With the recent rapid increase in single-person households, food companies are releasing small packaging and small-capacity products regardless of product line such as beverages, fresh foods, and home snacks, and food consumption patterns are also changing. Meanwhile, as a series of accidents related to food safety occurred during cost-effective consumption pursuing price-performance, more consumers wanted to choose products that have been proven safe even with higher money due to food safety anxiety. Considering the concept of 'safety' of food, this study by using the 'ordered probit model' empirically investigated whether there is a difference in the degree of preference for safety in food consumption behavior between single-person and multi-person households. Summarizing the results, it was found that women rather than men, and elderly households among young and single-person households had a higher demand for food safety. The results of marginal effects considering food safety variables show that respondents with low frequency of delivery and take-out use are considering food safety more, and that single-person households are considering safety more than multi-person households. In the future, the population structure of Korea will continue to increase in single-person and elderly households, and women's economic activities will also continue to increase. Therefore, the growing home convenience food market needs marketing strategies to secure and emphasize food safety, such as sterilizing treatment technology for hygiene and safe container development from environmental hormones, and needs a lot of support and attention to meet changes in food culture trends and demographic structure.
Kim, Songmee;Jang, Seyoon;Lee, Yuri;Jin, Woojune;Kim, Ha Youn
Journal of the Korean Society of Clothing and Textiles
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v.46
no.5
/
pp.805-826
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2022
This study explored the process by which consumers purchase products from small fashion business owners via online and mobile channels. In addition, group types were classified given that the purchasing process depends on the consumers' life cycle. The consumer focus group interview (FGI) was conducted on 18 participants that were divided into six groups by age, work, and children. Results revealed that first, consumer journey comprised four stages. Factors influencing need recognition were "attention to information of social media influencer," "attention to information of affiliated groups," and "repeated advertising of SME products/brands." For information searching, "exploring purchase reviews," "environment for mobile shopping information exploration," and "continuous product tracking" were important factors. Purchasing and shopping stages were affected by "price-free, improvised purchase decision" and "convenient mobile payment system and point benefits." After the purchase, "active sharing and repeated purchase when satisfied" and "blocking relationships when dissatisfied" occurred. Second, six consumer groups based on the fashion life cycle are the "Platform lover," "Influencer follower," "Trust builder," "Novelty seeker," "Convenience seeker," and "New designer supporter." Ultimately, small business owners can develop the process of planning and selling fashion products more efficiently.
International conference on construction engineering and project management
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2005.10a
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pp.1028-1035
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2005
Traditional Industries were planning the major role for Taiwan's economy. However, we need to face the competition from developing countries. Moving manufacturing department to other low salary countries, such as China, can only temporarily release some limited pressure. The final and complete solutions are to equip on R&D, refine techniques, improve management capabilities, upgrade business, and reform physique. Currently there are some ERP systems on the market; however, they are designed for common purpose and difficult to introduce into industry. The expensive price is another factor to make them be popular. In this research we will Object Oriented, Visual Modeling, ER Model and Windows Environment to develop an Integrated Management System for Sports Requisites Industries (IMSSRI). We will integrate all information from all departments such as development, business, material administration, manufacture, shipping, and financial. When development people construct the all modules, components, cutting molds, materials and accessories, IMSSRI will calculate all needed materials and cost for each product. This cost will be used for quotation to report to our customers. When customers confirm the order, system will transfer all necessary materials into Material Administration System. IMSSRI can generate manufacturing forms and material raw lists for manufacture department. All related information such as stocking, returning goods, material requesting, and material returning can be integrated so we can control all details of the whole enterprise. Through the help of this system, we hope we can save man-power, reduce human mistakes, raise management capabilities for tradition manufacturing industries and create another possibility of eternal operating for Taiwan's Industries.
