• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.7
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• pp.1000-1014
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• 2013

This study identifies the determinants that influence attitude toward and the intention to use mobile shopping services through fashion applications (apps) based on the technology acceptance model. In addition, gender and age group differences were examined. Data were collected from subjects who have used smartphone fashion related apps; subsequently, a total of 327 data were analyzed. About 46% of respondents were males, with a mean age of 34.4 years that ranged from 20 to 49 years old. Multiple regression models were developed based on the research model. Perceived usefulness, perceived ease of use, perceived enjoyment, perceived risks (security risk and quality risk), fashion involvement, and fashion app attributes (product attributes and service attributes) were employed as predictors of attitudes towards mobile shopping. Attitudes towards mobile shopping and subjective norms with the aforementioned variables measured the intention to use. Attitudes towards mobile shopping were predicted by perceived enjoyment, perceived usefulness, and service attributes. Attitudes toward mobile shopping and subjective norms were the most important predictors of the intention to use. Gender differences were found in that service attributes were significant for attitudes towards mobile shopping only in the male model. Age differences were also found and perceived usefulness was the most important predictor of attitudes toward mobile shopping among those in their 20's; however, perceived enjoyment was the most important among those in their 30's and 40's. Quality risk was only significant to explain intention to use among those in their 40's. The findings of this study are useful to understand the possibility of the adoption of mobile shopping though fashion apps and provide basic insight into market segmentation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.304-307
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• 2015

It's a shame one of the famous places of Busan is the underground shopping area on the decline gradually. The reason why we developed this application is to provide information of the desired product and store for other residents as well as Busan residents. As a result, we expect a revival of underground shopping area. The main features of the application are to provide the location of shops and the information of products. In addition, it provides information of shops around me to utilize of location-based-service. We studied the possibility of win-win situation between offline stores and online through this application.

• The Journal of the Convergence on Culture Technology
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• v.2 no.4
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• pp.61-64
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• 2016

As the number of smart phone user is increasing, the on-line shopping malls are actively taking part in mobile market, and accelerating the competition of mobile shopping market. This is a reflection of mobile shopping market growing as huge market. This thesis deals with the growth of mobile market and mobile shopping mall application regarding the clothings which occupy high ratio in mobile market. This study aims to improve customer satisfaction based on more specific customer information, and to increase the satisfaction of both company and customer by lowering the return rate.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.95-107
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• 2005

As online shopping malls have emerged as a substantial shopping channel, they have used various sales promotion strategies to acquire new customers. Most of these strategies have been applied by offline malls for years. One, loss-leader pricing, is a type of promotional pricing in which stores sell well known products below their marginal cost, in order to attract customers and induce them to purchase more goods through impulse buying. This strategy is based on the expectation that customers will factor transaction costs into their purchasing decisions. However, its application to online malls fails to recognize that transaction costs are lower online, and that customers will behave differently as a result. Our study predicts that loss-leader pricing will not work online because online malls entail lower searching and moving costs than offline malls The study examines the effectiveness of loss-leader pricing with empirical data from a survey as well as log data from a Korean online shopping mall. The results show that while loss-leader pricing does attract customers to online shopping malls, it encourages cherry-picking rather than impulse purchases of regular-price goods.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.485-499
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• 2012

With the maturity of department stores and discount stores, many Korean retail companies have an interest in developing outlet shopping centers such as Yeoju Premium Outlet so on. To develop a successful outlet shopping center, developers should understand consumer's preferences on many attributes of development alternatives. This study analyzes consumer's preferences on outlet shopping center and evaluates various development alternatives by using conjoint analysis. With empirical research for outlet shopping center development, this study can elicit potential shopper's preference for outlet shopping center. The empirical result shows discount rate is most important attribute to develop outlet shopping center. The potential shoppers have higher preference for higher discount rate. Location is the second important attribute. Brand is the least important attribute. By using utilities derived from analysis, this study performs various choice simulations. Through choice simulation analysis, this study tries to find the best development alternative for new outlet shopping center.

