• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.289-305
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• 2023

The rapid increase in the use of mobile devices is changing consumers' online shopping behavior. However, the difference in the effect on the conversion rate according to the time when consumers switch from a small screen to a large screen has not been sufficiently studied. In addition, the differences in the effect of device conversion on purchase performance according to the characteristics of each country's infrastructure have not been sufficiently studied. Against this background, this study aims to analyze whether the timing of switching from mobile devices to PC devices and the country's mobile Internet penetration rate are moderating the positive effect of device switching on purchase performance. For empirical analysis, Google Merchandise Store data was collected and 101,466 data from 130 countries were analyzed with a multilevel model. As a result of the analysis, consumers' device switching (i.e., mobile to PC) had a positive effect when it occurred in the middle of the consumer journey. However, it was analyzed that when device switching occurred at the later stage of the consumer journey, it had a negative effect on purchase performance. In addition, it was analyzed that the higher the mobile Internet penetration rate, the weaker the positive effect of consumer device conversion on purchase performance.

• Korean Journal of Human Ecology
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• v.16 no.2
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• pp.367-380
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• 2007

This study investigates the perception of price and the propensity to conspicuous consumption in the purchase of clothing among college students and the relation between the perception of price and the propensity to conspicuous consumption. The data for this study were collected from 1,015 Korean college students. In order to analyze the data, statistical methods such as frequency, percentage, mean, standard deviation, factor analysis, ANOVA, scheffe-test, Pearson's correlation, and Cronbach's a were used with the SPSS statistical package program. The major study findings were as follows. 1. The perception of clothing price among college students was classified into five factors: high price-oriented, discount-oriented, high quality-price rate-oriented, low price-oriented, and effectiveness-oriented. 2. The propensity to conspicuous consumption of clothing among college students was classified into four factors: brand name conspicuousness, conspicuous pursuit of vogue, symbol of their social position, and imported goods conspicuousness. 3. High price-oriented and discount-oriented were different significantly according to sex, age, father's educational level, monthly income, monthly allowance amount. High quality-price rate-oriented and low price-oriented were different significantly according to sex, father's educational level, monthly income, monthly allowance amount. Effectiveness-oriented was different significantly according to sex, age. 4. Brand name conspicuousness, conspicuous pursuit of vogue and imported goods conspicuousness were different significantly according to sex, age, father's educational level, monthly income, monthly allowance amount. Symbol of their social position was different significantly according to sex, age, father's educational level, monthly income. 5. High price-oriented, discount-oriented and high quality-price rate-oriented have the highly positive correlation with four factor of propensity to conspicuous consumption of clothing. Low price-oriented has the negative correlation with four factor of propensity to conspicuous consumption of clothing. Effectiveness-oriented has the lowly positive correlation with four factor of propensity to conspicuous consumption of clothing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.269-276
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• 2018

OCR(Optical Character Recognition) using computers has been developed for 20 years and applied to various fields such as parking management based on the recognition of license plates of cars. This technology was also used in the development of our smart OCR-based household ledger. In order to improve filling the purchase history into a smartphone based household account book, we can take pictures of receipts with the smarphone camera and automatically organize the purchase list. In this process, the recognition rate of the characters of the receipt image is not high enough with OCR technology. We could improve the rate by applying the image processing technology and adjusting the contrast of the receipt image. The rate improved from 89% to 92.5%.

• Journal of the Korean Society of Food Culture
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• v.29 no.6
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• pp.528-538
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• 2014

The purpose of this study was to investigate the relationships among recognition, preference, and purchasing characteristics for Changnyeong onions and garlic as well as festival satisfaction among participants at agricultural product festivals in the Changnyeong region. Results showed that festival satisfaction of 'place of festival' was highest while 'convenience facility & event contents' earned the lowest scores. Most subjects (90.5%) had purchased Changnyeong agricultural and processed products. A major purchasing type was fresh agricultural products (66.7%). The pathways to recognize Changnyeong agricultural products were mostly 'promotion by related institutions' (22.0%), 'family relatives' (20.8%), 'mass media' (16.6%), and 'festivals and events' (16.1%). The most considered factors for purchasing regional products were 'geographical origin' and 'ingredients'. Changnyeong onion showed higher scores for recognition and preference and rate of purchase experience and intention than for garlic. The correlation coefficients of recognition and preference for onion and galic were 0.603 (p<0.001) and 0.598 (p<0.001), respectively. The explanation power ($R^2$) of related variables for purchase of Changnyeong onions was 0.258. The regression coefficients (${\beta}$) for 'recognition', 'preference' and 'convenient facility & event contents' were positive, whereas the regression coefficient for 'price' was negative. Recognition, preference, and convenient facility & event contents with garlic purchase showed a positive relationship ($R^2$=0.253). The most effective promotion method to increase sales of Changnyeong agricultural products was 'local festivals and events' (27.8%).

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.6
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• pp.910-929
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• 2019

This study identifies the effects of the characteristics of an online shopping cart based on the theory of psychological ownership. This study created experimental stimuli similar to the actual fashion website in order to derive the exact emotional and behavioral responses of participants. To test the hypotheses, four experimental groups of 2 (personalization: high / low) × 2 (accessibility: high / low) were formed with between-subject design. We selected 201 women in 20-30s as participants and they responded to an online survey after experiencing website stimuli. The collected data were analyzed using SPSS 25.0 and SPSS PROCESS Macro program. The results show that the effects of personalization of an online shopping cart on the purchase intention of the fashion product in the cart is significant; in addition, the main effect of personalization of cart on consumer's psychological ownership was confirmed. It was also found that the path of personalization of the online shopping cart to purchase intention through psychological ownership was significant. The findings of this study contributes to the extension of online shopping cart research and provide suggestions to recognize the important role of psychological ownership in increasing the purchase conversion rate.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.1
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• pp.198-210
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• 2016

