• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.161-167
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• 2016

Distribution channels are changing its industry paradigm from quantitative increase to qualitative improvement. In addition, it incorporates new characteristics and consumption tread of customers and the core value of service is developing focused around on online to offline (O2O) business model of omnichannel. In this respect, companies are integrating various distribution channels and in order to provide high content business service to customers, their interest in finding a new business strategy is increasing. Currently, most of the service being provided to customers are formed based on distribution structure centered around big companies and financial industry and the problems faced by small to medium and micro enterprises, which are expansion and improvement of channels, discovery of new distribution channels and finding O2O marketing strategy, can be said as very important task. Accordingly, this research purports to create added values which can serve as the driving force of growth of "creative economy" by improving distribution channels in which anyone who incorporates needs of smart consumers can enter into the smart commerce market and to further form sustainable win-win market that is strategic through business platforms for small to medium and micro enterprises therefrom.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.121-128
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• 2024

With the recent rise in the use of AI-based online translation tools, interest in their methods and effects on education has grown. This study involved 30 prospective elementary school teachers who completed an English writing task using an AI-based online translation tool. The study focused on assessing the impact of these tools on English writing skills and their practical applications. It examined the usability, educational value, and the advantages and disadvantages of the AI translation tool. Through data collected via writing tests, surveys, and interviews, the study revealed that the use of translation tools positively affects English writing skills. From the learners' perspective, these tools were perceived to provide support and convenience for learning. However, there was also recognition of the need for educational strategies to effectively use these tools, alongside concerns about methods to enhance the completeness or accuracy of translations and the potential for over-reliance on the tools. The study concluded that for effective utilization of translation tools, the implementation of educational strategies and the role of the teacher are crucial.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.2
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• pp.232-249
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• 2022

As the postsecondary school-age population continues to decline, the competition among universities to attract potential students has intensified. As an alternative, we propose to introduce a collaborative marketing strategy to universities to gain the attention of precollege students and parents. This study examines perceived fit, the prestige of university and fashion brands, consumption values, and the category of fashion brands in the context of collaboration between university identity and fashion brands. Utilizing an online survey, we collected 391 responses. The results indicate that perceived fit between universities and fashion brands has a significant impact on the purchase intention of collaborative university merchandise. In addition, the prestige of fashion brands plays a key role, while the prestige of universities has no direct effect on purchase intention. However, the indirect effect of university prestige on purchase intention mediated by perceived fit is significant. Also, this study confirms that social value and emotional value have significant impacts on purchase intention. These findings present a guideline for selecting a collaborative partner, which is the most important task in a collaboration strategy. Finally, merchandising strategies reflected consumption values based on precollege students and their parents' needs are proposed.

• The Research Journal of the Costume Culture
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• v.15 no.5
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• pp.875-887
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• 2007

The purpose of this study is to provide the fashion industry in Korea with materials that could enhance its international competitiveness by suggesting marketing strategies for fast fashion brands after taking product, price, place, and promotion into consideration. The product strategy should focus on developing products that accurately reflect the general market trend and consumer demand, selecting optimal materials, and pursuing internal production. This, coupled with strategic cooperation with designers, will ensure reliable quality and enhance the brand image. The pricing strategy should place greater emphasis on reducing production costs. Diverse task outsourcing and design competition, for instance, can lower the cost of design development. The place strategy should be set according to the operation of a systematic and efficient distribution system based on SPA, an automatic delivery system, sales or return system, speed control system, and a value chain that consists of horizontal business alliances. The promotion strategy should be run under the central control of the headquarters using various unique VMDs. Furthermore, online marketing campaigns, spectacular fashion shows, design competitions, catalogue marketing campaigns, and other new sales promotion schemes could all be introduced.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.385-396
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• 2019