Lee, Tae-gyeom;Kim, Eun-Sol;Choi, Jin Ah;Kim, sangbum;Lee, Jae-Ho
Journal of Korean Society of Rural Planning
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v.28
no.4
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pp.83-91
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2022
The goal of this study is to promote the spread of environmentally friendly agricultural products, which have been receiving a lot of attention lately, as a way to improve food safety and quality. As a result of the increased labor input, increased production costs, and an aging population, environmentally friendly agriculture is making it more difficult for farmers to expand their enterprises. In the meantime, consumers find it difficult to spread eco-friendly agricultural products due to their high expectations for safety and quality, as well as the desire to purchase products at a reasonable price. Previous studies have revealed differences in perceptions between eco-friendly agricultural producers and consumers. In light of this, this study divided consumers based on their characteristics (such as age, purchase history, health concerns, etc.), and different policies were proposed in order to increase purchasing factors for each group based on their characteristics. In order to gather information for this study, general citizens were asked about their perceptions of eco-friendly agricultural products, future purchase intentions and awareness, reliability, necessity, purpose, and information sources. A two-step clustering analysis was conducted using nominal and continuous variables simultaneously. The paper presents the three derived group differences (senior organic interest group, middle-aged organic interest group, and indifferent young organics) as well as group differences for the purchasing/non-purchasing factor analysis and policy improvement for each group. An eco-friendly agricultural product distribution proposal was made at the end of this article.
In recent years consumers have become used to products geared toward a more convenient lifestyle, thus, the demand for salted-cabbage, for use in preparing Kimchi is increasing. This study aims to investigate purchasing factors, the satisfaction and demands of salted-cabbage, and to ascertain a marketing strategy for expanding the use of salted cabbage in food-service departments of schools. Self-administered questionnaires were collected from 131 buying agents who manage food materials for schools, and statistical data analysis was completed using the SPSS V.14.0 program. 46.9% of the participating respondents were from elementary schools, 27.7% from middle schools, and 25.4% were from high schools.. Most of the subjects (67.9%) recognized the salted cabbage retailed for foodservice, but 62.3% of these had not purchased them, due to both their lack of trust in the sanitation and raw material handling of the food product, and the high price. Respondents considered different factors when deciding whether or not to purchase: the origin (local or imported) of the cabbage, hygiene, and taste, as well as characteristics such as the cabbage weight, package weight, and package materials. The score of post-behavior intentions as well as overall satisfaction was rather high. Also, they perceived the need of strategic promotion for enlarging the market portion of salted-cabbage. These results will done the guidelines for diversifying the salted-cabbage market and for creating an added value of agricultural products in rural areas.
Journal of the Korea Society of Computer and Information
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v.28
no.4
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pp.151-163
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2023
This study aims to explore the perceptions of MZ's on eco-friendly consumption and their preferences for eco-friendly souvenirs. The top reasons for buying upcycling products include design, price, differentiation, and environmentalism, with design having the most influence on product purchase. Design is also a top consideration when buying upcycling souvenirs. Regarding environmental issues, they were most aware of the seriousness of environmental pollution and thought that recycling of fashion products was necessary. When it comes to eco-friendly fashion purchasing behaviors, the most common choice is to buy clothes that will last longer than those that are in fashion. Upcycling products are more likely to be purchased when there is a concern for the environment or an interest in eco-friendly products. In addition, those who have purchased upcycling products are more likely to be aware of and interested in eco-friendly fashion products and recycling of fashion products. Women are more likely than men to be concerned about environmental issues, and women are also more likely to be aware of upcycling souvenirs. In future research, it would be useful to study the relationship between upcycling products, environmental issues, consumer behavior, and upcycling souvenirs.
Journal of Practical Agriculture & Fisheries Research
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v.26
no.1
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pp.5-15
/
2024
China is the largest producer and consumer of mushrooms, and the development of China's mushroom industry poses a serious threat to Korea, which has similar mushroom production and consumption tendencies. China's mushroom industry produced only 50,000 tons around 1985 when statistical data began to be published, but by 2020, it has developed into an industry with annual production exceeding 40 million tons. The rapid development of the mushroom industry in China is due to high profitability, rapid funds turnover, rapid return on investment, active support from local governments, increased preference and consumption of healthy foods due to increased national income, expansion of overseas exports, and introduction of automated facility cultivation. Recently, there is a high possibility that mushroom production through automated facility cultivation in China will be excessive, so if measures are not taken, there is a high possibility that it will encroach on the Korean mushroom market. Therefore, in order to protect domestic mushroom farmers and industries, it is necessary to accurately identify and analyze the current status of China's mushroom industry.
