• The Journal of Information Systems
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• v.11 no.1
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• pp.75-103
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• 2002

현대사회는 전통적인 경제체제에서 디지털 경제체제로의 급속한 이전과 더불어 정보기술이 국가발전의 주요 원동력으로 등장하게 되었다. 특히, e-정부의 출현은 기존의 정부서비스에 대한 시공간적 제약을 극복하는 새로운 패러다임으로 간주되고 있다. 본 연구는 e-정부 실현을 위한 대표적인 사례로 KICIT을 중심으로 정보기술의 활용사례와 더불어 EC-Bank를 중심으로 한 지방정부의 사이버 마케팅에 대한 사례연구를 통해 e-정부의 조기 실현을 위한 산업부문의 e-비즈니스화에 대한 하나의 대안으로 소개하였다. e-구미의 모형은 행정, 생활, 산업 차원에서의 네트워크화, 균형과 조화, 부문간의 연계로 시행정의 디지털화, 사이버 정보생활의 실현 및 산업의 e-비즈니스화의 실현을 중심으로 제시하였다. 본 연구에서 KICIT은 중소도시에 집중되어 있는 지역정보센터의 산학관 협력의 모델케이스로 효율적으로 운영되고 있음을 확인할 수 있었다. 이제는 구미지역 기업체와 연구교육기관에서 핵심적인 지원기관으로 지역관련기관과의 보다 유기적인 협력을 계속 유지. 발전해 나가야 할 것이다. 지자체의 사이버 마케팅 사례인 EC-Bank는 정보서비스를 단순히 제공하는 수준인 전자상거래의 초기단계로 사이트 및 콘텐츠 관리의 소홀로 인하여 초기의 목적을 거의 이루지 못한 실정이다. 앞으로 산학관의 친밀한 협력과 e-프로세스의 대혁신을 통해서 새로운 업무활용, 웹기반의 거래처리 및 e-비즈니스 모형의 창출을 위해 계속적으로 노력해야할 것이다.

• International Commerce and Information Review
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• v.17 no.2
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• pp.41-65
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• 2015

Online firms collect consumers' private information, which serves as a valuable database for marketing activities. In order to encourage consumers to provide their private information, online firms offer high quality websites for consumers who provide private information. However, identity theft, phishing, and pharming, become critical social issues, consumers started to avoid providing their private information to online firms. Thus, consumers often provide false or limited information, which lacks value for practical use for the online firms. The main issue raised in this study is to discuss how online marketing activities has influence on consumers attitude and information providing behavior. From the result, this paper found that websites reputation had greatest impact on willingness of providing information. Also this study revealed that unauthorized use is the key factor for increasing distrust and avoidance of providing information.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5601-5613
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• 2011

The purpose of this paper is to better understand the socio-economic differentials of Internet access and use. Data from '2008 Korean Internet usage behavior' were used to conduct logistic regression analysis. The findings show that there are significant socio-economic(age, gender, educational attainment, employment situation, and Internet access type) disparity in Internet access(Internet access at home, broadband Internet access). Also socio-economic variables enter in as statistically significant in most specifications for Internet use intensity (Intensive internet use, frequent internet use, less frequent internet use). The gender, household income and education attainment explanations for large differential in Internet use intensity are generally very similar. It is shown that age, education attainment and household income level cause a large digital divide on Internet service use(information use, communication and community use, e-commerce use, Internet banking use).

• Annual Conference of KIPS
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• 2001.10b
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• pp.997-1000
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• 2001

최근 주목할만한 인터넷 보안기술 중 공개키 암호화 시스템을 이용해 향상된 보안수준을 제공하기 위한 기반 기술인 PKI(Public Key Infrastructure)는 각종 전자상거래 제반기술로 작용한다는 점에서 중요성이 부각되고 있다. 이와 더불어 최근 차세대 웹 표준문서 포맷으로 부상되고 있는 XML(extensible Markup Language)은 B2B 문서교환과 데이터 전송 및 검색 부문에서 광범위하게 활용됨으로써, XML문서에 대한 보안 및 XML을 활용한 PKI 기술적용을 위한 표준화 작업 또한 활발히 연구되고 있다. 그 결과 Microsoft, Verisign 그리고 Webmethods가 주축이 되어 XML기반 파세대 PKI기술인 XKMS(Xml Key Management Specification)를 개발하였으며, XKMS 표준화 작업에 그 외 다수의 주력업체들이 참여하고 있다. 이에 본 논문에서는 XKMS의 표준화를 진행중인 표준화 단체의 동향을 파악하고, PKI의 전반적인 기술 및 XKMS 기술의 내부적인 구조를 분석한다.

