• Management & Information Systems Review
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• v.30 no.2
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• pp.1-25
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• 2011

In this study, a survey of online coupon user in their 20's and 30's was undertaken to explore how e-coupon attribute, perceived risk affect the intention to continuously use online coupons through mediation of online coupon user satisfaction. Four variables were used as E-coupon attribute variables(economy, amusement, reliability, usefulness) with coupon type and gender being used as moderating variables. The analysis results of relationship between e-coupon attributes, perceived risk and online coupon user satisfaction indicated that amusement, usefulness significantly affected online coupon user satisfaction, and this, in turn, significantly affected the intention to continuously use online coupons. In addition, the test of difference between groups in coupon type and gender, two moderating variables used in this study, found that with respect to coupon type, a moderating effect existed in reliability, usefulness whereas for gender, a moderating effect existed in only reliability. It is considered that this study will provide a credible evidence basis for Internet shopping malls in establishing a coupon promotion strategy including a specific promotional mix best suited to their needs and resources, while implicating that offering highly reliable online coupons will contribute to enhancing satisfaction level among customers using online coupons.

• Korean Journal of Community Nutrition
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• v.13 no.5
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• pp.693-700
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• 2008

The purposes this study were to a) analyze the revisiting ratio of resting customers after issuing online coupons, b) compare the characteristics of coupon redemption customers with non-redemption customers. For this study, the customers of M restaurant who did not revisit during the last 8 months were classified as 'resting customers', totaling 4,052 customers. The online coupons, valid for 9 months, were sent via e-mail to those customers. After that, the data collected from those who redeemed the coupon in September 2006 was utilized. As a result of sending the coupon to 4,052 resting customers, 1,288 customers redeemed the coupon during the study period, showing relatively high redemption ratio (31.6%). The average check of customers with the online coupon was decreased by 22% compared with customers without the coupon, but the party size remained almost the same, 2.6 customers, and also the redemption ratio was increasing as the expiration date of the coupon was approaching. The redemption ratio of female (35.3%) was much higher than male (19.2%), representing higher redemption possibility of the female customers by issuing the coupon. The redemption ratio of the twenties (69.1%) was obviously higher than other age groups. Also, the non-redemption ratio of other groups except the twenties was higher than the redemption ratio. The redemption ratio of low-educated was higher, under college degree (58.6%), college degree (35.4%), and over college degree (16.6%). Following the result of the average visiting frequency of redemption customers during last the 8 months was 4.2, the frequency of non-redemption customers was 9.8. The total average visiting of non-redemption customer was 10.5, and that of redemption customers was 8.6. Customers who visited the restaurant less frequently in the past have higher possibility to revisit after receiving the coupon.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.221-227
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• 2021

In this paper, we tried to explore factors influencing the diffusion of online events through SNS by analyzing the online footprint of consumers. To this end, log data of online events conducted by "C" beer brands were collected and analyzed. The analysis unit of log data was set for each one hour, and the analyzing method used descriptive and regression analysis. Results are as follows. First, factors influencing the diffusion of the view of SNS-based online events were like, friend used coupon, and friend size. In particular, the size of friends had the greatest impact on the diffusion, which again suggests the importance of social hubs in online events. Second, factors influencing the diffusion of the number of inflows were also like, friend used coupon, and size of friends. Third, it was found that the number of reply did not affect the diffusion of views and inflows. This study is meaningful that it suggested an alternative plan to increase the effect of online events by using real data.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.1-19
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• 2010

In offline environment, unlike traditional advertising model through TV, newspaper, and radio, online advertising model draws instantaneous responses from potential consumers and it is convenient to assess. This kind of characteristics of Internet advertising model has driven the growth of advertising model among various Internet business models. There are, conventionally classified, CPM (Cost Per Mile), CPC (Cost Per Click), and CPS (Cost Per Sales) models as Internet advertising expenditure model. These can be examined in manners regarding risks that stakeholders should stand and degree of responsibility. CPM model that is based on number of advertisement exposure is mechanically exposed to users but not actually recognized by users resulting in risk of wasted expenditure by advertisers without any advertising effect. While on aspect of media, CPS model that is based on conversion action is the most risky model because of the conversion action such as product purchase is determined by capability of advertisers not that of media. In this regard, while there are issue of CPM and CPS models disadvantageously affecting only one side of Internet advertising business model value network, CPC model has been evaluated as reasonable both to advertisers and media, and occupied the largest segment of Internet advertising market. However, CPC model also can cause fraudulent behavior such as click fraud because of the competition or dishonest amount of advertising expenditure. On the user aspect, unintentionally accessed advertisements can lead to more inappropriate expenditure from advertisers. In this paper, we suggest "CPCD"(Cost Per Coupon Download) model. This goes beyond simple clicking of advertisements and advertising expenditure is exerted when users download a coupon from advertisers, which is a concept in between CPC and CPS models. To achieve the purpose, we describe the scenario of advertiser perspective, processes, participants and their benefits of CPCD model. Especially, we suggest the new value in online coupon; "possibility of storage" and "complement for delivery to the target group". We also analyze the working condition for advertiser by a comparison of CPC and CPCD models through advertising expenditure simulation. The result of simulation implies that the CPCD model suits more properly to advertisers with medium-low price products rather than that of high priced goods. This denotes that since most of advertisers in CPC model are dealing with medium-low priced products, the result is very interesting. At last, we contemplate applicability of CPCD model in ubiquitous environment.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.710-716
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• 2016

