• The Journal of Information Technology
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• v.5 no.3
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• pp.97-119
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• 2002

It is Study Service Model for Case Study of Internet Bank. With most major full service banks having launched transactional Internet banking, attention is shifting to the realities of managing the Internet channel as a profitable component of an overall delivery strategy. In addition to examining Case Study and Internet Bank Model. Services of Internet Banking available through the Internet are as follows. 1. credit card loans, personal loans. 2. high-yield financial products. 3. insurance products. 4. securities products. 5. Case study of Foreign Internet Banking(ING, BNP, HSNC, City Bank). The study reviewed fields, including financial services, customer service, Website formation and design, convenience of use and system safety, Internet Banking Model, and many related areas. Internet Banking earned high marks in most fields. This Study review focuses on the following: Understanding and meeting consumer expectations for us ability, site performance and functionality. Integrating the Internet channel into overall marketing, product delivery and customer service strategies. Strategies to increase customer satisfaction with Internet Banking and to attract new Internet bankers. therefore this study review activity model concretion of Internet Banking Model and Case Study.

• Journal of Digital Contents Society
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• v.10 no.3
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• pp.433-439
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• 2009

With the help of fast growing popularization of internet, all areas of e-Health have expanded rapidly; such that people have become interested in digital personal health record and its management. This paper examined the characteristics of personal health record and made the analysis of the structure of Google Health, the internet-based personal health record system. Google Health allows you to store and manage all of your health information, import medical records from hospitals and pharmacies, share your health records, and explore online health services. This examples represents not only a significant change of current medical systems but also enables to estimate the future stream of it. As a result, this paper, in the areas of e-Health which will be expanded in various service areas, may give you a greater sense of importance of personal health record and will eventually provide more complemental structure of future personal health record through comparative studies on the strength and weakness of it.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.188-202
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• 2014

This major purpose of this study is to examine factors influencing the attitude toward News Feed advertising in Facebook. For this purpose, this study posited seven determinants including informativeness, entertainment, irritation, trust, individualization, incentive and privacy concern, which can have influences on the attitude toward News Feed Advertising. and this research tests the relationships between these seven determinants and the attitude toward News Feed Advertising. An online survey was administrated to collect data and hierarchical regression analyses were employed for data analysis. The results showed that infortainment as a new combined factor of informativeness and entertainment, trust, individualization have significantly positive influences on the attitude toward News Feed advertising in Facebook. It was also shown that the moderating effect of involvement on the relationship between irritation and the attitude. The results in this study implied that it is needed to reinforce the attributes of advertising including infortainment, trust and individualization to boost the effects of News Feed advertising in Facebook on consumers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.2
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• pp.443-449
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• 2017

Opened platform is called that anybody can be a producer and consumer in some platform. And many opened platforms are using in various area such as general goods, smart phone application and contents. In this paper, we will propose the opened platform system for the problems for evaluation the level of learners. Any user can register problems as public or private-type in this system and use them. So our proposed system has the advantage in selecting the high quality problems by continuous reviews about that even after they have been registered. Proposed system has three different modules such as submit, evaluate and produce problems modules. A user can submit various kind of problems in the submit module. The evaluation module is a module that allows the user who is not the problem registrant to evaluate the registered problem. The production module can use the registered problems for online and offline evaluation.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.157-168
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• 2021

As a recent global economic trend, the subscription economy is rapidly expanding along with the growth of non-face-to-face online shopping. This study tried to verify the factors influencing online subscription for disposable consumer goods through behavioral reasoning theory. 344 questionnaire responses were collected through a survey in Korea and empirical analysis was performed. As a result of the analysis, value of openness was found to have a positive effect on attitude, reason for adoption and reason against adoption. Reason for adoption showed a positive effect on attitude and adoption intention. Reason against adoption showed a negative effect on attitude but it has no impact on adoption intention. Attitude showed a positive effect on adoption intention. Finally price consciousness and quality barrier was found to the most important factors of reason for adoption and reason against adoption respectively. The results of this study can contribute to subscription companies establishing their marketing strategies. Future research can be conducted with various subscription products and additional variables.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.1
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• pp.1-6
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• 2019

This study visualized users reaction about movies based on keywords with high frequency. For this work, we collected data of movie reviews on . A total of six movies were selected, and we conducted the work of data gathering and preprocessing. Semantic network analysis was used to understand the relationship among keywords. Also, NetDraw, packaged with UCINET, was used for data visualization. In this study, we identified the differences in characteristics of review contents regarding each movie. The implication of this study is that we visualized movie reviews made by sentence as keywords and explored whether it is possible to construct the interface to check users' reaction at a glance. We suggest that further studies use more diverse movie reviews, and the number of reviews for each movie is used in similar quantities for research.

