• Journal of Information Management
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• v.24 no.4
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• pp.43-57
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• 1993

This paper discusses the basic concept of artificial intelligence(AI) and expert system and a particular technique(fuzzy logic) applied to expert systems. It examines expert system as search intermediaries during the past few years, particularly in terms of the following functions: 1) handling certain classes of questions on a particular database, 2) assisting in decision making for selecting databases or search terms, and 3) offering advice while keeping the end-user in the control of the searching process. The limitations and difficulties involved in developing such expert systems are also presented.

• Journal of the Korea Convergence Society
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• v.5 no.4
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• pp.129-136
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• 2014

Although the concern about various welfare resources in the private sector is increasing, it has been less discussed on product donation in comparison with cash donation. This study is to explore effective product donation system by understanding the intermediary process experience of product philanthropy between corporations and non-profit organizations. In order to understand such process in details, data was collected by conducting interview in-depth with 4 corporate staff and 2 NPOs staff in charge for product donation. Based on the findings of study, suggestions are discussed for effective intermediary systems of product donation including the use of new technology such as the on-line system of Good 360(formerly Gift In Kind International) and for improving the partnership between corporations and NPOs to activate product philanthropy. Also, these show that it is necessary to reinforce institutional support on tax-incentive and fair market value of giving product.

• Journal of the Korean Regional Science Association
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• v.31 no.2
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• pp.3-28
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• 2015

While industrial ecology theories and policy approaches have been considerably influential in regional economy, the dynamism and limitations of regional venture ecosystem are less clearly examined. In particular, the activities of strategic network brokerage require further research in relation to its internal and external interactions and collaborative mechanisms. Based on the analysis results of conditions of Daegu Gyeongbuk regional venture firms, this article examines the necessities of strategic network brokerage in regional venture ecosystem in the dimensions of network conditions as the intrinsic limitations, of innovation direction method outcome as the extrinsic trends, and of the related regional demands. In particular, this article tries to explore the roles and activity scopes of strategic network brokerage to contribute for making up for the weakness of diverse network infrastructures of regional venture ecosystem, for dealing with the mismatch for the extrinsic change trends of industrial technologies, and for fulfilling the strengthening trends of intrinsic capacities.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.151-156
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• 2016

The purpose of this study is to find out key factors(specialized knowledge, manner, interaction) of real estate brokerage service quality derived from previous researches and to identify degrees of relations among the key factors and request intention. To do this, first of all, this study makes surveys including variables of estate brokerage service quality, credibility, and request intention. Second, it collects the data from respondents who have visited real estate brokerage firms. Finally, the data are analyzed by applying an exploratory factor analysis and a confirmatory factor analysis which is based on a structural equation modeling. The result of these surveys describes that only the interaction affects the credibility positively and the credibility has positive effects on the request intention. At the same time, the interaction impacts on the request intention directly. Therefore, these analysis results suggest that managers of real estate brokerage firm focus on the interaction of the real estate brokerage service quality factors in order to improve the customers' request intention.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.233-238
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• 2003

인터넷의 급속한 성장과 함께 분산 네트워크 환경 하에서의 정보 검색 문제는 중요한 이슈가 되고 있다. 기하급수적으로 증가하는 정보의 홍수 속에서 사용자가 원하는 정보나 서비스를 효율적으로 찾아주는 방법은 꾸준히 연구되고 있다. 이러한 문제를 해결하기 위해서 멀티에이전트(Multi-agent)환경 하에서 원하는 서비스를 제공하는 에이전트들을 효율적으로 탐색해 주는 에이전트간의 매치메이킹(Matchmaking) 시스템은 좋은 해결방안이 될 수 있다. 본 논문에서 제안한 확장 매치메이킹 알고리즘은 중개 에이전트가 특정 도메이 지식을 효과적으로 이용할 수 있도록 문제에 대한 표현과 추론 과정이 명확한 CSP로 모델링 함으로써 불필요한 탐색 공간을 효율적으로 제거하도록 하였으며, 서비스 요청 에이전트의 요구사항을 만족시키면서 가능한 한 중복되는 에이전트 쌍이 최소화 되도록 일반적인 유사도(Similarity)와 함께 새로운 경쟁도(Competition)를 고려하였다. 본 논문에서 제안한 알고리즘이 기존의 매치메이킹 알고리즘보다 더 효율적인 것을 보이기 위해 온라인 인력 채용박람회를 모델로 하여 중개 에이전트가 직업을 구하는 서비스 요청 에이전트와 인재를 모집하는 서비스 공급 에이전트간의 매치메이킹 문제에 대해 실험 평가하였다.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.75-87
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• 2005