Nowadays, Deep Learning (DL) technology is being used in several government departments. South Korea imports a lot of seafood. If the demand for fishery products is not accurately predicted, then there will be a shortage of fishery products and the price of the fishery product may rise sharply. So, South Korea's Ministry of Ocean and Fisheries is attempting to accurately predict seafood imports using deep learning. This paper introduces the solution for the fish import prediction in South Korea using the Long Short-Term Memory (LSTM) method. It was found that there was a huge gap between the sum of consumption and export against the sum of production especially in the case of two species that are Hairtail and Pollock. An import prediction is suggested in this research to fill the gap with some advanced Deep Learning methods. This research focuses on import prediction using Machine Learning (ML) and Deep Learning methods to predict the import amount more precisely. For the prediction, two Deep Learning methods were chosen which are Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM). Moreover, the Machine Learning method was also selected for the comparison between the DL and ML. Root Mean Square Error (RMSE) was selected for the error measurement which shows the difference between the predicted and actual values. The results obtained were compared with the average RMSE scores and in terms of percentage. It was found that the LSTM has the lowest RMSE score which showed the prediction with higher accuracy. Meanwhile, ML's RMSE score was higher which shows lower accuracy in prediction. Moreover, Google Trend Search data was used as a new feature to find its impact on prediction outcomes. It was found that it had a positive impact on results as the RMSE values were lowered, increasing the accuracy of the prediction.
Journal of the Korean Applied Science and Technology
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v.40
no.4
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pp.724-732
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2023
In this study, we tried to analyze the characteristics of color cosmetics information search and the major information of interest in the color cosmetics market after COVID-19 shown in the text mining analysis results by collecting data on online interest information of consumers in the color cosmetics market after COVID-19. In the empirical analysis, text mining was performed on all documents such as news, blogs, cafes, and web pages, including the word "color cosmetics". As a result of the analysis, online information searches for color cosmetics after COVID-19 were mainly focused on purchase information, information on skin and mask-related makeup methods, and major topics such as interest brands and event information. As a result, post-COVID-19 color cosmetics buyers will become more sensitive to purchase information such as product value, safety, price benefits, and store information through active online information search, so a response strategy is required.
Internet commerce has been growing at a rapid pace for the last decade. Many firms try to reach wider consumer markets by adding the Internet channel to the existing traditional channels. Despite the various benefits of the Internet channel, a significant number of firms failed in managing the new type of channel. Previous studies could not cleary explain these conflicting results associated with the Internet channel. One of the major reasons is most of the previous studies conducted analyses under a specific market condition and claimed that as the impact of Internet channel introduction. Therefore, their results are strongly influenced by the specific market settings. However, firms face various market conditions in the real worlddensity and disutility of using the Internet. The purpose of this study is to investigate the impact of various market environments on a firm's optimal channel strategy by employing a flexible game theory model. We capture various market conditions with consumer density and disutility of using the Internet.
shows the channel structures analyzed in this study. Before the Internet channel is introduced, a monopoly manufacturer sells its products through an independent physical store. From this structure, the manufacturer could introduce its own Internet channel (MI). The independent physical store could also introduce its own Internet channel and coordinate it with the existing physical store (RI). An independent Internet retailer such as Amazon could enter this market (II). In this case, two types of independent retailers compete with each other. In this model, consumers are uniformly distributed on the two dimensional space. Consumer heterogeneity is captured by a consumer's geographical location (ci) and his disutility of using the Internet channel (${\delta}_{N_i}$).
shows various market conditions captured by the two consumer heterogeneities.
