• KOREAN JOURNAL OF CROP SCIENCE
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• v.33 no.s01
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• pp.1-17
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• 1988

Rice Quality is considered to the five catagories ; the nutritional value: the characteristics of cooking. eating and processing: grain size, shape and appearance : milling yields: and storage characteristics. Because most rice is processed and consumed in whole-kernel form. the cooking and eating quality is of important and the physical properties of the intact kernel such as size, shape and general appearance are of particular significance in determining marketing quality. Eating Quality which can be directly evaluated by consumer's panel test is so complicate and variable, and thus the objective and simplified method of evaluation is required of using appropriate instruments. Even though many researches have been done to evaluate the eating quality in various aspects such as the texture of cooked rice kernels, amylogram analysis of rice powder, amylose content. gelatinization temperature. moisture absorption of rice kernel, and cooking characteristics, none of them is satisfied for the evaluation of eating quality. The improving eating quality should be also considered to many cultural factors. such as varieties, climatic and soil conditions, cultural method, handling after harvest. milling and storage conditions. In Korea, many researches in grain size. shape and appearance, and eating quality have been done with the varietal improvement mainly by rice breeders, but no effective method of evaluation was established. A few research have been done in the relationship between rice quality and cultural factors. In the future, research in rice quality should emphasize to establish the standard evaluation method in the physicochemical properties of rice kernels for application of varietal selection. and to develop cultural practices for the preserving quality characteristics of the varieties.

• Journal of Fashion Business
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• v.27 no.4
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• pp.88-100
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• 2023

This study analyzed the compositional characteristics of fashion videos and the characteristics of fashion design spreading as trends through Subversive Basics. Literature research and case studies were conducted concurrently. Based on the literature review, an analysis method was designed, focusing on the concept of online video content, Subversive Basics, and the video content type. For the case analysis, videos were collected and classified using Subversive Basics as the keyword. The content was observed, and design features were analyzed. Based on the results, the collected videos were classified into tutorial, curation, and creative content types according to their compositional characteristics. Tutorial content emphasizes practical actions that demonstrate how to make or modify clothing, thereby promoting user-generated content for dissemination. Curation contents provide users with style ideas and information about clothing and purchases to encourage clothing purchases and influence purchase decisions that lead to dissemination through clothing consumption and wear. Creative content showcases the process of modifying and creating clothes to enhance understanding and value of creative design. The characteristics of fashion design utilized in these contents include bold designs with high visual effects as the first category, designs that can be easily and quickly modified due to intentional incompleteness as the second category, and prominently featured body-positive, individualistic designs as the third category. The results of this study can be associated with balanced development between basic design elements and personalized unique designs, catering to consumer needs.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.1-7
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.210-216
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.

• Journal of Korea Trade
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• v.27 no.4
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• pp.77-100
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• 2023

Purpose - Using the Model of Goal-Directed Behavior (MGB), this study identifies the critical factors that influence consumer intention to purchase an electric vehicle (EV). This study also provides differentiated policy implications to the Korean and Chinese governments and EV-related companies for the expansion of the EV market in both countries by comparing consumers' perceptions of EV purchase intentions. Design/methodology - Our extended MGB model adds to the standard model consideration of financial incentives, perceived risks, and environmental concerns. An online survey was conducted of Korean and Chinese consumers. Based on the collected responses, all tested hypotheses were verified using PLS-SEM (Partial Least Squares-Structural Equation Modeling). Differences in the path analysis results between Korea and China were compared and verified using Henseler's MGA (multi-group analysis), the parametric test, and the Welch-Satterthwaite test. Findings - The most critical factor that influences the intent to purchase an EV in consumers from both countries is personal desire. PBC and SN were identified as the critical factors that respectively increase personal desire in Korea and China. In addition, in Korea, among the three factors EC, FIP, and PR, environmental concerns were found to have the most significant impact on attitudes and purchase intention. In contrast, in China, economic factors (specifically financial incentives) had greater importance than environmental issues. Originality/value - This study has academic contributions in that it presents a new research model that includes financial incentive policies, environmental concerns, and perceived risk variables based on the MGB to explore consumers' purchase intentions. This study can also make a practical contribution in that it provides some meaningful implications to the governments and EV-related companies of both countries based on the differences in the analysis results of the Korean and Chinese markets.

