• Fashion & Textile Research Journal
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• v.12 no.4
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• pp.450-458
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• 2010

The purpose of this study was to investigate the effect of shopping orientation on price perception and the effect of shopping orientation and price perception on purchase satisfaction. This study administered a questionnaire survey to adults in their 20s and 30s who had once purchased fashion products in surrogate internet shopping malls. Among 327 questionnaires, 263 were collected through convenience sampling and 94 were collected from six internet communities. Data were analyzed by factor analyses and regression analyses. The results of this study are as follows. First, factor analysis of price perception revealed that two factors such as price reasonability and price reduction were extracted and the mean of price reduction was higher than one of price reasonability. Second, factor analysis of purchase satisfaction extracted four factors such as service quality, shopping convenience, product scarcity and product variety/price satisfaction. Mean comparisons showed that the mean of product scarcity was the highest among four factors. Third, regression analyses that recreational, economic, and convenience shopping orientation affected price reduction, a factor of price perception. Fourth, regression analyses showed that shopping orientations and the price perception had significant effects on the purchase satisfaction.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.273-280
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• 2003

Recommender System can help users to find products to Purchase. A representative method for recommender systems is collaborative filtering (CF). It predict products that user may like based on a group of similar users. User information is based on user's ratings for products and similarities of users are measured by ratings. As user is increasing tremendously, the performance of the pure collaborative filtering is lowed because of high dimensionality and scarcity of data. We consider the effect of dimension deduction in collaborative filtering to cope with scarcity of data experimentally. We suggest that SVD improves the performance of collaborative filtering in comparison with pure collaborative filtering.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.146-146
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• 2019

The aridity index, which is determined as the ratio of potential evapotranspiration to precipitation, is one of key parameters in drought characterization. Whereas the evaporative index, which is defined as the ratio of actual evapotranspiration to precipitation, represents the fraction of available water consumed by the evapotranspiration process. This study investigates variation of the aridity and evaporative indexes due to climate change during the 21st century in South Korea. Estimations of the aridity and evaporative indexes are obtained using SWAT mode based on ensemble of 13 different GCMs over 5 large basins of South Korea for 2 RCP scenarios (RCP 4.5 and RCP 8.5). The results shows the opposite trends of the two indexes, where the aridity index is projected as always increase, while the evaporative index is expected to decrease in all of 3 future period (2011-1940, 1941-1970, 1971-2099). The estimated results also suggest that land cover influenced significantly evapotranspiration along with the change of climate. The study indicates that South Korea will be facing with a high risk of water scarcity in future due to climate change, which is seriously challenging for water planing and management in the country.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.485-485
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• 2018

Rainwater harvesting system (RWH) can provide a relief for the household and farmers especially in areas with intense water scarcity during the long lull of rainy season. However, much attention has not been given to this alternative water source in Nigeria. This paper estimates the per capita water demand for 1,950 inhabitants and rainwater potential in Ojonbodu Estate, Oyo State, Nigeria, using data from detailed questionnaires, water consumption calculator software, and 20-year rainfall data. The potential rainwater estimation was based on amount of precipitation, size of catchment and runoff coefficient. Consequently, using estimated values of $39420m^3$ and $6.5114{\times}10^7m^3$ for per capita consumption and potential rainwater respectively, the rainwater harvesting system was designed for rainwater collection, and storage. The harvested rainwater was $450, 000m^3$ with collection efficiency of 69.16 %, which exceeded the household water consumption requirement. Thus, the harvested rainwater was able to meet the estimated water demand of the Ojonbodu Estate households during the period of water scarcity.

• Journal of Fashion Business
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• v.22 no.6
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• pp.1-13
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• 2018

Idol goods refer to products such as cups and towels, or mementos or souvenirs that are manufactured to gratify the desires of fandom and may include the facial images of a star. The objective of this research was to explore the purchase behaviors of K-pop idol goods. Two hundred and sixty female idol goods purchasers in their twenties participated in an online survey. Cheering tools were the most often purchased idol goods, followed by idol slogans and dolls. To investigate the difference in idol goods' attributes they considered when shopping, respondents were divided into three purchase groups based on their annual total expense for purchasing idol goods. There were significant differences among light, medium and heavy purchasers in terms of goods' price, practical features, and scarcity. The light shopper group was majorly guided by price and practical features as compared to the other two groups, and heavy shopper group was majorly guided by scarcity attribute than in the other two shopper groups. The more they identified their favorite idols, the more they worked hard, the higher their income, the higher the expenses of investing in idol products, the more likely they were to repurchase idol goods. In term of post-purchase behavior of idol goods, most idol goods purchase by fans were stored rather than used, and few indicated that they purchase two identical idol goods for use and storage.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.145-156
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• 2022

