• Asia Marketing Journal
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• v.11 no.2
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• pp.97-119
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• 2009

The growth of international trade and the formation of supranational economic and political trading blocks have noticeably widened the presence on the market of products of different national origins. This has stimulated interest in explaining the Country-of-Origin (COO) role in domestic and international markets and its consequences on consumer behaviour. Since the consumer purchasing decisions can be decisive to the success of a company's strategy in domestic and foreign markets, the objective of this study is to present empirical evidence on the extent to which reputation of firms associated to a certain COO are related to consumer purchase intention. Additionally our study considers ethnocentrism as a variable that partially explains the rejection of imports products based on its foreign origin. The empirical application of the proposed model is related to the purchase of Korean automobiles which represents 5.7% of the national market share in Spain. Structural equation modelling was used to analyse the data collected from 202 personal interviews carried out in a large Spanish region. The results show that reputation of firms associated to a certain COO in an important factor to establish business relationships involving consumers and firms from different countries and increase intentions to purchase Korean products. Additionally, ethnocentric consumers prefer to purchase domestic products rather than foreign imports as an attempt to protect national economy however the negative effect of ethnocentrism is weaker than positive effect of firms reputation of a COO.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.325-327
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• 2008

In electrical industry, classification methodology has been an important issue for analyzing power consumption patterns. It has many applications including decisions on energy purchasing, load switching as well as helping in infrastructure development. Our aim in this work is to classify the electrical section and find potentially non-safe electrical sections. For this purpose, we use Emerging Patterns based classification. The classification method uses the aggregate score of emerging patterns to build classifier. The proposed methodology was applied to a set of electrical section data of the Korea power. The test data and relational electricity information and knowledge are supported by Korea Electric Power Research Institute (KEPRI).

• Journal of Distribution Science
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• v.21 no.11
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• pp.103-111
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• 2023

Purpose: This research aims to study the selection attributes influencing the purchasing decisions of the MZ generation in online luxury stores and explores the moderating effects of consumer value. The research aims to validate the impact of reasonable pricing, brand reliability, product variety, comprehensive product information, and user-friendly interfaces on customers' decision to purchase products from online luxury stores. Research design, data and methodology: A survey was conducted with 101 participants, and data analysis included exploratory and confirmatory factor analysis, as well as covariance structure model analysis. Results: The findings reveal that brand trust, product variety, and information sufficiency significantly influence brand affect, which in turn influences purchase intention. Additionally, the study identifies that consumers prioritizing hedonic value are more influenced by brand trust and information, while those prioritizing utilitarian value are more responsive to factors like reasonable price, product variety, and ease of use. Conclusions: The study provides insights into the preferences and behaviors of the MZ generation, highlighting their digital proficiency, mobile-centric lifestyle, desire for product variety, price-consciousness, social media influence, and the availability of personalized shopping experiences as factors contributing to their preference for online luxury stores. These findings contribute to understanding consumer behavior and decision-making processes in the context of online luxury shopping.

• Asia pacific journal of information systems
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• v.27 no.2
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• pp.77-98
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• 2017

The development of mobile social networking service (SNS) triggers the growth of social commerce industry. Customers rely considerably on electronic word of mouth (eWOM) to make purchasing decisions. Thus, SNS is an important commercial platform that offers attractive opportunities and challenges to firms. This study sheds light on the role of SNS as a social commerce platform by focusing on WeChat, the most popular SNS in China. This study identifies three different types of trust based on SNS that customers perceive in the context of social commerce. These types of trust are contents trust, source trust, and platform trust. This study suggests the antecedents and consequences of each trust. Our results prove that eWOM intention relies on contents trust and source trust, whereas purchase intention depends on contents trust, source trust, and platform trust. This study also finds that contents trust is positively influenced by source trust and platform trust. Finally, the result verifies the key antecedents of each trust, namely, vividness and timeliness for contents trust, competence, benevolence, and integrity for source trust, and instrumental need and social need for platform trust. The discussion and implications on the findings are provided.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.29-56
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• 2021

Recently, various types of products have been launched with the rapid growth of the e-commerce market. As a result, many users face information overload problems, which is time-consuming in the purchasing decision-making process. Therefore, the importance of a personalized recommendation service that can provide customized products and services to users is emerging. For example, global companies such as Netflix, Amazon, and Google have introduced personalized recommendation services to support users' purchasing decisions. Accordingly, the user's information search cost can reduce which can positively affect the company's sales increase. The existing personalized recommendation service research applied Collaborative Filtering (CF) technique predicts user preference mainly use quantified information. However, the recommendation performance may have decreased if only use quantitative information. To improve the problems of such existing studies, many studies using reviews to enhance recommendation performance. However, reviews contain factors that hinder purchasing decisions, such as advertising content, false comments, meaningless or irrelevant content. When providing recommendation service uses a review that includes these factors can lead to decrease recommendation performance. Therefore, we proposed a novel recommendation methodology through CNN-based review usefulness score prediction to improve these problems. The results show that the proposed methodology has better prediction performance than the recommendation method considering all existing preference ratings. In addition, the results suggest that can enhance the performance of traditional CF when the information on review usefulness reflects in the personalized recommendation service.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.291-299
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• 2021

