• Journal of Information Technology Applications and Management
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• 제13권4호
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• pp.303-319
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• 2006

Business Information Systems are strategic applications to achieve companies' goals and innovation. This idea make companies invest their time and budget in the Information Systems. However, it is difficult to forecast effects of the investment in Information Systems and it causes hesitation of making decision. Thus, I researched a case so that I could forecast the effect of the information systems using AHP(analytic hierarchical process). In this study, I approached this matter with three views such as intelligence(review of prior literature), design(methodology development), and application. This study is significant in terms of practicality rather than theoretical dimension. Particularly, I suggested a way of quantifying in monetary value the quality aspects through inverting qualitative facts to quantitative facts and calculated the investment feasibility with it.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2000년도 종합학술대회발표논문집
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• pp.207-214
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• 2000

Over the last several decades, the topic of the source selection and evaluation has gained a great attention in the information systems community as an effective tool to acquire information systems in an organization. The source selection and evaluation process is a multiple-criteria decision-making problem associated with several evaluation issues. In this case study, evaluation issues include management, technologies, logistics, and cost. This case study was conducted to compare a new source selection and evaluation process by using the analytic hierarchy process with the traditional approach. This study provides useful insight about how to apply the analytic hierarchy process technique to the traditional approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권2호
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• pp.567-582
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• 2014

The purpose of this study is to qualitatively identify the typologies and characteristics of the big data marketing strategy in major companies that are taking advantage of the big data business in Korea. Big data means piles accumulated from converging platforms such as computing infrastructures, smart devices, social networking and new media, and big data is also an analytic technique itself. Numerous enterprises have grown conscious that big data can be a most significant resource or capability since the issue of big data recently surfaced abruptly in Korea. Companies will be obliged to design their own implementing plans for big data marketing and to customize their own analytic skills in the new era of big data, which will fundamentally transform how businesses operate and how they engage with customers, suppliers, partners and employees. This research employed a Q-study, which is a methodology, model, and theory used in 'subjectivity' research to interpret professional panels' perceptions or opinions through in-depth interviews. This method includes a series of q-sorting analysis processes, proposing 40 stimuli statements (q-sample) compressed out of about 60 (q-population) and explaining the big data marketing model derived from in-depth interviews with 20 marketing managers who belong to major companies(q-sorters). As a result, this study makes fundamental contributions to proposing new findings and insights for small and medium-size enterprises (SMEs) and policy makers that need guidelines or direction for future big data business.

• 한국콘텐츠학회논문지
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• 제15권12호
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• pp.525-533
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• 2015

주파수 공유 기술의 진화는 TV 유휴대역 활용과 같은 다양한 신규 비즈니스 모델의 출현을 불러일으킬 것으로 예상된다. 그런데 주파수 공유를 고려한 비즈니스 모델은 서비스 제공업체의 경제적 타당성을 충족시키고, 서비스 이용자에게는 이전 서비스보다 증가된 편익을 제공해야 한다. 이와 더불어, 신규 비즈니스 모델은 무선 통신 서비스 분야를 포함하여 산업 활성화에 기여해야 한다. 이러한 다양한 목적을 이룰 수 있는 최적 비즈니스 모델 선별에 적합한 정량적 평가방법이 필요하다. 평가방법에는 정부, 서비스 제공자, 서비스 이용자의 평가 관점이 골고루 반영되어야 한다. 본 연구는 주파수 공유 비즈니스 모델의 평가방법을 제시한다. 먼저 주파수 공유 기술 적용의 특수성을 고려한 평가속성과 평가척도를 정의한다. 또한 계층적 의사결정 분석기법(AHP)을 적용하여 평가속성 및 평가항목의 상대적 중요도를 도출한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2001년도 추계학술대회 논문집
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• pp.111-115
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• 2001

A good business performance measurement system is an effective tool io sustained growth in profits. Although interest in creating performance measurement models is widespread, a well-designed system is rare. To be successful in today's competitive environment, a performance measurement system should incorporate strategic success factors and contain financial and non-financial measuring index to carry out strategic management. In the 1990s, Kaplan & Norton introduced a concept called the Balanced Scorecard. The Balanced Scorecard supplements traditional financial measures with criteria that measured performance from three additional perspectives - those perspectives of customers, internal business processes, and learning and growth. This paper presents five measuring index criteria for each perspective. To calculate the relative priority for These measuring index, we investigate weights investigated by interviews with management consultant. Then, AHP method is employed for calculating priority weight. Our evaluation model may be referred to as the Balanced Analytic Hierarchical Performance Model(BAHPM) in the sense that the analytic hierarchical scheme, along with the AHP, is applied. The BAHPM is the first kind of analytical model to cover a wide variety of measures. In comparison with previous evaluation models, our model shows strengths in structural flexibility, ease of incorporating feedback, group evaluation capacity, participation promotion, sensitivity analysis, and computational simplicity. A prototype based on the BAHPM can be applied to various industry sectors.

