• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.379-390
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• 2005

In this paper, we introduce a new combinatorial auction mechanism - N-Bilateral Optimized Combinatorial Auction (N-BOCA). N-BOCA is a flexible iterative combinatorial auction model that offers optimized trading for multi-suppliers and multi-purchasers in the supply chain. We design the N-BOCA system from the perspectives of architecture, protocol, and trading strategy. Under the given N-BOCA architecture and protocol, auctioneers and bidders have diverse decision strategies for winner determination. This needs flexible modeling environments. Hence, we propose an optimization modeling agent for bid and auctioneer selection. The agent has the capability to automatic model formulation for Integer Programming modeling. Finally, we show the viability of N-BOCA through prototype and experiments. The results say both higher allocation efficiency and effectiveness compared with I-to-N general combinatorial auction mechanisms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.728-732
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• 2004

It is evaluated that there is infinit capability of creating new e business using P2P program. but the research for the method to protect the copyright of digital contents is urgent even for development of the p2p service because the problem of copyright protection for digital contents is not solved. In this article, we designed the P2P system which cm give the function of security with technology for copyright management which is made with AES algorism based on PKI when users send digital contants to each other in internet.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.131-149
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• 2008

Bandwidth Trading(BT) represents a potential market with over 1 trillion USD across the world and high growth potential. BT is also likely to accelerate globalization of the telecommunications industry and massive restructuring driven by unbundling rush. However, systematic researches on BT remain at an infant stage. This study starts with structure analysis of the Internet industry, and discusses significance of Internet interconnection with respect to BT Issues. We also describe the bandwidth commoditization trends and review technical requirements for effective Internet interconnection with BT capability. Taking a step further, this study explores the possibility of improving efficiency of network providers and increasing user convenience by developing an architectural prototype of Hub-&-Spoke interconnection model required to facilitate BT. The BT market provides an Innovative base to ease rigidity of two-party contract and Increase service efficiency. However, as fair, efficient operation by third party is required, this research finally proposes an exchanging hub named NIBX(New Internet Business eXchange).

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.65-85
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• 2002

In order to achieve competitive business goals, every enterprise needs to evaluate the current level of IS(information systems) performance and their utilization. The evaluation is to measure technical capacity and operational capability of enterprise information systems and to diagnose their effectiveness of business goals and efficiency of resources. Furthermore, organizations need to apply information technology(IT) proactively instead of reactively. However. it is usually very difficult for an enterprise to accumulate knowledge acquired during construction of the information systems and apply it to maintain and evaluate them. Also. most researches regarding evaluation are limited in some parts of evaluation fields, the most prominent being lack of the entire views and integrated relationships of enterprise activities. This dissertation develops an integrated evaluation system, which is based on the continuous improvement model of information systems performance. that effectively measures the level of enterprise information systems performance. enabling enterprises to achieve their goals of information systems and related business strategies. The contents of this work are composed of the continuous improvement model of information systems performance, an integrated evaluation system for IS performance and case study.

• Journal of Korea Trade
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• v.23 no.7
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• pp.156-172
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• 2019

Purpose - Without question, globalization has presented different opportunities to entrepreneurs seeking to expand their companies in foreign markets. The aim of this study is to examine the relationship between entrepreneurial orientation, entrepreneurial activity, information internalization, and product differentiation in export oriented firms. As such, entrepreneurial activities are divided into exploitative and exploratory opportunities. These opportunities are crucial in improving firms' performance. Design/methodology - A structural questionnaire was developed using 21 factors/indicators from previous researches. The subjects of this study were recruited using convenience sampling in export SMEs in the Seoul Metropolitan Area. Data were collected through visits or e-mails from the export managers, executives, and CEOs of export SMEs in advance. 321 questionnaires were collected over a period of one month. 316 questionnaires were used in the final analysis. Findings - First, International Entrepreneurial-orientation (IE) has a positive effect on the exploration and exploitation of business opportunities. Second, the exploration and exploitation of business opportunities have a positive impact on information internalization. Third, information internalization has a significant effect on product differentiation and plays a mediating role in seeking opportunities, utilizing opportunities, and differentiating products. Originality/value - This study contributes to the development of academic discussions by explaining existing research gaps. First, there is currently a lack of research focusing precisely on the product differentiation capability of SMEs in manufacturing field in terms of IE. To bridge these gaps, we examined the entrepreneurial factors impact on product differentiation and tries to expand the discussion about the internationalization of SMEs, which were mainly focused on IT companies, and manufacturing companies. Second, there is no intuitive explanation regarding international entrepreneurial activity in terms of exploration and exploitation within existing. In this study, international entrepreneurship activities were classified in terms of exploration and exploitation.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.3
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• pp.139-155
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• 2012