In 2019, SUV sales surpassed sedans in the domestic sales market with phenomenal domestic sales. The strength of SUVs around the world is expected to continue in the future. South Korea's K-company aggressively launched small SUVs in the SUV market. Its simple lineup is recognized as a brand image, not as a SUV. It is time to evaluate this. Therefore, it influences the purchasing decisions of potential customers and buyers of small SUVs through the evaluation of design images of small SUVs in Korea. Rather than the functional properties of the SUV model, it is purchased by emotional characteristics, brand symbolism, and image. Subconsciousness of the purchasing psychology of the end consumer was used by metaphor extraction techniques. Customers wanted to study the evaluation of small SUV design images that fit their needs. We wanted to see if consumers who intend to purchase or purchase small SUVs in Korea had a connection with the image of design of small SUVs in Korea. The conclusion of the study was extracted through ZMET, a metaphor extraction technique, with the latent consciousness of the primary ambiguous message from the consumer's feeling and representation of the image. Therefore, based on the results of this study, we hope that the images presented in SUVs in the future will be used as a design guide in the development of small SUVs to influence customer thinking and behavior.

• Journal of Korean Home Economics Education Association
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• v.31 no.3
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• pp.57-71
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• 2019

This study intended to analyze the ethical clothing consumption behavior of female adolescents and use it as a basic data for education. Specifically, the female adolescents were classified according to their shopping orientation and then the differences among these groups were examined in terms of their ethical consumption behavior of clothing products, i.e., buying, using and disposing. As a result, three groups were identified: pleasure-seeking, intermediate, independence pursuing according to the shopping orientation sub-factors (loyal, enjoyment, impulsive, imitative and independent). The pleasure-seeking group were more likely to conduct ethical use behavior of clothing products, while the independence-pursuing group conducted more ethical buying and ethical disposing behavior. The lower their desire to enjoy shopping itself, the more cautious they are about their own decisions, and the more confident they about buying from the brand and store they liked, the more likely they were to conduct ethical buying behavior of clothing products. On the other hand, when the emotional and desire-seeking tendencies are combined with independent shopping tendencies, the more likely they conduct ethical use behaviors. In addition, the more they make independent purchasing decisions, the more likely they are to conduct ethical disposal behaivors. The results of this study suggest that providing detailed consumer education that considers individual differences in shopping orientation is needed.

• The Research Journal of the Costume Culture
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• v.22 no.1
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• pp.126-142
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• 2014

This research aims to analyze jeans possession and perceptions of jeans' fit among women in their 20s to help improve the accuracy of purchase decisions in online shopping and to provide basic data necessary to overcome limits in the fit conveyance method of online shopping malls. A sample of 149 females in their 20s was divided into two groups according to height, waist size, and interest in fashion, and several factors were analyzed: jeans possession status, the fit of purchased jeans, the reason for purchase, and the perception of jeans' fit. The results are as follows. The group with a high interest in fashion owned more skinny jeans, and there was a higher frequency of purchasing skinny jeans during the last year among those with a height of 160 cm or more, a waist size of less than 27 inches, and a high interest in fashion. Of the respondents, 92.6% accurately understood skinny fit, 51.7% understood straight fit, and 56.4% understood regular fit. There was no significant difference in the perception of skinny fit or regular fit, but straight fit was better understood by the group with a waist size of 27 inches or more. Thus, by providing accurate size information and analyzing the body shapes of consumers, online shopping malls will be able to increase customer satisfaction with pants of various fits to reduce the rate of returns.

• Journal of the Korean Dietetic Association
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• v.23 no.2
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• pp.129-142
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• 2017

The purpose of this study was to compare the usage of beef and foodservice managers' perceptions of beef quality by foodservice type. A survey was conducted on 546 dietitians, and 499 acceptable responses were used for data analysis. By weight, pork was the most used meat in foodservice institutions, followed by poultry and beef. More than half of the foodservices selected meat suppliers by competitive bidding. Approximately 85.8% of the respondents used Hanwoo beef, followed by Australian beef and Youku beef. Beef type differed significantly by foodservice type (P<0.001): most of the schools and social welfare facilities used Hanwoo beef, whereas most hospitals and business/industry operations used Australian beef. When purchasing beef, safety of beef was rated the most important, while eco-friendliness was rated the least important. Most of the dietitians understood that marbling is one of the determinants of the beef quality, but were not aware of other components. Dietitians that selected Hanwoo and Youku beef were more satisfied with quality, taste, nutrition, freshness, country of origin, package, customer, preference, and availability for various menus than those who used imported beef. Dietitians who used Hanwoo beef were the most satisfied with country of origin, whereas the others were the most satisfied with safety. Since the dietitians are in charge of planning menus and selecting meat suppliers at foodservice institutions, they should make knowledgeable decisions by understanding meat supply systems and quality of beef.