• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.744-755
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• 2022

This study sought to verify the shopping values that tourists pursue by purchasing at travel destinations based on tourists' motivation and identify the effects of these values on the types of fashion items preferred by tourists. Furthermore, this study verified the tourist shopping behavior of three Asian countries-Korea, China, and Japan-from a cross-cultural perspective. To obtain a sample that represents tourist shoppers in each country, a survey was conducted on adult men and women in their 20s to 60s, and 986 subjects were collected: 300 Koreans, 385 Chinese, and 301 Japanese. Factor analysis, structural equation modeling, and multigroup SEM were performed on the collected data using SPSS Statistics and AMOS. Based on escaping-seeking theory, tourist intentions were divided into escaping and seeking motivations, and tourist shopping values were divided into functional, emotional, and social. The shopping items were divided into materials and experiential goods to understand the difference between the types preferred by tourists according to the perceived value. In addition, differences in tourist shopping behaviors according to the three nationalities were identified. The findings illustrate that the escaping motive affects emotional and social values, whereas the seeking motive affects all three. Moreover, it was confirmed that functional and emotional values affect preference for material and experiential goods, but social value only affects preference for material goods. For the cross-cultural study, differences in tourist shopping behavior according to nationality were identified.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6133-6145
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• 2013

With the increasing number of online wine stores, customers are increasingly seeking to purchase wine online. On the other hand, purchasing wine online is prohibited by law or regulation in Korea. Therefore, customers mainly search for wine information, inquire about wine products, and make a pre-purchase at an online wine store. Online wine stores play important roles in customer's purchase decision-making, and are likely to be a useful wine distribution channel in the near future. Therefore, the aim of this study was to identify the determinants of the online wine purchase intention, and examine the structural relationships between the determinants and online wine purchase intention. The site quality of online wine stores (information quality, system quality, service quality), and perceived value (quality value, price value, emotional value, social value) were selected as the determinants of online wine purchase intention based on literature review. The data was collected from those who had experience using an online wine store to purchase wine, and the data was used to test the proposed research model. The findings showed that the information quality was not related to the perceived value (quality value, price value, emotional value, social value). The system quality was proven to be positively and significantly related to the quality value, price value, and emotional value, whereas it had no impact on the social value. In addition, the service quality was found to affect the perceived value (quality value, price value, emotional and social value). Finally, the results showed that the quality value, emotional value, and social value have a positive impact on the online wine purchase intention, whereas the price quality is not related to the online wine purchase intention. These results are expected to make a contribution to a better understanding of how the quality of online wine stores and the customer's perceived value affect the online wine purchasing intention.

• Journal of Korean Society of Forest Science
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• v.102 no.1
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• pp.24-29
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• 2013

This study was carried out for preliminary feasibility review to investigate work efficiency of chestnut harvest using yield net and to find a way to reduce the cost for purchasing and managing yield net. To this end, we conducted a survey of 6 forest farm houses in Cheongyang, Gongju and Buyeo regions where yield nets are being used efficiently. Cost-benefit analysis based on Net Present Value and Benefit Cost Ratio was used to examine the investment profitability. While regions of Cheongyang A, Cheongyang B and Buyeo A are profitable in spite of no subsidy for purchasing yield net from the government, the regions of Gongju A, Gongju B and Buyeo B are not profitable without subsidy. When an 80% of subsidy for purchasing yield nets is provided, the forest farm houses in Cheongyang A, Cheongyang B, Buyeo A and Gongju B regions are found to be profitable while those in Gongju A and Buyeo B regions are still not profitable. We consider that the different results come from the differences in the planting method of chestnut, labor efficiency, labor skill and the orchard conditions such as slop. Finally, several efforts for government and cultivator are suggested to expand the use of yield net; planting chestnut in line, establishing installation and management methods, supporting the cost for purchasing yield net and studying detailed effects besides profitability issue.

