• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.23-38
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• 2012

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems. Our experiments use a real dataset acquired from one of the largest internet shopping malls in Korea. We use 66,278 transactions of 3,847 customers conducted during the last two years. Overall results show that the accuracy of association rules of frequent shoppers (whose average duration between orders is relatively short) is higher than that of causal shoppers. In addition we discover that with frequent shoppers, the accuracy of association rules appears very high when the co-occurrence criteria of the training set corresponds to the validation set (i.e., target set). It implies that the co-occurrence criteria of frequent shoppers should be set according to the application purpose period. For example, an analyzer should use a day as a co-occurrence criterion if he/she wants to offer a coupon valid only for a day to potential customers who will use the coupon. On the contrary, an analyzer should use a month as a co-occurrence criterion if he/she wants to publish a coupon book that can be used for a month. In the case of causal shoppers, the accuracy of association rules appears to not be affected by the period of the application purposes. The accuracy of the causal shoppers' association rules becomes higher when the longer co-occurrence criterion has been adopted. It implies that an analyzer has to set the co-occurrence criterion for as long as possible, regardless of the application purpose period.

• Fashion & Textile Research Journal
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• v.17 no.1
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• pp.116-126
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• 2015

This paper compared the properties of cosmetics depending on the shopping tendency of female consumers in Korea and China. The data on Chinese women living in Korea and Korean women in their 20s was collected using an offline survey. The data on Chinese women living in China in their 20s was collected using an online survey. Three hundred twenty-seven questionnaires out of a total of 330 questionnaires were used for statistical analysis. The survey was conducted from January to February 2014. Eighteen questions on shopping tendency and eight questions on the properties of cosmetics were analyzed using a 5-point Likert scale. Data was analyzed by Descriptives, Factor Analysis, Reliability Analysis, ANOVA and Cluster Analysis, and SPSS 21 statistical program. In accordance with the analyses, the shopping tendency comprised a showing-off tendency, pleasure-seeking tendency, and practicality tendency; the properties of cosmetics were classified into conformity and functionality. On the basis of the elements in the shopping tendency, the female consumers were categorized into a low involvement consumer group, high involvement consumer group, and hedonic consumer group. The Chinese women emphasized conformity or functionality of cosmetics more than the Korean women regardless of the countries where they lived. Regardless of shopping types or countries where they lived, the Korean and Chinese women in their 20s emphasized functionality over conformity of cosmetics. Furthermore, Chinese women living in Korea showed a similar shopping tendency to Chinese living in China.

• Management Science and Financial Engineering
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• v.20 no.2
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• pp.27-31
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• 2014

This paper studies the assortment optimization problem in online retailing by using a multinomial logit model in order to take consumer choice behavior into account. We focus on two unique features of online purchase behavior: first, there exists increased amount of uncertainty (e.g., size and color of merchandize) in online shopping as customers cannot experience merchandize directly. This uncertainty is captured by the scale parameter of a Gumbel distribution; second, online shopping entails unique shopping-related disutility (e.g., waiting time for delivery and security concerns) compared to offline shopping. This disutility is controlled by the changes in the observed part of utility function in our model. The impact of changes in uncertainty and disutility on the expected profit does not exhibit obvious structure: the expected profit may increase or decrease depending on the assortment. However, by analyzing the structure of the optimal assortment based on convexity property of the profit function, we show that the cardinality of the optimal assortment decreases and the maximum expected profit increases as uncertainty or disutility decreases. Therefore, our study suggests that it is important for managers of online retailing to reduce uncertainty and disutility involved in online purchase process.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.163-182
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• 2015

The spread of mobile commerce due to popularization of smartphones not only broke down the boundary between online and offline, but also changed the consumer life, and hence brought change of commerce paradigm that creates new demand. The success of innovative information technology such as mobile shopping can be defined as an individual accepting the technology and continuously using it, but the studies on the usage behavior after the acceptance have been done in very restrictively, despite its importance. In this study, in order to empirically investigate the factors that influence the continuance in mobile shopping usage experience and its causal relationship, Social Cognitive Theory and Habit Theory were applied to IS Continuance Model, and the extended IS Continuance Model was suggested and proved. As a result, the usefulness, enjoyment, and self-efficacy perceived in usage experience significantly influence satisfaction, and usefulness, self-efficacy, and satisfaction influence habit. Also, usefulness, self-efficacy, satisfaction, and habit significantly influence continuance intention. This study provides a valuable asset in providing an opportunity to understand the usage behavior of mobile shopping service users after the acceptance, and furthermore proving directionality in improving customer loyalty.

