Currently, the consumption process of Medical Marijuana is complicated, so it is necessary to provide patient-centered services. This study defined the consumption process of Medical Marijuana as three steps and five procedures for the user-centered consumption process direction study, and created a consumption journey map through user interviews with experience of purchasing Medical Marijuana to find the pain point in the consumption process. Then, based on the case studies of the United States and Canada, three scenarios applicable to Korea were presented according to the scope of implementation. It is meaningful that it is a user-centered study based on the experience of Medical Marijuana consumers and it is expected to be used as reference data in improving the consumption process in the future.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.12
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pp.515-522
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2018
Current signs of a downturn in South Korea's economy include the sharp drop in consumption. Considering internal and external complications such as the raise in minimum wage and fierce global competition, people's taste and purpose of consumption is shifting as well. Under such circumstances, crowdfunding provides a new investment and distribution channel for businesses in their initial stages. Crowdfunding can serve as a key driver of growth in early stages of business operations and lead to growth in consumption as a new distribution channel. This study explores how customers perceive the process of reward crowdfunding, especially when it comes to fairness in procedure, interaction, and distribution. In addition, we further seek how perceived fairness affects customer satisfaction and loyalty in the industry.
Traditional companies with offline stores were unable to secure large display space due to the problems of cost. This limitation inevitably allowed limited kinds of products to be displayed on the shelves, which resulted in consumers being deprived of the opportunity to experience various items. Taking advantage of the virtual space called the Internet, online shopping goes beyond the limits of limitations in physical space of offline shopping and is now able to display numerous products on web pages that can satisfy consumers with a variety of needs. Paradoxically, however, this can also cause consumers to experience the difficulty of comparing and evaluating too many alternatives in their purchase decision-making process. As an effort to address this side effect, various kinds of consumer's purchase decision support systems have been studied, such as keyword-based item search service and recommender systems. These systems can reduce search time for items, prevent consumer from leaving while browsing, and contribute to the seller's increased sales. Among those systems, recommender systems based on association rule mining techniques can effectively detect interrelated products from transaction data such as orders. The association between products obtained by statistical analysis provides clues to predicting how interested consumers will be in another product. However, since its algorithm is based on the number of transactions, products not sold enough so far in the early days of launch may not be included in the list of recommendations even though they are highly likely to be sold. Such missing items may not have sufficient opportunities to be exposed to consumers to record sufficient sales, and then fall into a vicious cycle of a vicious cycle of declining sales and omission in the recommendation list. This situation is an inevitable outcome in situations in which recommendations are made based on past transaction histories, rather than on determining potential future sales possibilities. This study started with the idea that reflecting the means by which this potential possibility can be identified indirectly would help to select highly recommended products. In the light of the fact that the attributes of a product affect the consumer's purchasing decisions, this study was conducted to reflect them in the recommender systems. In other words, consumers who visit a product page have shown interest in the attributes of the product and would be also interested in other products with the same attributes. On such assumption, based on these attributes, the recommender system can select recommended products that can show a higher acceptance rate. Given that a category is one of the main attributes of a product, it can be a good indicator of not only direct associations between two items but also potential associations that have yet to be revealed. Based on this idea, the study devised a recommender system that reflects not only associations between products but also categories. Through regression analysis, two kinds of associations were combined to form a model that could predict the hit rate of recommendation. To evaluate the performance of the proposed model, another regression model was also developed based only on associations between products. Comparative experiments were designed to be similar to the environment in which products are actually recommended in online shopping malls. First, the association rules for all possible combinations of antecedent and consequent items were generated from the order data. Then, hit rates for each of the associated rules were predicted from the support and confidence that are calculated by each of the models. The comparative experiments using order data collected from an online shopping mall show that the recommendation accuracy can be improved by further reflecting not only the association between products but also categories in the recommendation of related products. The proposed model showed a 2 to 3 percent improvement in hit rates compared to the existing model. From a practical point of view, it is expected to have a positive effect on improving consumers' purchasing satisfaction and increasing sellers' sales.