Business is changing to Omni channel services for connecting customer and commerce enterprise anytime and anywhere continuously through the growth of IoT technology. This paper proposes a Mobile Service Architecture, which can provide an Omni channel, for activating O2O(Online to Offline) business to induce customers to visit offline stores through online services. A proposed Mobile Service Architecture proposes a Dynamic Architecture that can provide the specialized service using a Customization service when the service is provided to customers. The proposed Dynamic Mobile Service Architecture consists of a beacon sensor and customization framework. In the case study, the suitability of the Dynamic Mobile Service Architecture was verified by providing a dynamic coupon and advertisement service.

• The Korean Journal of Food And Nutrition
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• v.28 no.3
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• pp.358-368
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• 2015

The study is focused on analyzing the SNS using characteristics of the people surveyed, as for the SNS acceptance channel of the food service corporations, accounted voluntarily for 71%. The SNS food service information regarding information of menu, location of store, price, coupon, taste evaluation, event, promotion, reservation and store atmosphere was researched. The most preferred information sharing for SNS food service were researched and found Facebook, blog and others in increasing order. The most preferred media to obtain SNS food service information were smart phone, desktop computer and others. The result of verifying differences in the perceived ease of use were also evaluated according to the food service corporation of SNS using characteristics of the people and was found: the longer period of SNS use, longer was access time: more number of visiting times, higher perceived ease of use. As for the difference in the perceived service value: longer the period of SNS use, more preferred was the blog: the more number of visiting times, the higher perceived service value. As for the difference in the online mouth-to-mouth intention: longer the period of SNS use, longer was access time: the more number of visiting times, the higher online mouth-to-mouth intention. Therefore, these research results provide useful implications in the working-level aspects such as providing basic data and the academic approach of the study, when the food service corporations establish marketing strategies through SNS.

• Journal of Korea Multimedia Society
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• v.12 no.7
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• pp.953-961
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• 2009

The usage of DRM-applied digital contents reduces user's convenience, thus it leads the many users to avoid using DRM-applied digital contents. In this paper, therefore, we propose the new distribution model in which the users, who purchase the DRM-applied digital contents, can resale freely those contents to the other users. As a result, the proposed model induces the users to distribute contents soundly by including them in one of distribution objects. For the purpose of this, in this paper, we propose that a packaged content and usage rights are transferred to another user by using a method which based on some existing digital ticket or coupon. In addition, the security of the proposed system is discussed for the double transfer, the forgery and the modification of usage rights, and the reproduction of contents and usage rights.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.1-5
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• 2016

The all-in-one service, for example, mobile wallet enables users to have credit card, membership card, and coupon in one place. It has been one of important o2o services with offline payment. In order to take advantage of mobile commerce, it is necessary to authenticate clients automatically without entering their passwords. This paper proposes an automatic client authentication method in all-in-one service. At registration, clients receives and stores an authentication ticket from a company, which contains an user's identifier and password encrypted by company's symmetric key. Client can be authenticated by transferring authentication tickets to companies at service requests.

• Journal of the Korean Society of Food Culture
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• v.34 no.3
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• pp.308-315
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• 2019

This study examined the service quality attributes of the CVS (Convenient Store) packed meal products by applying the Kano model. The main survey was conducted by a research company using an online survey in the form of a self-administered questionnaire. The 499 samples were limited to customers who had experienced CVS packed meal products within the last months. A total of 14 service quality attributes of the CVS premium packed meal products were categorized as four attractive qualities, one must-be quality, three one-dimensional qualities and six indifferent qualities. According to the Better and Worse quotient designed by Timko, 'coupon and sales promotion event', 'healthy menu configuration', and 'balanced nutrition' had higher levels of the Better coefficient. On the other hand, 'hygiene and cleanliness', 'the delicious food', and 'fresh ingredients' showed a higher Worse coefficient. The results also suggest that each service quality attribute is not a single dimension but a complex attribute. As a result, this research suggests that marketing practitioners should immediately identify consumer's changing perception of quality to attract new customers and prevent existing customers from leaving in the CVS premium packed meal products segment.