• Journal of Wellbeing Management and Applied Psychology
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• v.5 no.3
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• pp.7-17
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• 2022

Purpose: With the introduction of Web 2.0, the advent of smartphones, and the recent outbreak of COVID-19 worldwide, interest in online shopping has soared. In an online shopping environment, the desire for impulse buying increases compared to offline shopping. Research design, data and methodology: In this study, three marketing stimulating factors such as product factor, price factor, and facilitating factor were selected which affect impulse buying for clothing and accessory products in the Korean online shopping environment. The mechanism of causal relationship among them, and the role customer value between marketing stimulating factor and impulse buying was analyzed. Results: The analysis results are as follows. First, the product factor had a significant positive effect on consumer value and impulse buying. Second, the price factor also had a significant positive effect on consumer value and impulse buying. Conclusions: Although the facilitating factor had no significant influence on consumer value and impulse buying, the indirect effect through consumer value was positively significant. Consumer value had a positive mediating effect on impulse purchase in the order of price factor, product factor, and promotion factor.

• Korea Trade Review
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• v.45 no.6
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• pp.77-97
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• 2020

This study investigates the effects of O2O-based mobile shopping application (O2O MSA)'s information and service quality on the user's perceived privacy protection, satisfaction and loyalty. In this study, 969 questionnaire reponses were collected, out of which 555 were used to estimate the structural paths using PLS-SEM (partial least square structural equation model) for the hypothesis test. Our empirical findings are drawn from Chinese respondents that live in a 1-line city in China and use O2O MSAs serviced by China's leading companies. This study examines and confirms that qualified information and service of O2O MSA positively affect both perceived privacy protection and customer satisfaction, which finally leads to customer behavioral loyalty through the perceived privacy protection. Further, this study presents effective practical implications for application development strategy suitable for users in the O2O-based mobile shopping industry.

• Journal of Digital Contents Society
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• v.16 no.3
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• pp.407-415
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• 2015

Offline English Zone refers to a physical environment in which the learners can check the results while they practice speaking and listening in English, and look up the vocabulary and information on their own. However, offline English zone is inevitably dependent on limited and artificial environment and its operation is greatly limited in having to provide an environment in which the students can spontaneously experience role play in an artificial space set in a small-scale English village consisting of shopping, restaurant, and hospital zones. The purpose of this study is to analyze the problems of the environmental restrictions in educational methodology utilizing offline English zone programs. Moreover, based on the ubiquitous concept. It is to provide a strategy for utilizing online English zone programs which utilize multimedia tools, wireless internet, and SNS.

• Information Systems Review
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• v.3 no.1
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• pp.3-18
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• 2001

The Internet is taking up every single life of us with a huge speed of growth. If the ideal market called 'perfect competition' in economics will ever come true in this digital world, the sellers won't be able to have monopolistic profits above the marginal cost any more, letting the resource allocation much more efficient. This paper attempts to test whether this theory is true in e-market as well through observing price differences between online and offline retailers of extremely homogeneous products, CDs. Since most results from previous research were supporting the inefficiency of e-market in price level, price adjustment, and especially price dispersion, this article designed the research methodology most carefully. The results of pervious works are partly due to the immaturity of the Internet market or due to the uniqueness of the American CD market, where oligopolistic market players are significantly dominant. The analysis of price data of 20 titles from 20 retailers for five weeks supports that online market is more efficient than offline market with statistical significance in all the three dimensions. We could conclude that the e-market is going much more efficient at least compared to the offline market and the more would it be unless the sellers resist and prevent comparison-shopping.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.2
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• pp.181-189
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• 2001

The proliferation of the Internet and related technologies and applications has led to a new form of market place known as the electronic store. In this paper, we study competition between two shopping channels, an electronic store and traditional retailers. Based on the circular spatial market model, we derive the Nash and Stackelberg equilibria as a function of the efficiency of the electronic store. The result shows that the Stackelberg equilibrium is always superior to the Nash equilibrium for both channels. It is also shown that, in some cases, the electronic store has incentive to decrease its efficiency to gain more profit.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.81-93
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• 2021

Through processors, wholesale markets, intermediate sellers, and retailers, agricultural products have been distributed in a multi-level customary manner for a long time as they are easy to deteriorate and no not have a standardized system of size and quality. However, with the advancement of Internet networks and logistic services during the 2000s that facilitated the development of offline markets, and the rise of the non-contact purchase preference in direct response to COVID-19, previous offline consumers flowed into the online market to purchase agricultural goods. In other words, the volume of online agricultural transactions exploded since the pandemic. Against this social backdrop, this study focused on the difference in distribution costs as a result of converting from conventional offline distribution channels to online channels, and analyzed the reduced distribution costs through a case study of garlic sales on the online platform "H" shopping mall. The analysis found that considerable economic effects occurred, some of the effects being an approximate 39% decrease in distribution cost when comparing direct online transactions of the online shopping mall with other more traditional means, a reduced distribution cost rate of approximately 28%p, and increased profit for farmers.