• Asia-Pacific Journal of Business
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• v.2 no.1
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• pp.91-114
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• 2011

The market size of e-Commerce in Japan was 15 trillion Yen in 2006, and B2C Internet shopping sales were over 6.57 trillion in 2009. Lakuten is a representative Internet shopping company whose market share is 45%. Lakuten has over 70,000 online stores and Japanese shoppers trust them based on the fair competition rule and pre-control system on e-commerce. Japanese consumers accept new technology rapidly and highly use Internet and mobile channel. This research analyse online shopping behaviors of Japan, a big e-commerce market. Internet shopping intention, satisfaction, and recommendation by Internet shopping motivations, perceived risks, shopping innovativeness were analyzed. A questionnaire survey of 464 Japanese consumer was performed and ANOVA, factor analysis, reliability test have done by SPSS 12.0. As the results, Internet shopping intentions were higher in groups of olders, higher innovativeness. House wives' satisfaction of Internet shopping is highest. High innovativeness group showed higher internet shopping motivation of economics, connivence, hedonic, and social. Student, women, and low income group perceives high risks to Internet shopping. Implications and further researches were suggested based on the results.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.81-90
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• 2011

Companies using internet as a kind of marketing means are increasing rapidly according to the expansion trend of e-commerce through internet and consumers also use internet as the common means of purchasing necessary articles. E-commerce using internet has advantages without limitation to temporal and spatial accessibility and general consumers and unspecified individuals also use internet to purchase their goods as well as general transactions such as advertisement, contract, payment and claim settlement. 'In the age of information, invasion of personal information resulted from the development of information and communication technology is one of the greatest problems all the countries in the world face. Therefore, Personal information protection Act is one of basic laws to protect personal information and rights and it is also an essential law in the age of information. In that sense, new Personal information protection Act is the advanced act containing various items to minimize the national damages from the leaking of private information and protect right to informational self-determination in the information society. It is expected that this legislation contributes to reduce the leaking of private information, enhance the level of privacy protection and develop privacy related industries. However, active participation of all members of our society and improvement of their recognition should be preceded for the rational and legal use of private information and the settlement of its protection culture. While the purpose of Personal information protection Act can protect privacy from collection, leaking, misuse and abuse of private information and enhance national interests and protect personal dignity and value, it also must perform the roles of balancing privacy protection with liberal information flow.

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.173-191
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• 2008

As volumes of electronic commerce increase rapidly, customers are faced with information overload, and it becomes difficult for them to find necessary information and select what they need. In this situation, recommender systems can help the customers search and select the products and services they need more conveniently. These days, the recommender systems play important roles in customer relationship management. In this research, we develop a recommender system that recommends the books to the customers of Internet bookstore. In previous researches on recommender systems, collaborative filtering technique has been often employed. For the collaborative filtering technique to be used, the rating scores on books given by previous purchasers have to be collected. However, the collection of rating scores is not an easy task in reality. Therefore, in this research, we employed case-based reasoning technique that can work only with the book purchase history of customers. The accuracy of recommendation of the resulting book recommender system was about 40% on the level 3 classification code.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.981-997
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• 2020

Blockchain technology can provide a high level security based on a decentralized distributed ledger and consensus-based structure. In order to increase the utilization of blockchain technology, it is necessary to find a way to use it in fields that require personal data processing such as health care and e-commerce. To achieve this goal, the blockchain based system should be able to comply with data privacy regulations represented by European Union(EU)'s GDPR(General Data Protection Regulation). However, because of the properties of the blockchain like the immutability and decentralized recorded data, it is difficult to technically implement the requirements of the existing privacy regulations on the blockchain. In this paper, we propose a multi-chain based access control system that can guarantee the rights of the personal data subject required by GDPR by utilizing Chameleon Hash and Attribute Based Encryption (ABE). Finally, we will show through security analysis that our system can handle personal data while maintaining confidentiality and integrity.

• The Journal of Bigdata
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• v.7 no.1
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• pp.213-224
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• 2022

In logistics and distribution, Market Basket Analysis (MBA) is used as an important means to analyze the correlation between major sales products and to increase internal operational efficiency. In particular, the results of market basket analysis are used as important reference data for decision-making processes such as product purchase prediction, product recommendation, and product display structure in stores. With the recent development of e-commerce, the number of items handled by a single distribution and logistics company has rapidly increased, And the existing analytical methods such as Apriori and FP-Growth have slowed down due to the exponential increase in the amount of calculation and applied to actual business. There is a limit to examining important association rules to overcome this limitation, In this study, at the Main-Category level, which is the highest classification system of products, the utility item set mining technique that can consider the sales volume of products together was used to first select a group of products mainly sold together. Then, at the sub-category level, the types of products sold together were identified using FP-Growth. By using this sequential layer filtering technique, it may be possible to reduce the unnecessary calculations and to find practically usable rules for enhancing the effectiveness and profitability.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.1-18
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• 2019

Due to the great advances in e-Marketplace and changes in type of items purchased from the online market, it has been dramatically increased the demand of the storage and transportation under the special conditions such as restricted temperature. Especially, the cold chain needs the way to transparently measure and monitor the entire network in realtime because it has a very complicated structure and requires totally different criteria at the every different steps and items. In this research, it has been presented the performance evaluation metrics to make contract using service level agreement (SLA), the way to apply the smart contract based on blockchain, the structure of blocks, service platform and application in order to build cold chain which can prevent the risk factors by measuring and sharing information in realtime using block chain technology. In addition, we have proposed the way to store the measured performance and reputation of each player in the block using smart contract based on SLA. With the presented framework, all players including service providers as well as users can secure the information for making the rational decisions. When the service platform is actually built and operated, it seems possible to secure the information in transparently and realtime. Also, it is possible to prevent the risk factors or prepare the preemptive plans to react on them.