• Korean Management Science Review
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• v.17 no.3
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• pp.97-118
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• 2000

This paper proposes an evaluation model for internet shopping mall business by defining its characteristics and evaluation criteria. We analyzed the characteristics of internet shopping mall business environments and classified the business into four major categories. We derived the evaluation criteria which can evaluated all categories comprehensively. The proposed criteria are cost, netizen, technology, transaction, and marketing, each of which gives a significant impact on the business profitability. Based on these criteria, a quantitative evaluation method was developed. We also proposed a penta-classification scheme which can be used to identify the overall characteristics shape of each internet shopping mall business site. An actual application of our evaluation model was illustrated in order to show that our proposed model may be used in the real business sites.

• Journal of Internet Computing and Services
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• v.2 no.1
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• pp.63-75
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• 2001

With the popularization of internet, its application fields are spreading out every industry parts, especially there are great change in marketing areas by the internet. One of them is shopping mall. Assembly PC of old method being sale shopping mall is not consider in compatibility of each devices, because of using the assembling method of it. In this paper, in order to their has not specific knowledge on computer and consider of a compatibility to each devices, our implemented shopping mall that on the provided convenience by using the on-line customer, M implemented intelligent agent can advise compatibility of each devices using Fuzzy value.

• The Journal of Information Systems
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• v.15 no.2
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• pp.31-47
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• 2006

The Internet has been developed interactive media for electronic commerce. This progress is affected by the growth and adoption of virtual community technology, real time dialogue, and video conference etc. Recently, 'blogs' are rapidly diffusing to personal media on the internet. In this paper, we first review the previous research relevant to 'blogs', and then analyze the business models for blog systems presented by previous researchers. We develop a yard-sale shopping mall on the basis of analysis, design, and implementation of blog application for e-commerce, using Mcrosoft ASP.Net. This article describes the yard-sale shopping mall on a blog, presents an example of its abilities, and describes planned future research.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.411-416
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• 2019

This study focused on IKEA Place in IKEA and Amazon AR View in Amazon to study the differences between AR shopping applications. The first literature study examined the status and prospects of the AR market and conducted a case study on AR shopping applications. In the second phase, 'Honeycomb Model' of Peter mobile was reorganized into six usability principles, focusing on the major functions of AR shopping mall application, to conduct surveys and in-depth interviews based on the task. Based on this study, it is expected to help increase AR-based application user experience, concentrating on the actual experience of the user and finding out the major experience factors.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.145-158
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• 2020

With the development and widespread application of online shopping, the number of online consumers has increased. With one click of a mouse, people can buy anything they want without going out and have it sent right to the doors. As consumers benefit from online shopping, people are becoming more concerned about protecting their privacy. In the group buying scenario described in our paper, online shopping was regarded as intra-group communication. To protect the sensitive information of consumers, the polynomial-based encryption key sharing method (Piao et al., 2013; Piao and Kim, 2018) can be applied to online shopping communication. In this paper, we analyze security problems by using a polynomial-based scheme in the following ways : First, in Kamal's attack, they said it does not provide perfect forward and backward secrecy when the members leave or join the group because the secret key can be broken in polynomial time. Second, for simultaneous equations, the leaving node will compute the new secret key if it can be confirmed that the updated new polynomial is recomputed. Third, using Newton's method, attackers can successively find better approximations to the roots of a function. Fourth, the Berlekamp Algorithm can factor polynomials over finite fields and solve the root of the polynomial. Fifth, for a brute-force attack, if the key size is small, brute force can be used to find the root of the polynomial, we need to make a key with appropriately large size to prevent brute force attacks. According to these analyses, we finally recommend the use of a relatively reasonable hash-based mechanism that solves all of the possible security problems and is the most suitable mechanism for our application. The study of adequate and suitable protective methods of consumer security will have academic significance and provide the practical implications.