• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.7
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• pp.1104-1115
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• 2008

The main purpose of this study is to analyze how differences in lifestyle affect the consumer decision making process on Korean and Chinese consumers. We conducted a survey on 210 female college students to gather the data needed. Through this study we were able to distinguish five different type of lifestyles; the confident, the charismatic, the vogue pursuing, the competitive, and the sociable. We also found out that the consumers of Korea and China with different lifestyles act differently throughout the decision making process. Chinese consumers were more influenced by advertising than Korean consumers. Korean and Chinese consumers also showed a difference in the perception of cosmetic prices, purchasing motivations, types of cosmetics, and where it was made from. Both Chinese and Korean consumers are influenced by salesperson more than any other marketing variables at point of purchase. The findings of this study are expected to help marketer make successful marketing strategy for cosmetics business in China.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.211-218
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• 2003

인터넷을 통해 물품 / 서비스 / 정보를 거래하는 것이 이제는 더 이상 새로운 현상이 아니다. 즉, 정보활용기술의 급진적 발전으로 인터넷을 통한 상거래는 시간과 장소 그리고 취급 품목의 제한 없이 필요한 거래를 할 수 있게 되었다. 그러나, 인터넷 쇼핑은 컴퓨터를 물리적으로 인터넷에 접속되어 있어야 만이 필요한 내용을 검색하고 주문하여 구매를 할 수 있어 21 세기를 바쁘게 살아가는, 많은 이동이 수반되는 사람들에게는 물리적 인터넷 접속은 하나의 큰 제한이 되고 있다. 따라서 소비자들을 이러한 한계를 초월할 수 있는 무선으로 인터넷에 연결하여 이동 중에도 핸드폰을 통해 쉽고 간편하게 그리고 더욱 편리하게 상거래 행위를 유도하는 것은 자연스러운 현상이라고 할 수 있다. 이 연구는 이러한 요구에 부응하기 위해 일본과 한국에서 이동전화를 이용하는 사람들의 특정을 살펴보고 1) 이동 전화사용의 주목적, 2) 이동전화가 편리한 이유, 3) 이동전화 형태의 선호도, 4) 이동전화 사용의 심리적 안정, 5) 이동전화 사용의 문제점 등에 대한 내용을 설문조사를 통해 조사하여 추후 이동전화를 통해 물품 / 서비스 / 정보를 구입할 의향에 어떠한 영향을 미치는 가를 조사하는 것이다.

• Archives of design research
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• v.19 no.5 s.67
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• pp.243-254
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• 2006

Maniac consumers have a ripple effect on marketing because they are the main body of trends and consumer economy. So It is very important that we should first read needs and wants - in other words, psychological motives. And then we should find maniac consumer segments. This is an exploratory study that was done to obtain an insight for the new maniac consumer market segmentation. It examined the definition and characteristics of digital maniacs in Korea, and it carried out a literature study on consumers who have a similar consumption trend as the maniac users as a pre-study. Also, it looked into the trends and values of the maniac community in Korea, using the previous study's scale for innovative consumers. Next, the study interviewed maniac users using the first data and focused on discovering and grouping the new maniac segments based on the results. The study analyzed the purchase behaviors, decision-making, attitude for involvement and potential needs of the digital maniacs in Korea, and it discovered the segments for the segmentation of maniacs so it could find out the disposition and status of the digital maniacs. Such approach can be used as a strategical due for maniac target marketing and design(customer-oriented marketing and design) in the future.

• The Journal of the Korea Contents Association
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• v.6 no.3
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• pp.75-84
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• 2006

The internet has the capabilities of supporting and facilitating several forms of consumer interaction including one-to-one, one to many, or many-to-many interactions. Especially, previous studies revealed that the Online Word-of-Mouth communication is widely used as a source of customer's information seeking and purchase decision making. Even with this importance of the Online Word-of-Mouth communication on internet, few research has systematically addressed the issue. This study investigates the effect of interpersonal communication on consumers' information search activities and develops a model that depicts the key antecedents and mediating variables of interpersonal communication in internet shopping environment. The results are as follows: First, choice uncertainty, perceived risk, and knowledge uncertainty play an important role for perceived usefulness. Second, perceived usefulness has directly affected interactive communication of consumers' communication style. Thus, it is essential for internet companies to find ways to encourage their customers to engage in word-of-mouth communication.

