• The Journal of Information Technology and Database
• /
• v.7 no.2
• /
• pp.87-100
• /
• 2000

The customer loyalty has been decreasing dramatically in e-Business environments such as cyber trading, shopping, banking, and portal services. However, little research has been done so far in order to analysis the newly emerging concept and changing nature of the e-Business customer loyalty. The purpose of this study is to investigate whether the quality of e-Business information systems has any impact on customer loyalty. The quality, which is tee independent construct in this study, is divided into three variables: basic system quality, information contents quality, and service quality. Cyber systems of 40 domestic stock trading firms were chosen as target e-Business information systems Both online survey and traditional field survey were employed in order to collect data, and more than 8,000 cyber customers have responded. The results of statistical analysis show that all of three independent variables have statistically significant effects on customer loyalty and, among three variables, the basic system quality has the strongest impact.

• Journal of Information Processing Systems
• /
• v.8 no.3
• /
• pp.495-520
• /
• 2012

A secure Electronic Payment System (EPS) is essential for the booming online shopping market. A successful EPS supports the transfer of electronic money and sensitive information with security, accuracy, and integrity between the seller and buyer over the Internet. SET, CyberCash, Paypal, and iKP are the most popular Credit Card-Based EPSs (CCBEPSs). Some CCBEPSs only use SSL to provide a secure communication channel. Hence, they only prevent "Man in the Middle" fraud but do not protect the sensitive cardholder information such as the credit card number from being passed onto the merchant, who may be unscrupulous. Other CCBEPSs use complex mechanisms such as cryptography, certificate authorities, etc. to fulfill the security schemes. However, factors such as ease of use for the cardholder and the implementation costs for each party are frequently overlooked. In this paper, we propose a Web service based new payment system, based on ANSI X9.59-2006 with extra features added on top of this standard. X9.59 is an Account Based Digital Signature (ABDS) and consumer-oriented payment system. It utilizes the existing financial network and financial messages to complete the payment process. However, there are a number of limitations in this standard. This research provides a solution to solve the limitations of X9.59 by adding a merchant authentication feature during the payment cycle without any addenda records to be added in the existing financial messages. We have conducted performance testing on the proposed system via a comparison with SET and X9.59 using simulation to analyze their levels of performance and security.

• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.10
• /
• pp.1010-1014
• /
• 2010

Article-related product recommender system is an emerging e-commerce service which recommends items based on association in contexts between items and articles. Current services recommend based on the similarity between tags of articles and items, which is deficient not only due to the high cost in manual tagging but also low accuracies in recommendation. As a component of novel article-related item recommender system, we propose a new method for tagging item images based on pre-defined categories. We suggest a hypernetwork-based algorithm for learning association between images, which is represented by visual words, and categories of products. Learned hypernetwork are used to assign multiple tags to unlabeled item images. We show the ability of our method with a product set of real-world online shopping-mall including 1,251 product images with 10 categories. Experimental results not only show that the proposed method has competitive tagging performance compared with other classifiers but also present that the proposed multi-tagging method based on hypernetworks improves the accuracy of tagging.

• The Journal of Korean Institute of Information Technology
• /
• v.16 no.12
• /
• pp.1-11
• /
• 2018

Recently, the volume of online shopping market continues to be fast-growing, that is important to provide customized service based on customer behavior evaluation analysis. The existing systems only provide analysis data on the profiles and behaviors of the consumers, and there is a limit to the processing in real time due to disk based mining. There are problems of accuracy and system performance problems to apply existing systems to web services that require real-time processing and analysis. Therefore, The system proposed in this paper analyzes the web click log streams generated in real time to calculate the concentration level of specific products and finds interested customers which are likely to purchase the products, and provides and intensive promotions to interested customers. And we verify the efficiency and accuracy of the proposed system.

