• 농촌계획
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• 제28권2호
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• pp.41-50
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• 2022

The primary purpose of this study is to identify various factors that affect farmland prices according to changes in the actual transaction price of farmland over the past decade, and to use this to derive policy implications for price stabilization. To this end, the farmland price model are constructed at the parcel level in the case area (Namwon-si, Jinju-si). The analysis method is based on the Hedonic price function, and the OLS and the quantile regression are used for the parcel level model. As a result of estimating the parcel level farmland price model in the case area, the larger the parcel area, the lower the farmland price, and the higher the farmland price outside the agricultural promotion area. It was found that there was a price difference according to the type of special purpose areas, and the location characteristics showed some differences across the cities. The farmland price models presented in this study are suitable for identifying the factors affecting farmland prices, and are expected to be highly utilized in that it is possible to construct flexible variables suitable for regional characteristics.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.605-613
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• 2020

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

• 한국산학기술학회논문지
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• 제6권1호
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• pp.48-53
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• 2005

본 논문은 오픈소스소프트웨어와 사적독점 소프트웨어를 비교하고 이를 바탕으로, 오픈소스소프트웨어가 독창적으로 가치를 창출할 수 있는 비즈니스 모델을 제안하는데 목적이 있다. 우리가 제안하는 오프소스소프트웨어의 새로운 비즈니스 모델은 맞춤형 소프트웨어를 제공하는 것이다. 이는 사적독점소프트웨어가 소프트웨어 산업에 미치는 좋지 않은 영향인 고착화와 거래비용을 소프트웨어 유통을 통해 제거할 수 있는 비즈니스 모형이다. 맞춤형 소프트웨어는 라이센스 판매 위주로 수익을 창출해 온 방식을 대신해 가치사슬 상의 관련 산업을 통해 가치를 창출함으로써 효율적인 소프트웨어 시장을 구축한다. 소프트웨어의 가치를 증대할 수 있도록 유통시킴으로써 라이센스 판매가 아니더라도 산업 전반의 가치를 높여서 시장의 성장과 수익을 도모할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권9호
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• pp.2370-2387
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• 2012

A new security management model based on Rough set and Bayesian learner is proposed in the paper. The model focuses on finding out malicious nodes and getting them under control. The degree of dissatisfaction (DoD) is defined as the probability that a node belongs to the malicious node set. Based on transaction history records local DoD (LDoD) is calculated. And recommended DoD (RDoD) is calculated based on feedbacks on recommendations (FBRs). According to the DoD, nodes are classified and controlled. In order to improve computation accuracy and efficiency of the probability, we employ Rough set combined with Bayesian learner. For the reason that in some cases, the corresponding probability result can be determined according to only one or two attribute values, the Rough set module is used; And in other cases, the probability is computed by Bayesian learner. Compared with the existing trust model, the simulation results demonstrate that the model can obtain higher examination rate of malicious nodes and achieve the higher transaction success rate.

• 정보처리학회논문지D
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• 제11D권2호
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• pp.435-442
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• 2004

기업이 시장 환경 변화에 빠르게 대응하기 위해서는 기업 업무 프로세스의 자동화가 필요하고 이러한 자동화를 위해서는 기업 응용 체계를 통합해야 한다. 기업 응용 체계를 통합하는 방법으로는 동기적 통합(Synchronous Integration) 방식과 비동기적 통합(Asynchronous Integration) 방식이 있으며 비동기적 통합 방식으로써 EAT(Enterprise Application Integration)와 Web Service는 기업 업무 프로세스를 통합할 수 있는 방법으로써 최근 대두되고 있는 방식 중에 하나이다. 비동기적 통합(Asynchronous Integration)방식을 이용하여 기업의 응용 프로그램들을 통합한 후에는 업무 프로세스의 처리 과정인 비즈니스 트랜잭션을 자동으로 처리하기 위한 트랜잭션 관리가 필요하게 된다. 이를 위해서2PC 프로토콜(2-Phase Commit Protocol)을 근간으로 한 비즈니스 트랜잭션 처리 모델들이 제안되고 있으나 기업 자원을 효율적으로 활용할 수 있는 데는 한계가 있다. 따라서 본 논문에서는 기업의 응용 프로그램들을 통합할 수 있는 환경으로써 EAI와 Web Service와 같은 유연한 결합(Loosely Coupled)의 분산 환경에서 기업 자원을 효율적으로 관리하면서 트랜잭션을 처리하기 위한 모델을 제안한다 이 방식은 2PC 프로토콜 방식을 보완하기 위하여 Classify Phase를 추가한 3PC 프로토콜(3-Phase Commit Protocol)방식으로서 유연한 결합 환경에서 트랜잭션을 효율적으로 관리하고 트랜잭션 처리 자원을 절약할 수 있도록 한 방식이다. 본 논문에서는 기존의 분산 트랜잭션 처리방식인 2PC 프로토콜 기반의 트랜잭션 처리 모델의 문제점을 제시하고 이를 해결하기 위한 방법을 제시함으로써 제안한 모델의 성능을 확인하였다.