This study firstly aims to estimate a leading-price of Jeju flounders with various price-classes by fish weight and secondly plans to provide policy implications of flounder purchase projects by understanding dynamic changes and interactions among flounder producer price-classes caused by price impulses in the market. This study applies an unit root test for stability of data, uses a Granger causality test to estimate the leading-price among producer prices by fish weight, employs the vector autoregressive model to analyze statistical impacts among t-1 variables used in models, and finally utilizes impulse response analyses and forecast error variance decomposition analyses to understand dynamic changes and interactions among change rates of the producer prices caused by price impulses in the market. The results of the study are as follows. Firstly, KPSS, PP, and ADF tests show that the change rate of Jeju flounder monthly producer prices by fish weight differentiated by logarithm is stable. Secondly, the Granger causality test presents that the change rate of the 1kg flounder producer price strongly leads it of 500g, 700g, and 2kg flounder producer prices respectively. Thirdly, the vector autoregressive model indicates that the change rate of the 1kg producer price in t-1 period statistically, significantly influences it of own weight in t period and also slightly affects price change rates of other weights in t period. Fourthly, the impulse response analysis indicates that impulse responses of structural shocks for the change rate of the 1kg producer price are relatively more powerful in its own weight and in other weights than shocks emanating from price change rates of other weights. Fifthly, the variance decomposition analysis points out that the change rate of the 1kg producer price is relatively more influential than it of 500g, 700g, and 2kg producer prices respectively. In conclusion, the change rate of the 1kg Jeju flounder producer price leads the change rates of other ones and Jeju purchase projects need to be targeted to the 1kg Jeju flounder producer price as the purchase project implemented in 2014.

• The Research Journal of the Costume Culture
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• v.19 no.4
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• pp.780-793
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• 2011

This study investigates the breast cathexis and brassiere design preferences of Chinese citizens living in Hong Kong in order to provide marketing intelligence for bra manufacturers whose target customers are from this group of potential customers. A questionnaire composed of questions concerning breast shape evaluations, brassiere design preferences, and brassiere purchase and wear practices was administered to 165 Hong Kong Chinese female undergraduates(N=165). For an analysis of our data, we used the SPSS program(version 14.0). The results indicate that a majority of Hong Kong Chinese female undergraduates perceive their breasts as 'slightly smaller than normal' (n=59, 35.8%) or 'normal'(n=78, 47.3%) in volume, and 'conical'(n=77, 46.7%) or 'flat'(n=46, 27.9%). The results also suggest that Hong Kong Chinese women possess positive breast cathexis, with only a third of the respondents reporting dissatisfaction with their breasts. Women with dome-shaped breasts expressed the most positive breast cathexis, followed by those with cone-shaped breasts. The results also show that Hong Kong Chinese typically purchase 2 brassieres per year, which is a lower purchasing rate than their counterparts in Korea(Cha & Sohn, 2010) and Taiwan(ICT Life Style Research Center, 2004). The findings also demonstrate that the preferred brassiere color is black(57%), unlike in Korea, where women prefer skin-colored brassieres.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2194-2210
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• 2018

In the era of big data, consumers capture more and more economic surplus yet the seed of distrust also grows with the fast-spreading of social commerce, this paper began with the idea that product types may determine the degree of consumers' distrust even when identical discounts are offered for those products on Chinese social commerce websites. We also attempted to determine if distrust negatively affected consumers' purchase attitudes. 20 representative products that are commonly sold on social commerce websites in China were chosen to examine the relationships among product types, discount rates, distrust levels, and purchase attitudes. Inductive interview was used to collect the data as well as consumers' perceptions of the relationships. Data analysis results suggested that consumers like deep discounts, but their distrust levels increase along with the discount rates, however, the levels of increasing distrust vary according to product types. High, medium, and low discount rate categorizations were made and three propositions were suggested. This paper will contribute to the body of knowledge on online social commerce market and provide valuable implications for e-retailers and general consumers in online social commerce websites in China.

• Analyses & Alternatives
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• v.4 no.1
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• pp.105-123
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• 2020

This study analyzes the risk selection behavior of Japanese households. The study approaches the view of 'the hyperbolic discount' which is used in behavioral economics based on the rise in mortgage lending by low-income households in the late 2000s. The study focuses on how households risk preferences vary by income levels. The study analyzes the relationship of attitude of household interest rate risk using Binomial Logistic and Heckman two-step estimation method assuming that there are only two types of Adjustable-Rate Mortgage and Fixed-Rate Mortgage. As a result of the empirical analysis, low-income households annual income tend to have a higher proportion of housing debt as same as higher interest rate risk preferences households in proportion to income growth and interest rate risk preferences. Those results indicate that there is possibility of a hyperbolic discount on low-income households in Japan, and support the hypothesis that low-income households are relatively higher household debt ratio because of high utility due to home purchase in the near future (short-term).

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.53-62
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• 2020

Product recommendation services that have been researched recently are only recommended through the customer's product purchase history. In this paper, we propose the digital signage service through customers' behavior pattern analysis that is recommending through not only purchase history, but also behavior pattern that customers take when choosing products. This service analyzes customer behavior patterns and extracts interests about products that are of practical interest. The service is learning extracted interest rate and customers' purchase history through the Wide & Deep model. Based on this learning method, the sparse vector of other products is predicted through the MF(Matrix Factorization). After derive the ranking of predicted product interest rate, this service uses the indoor signage that can interact with customers to expose the suitable advertisements. Through this proposed service, not only online, but also in an offline environment, it would be possible to grasp customers' interest information. Also, it will create a satisfactory purchasing environment by providing suitable advertisements to customers, not advertisements that advertisers randomly expose.