• Journal of Environmental Science International
• /
• v.30 no.2
• /
• pp.153-159
• /
• 2021

This study aims to suggest the direction of urban regeneration policies of Gangwon-do in accordance with COVID-19 outbreak, and the results are as follows. First, it is inevitable to urgently execute the project from the perspective of cities and counties in Gangwon-do, where the promotion of urban regeneration projects has been delayed due to COVID-19 incident. As a result, it is highly likely to cause the employees overloaded and have negative effect on achieving the goals of urban regeneration, so, it is necessary to provide support measures at the government and provincial level, such as the actual execution index and the adjusting time of start and completion of particular business. Second, as the uncertainty of COVID-19 continues, it needs to strengthen the operation and monitoring of urban regeneration support centers in Gangwon-do and examine the changes in business operation plans in advance. In particular, the decrease in visitors to traditional markets and restaurants is expected to have a direct effect on small business owners engaged in the service industry. Therefore, it is necessary to actively consider the utilization plans of smart city regeneration, such as online shopping and non-contact payment. Third, it is necessary to phase in smart urban regeneration training focused on information weakness to narrow the digital gap, in preparation for general lifestyle changes such as contactless and non-face-to-face interactions. At a time when new light is being shed on local areas, which are quieter than heavily populated cities, a project that reflects the regional characteristics and culture of Gangwon-do is necessary.

• Fashion & Textile Research Journal
• /
• v.23 no.1
• /
• pp.70-83
• /
• 2021

Live-streaming commerce is attracting attention as a noticeable trend in the retail industry. It is a new mobile shopping service platform developed by combining live streaming with e-commerce technologies. This study examined the impact of para-social interactions on consumer impulse buying behavior and investigated the impact through task complexity as well as perceived amount of information. To achieve this goal, 203 women using a mobile commerce participated in an online survey after experiencing beauty live-streaming commerce. The collected data were analyzed using SPSS 25.0, AMOS 23.0, and SPSS PROCESS Macro program. The results of the study revealed that para-social interactions negatively influenced task complexity, positively influenced perceived amounts of information, and positively influenced impulse buying behavior. In addition, impulse buying behavior was negatively influenced by task complexity versus positively that was influenced by perceived amounts of information. The impact of para-social interactions on impulse buying behavior is mediated by task complexity and perceived information. The findings of this study contribute to the theoretical extension of para-social interaction on impulse buying behavior in the context of live-streaming commerce. The implications of the findings suggest practical marketing strategies for digital media commerce retailers.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.1
• /
• pp.177-186
• /
• 2017

Recently, Autonomous vehicles are getting hot attention. Amazon, the biggest online shopping service provider is developing a delivery system that uses drones. This kinds of platforms are need accurate attitude information for navigation. In this paper, a structure design of AHRS using low-cost inertia sensor is proposed. To estimate attitudes a Kalman filter which uses a quaternion based dynamic model, bias-removed measurements from MEMS Gyro, raw measurements from MEMS accelerometer and magnetometer, is designed. To remove bias from MEMS Gyro, an additional Kalman filter which uses raw Gyro measurements and attitude estimates, is designed. The performance of implemented AHRS is compared with high price off-the-shelf 3DM-GX3-25 AHRS from Microstrain. The Gyro bias was estimated within 0.0001[deg/s]. And from the estimated attitude, roll and pitch angle error is smaller than 0.2 and 0.3 degree. Yaw angle error is smaller than 6 degree.

• Journal of the Korean Society of Costume
• /
• v.64 no.1
• /
• pp.136-151
• /
• 2014

