• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.490-502
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• 2021

Horticultural facility farmers subscribe to crop accident insurance and insurance products secured by horticultural facilities in preparation for possible risks in the facility. Insurance is purchased to prepare for natural disasters such as typhoons, hail, frostbite, heavy rain, and strong wind damage covered by the product. In order to find out the effect of risk perception, which is a subjective perception of the risks of a given situation, on horticultural facility farmers' intention to purchase horticultural facility insurance products, the risk perception and insurance purchase intention were analyzed. A t-test was conducted to determine the impact relationship between farm size, insurance coverage, and risk perception, and multiple regression analysis was conducted to verify the effect of personal characteristics and behavioral factors such as subjective perception, reference group, media exposure, and compensation understanding. In addition, a three-step regression analysis by Baron & Kenny was conducted to confirm the mediating role of personal characteristics and behavioral factors in the relationship between risk perception and insurance purchase intention. As a result of the study, although there was no difference in farm size, it was analyzed that policy holders had a higher degree of risk perception than non-subscribers, and that compensation understanding had the greatest influence and subjective knowledge had the smallest influence. In addition, these four factors were verified to have a mediating effect on the relationship between risk perception and insurance purchase intention. These results are expected to provide practical help to the development and marketing activities of horticultural facility insurance products.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.66-75
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• 2021

The research is centered towards analyzing the usage status of YouTube platform and the nature of content supplied to YouTube by selecting Korean two Traffic Broadcastings Based on TBS(Traffic Broadcasting System) and TBN(Traffic Broadcasting Network). TBS operates 'Citizen's Broadcasting', which has 1.1 million subscribers among 13 YouTube channels, as its main channel. TBN has only 15,000 subscribers to its main 'TBN Tong', and YouTube channels in 12 local networks. TBS which has a dedicated YouTube manpower, is far ahead of TBN in terms of YouTube channel management and content composition. Both broadcasters are passive about creating new media content due to job stability. For the development of the YouTube platform for these two broadcasters, organizational changes within traffic broadcasting and changes in the perception of members are required, and live broadcasting and discovery of star creators are required. In the changing media environment two traffic broadcastings need a program distribution strategy that can be included in various media platforms.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.95-117
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• 2022

With the emergence of various media types due to the development of Internet technology, advertisers have difficulty choosing media suitable for corporate advertising strategies. There are challenging to effectively reflect consumer contextual information when advertising media is selected based on traditional marketing strategies. Thus, a recommender system is needed to analyze consumers' past data and provide advertisers with personalized media based on the information consumers needs. Since the traditional recommender system provides recommendation services based on quantitative preference information, there is difficult to reflect various contextual information. This study proposes a methodology that uses deep learning to recommend personalized media to advertisers using consumer contextual information such as consumers' media viewing time, residence area, age, and gender. This study builds a recommender system using media & consumer research data provided by the Korea Broadcasting Advertising Promotion Corporation. Additionally, we evaluate the recommendation performance compared with several benchmark models. As a result of the experiment, we confirmed that the recommendation model reflecting the consumer's contextual information showed higher accuracy than the benchmark model. We expect to contribute to helping advertisers make effective decisions when selecting customized media based on various contextual information of consumers.

• Clean Technology
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• v.28 no.2
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• pp.193-200
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• 2022

The term environmental, social and governance (ESG) was first used in the 2003 United Nations Environmental Programme Finance Initiative (UNEP FI). Among the three areas of ESG, environment refers to the impact of companies on the environment. Environmental factors address climate change policies and attempts to reduce emissions, waste and natural resource consumption. Social factors refer to the direction in which a company can improve the social impact of stakeholder includes employees, customers, communities, and governments involved in direct or indirect interaction with the organization itself and the company. Governance factors refer to stakeholders who make major decisions, the composition of the board of directors, their diversity and independence, and the internal policies that set limits and expectations for decision-making. Research related to ESG management is part of corporate social responsibility, sustainability, corporate or financial performance, and social responsibility investment. Through case studies and data-based empirical studies, it was confirmed that ESG management companies had positive results for most of the ESG related fields. Through literature analysis of domestic and international ESG history, introduction background, and management performance, this paper presents theoretical, practical implications by confirming that ESG's introduction and operation strategies are strong competitive strategies that directly affect corporate growth by creating attractive factors.