• Journal of Korea Trade
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• v.26 no.6
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• pp.83-95
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• 2022

Purpose - With the recent spread of COVID-19, U.S. consumers' consumption pattern is changing towards purchasing large-capacity products, as they stay at home longer. Thus, the current research investigates the effects of box shape and component diversity for large-sized products on product evaluation in logistic business. Moreover, this research examines that information-processing fluency mediates the moderating effects of box shape and product components on target evaluations to confirm psychological mechanism for generating this effect. Design/methodology - In order to examine the hypotheses, the current research conducts two online experiments. The 184 participants (Study 1), and 205 participants (Study 2) of U.S. nationality were recruited through Amazon Mechanical Turk. This research analyzes the data by using SPSS 25 and PROCESS macro 4.0. Findings - Study 1 demonstrates that when the height of a box is greater than its width, products with single components promote positive target evaluations, while when the width of box is greater than its height, products with a variety of components lead to positive target evaluations. Study 2 shows that the same results are replicated in other product categories and with different box shape ratios. Moreover, Study 2 also finds that the ease of information processing mediates the interaction effects of box shape and component diversity on U.S. consumers' target evaluations. Originality/value - The current research has originality in that it investigates the effect of box shape and product composition diversity on U.S. consumer product evaluation from the perspective of information-processing theory Moreover, this research has practical implications for global traders who prepare for entering the U.S. market.

• Fashion & Textile Research Journal
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• v.25 no.2
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• pp.165-174
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• 2023

This study analyzed the purchase status of athleisure wear and consumers' dissatisfaction with online shopping post-COVID-19. The target population comprised female consumers in their 20s to 50s who are interested in exercise and fashion. The study investigated differences according to age. It was found that athleisure wear was purchased once every two to three months and used as sportswear and/or daily wear. Purchase information was obtained via the Internet, and purchases were made online. Design, price, wear sensation, and textiles were the most important selection criteria, and T-shirts and leggings were the most frequently purchased garments. Additionally, textile characteristics such as moisture-absorbing and quick-drying as well as elasticity were evaluated as important. Online shopping of athleisure wear has increased since COVID-19 due to the time savings, low price, opportunity to compare several products, and delivery convenience. However, consumers were dissatisfied due to the differences between the screen image and the actual product, the inconvenience of returns, exchanges, and refunds, the lack of product information, product quality, and delivery. Furthermore, it was found that pursuing value of athleisure wear differed according to age. Consumers in their 20s and 30s required athleisure wear with the characteristics of sportswear and daily or urban wear and those in their 40s and 50s required garments with good performance as sportswear. Based on consumer feedback, it is necessary for manufacturers to provide product information that can improve product reliability.

• Journal of the Korea Society of Computer and Information
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• v.14 no.8
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• pp.137-144
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• 2009

On July 23th, 2009, the newly-revised copyright law was reflected the free trade agreement which occurred between the United States and the Republic of Korea. The agreement is expected to have positive effects such as competition as well as the social efficiency in the field of intellectual property. Nevertheless, Korean government should pay much costs, Therefore, we should minimize the cost in a short run and maximize the benefits we could obtain out of the agreement in a long run. However, we are not prepared to improve economic value of the intellectual property rights. Specifically, it should be noted that the aspects of law execution to protect not only the intellectual property rights. If we manage to get the utmost out of the agreement, we could be going through the transition from a consumer nation of intellectual properties to a producer nation.

• Korean Association of Arts Management
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• no.49
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• pp.177-200
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• 2019

The purpose of this study is to critically explore and make an issue of the distribution system presented by Victoria Alexander's 'Modified Cultural Diamond' model. Street artist Banksy was served as a single case, and various secondary data were collected and analyzed for the purposes of this study. First, this study examined the formation of the aesthetic discourse and the increase in the value of Banksy's works by the market intermediaries constituting the distribution system. In addition, this paper placed Banksy's actions and works in Alexander's theoretical framework and critically discussed the following three aspects of the distribution system of 'Modified Cultural Diamond': the divorce between artists and artworks by the distribution system; the ignorance of the direct connection between artist and consumer; and lastly the exclusion of the possibility of distributing works by artists. Based on this discussion, this study has significance in making a theoretical model of Alexander academically controversial.

• Design Convergence Study
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• v.15 no.2
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• pp.53-69
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• 2016

This paper analyzes the long-run brand Bacchus's TV advertisement narrative, which copes actively with changes in social and cultural circumstances. The paper focuses on the types of narrative and the consequent semantic effects used in the television advertisement of Bacchus. Through this, we aim to investigate the processes of brand strategies and transitions taken by the brand that made it a solid one. In conclusion, the summaries of distinctive meaning and value of long-run brand by examining the narrative of Bacchus in TV ads are as follows. Firstly, the narrative should be reflected in consumer's demands closely associated with changes in social and cultural circumstances. Secondly, a strong brand identity can be built by consistent management of brand image and through the cultivated effects. Lastly, it forms a bond of relationship between socio-cultural context and consumers, and functions as a communication message.