Children are the foundation and future of this society and understanding their impressions and behaviors is very important and the child's behavioral problems are a burden on the family and society as well as have a bad impact on the development of the child, and the early diagnosis of these problems helps to solve or mitigate them, and in this research project we aim to understand and know the behaviors of children, through artificial intelligence algorithms that helped solve many complex problems in an automated system, By using this technique to read and analyze the behaviors and feelings of the child by reading the features of the child's face, the movement of the child's body, the method of the child's session and nervous emotions, and by analyzing these factors we can predict the feelings and behaviors of children from grief, tension, happiness and anger as well as determine whether this child has the autism spectrum or not. The scarcity of studies and the privacy of data and its scarcity on these behaviors and feelings limited researchers in the process of analysis and training to the model presented in a set of images, videos and audio recordings that can be connected, this model results in understanding the feelings of children and their behaviors and helps doctors and specialists to understand and know these behaviors and feelings.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.3
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• pp.47-58
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• 2023

Purpose - This study investigates which product characteristics influence customers' purchase intention for brand extension products of the fashion brands. Furthermore, this study suggests brand awareness as a moderator which strengthens the positive effects of the product characteristics on the consumers' purchase intention towards brand extension products of the fashion brands. Research design, data, and methodology - Two hundred and twenty-three Chinese consumers were randomly solicited to participate in this study. Email, website (www.wenjuanxing.com), social media (WeChat) were utilized to conduct the survey and collect data. Result - The findings obtained through hierarchical regression analysis indicate that product uniqueness, product scarcity and product popularity have significant effects on purchase intention for brand extension products of the fashion brands. In addition, brand awareness moderates the relationship between product characteristics (uniqueness and scarcity) and purchase intention positively. Conclusion -The results indicate that brand extension products of the fashion brands could attract more consumers by focusing on designing unique products and using limited release and celebrity publicity strategy. Additionally, the present research posits the crucial significance of brand awareness, thereby making a noteworthy contribution to the integrated marketing approach for fashion brand marketers.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.126-126
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• 2022

Climate change has continued to impact meteorological factors like rainfall in many countries including Nigeria. Thus, altering the rainfall patterns which subsequently affect the crop yield. Maize is an important cereal grown in northern Nigeria, along with sorghum, rice, and millet. Due to the challenge of water scarcity during the dry season, it has become critical to design appropriate strategies for planning, developing, and management of the limited available water resources to increase the maize yield. This study, therefore, determines the quantity of water required to produce maize from planting to harvesting and the impact of drought on maize during different growth stages in the region. Rainfall data from six rain gauge stations for a period of 36 years (1979-2014) was considered for the analysis. The standardized precipitation and evapotranspiration index (SPEI) is used to evaluate the severity of drought. Using the CROPWAT model, the evapotranspiration was calculated using the Penman-Monteith method, while the crop water requirements (CWRs) and irrigation scheduling for the maize crop was also determined. Irrigation was considered for 100% of critical soil moisture loss. At different phases of maize crop growth, the model predicted daily and monthly crop water requirements. The crop water requirement was found to be 319.0 mm and the irrigation requirement was 15.5 mm. The CROPWAT 8.0 model adequately estimated the yield reduction caused by water stress and climatic impacts, which makes this model appropriate for determining the crop water requirements, irrigation planning, and management.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.5
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• pp.822-838
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• 2023

Reselling, an activity of purchasing high-scarcity products and selling them back at high prices, has gained popularity among those in their 20s and 30s in recent years. This study examines the resell activity process of the MZ generation using the online second-hand platform and its inherent meaning. Interviews with 15 participants in their 20s and 30s showed that respondents have four purchase stages: being influenced by social media, collecting and comparing information using various social media, purchasing efforts, and post-purchase behavior. The research derived three inherent meanings of resell activities: (1) means of self-presentation and differentiation, (2) confirmation of investment skills and aptitude to lead fashion trends, and (3) pleasure of consumption. Respondents indicated meeting self-satisfaction through public selfies on social media. In addition, they emphasized the empirical pleasure during the buying journey by collecting product information, comparing prices, and negotiating with buyers. Our findings confirm the spread of resell activities from minority groups to enthusiastic youth. This study is significant for focusing on fashion products that attract attention in the resell market and examining the respondents' consumption experiences from various perspectives.

• Journal of Korea Water Resources Association
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• v.51 no.spc
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• pp.1135-1148
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• 2018

Previous studies on reservoir operation have been assumed that the climate in the future would be similar to that in the past. However, in the presence of climate non-stationarity, Robust Optimization (RO) which finds the feasible solutions under broader uncertainty is necessary. RO improves the existing optimization method by adding a robust term to the objective function that controls the uncertainty inherent due to input data instability. This study proposed Robust-SDP that combines Stochastic Dynamic Programming (SDP) and RO to estimate dam operation rules while coping with climate non-stationarity. The future inflow series that reflect climate non-stationarity were synthetically generated. We then evaluated the capacity of the dam operation rules obtained from the past inflow series based on six evaluation indicators and two decision support schemes. Although Robust-SDP was successful in reducing the incidence of extreme water scarcity events under climate non-stationarity, there was a trade-off between the number of extreme water scarcity events and the water scarcity ratio. Thus, it is proposed that decision-makers choose their optimal rules in reference to the evaluation results and decision support illustrations.