• Journal of fish pathology
• /
• v.32 no.1
• /
• pp.37-43
• /
• 2019

Due to the rapid global expansion of aquaculture industry during the past decades, production volume of aquatic organisms has accordingly grown. This has been accompanied by a rise in the incidence of diseases in aquatic organisms, leading to an increased use of aquatic medicines. While aquatic medicines are essential for the prevention and treatment of diseases of aquatic organisms, misuse can cause evolution of antibiotic-resistant bacteria and pose serious problems to the safety and hygiene of fisheries products. In this study, we surveyed and compared, by analyzing data compiled by all national control centers for aquatic animal diseases in South Korea, to estimate the amount of aquatic medicines sold in different regions between 2012 through 2015. Since we also examined the marketing routes of aquatic medicines, this basic data can be utilized for policy implementation to improve drug safety. In the future research, however, it will be clearly necessary to estimate directly the amounts of drugs actually applied to aquaculture organisms. The current sales figure data should be helpful for preparation of an effective system for aquatic drug use management.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.520-527
• /
• 2019

In this study, the technical level and competence of Chungbuk region manufactures were diagnosed and implications for efficiency improvement of cooperation with local universities were derived. The results are as follow. First, in Chungbuk area, 75% of the skilled workers are medium-skilled and high skilled workers. And the life cycle of production products was found to have entered middle/old age. In addition, the industries were overestimating its technology capabilities, including marketing and sales technology, and management technology. Therefore, local universities should develop differentiated program such as technology transfer and commercialization support so that companies can nurture new industries and it is necessary to improve understanding of reality and future prediction ability through various education and seminars. Second, universities in Chungbuk province have failed to meet the practical demands of industry by providing general educational programs such as lifelong education curriculum, rather than the practical training required by industry. First of all, industries needed the practical training programs such as human resource empowerment, technical education and workers' retraining for local industry development. In addition, industries were expected to provide relevant knowledge and infrastructure such as testing, analysis, participation in technology development such as commissioning and joint research. Therefore, universities should prepare customized Industry-Academia Cooperation Programs through industry demand survey in planning. Also, it is necessary to establish various connection points with industry to ensure that industry-academia cooperation will continue and achieve results. Third, the technology of the industries in Chungbuk province was found to be very unrelated to the next generation regional strategic industries. This is not shared vision between industry and local government, Industry-Academia Cooperation Programs will serve as a platform to organize various community entities. Universities will be able to play a key role in between industries and local governments.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.1
• /
• pp.47-62
• /
• 2021

Purpose: Our purpose in this study was to examine the strategies for the development of watermelon industry using unstructured big data analysis. That is, this study was to look the change of issues and consumer's perception about watermelon using big data and social network analysis and to investigate ways to strengthen the competitiveness of watermelon industry based on that. Methodology: For this purpose, the data was collected from Naver (blog, news) and Daum (blog, news) by TEXTOM 4.5 and the analysis period was set from 2015 to 2016 and from 2017-2018 and from 2019-2020 in order to understand change of issues and consumer's perception about watermelon or watermelon industry. For the data analysis, TEXTOM 4.5 was used to conduct key word frequency analysis, word cloud analysis and extraction of metrics data. UCINET 6.0 and NetDraw function of UCINET 6.0 were utilized to find the connection structure of words and to visualize the network relations, and to make a cluster of words. Results: The keywords related to the watermelon extracted such as 'the stalk end of a watermelon', 'E-mart', 'Haman', 'Gochang', and 'Lotte Mart' (news: 015-2016), 'apple watermelon', 'Haman', 'E-mart', 'Gochang', and' Mudeungsan watermelon' (news: 2017-2018), 'E-mart', 'apple watermelon', 'household', 'chobok', and 'donation' (news: 2019-2020), 'watermelon salad', 'taste', 'the heat', 'baby', and 'effect' (blog: 2015-2016), 'taste', 'watermelon juice', 'method', 'watermelon salad', and 'baby' (blog: 2017-2018), 'taste', 'effect', 'watermelon juice', 'method', and 'apple watermelon' (blog: 2019-2020) and the results from frequency and TF-IDF analysis presented. And in CONCOR analysis, appeared as four types, respectively. Conclusions: Based on the results, the authors discussed the strategies and policies for boosting the watermelon industry and limitations of this study and future research directions. The results of this study will help prioritize strategies and policies for boosting the consumption of the watermelon and contribute to improving the competitiveness of watermelon industry in Korea. Also, it is expected that this study will be used as a very important basis for agricultural big data studies to be conducted in the future and this study will offer watermelon producers and policy-makers practical points helpful in crafting tailor-made marketing strategies.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.14 no.3
• /
• pp.193-200
• /
• 2021

