) which are based on the qualification system of MLM organizations and observed their behaviors. Findings This study revealed that the ICT impact on network marketing organizations(MLMs) could be summarized as follows : new membership growth, easier communication with customers, increase in work efficiency, increase in organizational trust, change in educational environment, and increase in the use of social media. Based on the interview, we propose the changes of network marketing organizations in the fourth industrial revolution era and the future strategy of Amway Korea as follows: (1) retention of royal ABOs, (2) harmony with SMEs, (3) utilization of Big Data, (4) creation of IoT business model, and (5) construction of successful O2O business platform.