• Korean Journal of Human Ecology
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• v.22 no.2
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• pp.301-313
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• 2013

Though customer delight is becoming one of the most important marketing key words, research in a retail setting is limited. With the dramatic growth of online retail shopping, this study explored customer delight experiences in online shopping malls by identifying the delight elements and analyzing the elements by online purchase steps. A total of 124 delight experiences collected from an unstructured questionnaire were content-analyzed. Delight elements in online shopping were categorized into service, product, price, delivery, package, and shopping mall operation in that order. Service related elements including free gifts and letters, recovery efforts for service failure, kind employees, and easy return were most frequently observed. Delights were experienced at the product receiving point, the prior-to-purchase point, the order-to-delivery point, and the post-purchase point in that order. The results revealed that customer delights in online shopping were experienced in various purchase steps by various marketing elements. Based on the results the study provided research propositions exploring the effects of expectation vs surprise, monetary vs non-monetary/emotional benefits/rewards, and core marketing elements vs augmented services on delight experiences.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.199-218
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• 2016

The purpose of this study is to investigate the determinants of consumer's repurchase intention in the foreign direct sales shopping malls, focusing on the Japanese customers. Research model of the study is composed of seven independent variables (price competitiveness, product diversity, reputation, country-of-origin image, ease of use, delivery service, after service), a mediating variable (trust) and a dependent variable (repurchase intention). The results of this study show that trust is an important factor affecting the repurchase intention of customers. Customers' trust is affected by the reputation, country-of-origin image, ease of use, delivery service, after service. However, price competitiveness and product diversity, which are hypothesized to affect the trust, are not statistically significant. This study will provide a basis for future research on the foreign direct sales area. In addition, it will provide practical information useful in launching and/or operating the foreign direct sales malls.

• Korean Business Review
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• v.17 no.2
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• pp.63-87
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• 2004

To create and maintain comparative supremacy as a strategic tool of business, many organizations have introduced informational technology and system. By using this system, Some companies got a beneficial value for achieving organizational goals but others could not obtain their effectiveness and efficiency. In particular, a lot of organizations that tried to make strategic supremacy with e-commercial trade are under hard condition because of poor profit. It implies that it is essential to identify and analyse the consumer who uses e-commercial trade. This paper, therefore, focusing on internet shopping malls between business and consumer as one of areas of e-commercial trades, shows the difference between consumer expectation and performance. The results of this study are as follows: First, as for the significant difference of influencing factors to consumer satisfactions according to the types of internet shopping malls, there is a meaningful difference in consumer anxiety and internet usefulness, but not in consumer service. Prior to verify the differences in detail on consumer's anxiety and internet usefulness, we examined that there is any difference between expectation and performance. T-test was used for the variants of consumer anxiety and internet usefulness, and its meaningful probability was 0.000, which means that both showed statistically significant difference. Based on the results, we also found that regardless of the types of internet shopping malls, consumer expectation was greater than performance. although the difference between expectation and performance was not equal according to the internet shopping malls. Second, a regression analysis was performed to understand the relation between consumer service, internet usefulness, consumer anxiety, and consumer satisfaction, it was found that consumer service, internet usefulness, consumer anxiety had significantly effected on consumer satisfaction. Third, To verify the relation between consumer satisfaction and repurchase-intentions, intentions to spread out, Pearson correlation analysis was used. it was found that consumer satisfaction had positive effect on both intentions. This study has some limitations because of the shorts of money and time. since the sample of this study was consumers who have ever bought one or more products via internet shopping mall, this sample was appropriate. but the major parts of sample were college students, and the sample size was so small. therefore this results should carefully be generalized. For further study, it is required to select more precise samples and to include more variables.

• Journal of Industrial Convergence
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• v.9 no.1
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• pp.33-66
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• 2011

As an information-oriented society is arrived. an internet market has been developed steadily. This advance of internet market made the augmentation of purchasing clothes, and thus the fashion trade has tried to use effectively the internet marketing as a new channel of profit increasement. However, the fashion trade did not utilize efficiently an internet as a marketing mediation so far. This results from the want of coping with consumer behavior on the internet community. To answer the necessity of analysis of consumer behavior, this thesis inquires the difference of buying clothes on the internet shopping mall according to the lifestyle of consumer. Then this thesis provides the strategy of internet marketing fitted to each lifestyle for making a good profit. The inquiry was conducted to university located on Seoul, and the lifestyle of undergraduate was categorized to five groups, that is, trendy, information-inclined, economical purchase, brand-inclined, and spirit-pursuit types. This thesis analyzed the difference of consumer behavior of each type according to various factor, and presented a marketing strategy fitted to each type from these analysis results.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.129-141
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• 2010