This study was conducted to explore the characteristics of learner who showed free riding behavior in online collaborative learning. For this, 290 students from three universities in the metropolitan area were studied. The collected data are as follows. Learner characteristics are learning strategy, learning motivation, academic retardation behavior, and learning disposition. Interaction distinguished between frequency and type of message. Interaction levels were collected with frequency. The subjects with less than 5 interaction frequencies were defined as free-riding students. 43 students were classified as free riders. Learner characteristics were analyzed by cluster analysis. As a result, the learner characteristics were divided into five groups. All the free riding students belonged to 4 groups. The learner characteristics of 4 groups are as follows. First, the level of the learning strategy is very low. Second, learning motivation has a high tendency toward performance - oriented approach and high tendency to avoid performance. This tends to deliberately avoid learning. Third, the level of delayed behavior is high. This is deliberately putting off student activities. Fourth, learning tendency is high in academic anxiety, task value, self efficacy and learning belief are very low. This is a lack of confidence in learning.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.459-469
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• 2022

This study aims to provide basic data for the development of teaching methods to improve the performance confidence of performing core basic nursing skills in nursing students while availing of online education owing to COVID-19. Data were collected from 146 students in the Department of Nursing at N University located in C city. The collected data was analyzed using descriptive statistics, difference, correlation analysis, and multiple regression by using SPSS 23.0 program.. The subjects' performance confidence of core basic nursing skills was dependent on self-directed learning readiness (r=.368, p<.001), intrinsic goal motivation (r=.232, p=.005), extrinsic goal motivation (r=.344, p<.001), task value (r=.237, p=<.001), control of learning beliefs (r=.262, p=<.001), and self-efficacy for learning and performance (r=.443), p<.001) with a significant positive correlation. The results indicate that the factors influencing the subjects' performance confidence of core basic nursing skills were the 4th grade (β=0.413, p<.001), extrinsic goal motivation (β=0.307, p<.001), and self-efficacy for learning and performance (β=0.316, p=.005), and the explanatory power was 35.8% (F=8.354, p<.001). The research results showed that it is necessary to develop and apply various online-centered teaching and learning methods to increase the extrinsic goal motivation and self-efficacy for learning and performance of nursing students to enhance their performance confidence of core basic nursing skills. This will serve as a basis for preparing effective online centered nursing education strategies to improve performance confidence of core basic nursing skills.

• Journal of Global Scholars of Marketing Science
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• v.17 no.1
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• pp.101-122
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• 2007

Recently, as internet shopping mall users rapidly, a form of shopping changed from off line to on line. The rapid growth of customers and transaction volume through evolution of new media, internet, brings new problems to internet marketers. It is the most important task that how internet shopping mall operators obtain their customers trust and repeat buying. This empirical research investigates online shoppers for their trust dimensions for online retailers. The study aimed to determine whether e-trust antecedents(perceived reputation, perceived quality, perceived value) influence trust dimension and whether the multidimensional trust contributed differently to perceived risk and willingness to depend on e-retailers. Consequences of the research are as follows: First, it reveals that of reputation, web site quality of the internet shopping mall have influence upon trust dimension. Second, the higher level of trust consumers have, the higher level of willingness to depend and intent to revisit on the retailers they have. But level of perceive risk consumers have not influences on willingness to depend on the retailers. It is necessary for internet shopping mall to development its reputation and familiarity to obtain customer's trust. Accordingly, this research will be helping internet shopping mall insight for marketing strategies, constantly should study about action and mind of consumer.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.187-204
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• 2016