• Science of Emotion and Sensibility
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• v.19 no.1
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• pp.111-126
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• 2016

As the marketing value of Facebook advertisements increases, companies seek to create successful Facebook advertisements in order to promote their brands or products. This research aims to identify Facebook advertising factors that influence users' eye movements and attention, and thereby to investigate effective visual elements of Facebook advertising contents. Firstly, we identified two contributing factors influencing users' responses to Facebook advertisements: the formats of advertising contents(Text, Text in Image, and Movie) and the product properties(Involvement, Think/Feel). Based on theoretical reviews, eye tracking tests and surveys were conducted in order to examine how these two factors affect users' responses on Facebook, i.e. visual perception and users' purchasing responses. It was found that there were distinctive patterns of users' visual perceptions and purchasing behavioral responses according to the formats of the advertised contents. Meanwhile, the advertised products' properties influenced only the users' purchasing responses. Finally, the key findings of this research offer helpful guidelines for providers and developers to create effective SNS advertisements.

• The Journal of Information Systems
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• v.27 no.2
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• pp.157-173
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• 2018

Purpose Product characteristics and price value in website have strongly effects on customer satisfaction. Especially, in the online shopping site, the scarcity limits the customer's opportunity to purchase the product. Thus scarcity has been proposed as a important factor that makes the customer highly aware of the merchantability of the product. The scarcity in the web store is used as an important variable to make purchasing decisions of users easier by psychological pressure. In the case of scarce products with price discounts in online commerce, advertising formats that highlight scarcity value in the web commerce market are very effective in enhancing purchase intentions of consumers. Unlike offline stores, the importance of scarcity becomes more important when reflecting the characteristics of online commerce. Therefore, this study intends to confirm the influence of the degree of price discounts and scarcity information presented by Web sites on consumer purchase behavior in Web purchase behavior. Design/methodology/approach This study conducted a web-based experimental study on price sensitivity and price discount. Therefore, we created experimental web-sites that offer two stimuli according to the discount rate. The 200 respondents were randomly assigned. The stimuli were fictitious based on tourism products. The first stimulus presented the price discount(15% discount) with basic explanation about the package of the tourist package. The stimuli assigned to the second group were used for groups with high price discount intensity(65% discount). In this way, the two stimuli clearly distinguished the level of price discount intensity. This paper conducted t-test analysis and structural equation to analyze the experiemental results after confirming the reliability and validity. Findings The results of this study are as follows. The difference in price discount intensity (15% vs 65%) with scarcity showed the mean difference among all the variables. Therefore, this study concluded that there is a significant difference between the price discount of 15% and 65% for the acquisition value and transaction value of users. In particular, consumers' purchase intention is greater and product recommendation intensity is stronger when the price discount is 65%. As a result, the high degree of the price discount intensity with scarcity exerts a greater influence on consumers' purchase intentions. Product scarcity also have a significant impact on perceived value of users. Therefore, purchase intention of customers increases when perceived value increases their profit and pleasure feeling.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.139-161
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• 2019