This study was performed to analyze the perception, preference and intake frequency of Jangachi(Korean Pickle) in order to develop low salt healthy Jangachi(Korean pickle). The findings are summarized as follows: The reason for eating Jangachi was 'Stimulation of appetite(47.8%).' The problem of commercial Jangachi was 'having high Na and sodium contents(59.1%).' The most influential improvement points for development of low-sodium Jangachi was 'Sanitarily distributed,' followed by 'not too salty,' 'low price,' and 'safe to store.' The important items of manufacture factor for making low-sodium Jangachi were safety(4.36 points), sanity, safekeeping and storage, and quality of ingredients. The important items of quality factor were taste(4.30 points), salinity, nutrition and temperature. The most preferred and frequently intake Jangachi was 'garlic Jangachi', followed by 'perillar leaf Jangachi', 'dried radish Jangachi', 'onion Jangachi', 'pepper Jangachi', 'garlic stem Jangachi', 'cucumber Jangachi', 'radish Jangachi', and 'soy leaf Jangachi'.
Won, Hye Suk;Lee, Hyo Jin;Kwak, Jin Sook;Kim, Joohee;Kim, Mi Kyung;Kwon, Oran
Journal of Nutrition and Health
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v.45
no.6
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pp.541-551
/
2012
In our previous work, we reported consumers' perceptions of body shape and weight control. In an ongoing effort, we analyzed the purchasing behavior, intake patterns, future purchasing decisions, and degree of satisfaction in individuals consuming dietary formula for weight control (DF) or heath/functional foods (HFFs) by using the same survey questions. Portfolio analysis for marketing strategy was also investigated. Subjects were divided into two groups according to consumption of DF or HFF during the previous year : DF group (n = 89) and HFF group (n = 110). Average intake frequency was $1.7{\pm}0.7$ per day for HFFs and $1.5{\pm}0.9$ per day for the DF, and the most prevalent form was pill (58.2%) for HFFs and bar (42.7%) for DF. Duration of intake was $3.1{\pm}2.3$ months for HFFs versus $3.9{\pm}3.5$ months for DF. The average degree of satisfaction was $3.6{\pm}0.6$ on a 5-point scale, meaning 'relatively satisfied'. For the weight control method to be used in the future, 44.5% of the HFF group selected 'HFFs' while 47.2% of the DF group selected 'DF', showing a tendency to use the current product type in the future. The average planned period for the intake was $3.8{\pm}3.7$ months for HFFs and $3.0{\pm}2.4$ months for DF (p < 0.05). The HFF group emphasized efficacy, functional ingredients of the products, reliable products, and higher satisfaction, whereas the DF group emphasized the added materials in addition to weight control effects.
Many countries implement an offset program as a method of the acquisition of modern military technology for enhancement of the domestic military strength. Offset agreements are made based on the value, not a monetary unit. The value should be above minimum threshold fixed by the related regulation. Hence, technology valuation model which is objective and reasonable is required vitally. At present, some defense related organizations such as DTaQ, ADD valuate the proposed technology by using their own method. However, due to the lack of differentiation of valuation analysis indicators for various technologies, existing offset valuation models are inadequate to consider whole characteristics of such technologies. In this paper, we developed four sets of offset valuation analysis indicators considering the characteristics of each technology, parts production, depot maintenance, military equipment performance upgrade, and R&D related technology, by using the Delphi method. Also, we structurized those indicators in each technology by using the factor analysis. Through applying developed indicators, it is expected that technology valuation in the offset program would be more credible and accurate. Ultimately, it gives greater bargaining power to negotiators in the procedure of the offset negotiation.
