• The Research Journal of the Costume Culture
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• v.20 no.2
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• pp.195-207
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• 2012

In South Korea, the growth of online shopping malls that are overtaking traditional offline distributors in sales requires the latter to concentrate on developing a variety of contents amidst the ever-changing and competitive market environment. First of all, attention should be paid to information on fashion item materials. This study examined the current status of online shopping malls with a focus on their three different types-specialized malls, general malls, and open markets-and investigated consumers' hedonic shopping motives and influence on fashion materials in terms of purchasing behavior. In doing so, this study surveyed men and women in their 20s-30s residing in Seoul or its surrounding cities and used a total of 255 questionnaires for statistical analysis. The statistical software program SPSS 15.0 was used to conduct frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The study results showed that in general and specialized shopping malls, consumers granted greater reliability and importance to fashion materials when their interest in shopping or attention to fashion items/brands was high and when they wanted rare items. In open markets, the more interest consumers had in shopping and the more sensitive they were to fashion information, the more dependent they were on prices; in other words, prices were found to have a greater influence on their purchase decisions than the quality of fashion materials. The findings of this study would be useful to marketers and distributors who are trying to develop their marketing strategies based on fashion material information, according to the different types of online shopping malls.

• Journal of Fashion Business
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• v.16 no.2
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• pp.151-162
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• 2012

The industry-wide development of digital technologies has also affected the textile and fashion industries immensely. The applications of 3D technology, virtual reality, and/or augmented reality systems have helped to create novel fashion brands based on the marriage of IT and textile/fashion industries. 3D digital virtual clothing systems have been developed to help the textile and fashion industries in terms of the planning, manufacturing, marketing and sales sectors. So far, most of the development effort for the 3d virtual clothing systems has been focused on the woven fabrics. The characteristics of woven fabrics differ from those of knitted fabric. Since the physical structures and mechanical properties of the knitted fabrics are definitely different from those of woven fabrics, the simulation process for the knitted fabrics should follow different approaches. The loops in a knitted fabric deform easily. The deformation results in a readily stretchable fabric appearance. Cloth simulation mostly employs models that approximate the mechanical properties of linear elastic planes. This simulation scheme does not, however, describe well enough the behavior of knitted fabrics, which deviate largely from the linear isotropic material characteristics. This study aims at characterizing the tensile deformation and surface textures of a knitted fabric product. Tensile deformation curves for the wale, course, and bias direction are analyzed. The surface texture of the knitted fabric is analyzed by using a 3-dimensional scanning device.

• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.515-523
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• 2012

Most companies make efforts to maximize their profitability by improving loyalty to existing customers through customer relationship management (CRM). According to the Wikipedia, CRM is a widely implemented strategy for managing a company's interactions with customers, clients and sales prospects. And RFM is a method used for analyzing customer behavior and defining market segments. It is commonly used in database marketing and direct marketing and has received particular attention in retail. In general, one considers recency, frequency, and monetary for customer segmentation in RFM method. In this paper, we apply RFMP method added to the purchase period of advertising items in the traditional RFM model for real estate customer segmentation. We will be able to establish the differentiated marketing strategy by RFMP method.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.523-535
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• 2017

Despite consumers' increasing awareness and interests in innovative wearable devices, the sales growth has been stagnant. To analyze this phenomenon, we investigate consumer preferences for various innovative features embedded in wearable devices. Conducting conjoint analysis on smartwatches, we empirically show that the curse of innovation can occur when the consumer's expected utility from the smartwatch falls short of his/her psychological cost associated with behavior change from smartwatch usage. Therefore, our findings provide managerial implications on the R&D strategy for new technologies and more importantly on the marketing strategy easing consumers' resistance to highly innovative products.

• Asia pacific journal of information systems
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• v.16 no.3
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• pp.67-93
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• 2006

Some consumers prefer online and others prefer offline. What makes them prefer online or offline? There has been a lack of theoretical development to adequately explain consumers' channel switching behavior between traditional physical stores and new virtual stores. Through consumers' purchase decision processes, this study examined the reasons why consumers changed channels depending on purchase process stages. Consumer's purchase decision process could be divided into three stages: pre-purchase stage, purchase stage, and post-purchase stage. We used the intention of channel selection as a surrogate dependent variable of channel selection. And some constructs, that is, channel function, channel benefits, customer relationship benefits, and perceived behavioral control, were selected as independent variables. In buying look-and-feel products, it was identified that consumers preferred virtual stores to physical stores at pre-purchase stage. To put it concretely, all constructs except channel benefits were more influenced to consumers at virtual stores. This result implied that information searching function, which is a main function at pre-purchase stage, was better supported by virtual stores than physical stores. In purchase stage, consumers preferred physical stores to virtual stores. Specially, all constructs influenced much more to consumers at physical stores. This result implied that although escrow service and trusted third parties were introduced, consumers felt that financial risk, performance risk, social risk, etc. still remained highly online. Finally, consumers did not prefer any channel at post-purchase stage. But three independent variables, i.e. channel function, channel benefits, and customer relationship benefits, were significantly preferred at physical stores rather than virtual stores at post-purchase stage. So we concluded that physical stores were a little more preferred to virtual stores at post-purchase stage. Through this study, it was identified that most consumers might switch channels according to purchase process stages. So, first of all, sales representatives should decide that what benefits should be given them through virtual stores at the pre-purchase stage and through physical stores at the purchase and post-purchase stages, and then devise collaborative channel strategies.