This study systematically analyzed types of fashion brand application focusing on accounts created in Korea. While referring to 'Chanel' which has developed a fashion brand app for the first time in August of 2008, not only for App store by Apple Inc. of the greatest market share but also for Android market, the one and only competitor of App store, the study examined cases of fashion brand app in Korea and foreign countries which have been in service till August of 2013 since the year of 2008. To achieve the research goal, the study conducted a literature research and a case review, categorizing the app by their distinctive functions which were Basic Information, SNS, AR, LBS, Entertainment, Mobile Shopping and Live Streaming. As for the first function, Basic Information, it was considered to provide information on a brand such as prices, sizes and colors of products which should be the most fundamental function of a fashion brand. The function would include look book, catalogues, photographs and others of products, helping users of the app with their understanding on images and concepts of the brand. Second, SNS function was considered useful for its mobility and communication and with the help of theirs, the users share fashion information with each other. Third, AR function as in a filed of virtual reality would edit virtual objects to look real in an actual environment. This would eventually offer the users a chance to try for clothes virtually. The fourth function, LBS, would work with GPS to find a store closest from a present location. This would be a help when the users try to find stores holding promotion events or trails while hiking in mountains. The fifth Entertainment function would include all sorts of games and chances for the users to listen to music and keep fashion diaries. The sixth function, Mobile Shopping, would help the users purchase items online via the app as they would not visit a store in person. The seventh function, Live Streaming, would give the users chances to actually see fashion collections in real time, held all over the world in every season. Because of this function, not only fashion experts but also regular people have become able to enjoy the fashion shows. The distinctive characteristics of the fashion brand application discussed in the study will be a useful reference when any relevant fields try to design other new fashion brand application.

• Culinary science and hospitality research
• /
• v.18 no.1
• /
• pp.156-167
• /
• 2012

The purpose of this study is to examine the structural elements of HMR in Korea foods and explore the way HMR products using Korean foods can be developed at this time of increased interest. Through an investigation of its importance by attributes and their partial values, hypothetical HMR products using Korean foods were estimated. In order to develop the optimal HMR goods of Korean food, a preference survey was conducted after selecting 9 profiles using conjoint analysis with orthogonal design, and 4 holdout sets were generated and used for cross-validity authorization and reliability of the model. The results of this study showed that customers put cooking levels, menu price, and the location of purchase into importance when selecting HMR products of Korean foods. They preferred to eat the products after sufficiently heating them and buy the products sold online and through home shopping programs, with the price range of 10,000 won and over. It was concluded that more customers can be attracted if a variety of HMR products using Korean foods which can be prepared readily anywhere and at any time are developed.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.3
• /
• pp.147-153
• /
• 2017

The main subject of year 2016 Davos forum was "The 4th Industrial Revolution." Recently, interests and investment in drone market, so called industrial revolution in the sky is growing in many countries around the world. Before, drone was used for military purpose such as reconnaissance or attacking but today, it is used in various private sectors such as unmanned delivery service, agriculture, leisure activities, etc. Presently, many major countries in the world are already involved in the 'war without gunfire' to be dominant in this drone industry. Korean government also has announced an extreme relaxation of regulations for growing drone industry by opening a conference with Ministers related to economics. During the conference, business scope of drone which was limited to agriculture, photographing, and observation was expanded to all the fields except for cases hindering national safety and security. In terms of shooting purpose drone its process of receiving approval for flight and shooting is simplified to online registration. What is more, drone delivery service will be allowed in island areas such as Goheung, Yeongwol, etc from first term of year 2017. Finding the way to apply drone in criminal investigation is also speeding up. Recently, Public Safety Policy Research Center in Korean National Police University has inquired for research service and its result will be out around November. Likewise, although more and stronger foundation for supporting drone industry is made but there are still, some opinions saying that we should take a careful approach in consideration to the side effect such as abuse in crime. One may also try terror by placing a dangerous substance. If drone falls, it may hurt any civilians. Moreover, if shopping purpose drone is hacked, it may result in violation of privacy. Compared to America, Europe, and China, we are at the very beginning stage of drone industry and it is necessary to reorganize legal issues to grow this industry. This can be thought from two perspectives; first, the growth of drone industry is blocked by difficult regulations on Aviation Law and Radio Regulation Law. The second issue is the safety and privacy that are required for operating drone. For the advanced technologies to make human life more profitable, more active and proactive actions are required by criminal law side. In preparation to the second mechanical era where man and machines should go together, I hope that responsible preparation is required in all fields including the criminal law.