The imported foods, which are imported and sold domestically, are on the rise every year, and the scale is expected to be larger, including processing the imported raw materials. However, the origin of raw materials is indicated when declaring cargo for finished products of agricultural products, but the standardization of inspection information management system for raw materials is insufficient. In addition, there is a growing concern about the presence of residual pesticides or radioactivity in raw materials or products, and customer want to know production history information when purchasing agrifoods. It manages the hazard analysis of imported agricultural products, but most of them are global issues such as microorganisms, residual pesticides, food additives, and allergy components, etc. Therefore, it is necessary to share among the logistics entities in the entire transportation process the related data. Additionally, to do this, it needs to design an architecture and standardize business model. In this paper, it defines the architecture and the work-flow that occurs between the business process for collecting, processing, and processing information for tracking the status of imported agricultural products by steps, and develops XML message with UBL and the extracted conceptual information model. It will be easy to exchange and share information among the logistics entities through the defined standard model and it will be possible to establish visibility, reliability, safety, and freshness system for transportation of agricultural products requiring real-time management.
The using frequency of processed foods and dietician's perception against management of food service at 98 food service institutions located in Jeollabuk-Do were surveyed. Food service institutions included 13 hospitals,38 schools,40 enterprises, and 7 others. Single menu (75.5%) with two (33.7%) or three (57.1%) side dish was offered. In addition, the offering ratio of boiled water and spring water was 37.8 and 32.7%, respectively. The processed foods with high using frequency were kochujang (1.19), sesame oil (1.22), and doenjang (1.30), but that of leek, onion, Chinese cabbage, and radish were 4.95, 4.62, 4.60, and 4.26, respectively. Dietician's major affairs in all type of food service institutions were cooking (64.3%), purchase (48.0%), and personnel managements (39.8%). Dieticians, however, had a low perception against safety and nutrition management. Therefore, in order to prevent the outbreak of food-borne diseases, we estimated that the education and the conversion of dietician' perception against safety and nutrition management were needed.
The purpose of this study is to find the effect of restaurant brand image upon service quality, price acceptability, and revisit intention, and to propose the importance of brand image to operators and managers who manage restaurants. To accomplish the purpose of this study, sampling was taken among customers who visit six deluxe hotels and six family restaurants in Seoul. Six hundreds questionnaires were distributed to each hotel and restaurant and 487 valid samples were selected for statistical analysis. The questionnaire consists of 77 items about demographical characteristics, brand image, service quality, revisit intention, price acceptability, and spending patterns. SPSS WIN 10.0 was used for statistical analysis. A research model was built up and three null hypotheses were established. Based on theses research model and three null hypotheses, the test was conducted, and the results are as follows. Brand image has an effect upon service quality, and furthermore this can be preceding variable of service quality. Also Service quality has an effect upon price acceptability and revisit intention.
Kim, Hyun-Bok;Kim, Sung-Kuk;Seok, Young-Seek;Seo, Sang-Deok
Journal of Sericultural and Entomological Science
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v.53
no.1
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pp.50-54
/
2015
Mulberry fruit is common to keep a frozen storage because of the very high water content. Because freezing-storing cost is generated before the processing or sales, farmers of mulberry fruit production are weighted in financial burden. In addition, mulberry fruit has difficulty in expanding consumption by made in the simple processed products like the mulberry jam, mulberry juice, mulberry enzyme, alcohol, etc. Recent, frozen fruits including frozen blueberries, frozen strawberries, frozen mango, frozen rich, frozen mulberry fruit has been started to sell in the large discount stores and convenience stores. However, there is restricted sales in only special place that have the frozen distribution facilities. So, for the income improvement and consumption promotion of mulberry farmers facing these difficult situations, we developed the processing method of semi-dried mulberry fruit using the vacuum freezing dryer. The frozen mulberry fruit which was stored below $-40^{\circ}C$ is to dry in a vacuum freeze dryer, at $30{\sim}35^{\circ}C$, 23 ~ 24 hours. Semi-dried mulberry fruit seperated respectively. It had soft texture, and maintained shape, size and flavor. In particular, semi-dried mulberry fruit can be stored at room temperature.
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