An Internet shopping mall for clothing operates a warehouse for packing and shipping products to fulfill its orders. All the products in the warehouse are put into the boxes of same brands and the boxes are stored in a row on shelves equiped in the warehouse. To make picking and managing easy, boxes of the same brands are located side by side on the shelves. When new products arrive to the warehouse for storage, the products of a brand are put into boxes and those boxes are located adjacent to the boxes of the same brand. If there is not enough space for the new coming boxes, however, some boxes of other brands should be moved away and then the new coming boxes are located adjacent in the resultant vacant spaces. We want to minimize the movement of the existing boxes of other brands to another places on the shelves during the warehousing of new coming boxes, while all the boxes of the same brand are kept side by side on the shelves. Firstly, we define the adjacency of boxes by looking the shelves as an one dimensional series of spaces to store boxes, i.e. cells, tagging the series of cells by a series of numbers starting from one, and considering any two boxes stored in the cells to be adjacent to each other if their cell numbers are continuous from one number to the other number. After that, we tried to formulate the problem into an integer programming model to obtain an optimal solution. An integer programming formulation and Branch-and-Bound technique for this problem may not be tractable because it would take too long time to solve the problem considering the number of the cells or boxes in the warehouse and the computing power of the Internet shopping mall. As an alternative approach, we designed a fast heuristic method for this reallocation problem by focusing on just the unused spaces-empty cells-on the shelves, which results in an assignment problem model. In this approach, the new coming boxes are assigned to each empty cells and then those boxes are reorganized so that the boxes of a brand are adjacent to each other. The objective of this new approach is to minimize the movement of the boxes during the reorganization process while keeping the boxes of a brand adjacent to each other. The approach, however, does not ensure the optimality of the solution in terms of the original problem, that is, the problem to minimize the movement of existing boxes while keeping boxes of the same brands adjacent to each other. Even though this heuristic method may produce a suboptimal solution, we could obtain a satisfactory solution within a satisfactory time, which are acceptable by real world experts. In order to justify the quality of the solution by the heuristic approach, we generate 100 problems randomly, in which the number of cells spans from 2,000 to 4,000, solve the problems by both of our heuristic approach and the original integer programming approach using a commercial optimization software package, and then compare the heuristic solutions with their corresponding optimal solutions in terms of solution time and the number of movement of boxes. We also implement our heuristic approach into a storage location assignment system for the Internet shopping mall.

• Journal of Global Scholars of Marketing Science
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• v.7
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• pp.147-165
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• 2001

To sustain successful relations with its customers, an internet business enterprise has to understand precisely the difference between customers' behaviour and their purchasing behaviour pattern on its customer basis. For this purpose, I closely looked into what difference there was between a leading variable which had an effect on internet customer long-term orientation and a special variable depending on period of transactions To prove this research, I analyzed collected data in which customers had experienced in shopping at internet shopping mall and discussed strategic current issues about its analytic results.

• The KIPS Transactions:PartD
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• v.9D no.2
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• pp.277-288
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• 2002

A service broker supporting customers plays an important role in internet marketplaces. Recently. several intelligent brothers have been developed for electronic commerce, outline shopping mall, and electronic marketplaces. While these systems provide interesting shopping experiences, they fall short in fully exploiting the capabilities, such as the service integration and automatic execution required by internet market places. In this respect, we propose a workflow-based service broker system. Dependent services in our approach are modeled as workflow processes, which are automatical1y processed by a workflow engine. In the proposed system all data exchanges are realized through XML providing platform independent, extensible, open. and interoperable architecture.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.575-586
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• 2011

This study first examines the effect of perceived body characteristics, satisfaction with body characteristics on perceived size related risk, and internet shopping clothing behaviors; in addition, it also examines the effect of the perceived size related risk on clothing behaviors. A questionnaire was conducted with responses from 219 female students, aged 19 to 25. Data was analyzed by frequency analysis, correlation analysis, ANOVA and Duncan test. The findings suggest that a consumer satisfied with body characteristics has active clothing behaviors to improve her appearance or body image. The effects of perceived body characteristics and satisfaction with body characteristics on perceived size related risk are also identified. The perceived size related risk increases when the size information of an internet shopping mall is insufficient compared to the situation when the consumer is not satisfied with her body characteristics. The meaningful differences of clothing behaviors according to extent of perceived size related risk are identified.

• The Journal of Society for e-Business Studies
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• v.13 no.3
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• pp.21-49
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• 2008

The area of the internet shopping mall heavily relies on new emerging information technologies, and it essentially requires delicate marketing model to support consumer behavior. RSS, which is one of the representative Web 2.0 technologies, is the system that distributes digital contents without any Web browser. RSS is expected not only to be very useful in online marketing but also to become actively applied on various areas such as online newspapers and blogs. AISAS model was proposed to complement the AIDMA model that did not cover the new changing customer behaviors of online commerce environment such as search and share. In this research, we propose a marketing model which utilizes RSS based on the AISAS model to support internet shopping malls. With our marketing model, internet shopping malls are expected to provide required services to the customers at every AISAS step. Moreover, it can provide integrated services by connecting all service components of each step. We utilized RSS in our model to implement those services because RSS has many advantages on supporting search and share of product information.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.1
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• pp.37-50
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• 2011

This study analyzed the content of special selling events in internet shopping malls to establish academic standards for special selling events as tools for sales promotions and to suggest systematic guidelines for marketers designing special selling events. Based on a content analysis, the titles of special selling events from four internet shopping malls selling women's apparel were analyzed. A total of 692 titles were analyzed. The results are as follow. First, the contents categories of special selling events could be classified into two groups such as 'theme' and 'tool'. Season, product characteristics, style, advice/information, brand, annual/social events, and marketing events were the main content categories that came under the 'theme' group; in addition, the price benefit, free offers, product mix, and marketing technique were the main content categories that came under the 'tool' group. Each main content category was subdivided into several segment content categories. Second, most of the titles were composed of more than two segment content categories that involved various information and benefits; however, the portion of titles composed of only theme related content categories or only tool related content categories was substantial. Furthermore, the theme related content categories were more than the tool related content categories. Third, the usage frequencies of the contents categories were analyzed. The upcoming season, single brand, sale/discount, item/material/color, special price/lowest price, and period/time/quantity limits were the segment content categories that held a high rank. Forth, most of the factors that evoked the unplanned purchases of consumers were related to the content categories of special sale events.