Recently, posts and opinions on tourist attractions are actively shared on social media. These social big data provide meaningful information to identify objective images of tourist destinations recognized by consumers. Therefore, an in-depth understanding of the tourist image is possible by analyzing these big data on tourism. The study is to analyze destination images in Gangwon-do using big data from social media. It is wanted to understand destination images in Gangwon-do using semantic network analysis and then provided suggestions on how to enhance image to secure differentiated competitiveness as a destination for tourists. According to the frequency analysis results, as tourism in Gangwon-do, Sokcho, Gangneung, and Yangyang were mentioned at a high level in that order, and the purpose of travel was restaurant tour, gourmet food, family trip, vacation, and experience. In particular, it was found that they preferred day trips, weekends, and experiences. Four suggestions were made based on the results. First, it is necessary to develop various types of hotels, accommodation facilities and experience-oriented tour packages. Second, it is necessary to develop a day-to-day travel package that utilizes proximity to the Seoul metropolitan area. Third, it is necessary to promote traditional restaurants and local food. Finally, it is necessary to develop tourist package suitable for healing and family travel. Through this research, the destination image of Gangwon-do was identified and a tourism marketing strategy was presented to improve competitiveness. It also provided a theoretical basis for the use of the big data of tourism consumers in the field of tourism business.

• (The) Korean Journal of Advertising
• /
• v.27 no.4
• /
• pp.71-90
• /
• 2016

Managers of firms often wonder whether advertising expenditure is a mere expense or an investment with foreseeable future returns. When top management makes a decision on the level of advertising expense, it must consider whether an increase in advertising spending will positively affect brand loyalty and the increased brand loyalty will positively affect profitability and firm value. We investigate the industry-specific effects of advertising spending on marketing and the effect of loyalty on financial performances using top companies in Korea, specifically, 184 firms' data from year 1998 to 2014. The empirical results of a fixed effect model indicate that the effects of advertising on customer satisfaction index and loyalty on the firms' financial performance are positive. In service industry, unlike manufacturing industry, advertising has a significantly positive effect Brand Loyalty. In addition, Brand Loyalty had positive impacts on ROA and ROE as profitability index, and Tobin's q, a market-value index. The research results suggest that advertising in service industry should be considered as customer satisfaction investment and the increased Brand Loyalty as a profit for present and a business investment for the future respectively.

• FLOWER RESEARCH JOURNAL
• /
• v.26 no.4
• /
• pp.209-215
• /
• 2018

The survey conducted with 120 florists in Korean domestic flower shops to investigate the use and awareness of floral preservatives in Korea. As a result, only 19.8% of the domestic florists use floral preservatives frequently in their shops, whereas 45.5% do not use them at all, suggesting very low use frequency. Korean domestic florists considered the use of floral preservatives mostly for storing cut flowers to preventing bacteria growth. For the reasons not to use floral preservatives, 51.4% of the Korean domestic florists did not value its usefulness, showing a lack of awareness of floral preservatives. However, 44.2% of the florists who had the experience with floral preservatives satisfied with the effect of floral preservatives, and 49.5% of the respondents positively answered to recommend floral preservatives to others. General awareness on floral preservatives among Korean domestic florists was positive. 50.5% of the florists with the experience with the floral preservative had the high intention to re-purchase the flower preservatives. The low use frequency and lack of recognition of floral preservatives in Korea were likely due to very few floral preservative brands and little advertising. However, the high satisfaction level and repurchase intention rate shown by the florists indicates that increasing advertising and education for the floral preservatives would improve the accessibility and awareness of the products and their effects increasing the opportunity to use floral preservatives among Korean domestic florists, further enhancing consumers' satisfaction by improving the cut flower quality and its vase life.