• 정보처리학회논문지D
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• 제16D권5호
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• pp.737-746
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• 2009

SOA의 출현은 비즈니스 및 IT 환경에 많은 영향을 주었고 학계 및 산업에서 많은 연구가 진행 중이다. 향후 서비스는 폭발적으로 증가할 것이며, 서비스를 컴포지션하여 비즈니스 기회를 창출하고 IT는 이를 지원할 것이다. 그러나 컴포지션의 대상이 되는 서비스를 선정하는 연구는 부족한 실정이다. 본 연구는 서비스 컴포지션 대상을 선정하는 프레임워크를 제안하는 것이며, 선정 방법으로는 Analytic Hierarchy Process 기법을 활용한다. 본 연구의 결과는 서비스 조합시 서비스의 기능/비기능 속성을 반영하고 다양한 이해당사자의 관점과 다수 선정 기준을 적용 하여 서비스 선정을 가능하게 하였다.

• 한국IT서비스학회지
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• 제20권3호
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• pp.87-101
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• 2021

Since the introduction of block chain technology, its potential use in financial service area have been increasing, and financial firms are seeking ways to take advantage of the benefits of it. The purpose of this study is to present an approach to prioritize block chain-based services for bank. Toward this, we picked out potential financial services through focus group interview and derived the criteria that can be used in evaluating the priorities of block chain-based banking services in the same way. Then, we propose an analytic hierarchy process model to help decision makers prioritize the banking services while considering multiple criteria of technology issues, governmental regulations in the financial industry, cost, managerial issues, customers' needs, and the business opportunity for the bank. By using the analytic hierarchy process model, we can estimate the weighting coefficients to be assigned to each criteria and determine the order of priority in determining the best block chain-based service for the case study bank. The results show that banking login authentication would be forefront service, followed by money transfer, document notarization, and trade financing service in the order, and the trade financing could be most important service in terms of the business profitability for the bank in the future.

• 아태비즈니스연구
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• 제14권1호
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• pp.231-246
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• 2023

Purpose - This study attempts to provide a new theoretical perspective on the quality signaling and its impact on a market under information asymmetry, focusing on how the accuracy and the cost of quality signaling affect sellers' and buyers' profit, suggesting appropriate designs of quality signaling methods which mitigates information asymmetry. Design/methodology/approach - In order to examine the effect of quality signaling on strategic interactions within the market, we establish an analytic model where market outcomes are determined by seller's quality claim and price, and buyers are risk-neutral. By investigating this analytic model through relevant game trees, we find the subgame perfect Nash equilibria of the market and predict related market outcomes based on sellers' quality signaling strategy. Findings - Our analytic model shows counterintuitive results that seller profit will be the lowest with inaccurate quality signaling and the highest with no quality signaling, mostly due to the certification cost. Consequently, sellers should proceed with caution if the quality signaling is less than accurate, as it may backfire. We believe that this is due to the fact that the inaccuracy of quality signaling causes some confusion and uncertainty in both sellers and buyers' decision to maximize profit, making it hard for sellers to predict buyers' behavior. Research implications or Originality - Although the sources and types of quality signaling errors have been investigated in the literature, there has not been satisfactory understanding regarding how inaccuracy of quality certification affects specific market outcomes. We expect that our theoretical model would provide important implications on how to utilize quality signaling to solve adverse selection issues in markets under information asymmetry.

• 대한안전경영과학회지
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• 제7권4호
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• pp.165-177
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• 2005

Supply Chain Management(SCM) system is a critical investment that can affect future competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper provides the characteristic factors of SCM system selection and the SCM system evaluation and selection model based on Analytic Hierarchy Process(AHP). The proposed model can systematically construct the objectives of SCM system selection to support the business goals. A empirical example demonstrates the feasibility of the proposed model and the model can help a company to make better decision-making in selecting SCM system.

• Journal of applied mathematics & informatics
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• 제40권1_2호
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• pp.141-151
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• 2022

The purpose of the present paper is to obtain some conditions for strongly starlikeness and univalence of normalized analytic functions in the open unit disk. Further, we prove an univalence and argument properties for certain integral operators.