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

• Information Systems Review
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• v.23 no.4
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• pp.87-102
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• 2021

Smart cities are attracting attention as a new economic growth engine based on new technologies and means to solve side effects of urbanization such as a surge in energy consumption, deepening environmental pollution, and an increase in crime rates. In particular, as demand for non-face-to-face services increases due to COVID-19, the role of smart cities that can provide various online and offline non-face-to-face services is becoming more important. Therefore, this study defined smart city non-face-to-face services based on literature research on the concept and underlying technology of smart city, and analyzed consumer utility for each service using Conjoint analysis. In particular, differences in user preferences between Sejong City and Busan City, which are currently designated as national smart city pilot cities in Korea, were compared and analyzed, and based on the derived results, measures to improve the competitiveness of smart city services were suggested.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.55-66
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• 2024

The purpose of this study was to identify the experience factors (4Es) of live commerce that provide differentiated value for consumers based on Pine & Gilmore's experience economy and analyze the relationships between experience factors, flow, attitude, and purchase intention. This study conducted an online survey to collect live commerce user responses and employed a path analysis to test the research hypotheses, using Smart PLS 4.0. The results of the study were as follows: 1) all experience factors had significant effects on flow, 2) both entertainment experience and educational experience had significant effects on attitude, while esthetic experience and escapist experience did not have significant effects on attitude, 3) flow had a significant effect on attitude and purchase intention respectively, and 4) attitude had a significant effect on purchase intention. The findings of the study are expected to provide the implications for further research and marketing strategies grounded on the understanding of the experience factors in live commerce.

• Information Systems Review
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• v.16 no.3
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• pp.49-68
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• 2014

These days, consumers have increasingly preferred to digital real-time streamlining and downloading to listen to music because this is convenient and affordable for the consumers. Accordingly, sales of music in compact disk formats have steadily declined. In this regards, online digital music has become a new communication channel to listen musics, where digital files can be delivered over various online networks to people's computing devices. The majority of online digital music distributors has Music Recommender Systems for sales of digital music on their websites. Music Recommender Systems are parts of information filtering systems that provide the ratings or preferences that users give to music. Korean online digital music distributors have Music Recommender Systems. But those online music distributors didn't provide any rules or clear procedures that recommend music. Therefore, we raise important questions as follows: "Is Music Recommender Systems Fair?", "What is the impact of Music Recommender Systems on online music rankings and sales?" While previous studies have focused on usefulness of Music Recommender Systems, this study investigates not only fairness of Current Music Recommender Systems but also Relationship between Music Recommender Systems and online Music Charts. This study examines these issues based on Bandwagon effect, ranking effect, Slot effect theories. For our empirical analysis, we selected the most famous five online digital music distributors in terms of market shares. We found that all recommended music is exposed to the top of 'daily music charts' in online digital music distributors' websites. We collected music ranking data and recommended music data from 'daily music chart' during a one month. The result shows that online music recommender systems are not fair, since they mainly recommend particular music that supported by a specific music production company. In addition, the recommended music are always exposed to the top of music ranking charts. We also find that recommended music usually appear at the top 20 ranking charts within one or two days. Also, the most music in the top 50 or 100 ranks are the recommended music. Moreover, recommended music usually remain the ranking charts more than one month while non-recommended music often disappear at the ranking charts within two week. Our study provides an important implication to online music industry. Because music recommender systems and music ranking charts are closely related, music distributors may improperly use their recommender systems to boost the sales of music that related to their own companies. Therefore, online digital music distributor must clearly announce the rules and procedures about music recommender systems for the better music industry.