• Journal of Digital Convergence
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• v.14 no.9
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• pp.123-132
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• 2016

This study starts from the research question that "Why some companies decide to keep working in partnership even when they are not satisfied with the partner companies simply because they are old business partners." The authors try to find the answer in terms of customer value considering the phases of B2B transaction spectrum: transaction value, relationship value and appraisal value implementing empirical research. The result shows that the intension to retain the relation with an existing partner is formed by the trade-off between the benefit and cost of both contract value and relationship value and not the sole value was dominant. The unique point of the study is that current study is considering these two factors as dependent variables which affect the relationship continuity which is not the case in existing researches.

• Proceedings of the Korean DIstribution Association Conference
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• 2006.08a
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• pp.155-173
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• 2006

본 연구는 기업의 이윤에 직접적인 영향을 미치는 거래비중을 결정하는 데 있어, 고객가치가 갖는 영향력 및 고객가치 향상을 위해 해당 기업이 갖춰야 할 요건이 무엇인가를 규명하고 있다. 대부분의 기업 간 관계가 복수의 형태를 취하고 있는 현실에 비해, 가치의 선행요소를 규명하는 데 있어서 기존의 연구들은 주로 이원적인 관계에 국한된 연구를 수행함으로써, 실제 유통경로가 처한 상황을 충분히 설명하지 못한다는 한계가 있어왔다. 본 연구에서는 기업의 가치창출 활동이 경쟁우위와 관련되어 있다는 전략이론의 관점을 바탕으로 가치의 선행요소를 규명하고 있다. 연구 결과 가치의 구성요소인 관계혜택과 거래비용은 기업의 거래비중을 결정하는데 결정적인 역할을 하는 것으로 나타났으며, 특히 관계혜택이 거래비용에 비해 상대적으로 더 큰 영향력을 갖는 것으로 밝혀졌다. 가치의 선행요소에 있어서는 기업이 가진 자원에 초점을 맞춘 Resource-based view를 기반으로 한 변수들에 비해, 다른 기업과의 관계에 주목한 Relational view에 관련된 변수들이 고객가치 창출에 더 큰 영향력을 갖고 있음을 알 수 있었다. 추가적으로 행해진 환경의 불확실성의 조절효과를 규명 결과, 환경의 불확실성은 주로 Relational view를 기반으로 하는 관계적 특성에 영향을 미치는 것으로 나타났다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.277-286
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• 2003

첨단기술 분야의 발전 및 기술개발 촉진을 위해서는 개발된 기술의 기업간 이전거래활동이 활발히 이루어져 기술의 상업화와 고도화가 촉진되어야 한다. 이를 위해서는 기술중개기관이나 거래소와 같은 제도적 기반을 갖추는 것뿐만 아니라 특정 기술이 가지는 가치를 중립적 관점에서 평가할 수 있는 방법론의 개발이 요구된다. 기술 구매자와 기술 판매자 사이의 가격협상을 위해서는 특정 기술이 보유한 중립적이고 객관적인 가치가 우선적으로 제시되어야 하기 때문이다. 본 논문은 기술이전거래 촉진을 위한 기술가치평가 모형의 개발과 평가모형에 따른 평가과정을 지원하는 기술가치평가시스템의 개발을 목적으로 차고 있다. 기술가치평가시스템은 웹 기반으로 개발되어, 관심 있는 사용자는 웹 브라우저를 통해 기술적 가치를 실시간으로 신속하고 효율적으로 평가할 수 있도록 구현되어 있다.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.34-46
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• 2021

In the domestic data exchanging market, unreasonable pricing of purchase data is consistently mentioned as a major obstacle in data trading. This is a problem caused by the inability to properly evaluate the value of data products due to lack of product information and experience in using them. In order to activate trading, the data exchanges need to provide information that allows consumers to comprehensively judge the value of data products in addition to prices. The cost-based, income-based, and market-based methods, which are mainly applied to data valuation, are insufficient as data valuation methods to stimulate trading and distribution because only price information, a result of valuation from a supplier's point of view, can be shared with consumers. This study aims to develop a measurable valuation method that allows data trading stakeholders (exchanges, suppliers, and consumers) to judge and share the value of data products from a common perspective. To this end, we identified the value drivers of data products, which are considered important in overseas data exchanges and related research, and derived an evaluation method that can quantitatively measure each value driver. In addition, evaluation criteria in the form of a rating table were developed using data products for transactions, and a value evaluation index was developed through stratification analysis (AHP) to enable relative value comparison. As a result of applying the evaluation criteria to actual data products, it was found that the evaluation values were differentiated according to the characteristics of individual data products, so it could be used as a relative value comparison tool.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.273-299
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• 2013

This study attempts to identify user perceived value as a major predictor of the usage of smartphone-based mobile commerce(m-commerce). More specifically, the study conceptualizes user perceived value of smartphone-based m-commerce along three dimensions, such as temporal, functional, and economic values. Moreover, this study proposes service ubiquity and user control that are uniquely defining characteristics of smartphone-based m-commerce and examines how the two variables are associated with the creation of user perceived value. Using a total of 164 data collected on users of smartphone-based mcommerce, we conducted PLS analysis to test the proposed model and hypotheses. The key findings are as follows : First, it has been found that the usage of smartphone-based m-commerce is determined by the three values, such as temporal, functional, and economic values. Particularly, the results show that temporal value is the most influential variable in predicting m-commerce use. Second, the results demonstrate that service ubiquity has a significant positive effect on temporal value, whereas it has no effect on functional value. Finally, user control is positively associated with temporal and functional values. Overall, the results indicate that service ubiquity and user control considerably increase temporal value, thereby accelerating the use of smartphone-based m-commerce. Discussions and implications of the results are provided.