The utilization of the e-commerce market has become a common life style in today. It has become important part to know where and how to make reasonable purchases of good quality products for customers. This change in purchase psychology tends to make it difficult for customers to make purchasing decisions in vast amounts of information. In this case, the recommendation system has the effect of reducing the cost of information retrieval and improving the satisfaction by analyzing the purchasing behavior of the customer. Amazon and Netflix are considered to be the well-known examples of sales marketing using the recommendation system. In the case of Amazon, 60% of the recommendation is made by purchasing goods, and 35% of the sales increase was achieved. Netflix, on the other hand, found that 75% of movie recommendations were made using services. This personalization technique is considered to be one of the key strategies for one-to-one marketing that can be useful in online markets where salespeople do not exist. Recommendation techniques that are mainly used in recommendation systems today include collaborative filtering and content-based filtering. Furthermore, hybrid techniques and association rules that use these techniques in combination are also being used in various fields. Of these, collaborative filtering recommendation techniques are the most popular today. Collaborative filtering is a method of recommending products preferred by neighbors who have similar preferences or purchasing behavior, based on the assumption that users who have exhibited similar tendencies in purchasing or evaluating products in the past will have a similar tendency to other products. However, most of the existed systems are recommended only within the same category of products such as books and movies. This is because the recommendation system estimates the purchase satisfaction about new item which have never been bought yet using customer's purchase rating points of a similar commodity based on the transaction data. In addition, there is a problem about the reliability of purchase ratings used in the recommendation system. Reliability of customer purchase ratings is causing serious problems. In particular, 'Compensatory Review' refers to the intentional manipulation of a customer purchase rating by a company intervention. In fact, Amazon has been hard-pressed for these "compassionate reviews" since 2016 and has worked hard to reduce false information and increase credibility. The survey showed that the average rating for products with 'Compensated Review' was higher than those without 'Compensation Review'. And it turns out that 'Compensatory Review' is about 12 times less likely to give the lowest rating, and about 4 times less likely to leave a critical opinion. As such, customer purchase ratings are full of various noises. This problem is directly related to the performance of recommendation systems aimed at maximizing profits by attracting highly satisfied customers in most e-commerce transactions. In this study, we propose the possibility of using new indicators that can objectively substitute existing customer 's purchase ratings by using RFM multi-dimensional analysis technique to solve a series of problems. RFM multi-dimensional analysis technique is the most widely used analytical method in customer relationship management marketing(CRM), and is a data analysis method for selecting customers who are likely to purchase goods. As a result of verifying the actual purchase history data using the relevant index, the accuracy was as high as about 55%. This is a result of recommending a total of 4,386 different types of products that have never been bought before, thus the verification result means relatively high accuracy and utilization value. And this study suggests the possibility of general recommendation system that can be applied to various offline product data. If additional data is acquired in the future, the accuracy of the proposed recommendation system can be improved.

• Journal of the East Asian Society of Dietary Life
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• v.11 no.6
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• pp.430-445
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• 2001

The purpose of this study was to identify the condition and perception of food management pattern in Yuanbean area. An investigation based on Previous research was administered to 200 housewives by questionnaire method in 1993 and 1995. Data were descriptively analyzed and chi-square value was calculated to compare group differences. Findings indicated that snack preference, food budget planning. menu planning. focusing factors for preparing and purchasing food materials, and family member considering for preparing meal were varied by socio-demographic factors. such as age, education. occupation. family income. religion. family type and size, years of marriage, hometown, kitchen structure, and types of fuels. Similarities and differences between groups were discussed and implications for nutrition were suggested.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.985-995
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• 2015

Add-on selling can provide new chances to increase sellers' profits and meet customers' needs. Although prior studies have advocated add-on selling for its business value, there is an argument that add-on selling can cause customer repulsion. Therefore, we need to understand customer purchasing pattern related to add-on selling in order to promote it and to mitigate the customer repulsion. To that end, we applied data mining techniques to the 24,925 transactions of data from an online open market in Korea. We then conducted feature selection to investigate the most influential factors that can explain the characteristics of add-on selling transactions using a classification model. We also identified association rules among add-on selling and promotions. Finally, based on the findings in our experiments, we proposed add-on selling strategies for the target online market.

• International Journal of Contents
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• v.15 no.4
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• pp.82-88
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• 2019

The purpose of this study was to investigate the key factors that influence consumers' preference for mobile payment in China. China has been quietly experiencing a third technological revolution that has markedly changed the way of life for its people. We used the structural equation modeling with 573 Chinese people to investigate the mobile-payment system in China based on the technology acceptance model. We found that factors such as value of service, security, convenience, and perceived usefulness have an impact on consumer satisfaction, and that satisfaction supports consumer purchasing. Also, it is possible to conclude that this proven instrument will assist researchers to further develop and refine mobile-payment research models.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2007.11a
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• pp.26-29
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• 2007

By changing housing market, housing cultural center furnishes information, value added, image of housing. For publicity their unique house, construction companies provide not only concrete and substantial material but also sensible and capacity service through the community space of housing cultural center. The consumer's experience of housing cultural center have an effect on purchase power apartment. The image of enterprise is important to select commodities to consumers. Though main clients are women, housing cultural center has not space concept and aim to concern for them. According to begin women a group of consumers, they have purchasing power in family. Apartment is no exception. Housing cultural center is used as continuous culture space that provide various experiential chance for consumer, especially women by systematize and distinct design detail and feature component. Accordingly, the purpose of this study is an analysis about community space of housing cultural center with the woman marketing based on experience.