• The Korean Journal of Franchise Management
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• v.3 no.1
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• pp.46-72
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• 2012

Currently, the service industry share in domestic industry is increasing. Especially the size and marketability of the food service industry, which satisfies with basic human desire, is growing significantly. In this food industry, the coffee industry is recognized as a different area from the traditional food industry. The age of instant coffee at low price has gone. Today, more and more customers want to drink more delicious coffee and coffee that is good to their bodies. Especially as individualism has been rambling, more and more people enjoy individualism and want their personal space. This is why coffee speciality stores have been universalized. Also, as coffee speciality stores have been generalized, their own service quality is necessary and they should satisfy and affirm their loyalty to the customers in line with the enhancement of service quality. The purpose of this research is understanding of the impact of coffee specialty shop's service quality on affective commitment and repurchase intentions. The results of an empirical study in this research are as follows: First, compassion among the execution factors of coffee specialty shop's quality has a positive effect on both of affective commitment. But typicality and reactivity don't. Second, affective commitment have a positive effect on repurchase intentions. With a base of the above research result, we should comprehend that another service quality factor exists compared to other dining-out industry and establish marketing strategies in order to contribute to enhance repurchase intentions for the customers.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.59-68
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• 2024

China's huge population and industrial diversification have driven increased demand for IoT, and in a social environment where IoT technology is changing all aspects of personal and family life, including smart shopping, this study was conducted in Changchun, China. The study aimed to find ways to meet the Fashion needs of female college students living in the country and promote the development of the fashion product industry by improving the service quality of Chinese fashion product live commerce. The analysis results are as follows. First, the service quality characteristics of Chinese fashion product live commerce had a positive effect on customer satisfaction. Second, the service quality characteristics of Chinese fashion product live commerce had a positive effect on reuse intention. Third, customer satisfaction had a positive effect on reuse intention. Based on these results, it can be concluded that improving the service quality of live commerce can directly promote product sales and create direct economic benefits. In addition, based on the results of the study, which show that the service quality of fashion product live commerce affects customer satisfaction and reuse intention, it is judged that it will provide useful information in establishing marketing strategies for live commerce platforms by region and target.

• Journal of Industrial Convergence
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• v.22 no.1
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• pp.33-40
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• 2024

This study was intended to examine the effect of service quality on service failure and loyalty, and a survey was conducted online and offline with a focus on those in their 20s and 30s in Busan region. Specific details were as follows: First, service quality was found to have a statistically significant effect on live commerce loyalty(Hypothesis 1), live commerce service failure(Hypothesis 2), service failure of companies using the live commerce platform(Hypothesis 3), and repurchase intention of companies using the live commerce platform(Hypothesis 4). Second, service failure of live commerce companies had a significant effect on service failure of companies using the live commerce platform(Hypothesis 5), but did not have a significant effect on live commerce loyalty(Hypothesis 6) and repurchase intention of companies using the live commerce platform(Hypothesis 7). The service failure of companies using the live commerce platform did not have a statistically significant effect on loyalty of live commerce companies(Hypothesis 8), but had a statistically significant effect on repurchase intention of companies using the live commerce platform(Hypothesis 9). Finally, the repurchase intention of companies using the live commerce platform was found to have a statistically significant effect on live commerce loyalty(Hypothesis 10).

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.97-109
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• 2024

In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.

• Clinical and Experimental Pediatrics
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• v.48 no.4
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• pp.363-368
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• 2005

Purpose : The aim of this study is to identify where and how adolescents acquire cigarettes and how many were asked for identification while purchasing cigarettes. Methods : This study was conducted in 2003; participants were 2,200 students in middle and high schools, aged from 13 to 18 years old(males 1,098; females 1,102) in Ansan, Korea. The questionnaire assured them of anonymity, and self-administered in school. The data was analyzed with chisquare test for trends. Results : The prevalence of smoking was about 20 percent among respondents, was higher in males than in females, and in older students than in younger students(P<0.001). The most frequent source of cigarettes was purchased from a store(36.3 percent). About 29.2 percent of the students borrowed from friends or family members. By sex, the main sources of cigarettes were purchase from a store and borrowing. Younger students were borrowed more cigarettes; older students purchased more cigarettes from stores. Only 48.8 percent were asked for proof of age during their purchase. Of those asked for proof of age, about 73.3 percent answered that this made it difficult to buy cigarettes(P<0.001), and they thought that it was more difficult when asked for a photo ID than simply being asked their age(P=0.019). Conclusion : So far, there has been no systemic prevention of adolescents' smoking. It is difficult for minors to purchase cigarettes if asked for proof of age, but most minors go to stores to purchase cigarettes. Therefore, prevention efforts should include educating retailers not to sell cigarettes to minors and enforcing existing laws requiring youth to provide proof of age when attempting to buy cigarettes.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.9
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• pp.1388-1398
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• 2015

Quality Function Deployment (QFD) is the most complete and comprehensive method for translating what customers need from a product. This study utilized QFD to develop sauces made from Gochujang and to determine how to fulfill international customers' requirements. A customer survey and expert opinion survey were conducted from May 13 to August 22, 2014 and targeted 220 consumers and 20 experts in the U.S. and China. Finally, a total of 208 (190 consumers and 18 experts) useable data were selected. The top three customer requirements for Gochujang sauces were identified as fresh flavor (4.40), making better flavor (3.99), and cooking availability (3.90). Thirty-three engineering characteristics were developed. The results from the calculation of relative importance of engineering characteristics identified that 'cooking availability', 'free sample and food testing', 'unique concept', and 'development of brand' were the highest. The relative importance of engineering characteristics, correlation, and technical difficulties are ranked, and this result could contribute to the development Korean sauces based on customer needs and engineering characteristics.