• The Journal of the Korea Contents Association
• /
• v.21 no.1
• /
• pp.258-267
• /
• 2021

This study attempted an empirical analysis study on the Meal Kit Product, whose interest and demand continued to increase according to the eating out trend in the Untact era. In addition, this study attempted to investigate the relationship between the factors of Home Meal Replacement Meal Kit Product Selection Attributes, Consumers Satisfaction, and Other Recommendation Intention. Convenience sampling was used for consumers with experience in using Meal Kit Products released by food service companies and start-up companies. The investigation period was conducted for about one month from July 01, 2020, and the final 285 copies were used for analysis. The SPSS 21.0 statistical package program was used to verify the hypothesis. As a result of the analysis, the price (β=.241), convenience (β=.317), and diversity (β=.191) of Hypothesis 1 had a significant effect on Consumers Satisfaction. Price (β=.482), convenience (β=.133), and diversity (β=.342) were found to have a significant effect on the intention to recommend others. It was analyzed that Hypothesis 3's Consumers Satisfaction (β=.443) had a significant effect on Other Recommendation Intention. Finally, through this study, we expect to be provided as basic research data related to Meal Kit Product. It is intended to be presented as a theoretical basis for the use of marketing and direction for the development of milk kit products for catering companies and restaurants.

• Knowledge Management Research
• /
• v.22 no.2
• /
• pp.95-117
• /
• 2021

In this study, we investigate which alternatives to choose when giving a gift, according to the giver's relationship with the receiver. In particular, we study which alternatives are preferred when the prices are approximately the same: products with high-brand status but low-model ranking or products with low-brand status but high-model ranking. Leclerc, Hsee, and Nunes(2005) conceptualized the relative preference between a low-ranking model of a high-status brand and a high racking model of a low-status brand. The category effect is the preference for lower-ranking models of high-status brands. Meanwhile, the ranking effect refers to the preference for higher-ranking models of low-ranking brands. Based on construal level theory, the current study suggests that the category and ranking effects vary depending on the giver's relationship (vertical vs. horizontal) and intimacy (distant vs. close) with the person who will receive the gift. We manipulate the relationship and intimacy of the subject receiving the gift and verify the interaction effect. Results reveal that the giver exhibited a category effect in vertical relationships in which the psychological distance was far from the relationship. However, the ranking effect was found in horizontal relationships in which the psychological distance was close. Lastly, the gift selection significantly depends on the level. Overall, this study showed that when choosing a gift, the selection of a low-ranking model of a product from a high-tier brand or a high-ranking model from a low-tier brand might vary depending on the type of relationship and the level of intimacy. In addition, our findings provided managerial implications in targeting and marketing communication strategies based on product status.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.212-220
• /
• 2021

National R&D investment has steadily increased, reaching number 5 in the world as of 2018. However, for public technology commercialization, the level of discovery of policy models through various cooperation initiatives between government ministries is insufficient, and the performance system that can spread technology commercialization is also limited. In this respect, in order to create results in public technology commercialization, it is necessary to prepare alternatives to strengthen multi-ministerial policy cooperation and increase policy execution power. In this paper, we analyzed the current state of national R&D projects by major ministries and suggested an optimized technology commercialization plan through analysis of the structure, budget, and form of each project. In particular, an alternative in terms of policy efficiency was suggested by analyzing the problems of policy discovery that have not been studied previously. This study is of great significance in that it diagnosed problems of public technology commercialization in terms of the lack of systematic research on public technology commercialization and suggested policy advancement for the spread of technology use and the strategic direction in terms of commercialization.

• Korean Journal of Poultry Science
• /
• v.47 no.4
• /
• pp.247-254
• /
• 2020

This study examined how consumer choices (i.e., selecting food safety certified products, health-related products, and familiar brands) affect the purchase of Korean native chicken (KNC) and the demographics that influence KNC purchases using secondary consumer panel data from the Rural Development Administration of Korea. The grocery purchase data from 654 Korean households between 2017 and 2019 were used; the propensity for food safety certified products was measured by the purchasing frequency of Good Agricultural Practice (GAP) and Hazard Analysis and Critical Control Point (HACCP) products, and the propensity for health-related products was measured by the purchasing frequency of home meal replacement (HMR) and hedonic products. The propensity to purchase familiar brands was measured using a questionnaire. Logistic regression was used to examine the determinants of the KNC purchase experience, and multiple linear regression was used to determine the factors that influenced the KNC purchase frequency. The results showed that unemployed women purchased more safety certified products, health-related products, familiar brands, and KNC. These findings suggest that targeting consumers with differential marketing strategies may help promote KNC consumption. This study identified factors that influence KNC purchases, which is important for understanding consumer behavior and revitalizing the market.