• The Journal of the Convergence on Culture Technology
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• v.1 no.4
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• pp.71-77
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• 2015

Recently, major activities for the transfer and commercialize of the innovatory IT techniques are revitalized with the active study and development of the IT technologies. Nowadays, the primary concern for the systematic technology valuation gets the great attention in order to transfer or trade innovatory IT techniques easily. It is because the accurate appraisal for the technology is the most important step to get its proper utility value in the transfer and commercialize of the techniques. In this paper, we survey the general technology valuation methods for the transfer and commercialize of the techniques and also examine the special technology appraisal method for the innovatory IT techniques, which have relatively short technical life cycle and can create high added values, in order to transfer innovative IT techniques satisfactorily.

• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.1-22
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• 2018

The value chain has been utilized as a strategic tool to improve competitive advantage, mainly at the enterprise level and at the industrial level. However, in order to conduct value chain analysis at the enterprise level, the client companies of the parent company should be classified according to whether they belong to it's value chain. The establishment of a value chain for a single company can be performed smoothly by experts, but it takes a lot of cost and time to build one which consists of multiple companies. Thus, this study proposes a model that automatically classifies the companies that form a value chain based on actual transaction data. A total of 19 transaction attribute variables were extracted from the transaction data and processed into the form of input data for machine learning method. The proposed model was constructed using the Random Forest algorithm. The experiment was conducted on a automobile parts company. The experimental results demonstrate that the proposed model can classify the client companies of the parent company automatically with 92% of accuracy, 76% of F1-score and 94% of AUC. Also, the empirical study confirm that a few transaction attributes such as transaction concentration, transaction amount and total sales per customer are the main characteristics representing the companies that form a value chain.

• The Korean Journal of Financial Management
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• v.23 no.1
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• pp.69-100
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• 2006

We examine the effect of controlling shareholders ownership structure and related-party transactions(hereafter 'RPT') of publicly traded companies on their firm values during the post-IMF period. In the multivariate regression analysis using control variables such as firm size, capital structure, investment, dividend, profitability and industry dummy that might affect firm values, we find that there exists a significant negative relation between the controlling shareholders ownership structure and firm values proxied by Tobin's Q, and also find that there is a significant negative relation between RPT and the firm values. Those evidences seem to support the controlling shareholders' expropriation hypothesis. Additionally, we investigate the relation between ownership structure and rim value through the piecewise regression analysis. We find a significant 'inverse' U-shape pattern between the controlling shareholders ownership structure and firm values. This result is quite different from the existing literatures that have usually reported an U-shape pattern. In conclusion, the findings in this study do not support the notion that the ownership concentration to the controlling shareholders does negatively affect the firm values monotonically.

• Information Systems Review
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• v.4 no.1
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• pp.131-143
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• 2002

Numerous types of SIS (Strategic Information Systems) have been developed based on certain strategic frameworks. This paper reviews those traditional SIS frameworks, and points out the ignorance of customer-orientation. Also, this paper addresses a new SIS framework based on customer-orientation: i.e., transaction visibility. This paper proposes that computer systems can increase customer value by changing visibility in transactions with customers. Relevant cases are also presented for sake of clear understanding of this new framework.

• Journal of Korea Technology Innovation Society
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• v.19 no.2
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• pp.254-279
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• 2016

Recently, with the conversion towards knowledge-based economy era, the importance of the evaluation for patent valuation has been growing rapidly because technology transactions are increasing with the purpose of practically utilizing R&D outcomes such as technology commercialization and technology transfer. Nevertheless, there is a lack of research on determinants of patent valuation by analyzing technology transactions due to the difficulty of collecting data in practice. Hence, to suggest quantitative determinants for the patent valuation which could be applied to scoring methods, 15 patent valuation models domestically and overseas are analysed in order to assure the objectiveness for subjective results from qualitative methods such as expert surveys, comparison assessment, etc. Through this analysis, the important 6 common determinants are drawn and patent information is matched which can be used as proxy variables of individual determinant factors by advanced researches. In addition, to validate whether the model proposed has a statistically meaningful effect, total 517 technology transactions are collected from both public and private technology transaction offices and analysed by multiple regression analysis, which led to significant patent determinant factors in deciding its value. As a result, it is herein presented that patent connectivity(number of literature cited) and commercialization stage in market influence significantly on patent valuation. The meaning of this study is in that it suggests the significant quantitative determinants of patent valuation based on the technology transactions data in practice, and if research results by industry are systematically verified through seamless collection of transaction data and their monitoring, we would propose the customized patent valuation model by industry which is applicable for both strategic planning of patent registration and achievement assessment of research projects (with representative patents).