• Korean Journal of Community Nutrition
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• v.9 no.2
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• pp.183-190
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• 2004

This study was designed to identify how customers considered menu selection attributes on menu choice, and so the instrument for measuring that question was developed and menu selection behavior types were analyzed by customers' characteristics. Cronbach's alpha to assess the internal reliability of the developed scales was 0.8361, which indicated to be highly reliable. Construct validity was assessed by principal components factor analysis with a Varimax rotation to identify underlying dimensions of menu selection and then four factors explaining 55.618% of the total variance were found. These factors were labeled as 'quality of meals', 'attractiveness of meals', 'healthfulness of meals' and 'variety of meals', respectively. As a result of analysis on menu selection factors, 'quality of meals'(3.82 out of 5) was the highest consideration followed by 'variety of meals'(3.51), 'healthfulness of meals'(3.49) and 'attractiveness of meals'(3.34), so that menu marketing approaches in the perspective of quality of meals would do lead customers' selection rates, customer satisfaction and then sales highly. Frequent visitor selected menu indifferently but customers who were interested in food and menu highly, who perceived meals' quality highly, and who were satisfied with overall foodservice did with concern. On the basis of these results of study for the target of food court-style B ＆ I foodservice operation, which was introduced as an ideal model in future foodservice market by the concept of 'customer's selection right', the following study related with customers' meal patterns and perception of foodservice by menu selection attributes would be able to predict the chances for success of food court-style foodservice operations.

• Journal of the Korea Computer Industry Society
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• v.2 no.7
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• pp.945-952
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• 2001

In consequence of expansion of internet users, electronic commerce is becoming a new prototype for marketing and sales, arid most of electronic commerce sites or internet shopping malls provide a rich source of information and convenient user interfaces about the organizations customers to maintain their patrons. One of the convenient interfaces for users is service to recommend products. To do this, they must exploit methods to extract and analysis specific patterns from purchasing information, behavior and market basket about customers. The methods are association rules and sequential patterns, which are widely used to extract correlation among products, and in most of on-line electronic commerce sites are executed with users information and purchased history by category-oriented. But these can't represent the diverse correlation among products and also hardly reflect users' buying patterns precisely, since the results are simple set of relations for single purchased pattern. In this paper, we propose an efficient mining technique, which allows for multiple purchased patterns that are category-independent and have relationship among items in the linked structure of single pattern items.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.98-108
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• 2015

This paper introduces the existence of purchase dependence that was identified during the analysis of inventory operations practice at a sales agency of dealing with spare parts for ship engines and generators. Purchase dependence is an important factor in designing an inventory replenishment policy. However, it has remained mostly unaddressed. Purchase dependence is different from demand dependence. Purchase dependence deals with the purchase behavior of customers, whereas demand dependence deals with the relationship between item-demands. In order to deal with purchase dependence in inventory operations practice, this paper proposes (Q, r) models with the consideration of purchase dependence. Through a computer simulation experiment, this paper compares performance of the proposed (Q, r) models to that of a (Q, r) model ignoring purchase dependence. The simulation experiment is conducted for two cases : a case of using a lost sale cost and a case of using a service level. For a case of using a lost sale cost, this paper calculates an order quantity, Q and a reorder point, r using the iterative procedure. However, for a case of using a service level, it is not an easy task to find Q and r. The complexity stems from the interactions among inventory replenishment policies for items. Thus, this paper considers the genetic algorithm (GA) as an optimization method. The simulation results demonstrates that the proposed (Q, r) models incur less inventory operations cost (satisfies better service levels) than a (Q, r) model ignoring purchase dependence. As a result, the simulation results supports that it is important to consider purchase dependence in the inventory operations practice.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.66-71
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• 2021

In this paper, we sought ways to accept and reject advertisements using the function of a smartphone gyro sensor to enable selective transmission and reception of YouTube advertisements by linking the gyro function of mobile phones. In the case of YouTube advertisements, the skip button is activated after the advertisement is played for a certain period of time (about 5 seconds) before and after the video is played. During the time the advertisement is maintained, it can be used to achieve various goals such as increased website traffic, brand awareness, and sales induction. Since this type of advertisement is not a setting in which the transition takes place immediately, it can be seen as the most suitable setting to strengthen brand awareness. However, due to the nature of the YouTube advertising system, it is often discarded through users' skipping behavior in the process of sharing and reproducing information. Therefore, in this paper, we implemented an optional advertisement transmission system that applies the principle of gyroscope to minimize wasted advertisements and selectively maintain desired advertisements in consideration of the transmission and reception aspects of advertisement broadcasts. It measures rotational repulsive force with directional stability and car wash characteristics, and uses algorithms to identify the slope and angular speed of mobile phones to ensure that advertisements are transmitted and received. Through this, it is expected that advertisement transmission can be performed on the side of an advertisement provider, and selective advertisement reception can be performed on the side of a user.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.573-575
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• 2016

Consumption habits of children who economic consumption habits has not been established is a very big concern for parents. According to the credit recovery committee (2006) youth consumption behavior and needs assessment of the education of, he answered that 60.9% of young people have experienced the impulse buying. Student consumption of is done in pin money to receive almost to the parent. Most of the pin money, in order to be paid in cash, is often consumed with the payment directly in the offline sales floor. Pin money is, or waste to students senseless consumption, to trick the price of the purchase goods, to parents, so as to require a greater amount without parental monitoring and agree. In this paper, we would like to propose a system to solve the problem of giving the authority to make decisions off-line payment from student to the parent.