(a) illustrates a market with symmetric consumer distributions. The model captures explicitly the asymmetric distributions of consumer disutility in a market as well. In a market like that is represented in
(c), the average consumer disutility of using an Internet store is relatively smaller than that of using a physical store. For example, this case represents the market in which 1) the product is suitable for Internet transactions (e.g., books) or 2) the level of E-Commerce readiness is high such as in Denmark or Finland. On the other hand, the average consumer disutility when using an Internet store is relatively greater than that of using a physical store in a market like (b). Countries like Ukraine and Bulgaria, or the market for "experience goods" such as shoes, could be examples of this market condition.
summarizes the various scenarios of consumer distributions analyzed in this study. The range for disutility of using the Internet (${\delta}_{N_i}$) is held constant, while the range of consumer distribution (${\chi}_i$) varies from -25 to 25, from -50 to 50, from -100 to 100, from -150 to 150, and from -200 to 200.
summarizes the analysis results. As the average travel cost in a market decreases while the average disutility of Internet use remains the same, average retail price, total quantity sold, physical store profit, monopoly manufacturer profit, and thus, total channel profit increase. On the other hand, the quantity sold through the Internet and the profit of the Internet store decrease with a decreasing average travel cost relative to the average disutility of Internet use. We find that a channel that has an advantage over the other kind of channel serves a larger portion of the market. In a market with a high average travel cost, in which the Internet store has a relative advantage over the physical store, for example, the Internet store becomes a mass-retailer serving a larger portion of the market. This result implies that the Internet becomes a more significant distribution channel in those markets characterized by greater geographical dispersion of buyers, or as consumers become more proficient in Internet usage. The results indicate that the degree of price discrimination also varies depending on the distribution of consumer disutility in a market. The manufacturer in a market in which the average travel cost is higher than the average disutility of using the Internet has a stronger incentive for price discrimination than the manufacturer in a market where the average travel cost is relatively lower. We also find that the manufacturer has a stronger incentive to maintain a high price level when the average travel cost in a market is relatively low. Additionally, the retail competition effect due to Internet channel introduction strengthens as average travel cost in a market decreases. This result indicates that a manufacturer's channel power relative to that of the independent physical retailer becomes stronger with a decreasing average travel cost. This implication is counter-intuitive, because it is widely believed that the negative impact of Internet channel introduction on a competing physical retailer is more significant in a market like Russia, where consumers are more geographically dispersed, than in a market like Hong Kong, that has a condensed geographic distribution of consumers. illustrates how this happens. When mangers consider the overall impact of the Internet channel, however, they should consider not only channel power, but also sales volume. When both are considered, the introduction of the Internet channel is revealed as more harmful to a physical retailer in Russia than one in Hong Kong, because the sales volume decrease for a physical store due to Internet channel competition is much greater in Russia than in Hong Kong. The results show that manufacturer is always better off with any type of Internet store introduction. The independent physical store benefits from opening its own Internet store when the average travel cost is higher relative to the disutility of using the Internet. Under an opposite market condition, however, the independent physical retailer could be worse off when it opens its own Internet outlet and coordinates both outlets (RI). This is because the low average travel cost significantly reduces the channel power of the independent physical retailer, further aggravating the already weak channel power caused by myopic inter-channel price coordination. The results implies that channel members and policy makers should explicitly consider the factors determining the relative distributions of both kinds of consumer disutility, when they make a channel decision involving an Internet channel. These factors include the suitability of a product for Internet shopping, the level of E-Commerce readiness of a market, and the degree of geographic dispersion of consumers in a market. Despite the academic contributions and managerial implications, this study is limited in the following ways. First, a series of numerical analyses were conducted to derive equilibrium solutions due to the complex forms of demand functions. In the process, we set up V=100, ${\lambda}$=1, and ${\beta}$=0.01. Future research may change this parameter value set to check the generalizability of this study. Second, the five different scenarios for market conditions were analyzed. Future research could try different sets of parameter ranges. Finally, the model setting allows only one monopoly manufacturer in the market. Accommodating competing multiple manufacturers (brands) would generate more realistic results.
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