Document classification based on emotional polarity has become a welcomed emerging task owing to the great explosion of data on the Web. In the big data age, there are too many information sources to refer to when making decisions. For example, when considering travel to a city, a person may search reviews from a search engine such as Google or social networking services (SNSs) such as blogs, Twitter, and Facebook. The emotional polarity of positive and negative reviews helps a user decide on whether or not to make a trip. Sentiment analysis of customer reviews has become an important research topic as datamining technology is widely accepted for text mining of the Web. Sentiment analysis has been used to classify documents through machine learning techniques, such as the decision tree, neural networks, and support vector machines (SVMs). is used to determine the attitude, position, and sensibility of people who write articles about various topics that are published on the Web. Regardless of the polarity of customer reviews, emotional reviews are very helpful materials for analyzing the opinions of customers through their reviews. Sentiment analysis helps with understanding what customers really want instantly through the help of automated text mining techniques. Sensitivity analysis utilizes text mining techniques on text on the Web to extract subjective information in the text for text analysis. Sensitivity analysis is utilized to determine the attitudes or positions of the person who wrote the article and presented their opinion about a particular topic. In this study, we developed a model that selects a hot topic from user posts at China's online stock forum by using the k-means algorithm and self-organizing map (SOM). In addition, we developed a detecting model to predict a hot topic by using machine learning techniques such as logit, the decision tree, and SVM. We employed sensitivity analysis to develop our model for the selection and detection of hot topics from China's online stock forum. The sensitivity analysis calculates a sentimental value from a document based on contrast and classification according to the polarity sentimental dictionary (positive or negative). The online stock forum was an attractive site because of its information about stock investment. Users post numerous texts about stock movement by analyzing the market according to government policy announcements, market reports, reports from research institutes on the economy, and even rumors. We divided the online forum's topics into 21 categories to utilize sentiment analysis. One hundred forty-four topics were selected among 21 categories at online forums about stock. The posts were crawled to build a positive and negative text database. We ultimately obtained 21,141 posts on 88 topics by preprocessing the text from March 2013 to February 2015. The interest index was defined to select the hot topics, and the k-means algorithm and SOM presented equivalent results with this data. We developed a decision tree model to detect hot topics with three algorithms: CHAID, CART, and C4.5. The results of CHAID were subpar compared to the others. We also employed SVM to detect the hot topics from negative data. The SVM models were trained with the radial basis function (RBF) kernel function by a grid search to detect the hot topics. The detection of hot topics by using sentiment analysis provides the latest trends and hot topics in the stock forum for investors so that they no longer need to search the vast amounts of information on the Web. Our proposed model is also helpful to rapidly determine customers' signals or attitudes towards government policy and firms' products and services.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.443-449
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• 2017

Since usage of smartphone becomes popular, Ecology of smart media based on smartphone is creating new ecological system of information. This research is for evaluating usability and sustainability of application due to development of smartphone usage in these days. For the research, precedent researches were analyzed and hypothesis were set up based on those researches. Then, iCloud Calendar and Never Calendar, which are two major calendar applications, were evaluated by in-depth interview and measuring task performance time of interviewees, and used these results to verify hypothesis. Then verify hypothesis through the research and analyze which type of users focus on aesthetic impression, and which users focus on usability and practicality. This research is to analyze success and failure points of Calendar Applications' user experience design, and suggests guideline for future transformation of offline to online.

• Quality Improvement in Health Care
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• v.30 no.1
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• pp.33-43
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• 2024

Purpose:The acute hospital accreditation program launched in South Korea has shown positive effects on safety culture and quality of care. However, relative weights have not yet been investigated for accreditation criteria with a hierarchical structure. This study aimed to derive the relative weights of acute-care hospital accreditation criteria. Methods: We conducted an online survey using the analytic hierarchy process (AHP) technique to assess the validity, importance, and urgency of acute hospital accreditation criteria. The AHP online survey link was distributed in November 2022 after obtaining informed consent from 10 experts in hospital accreditation. Results: 'Basic value system' ranked highest, while 'patient care system' ranked second in terms of validity, importance, and urgency. 'Performance management system' had the lowest validity and urgency, while 'organizational management system' carried the lowest importance. Within the 'patient care system' domain, 'surgery and anesthesia sedation management' scored highest in validity and importance, and 'patient care' scored highest in urgency. 'Care delivery system and evaluation' received the lowest scores for all three aspects. In the 'organizational management system' domain, infection control ranked highest in terms of validity, importance, and urgency. The lowest validity was observed for 'management and organizational operation' and the lowest importance and urgency were noted for 'human resource management'. Conclusion: The weights for validity, importance, and urgency, as shown in each domain and chapter, and the number of measurable elements included, are largely inconsistent. This study will contribute to the development of the structure and scientific improvement of accreditation standards.