Under the internet age, the competition among recruiting intermediaries including online and offline players has been intensified for several years. Therefore, their business processes or business models have also been transformed to be able to earn the competitive advantages. For these reasons, the traditional players like offline-based recruiting companies have willingly or unwillingly experienced the competitive disadvantages on the recruit battle ground. The online recruiting intermediaries, who newly participated in this industry and based on the internet environment, however, seized on the competitive advantages with the richness and the reach traits of online media. Under this context, the offline traditional intermediaries, who have been threatened by new online entries, must make a replacement of traditional trading mechanisms with alternative trading mechanisms like IT-enabled intermediaries. In this study by exploratory approach, we investigate the phases of transformation of the traditional recruiting intermediaries, changes in business strategies of offline-based firms, and impacts of online media in e-recruiting industry.

• Journal of Internet Computing and Services
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• v.5 no.4
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• pp.53-62
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• 2004

This paper presents a study on the optimization for brokering between cargos and ships for future e-logistics. The primary contribution of this research is that we establish an optimization model by formalizing the criteria for the brokering such as time constraints, weight constraints, and preference values between cargos and ships. Another important contribution is that we not only investigate the complexity and the tractability of the optimal brokering problem but present how to evaluate the performance of the optimization program through an experiment. We first derive the preference values between cargos and ships using the time and the weight constraints. These preference values between each pair of cargos and ships are assigned to corresponding binary decision variables as coefficients in the objective function. The optimization model selects pairs of cargos and ships in a way that the sum of the preference values is maximized while satisfying given constraints. Experiment shows that the Davis-Putnam based optimization program finds optimal solutions in reasonable time for the problems with less than 90 decision variables.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.265-272
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• 2003

Off-line ship chartering is done nearly through(by) the brokers. Because of the international scale of chartering marker, brokers spend too much times and costs on searching the most appropriate product which the consumers want. In this research, we propose the on-line Charter Product Categorization Model to search the products efficiently in the Cyber Chartering System. This Model will make concerned parties of the ship chartering to get efficient and unific product information. and to select the most appropriate product. In this research, we classified the ship chartering products into categories of cargo, ship type, and sea routes, and formed the definition of mutual relation of each products. Moreover we verified that this classification is necessary to search the products by the product searching experiment.

• Information Systems Review
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• v.8 no.2
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• pp.51-72
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• 2006

This study investigates the typology of Internet business models according to revenue sources, and empirically tests how the revenue sources of each Internet business model are different each other. This study consists of the following two steps. First, AHP(Analytic Hierarchy Process) is adopted in developing the influential factors(indexes) for the profitability of each Internet business model and the weight score of each factor. The questionnaire for AHP consists of 47 questions on 9-point scales, and was distributed to 10 experts on Internet business model. Expert Choice program has been used for analysis. Second, the questionnaire to survey the current profitability of each Internet business model was developed on 5-point scale. In order to analyze the actual revenue quality and source of Internet business models, we used MANOVA and ANOVA. This study contributes to develop the desirable revenue or profit model of each Internet business model, and also provides a reference in evaluation of the revenue quality of Internet business models.

• Journal of Digital Convergence
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• v.3 no.2
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• pp.131-142
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• 2005

Under the internet age, the competition among recruiting intermediaries including online and offline players has been intensified for several years. Therefore, their business processes or business models have also been transformed to be able to earn the competitive advantages. For these reasons, the traditional players like offline-based recruiting companies have willingly or unwillingly experienced the competitive disadvantages on the recruit battle ground. The online recruiting intermediaries, who newly participated in this industry and based on the internet environment, however, seized on the competitive advantages with the richness and the reach traits of online media. Under this context, the offline traditional intermediaries, who have been threatened by new online entries, must make a replacement of traditional trading mechanisms with alternative trading mechanisms like IT-enabled intermediaries. In this study by exploratory approach, we investigate the phases of transformation of the traditional recruiting intermediaries, changes in business strategies of offline-based firms, and impacts of online media in e-recruiting industry.