Rapid changes in information technologies are forcing dramatic shifts in how business are conducted in various industry sectors. This pace of change is increasing all around the world. Accordingly, there is a need for the libraries to provide the information services with agility, which emphasizes on the prompt reaction to the changes, which are almost impossible to predict. Especially, the digital libraries higher education institutions require more agility as their main mission is providing a wide range of cutting edge information for the research and education activities. In this study, the notion of 'agility' is examined then the relationship between the digital library's e-service measure evaluation factors and the capability, which is defined as agility, is explored. In addition, the impact of agility in user satisfaction is analyzed. Based on these analyses, the factors to consider in managing digital libraries in higher education institution, are suggested.

• The Journal of Society for e-Business Studies
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• v.14 no.2
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• pp.95-116
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• 2009

Ontologies have provided supports in integrating heterogeneous and distributed information. More and more ontologies and tools have been developed in various domains. However, building ontologies requires much time and effort. Therefore, ontologies need to be shared and reused among users. Specifically, finding the desired ontology from an ontology repository will benefit users. In the past, most of the studies on retrieving and ranking ontologies have mainly focused on lexical level supports. In those cases, it is impossible to find an ontology that includes concepts that users want to use at the semantic level. Most ontology libraries and ontology search engines have not provided semantic matching capability. Retrieving an ontology that users want to use requires a new ontology selection and ranking mechanism based on semantic similarity matching. We propose an ontology selection and ranking model consisting of selection criteria and metrics which are enhanced in semantic matching capabilities. The model we propose presents two novel features different from the previous research models. First, it enhances the ontology selection and ranking method practically and effectively by enabling semantic matching of taxonomy or relational linkage between concepts. Second, it identifies what measures should be used to rank ontologies in the given context and what weight should be assigned to each selection measure.

• The Journal of Society for e-Business Studies
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• v.13 no.2
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• pp.117-147
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• 2008

Developing various ubiquitous computing services (U-services) is being propelled throughout the industry. As U-services are being penetrated into our daily life, research on the factors influencing the acceptance of U-services is highly needed. In this line of study, we examined previous literatures about information technology acceptance and UTAUT model, and applied UTAUT model to U-service acceptance. To characterize the U-services into our research model, we newly introduced 'context based personalization' factor. Since the respondents could not directly experience the U-services yet, we adopted scenario-based questionnaire. For this, we deliberately developed U-service scenario. And then this U-service scenario is verified using capability-based assessment method. Using data collected from 251 respondents, this study found that 'context based personalization' factor was positively and significantly related to the acceptance of U-service as well as UTAUT model's 4 factors such as performance expectancy, effort expectancy, social influence and facilitating conditions.

• The Journal of Society for e-Business Studies
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• v.10 no.4
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• pp.83-100
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• 2005

In this paper, we investigate the concept of cyber identity built in cyberspace and analyze the effects of general perception toward cyber identity on loyalty and purchase intent. Cyber identity is classified into two types: personal and social cyber identity, and has five components. Avatars and online gaming capability make up personal cyber identity while online communities and instant messenger count as social cyber identity. We regard blog personalities as having both personal and social characteristics. In our survey, we conclude that internet users want to purchase cyber items such as avatars, online game items, and wallpaper pictures to enhance their cyber identities. Based on the survey results , we derive five factors comprising personal cyber identity and social cyber identity using factor analysis and analyze overall effects of cyber identity on loyalty and purchase intention using Structural Equation Model.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.287-308
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• 2023

After launching its service in November 2022, ChatGPT has rapidly increased the number of users and is having a significant impact on all aspects of society, bringing a major turning point in the history of artificial intelligence. In particular, the inference ability of large language models such as ChatGPT is improving at a rapid pace through prompt engineering techniques. This reasoning ability can be considered as an important factor for companies that want to adopt artificial intelligence into their workflows or for individuals looking to utilize it. In this paper, we begin with an understanding of in-context learning that enables inference in large language models, explain the concept of prompt engineering, inference with in-context learning, and benchmark data. Moreover, we investigate the prompt engineering techniques that have rapidly improved the inference performance of large language models, and the relationship between the techniques.