• Information Systems Review
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• v.22 no.1
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• pp.91-111
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• 2020

E-book markets are currently moving through a period of disequilibrium as new pricing structures (i.e., flat-fee subscriptions) are rapidly embraced by major vendors. On the basis of a novel dataset, we investigate how the availability of "all-you-can-read" pricing programs influences consumers' tariff choice and contract renewal behaviors. Consistent with the rational choice framework, the findings suggest that most e-book consumers significantly gain from subscription-based tariffs. Power readers prefer flat-fee subscriptions, and those that have economically benefited renew their subscription. However, we also find some other intriguing results. Among the three subscription designs examined, the 1-week plan affords consumers more economic benefits than do 1-day or 1-month programs. Finally, iOS users are more inclined to select subscription models than are Android users because of the absence of in-app purchase functionalities for the former. The unavailability of in-app purchase affects tariff choices and transaction patterns as it increases transaction costs.

• Journal of Korean Library and Information Science Society
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• v.35 no.1
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• pp.187-213
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• 2004

Nowadays changes of financial environment are internalization, generalization and autonomous system. The most importance in a struggle for existence is to secure a customer. The purpose of this study is to analyze whether information on financial service accounts have fully offered over internet, which information consumers needed in buying financial service accounts and whether consumer have satisfied with offered information Through this, to enhance the efficiency of financial information offered to consumer over internet and to explore the consumer demanding information model by finding the problems of offering financial information. The specific purpose of this study me following; 1. to investigate the actual situation which consumers behaviour of information providing and choosing about financial accounts items on internet. 2. to analyze the relationship between the level of consumer information need about financial information and rotated variables. 3. to analyze the relationship between the level of consumer information satisfaction about financial information over internet and related variables. 4. to analyze the new information financial service and contents. 5. to analyze the informatic information and financial service accounts.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1574-1584
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• 2012

This study attempts to explore the design sensitivity of both luxury and non-luxury brand products, and its effect on purchase intention. As a result, there was no difference in design sensitivity between luxury and non-luxury brand product, but the effect of design sensitivity on purchase intention was found different between luxury and non-luxury brand. It shows that for luxury brand, the people with high design pursuit of the brand have high purchase intention while for non-luxury brand, the people with high design value of the brand have high purchase intention. It indicates that for luxury brands, consumers already recognize the value of its design, which does not affect the purchase intention. For non-luxury brands, it would be important to let consumers recognize their design value.

• Archives of design research
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• v.19 no.2 s.64
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• pp.63-72
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• 2006

The design in modern industrial society is the core of corporate administrational strategy and a factor that determines the competitiveness of a country. And the process of purchasing products is the matter related to the awareness of design which expresses the desire to own the design product that consumers prefer, implying that the aesthetic feature of product has become a critical characteristics of product design rather than the technical function of product. In this regard, the development of product design with a new dimension is urgently called for, by analyzing and shedding light on the aesthetic features of factors related to the preference of consumers. This study considers the preceding studies on the aesthetic factors and the reaction of customers to the product design to figure out the importance of factors related to the preference of customers, in an effort to shed light on the aesthetic factors that affect the customers' preference of product and the evaluation of product. In addition to that, this study investigated the preference that Korean and Chinese customers display toward the product and assessed the aesthetic features of preferred product in order to come to the conclusion from the experiment and analysis on how much effect the aesthetic factors and the aesthetic factors by product have on the preference of customers. Therefore, this study tries to propose the data that can be useful for the design of product targeted for consumers in Korea and China, by shedding light on what aesthetic factors that products preferred by consumers in Korea and China have and how much effect such factors have on the preference of consumers in an attempt to provide the guideline on the aesthetic factors of the product design.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.39-54
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• 2013

Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.3
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• pp.69-79
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• 2024

Companies should resolve consumer dissatisfaction and increase brand loyalty by actively identifying the factors of consumer dissatisfaction and proactively responding to expected complaint behavior to induce repurchase. This is a management goal that should be pursued in common regardless of the size of the company. The specific purpose of this study is to find out whether the degree of dissatisfaction differs depending on whether or not consumers' expected performance before purchase and the actual perceived performance after purchase is compared, whether the degree of dissatisfaction affects the type of complaint behavior, which is a subsequent behavior, and whether the attributable behavior has a moderating effect in this process and whether the persistence of the result and the controllability of the cause act as a factor that determines the attribution position. In particular, compared to general companies, venture companies are more likely to overload the information processing ability of managers and are likely to make various irrational errors in decision making, so this study has important academic and practical implications. As a result of the analysis, the negative inconsistency group had the highest degree of dissatisfaction, and the higher the degree of inconsistency, the higher the dissatisfaction. The attributable behavior of unsatisfied consumers had a moderating effect on the degree of dissatisfaction, and the dissatisfaction was significantly higher in the external attributable group than the internal attributable group, which was statistically significant. On the other hand, the persistence of the result had a statistically significant effect on the attribution position, but the controllability of the cause was not. The degree of attributable behavior and dissatisfaction did not affect the type of complaining behavior, showing limited influence. Along with the interpretation of these results, this study presents various implications, especially for small and medium-sized/venture companies that provide new durable products.