• 한국통신학회논문지
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• 제27권11C호
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• pp.1064-1073
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• 2002

본 논문에서는 프로토콜 개발 도구를 이용하여 Wireless Application Protocol (WAP) 포럼에서 제안하는 무선 트랜잭션 프로토콜(Wireless Transaction Protocol: WTP)을 구현하였다. 또한, 서버모델, coroutine 모델 및 activity-thread 모델에 따라 개발도구의 지원없이 직접 개발된 WTP 구현물들과 그 성능을 비교 분석하였다. 우선 Unified Modeling Language (UML)을 사용하여 프로토콜의 요구사항을 분석함과 동시에 프로토콜 엔진의 구조를 정의하였으며, 이를 기반으로 Specification and Description Language (SDL)을 사용하여 프로토콜 엔진을 상세 설계한 후, 코드 자동 생성기를 이용하여 WTP 구현물을 생성하였다. 구현물의 성능을 분석한 결과, 3,000개 이하의 클라이언트가 동시에 접속할 경우에는 트랜잭션 처리율(throughput)과 트랜잭션 처리 지연시간(system response time) 측면에서 기존의 세 가지 모델을 이용하여 직접 개발한 프로토콜 엔진과 그 성능이 대등함을 알 수 있었다. 그러나, 5,000개 이상의 클라이언트가 동시에 접속할 경우 트랜잭션 성공률은 약 10%까지 급격히 감소하고 트랜잭션 처리 지연시간은 1,500㎳까지 증가하였는데, 이는 프로토콜 개발도구를 사용한 경우에 구현물의 크기가 약 62% 증가하면서 프로토콜 처리시간 증가로 인한 것이다. 그러나, 이러한 실험 결과는 실험에 사용된 PC 서버의 사양을 고려할 때 호스트의 과부하로 인한 것이며, 부하분산 기능이 제공되는 실제 환경에서는 프로토콜 개발 도구를 사용하지 않고 직접 개발한 프로토콜 엔진과 거의 대등한 성능을 보였다.

• 디지털융복합연구
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• 제6권3호
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• pp.75-84
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• 2008

The purpose of our this research, based on the Media Selection Theory, the Technology Acceptance Model, and the Social Influence Theory, is to investigate the influential factors that affect media selection in banking transactions. Analyses showed that for location sensitive bank window's and ATMs (automatic teller machines), defined as offline-based transaction channels, convenience was the variable affecting media selection. However, in the case of online media not related to location, (phone banking, internet banking, and mobile banking) reliability was the significant variable influencing use. The findings show that banking organizations may benefit from identifying traits of media affecting use, and should differentiate customer services for competitive advantage.

• 한국정보시스템학회지:정보시스템연구
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• 제22권1호
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• pp.181-200
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• 2013

Electronic channel of automobile insurance has emerged as an attractive way of lowering costs and saving time to do the transaction for customers. Electronic channel refers to using web sites to find useful information on insurance products, buy automobile insurance, and ask for services related to the insurance. This study suggests a modified model of the UTAUT and examines the factors influencing intention to use electronic channel in the transaction of automobile insurance. Based on 203 responses from potential automobile insurance buyers, the results showed that performance expectancy, effort expectancy, social influence, service expectancy, and security risk are significantly related to intention to use electronic channel. The results also showed that age as a moderator influences the effects of performance expectancy and effort expectancy on intention to use electronic channel. The study results would improve the understanding of the factors to which managers of insurance companies should pay attention in order to increase their sales through electronic channel.

• 산업공학
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• 제13권1호
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• pp.17-28
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• 2000

As knowledge has been recognized as a new resource in gaining organizational competitiveness, Knowledge Management (KM) is suggested as a method to manage and apply knowledge for business management. KM research, however, has focused on identifying, storing, and distributing the transaction-related knowledge in an organization. There has been little research on applying the knowledge to decision-making or strategy development that is the main task of business management. The application of knowledge to decision making has higher impact on organizational performance rather than just the knowledge management for process transaction. In this research, we suggest System Dynamics (SD) for the knowledge-based decision-making. Based on the modeling method of SD, we can translate partial and implicit knowledge resident in individual's mental model into organized explicit knowledge. The simulation test of the organized knowledge model enables decision-makers to understand the structure of the target problem and its behavior mechanism, which facilitates effective decision-making. We will compare the proposed method and other KM methods and discuss this research based on the application case to a real telecommunication company.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.646-651
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• 2007

Secure digital payment is critical in the successful shaping of global digital business. Digital payments are increasingly being used as a substitute to traditional payments, contributing markedly to the efficiency of the economy. The focus of every digital business transaction is to minimize risks arising from transactions. It is essential to ensure the security of digital payment whether used in internal networks or over wireless Internet. This paper analyses secure digital payment methods from the viewpoint of systemic security and transaction security. According to comparative analysis of digital payment models, this paper proposes a comparative analysis framework to investigate and evaluate secure digital payment. In conclusion, the comparative analysis framework, comparison of digital payment models and mobile payment models proposes a useful academic and practical foundation to enhance the understanding of secure digital payment methods. It also provides academic background and practical guidelines for the development of secure digital payment systems.