• The Journal of Information Systems
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• v.12 no.1
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• pp.1-17
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• 2003

ERP is a topic of currency in MIS circle. Numerous organization have developed their information systems using many kinds of ERP packages such as Oracle, SAP R/3, uniERP, etc. However, the pricing methodology of ERP systems is not yet established in a proper way. This paper attempts to investigate factors influencing the price of ERP system. Thirty eight ERP consulting firms participated in this research project. Based on the data from ERP consulting firms, price of ERP systems basically consist of package cost, consulting fee, and customizing expense. The results of this research project are finding factors affecting above three parts that consist price of ERP system. This paper found that factors influencing package price are number of modules, number of users, the degree of package reliability. The factors affecting consulting fee are the degree of project specialty, level of consultants. Finally the factors influencing customizing cost are the degree of project difficulty, project time.

• Asia pacific journal of information systems
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• v.17 no.1
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• pp.59-76
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• 2007

Information and Communication Technologies (ICT) changed our everyday business drastically. Business routines have been transformed to online activities. New theories and models were developed for the brand new online environment. For online negotiations, however, the research on new mechanisms is not enough, especially for bilateral distributive negotiations. A reserve price reporting mechanism (RPR) together with its extended version (ERPR) is proposed in this paper. The key improvement of reserve price reporting mechanisms is to let the negotiators report their reserve price to a third-party system before they actually start the negotiation. A prototype of this RPR system is developed and a lab experiment is conducted to test the performance of the two mechanisms compared with traditional direct bargaining (TDB) mechanism. The results of the experiment support that the reserve price report mechanisms proposed are more efficient than the traditional one in several dimensions including social welfare.

• Korea Journal of Hospital Management
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• v.5 no.1
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• pp.200-231
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• 2000

The price systems of the hospital drug services play key roles in the provision of quality services and the development of pharmacy service technologies. Under the premises, this study attempted to determine the costs of hospital drug service, to compare the costs calculated with the fees publicly fixed by the Government, and based on the results of the analysis, to propose directions for the improvement of the price systems. A Costing model for the study was developed based on the cost-fee relationship analysed of the Korean fee-for-service systems. Data on costs and workloads of the 25 hospitals were collected through survey forms designed for the costing' and analysis for the duration of 12 months of 1998. The results of the analysis show that a tremendous unbalance between cost and price levels of the drug services, and that overally the price level of the services is extremely low when compared to the costs of services. Based on these findings, this study suggests that unfairly high or low price level be corrected, and that service items newly developed and being practiced at tertiary hospitals, such as TDM and TPN consultation services, be compensated by fixing a proper level of price.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.247-251
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• 2006

In this paper, we define an interval-valued Choquet price functional which is a useful tool as the price of an insurance contract with ambiguity payoffs and investigate some characterizations of them. Moreover, we show that the insurance price with ambiguity payoffs has an interval-valued Choquet integral representation with respect to a capacity.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.717-724
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• 2006

The cost estimation of software is getting more important as the portion of software is increasing in acquiring weapon systems. However, the cost estimation of embedded software in a weapon system follows the cost estimation method for general purpose softwares and uses the PRICE S model as a tool. However, any validation result of the estimated cost through an evaluated software size is not well known. Hence, we propose an approach to estimate the cost through evaluating the embedded software site in weapon systems. In order to achieve our research goal, we evaluate the software size of using the line of codes and function points which are produced by the PRICE S model. Finally, we compare the estimated cost data the actual cost data provided by the production company. As a result, we propose an approach to estimate the size and the cost of embedded software in weapon systems which are not easy to estimate objectively. We also expect that the Proposed approach is used for the cost validation and negotiation in the acquisition of weapon systems in the future.

• Asia pacific journal of information systems
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• v.24 no.3
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• pp.393-415
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• 2014

This study examines the dynamics of trust and distrust at different price levels. We first note that trust and distrust are built with cognitive and affective foundations, and price is viewed as a financial burden or product quality information. Then, we relate price changes to trust and distrust, and hypothesize their interactions: price as a quality cue will positively moderate the cognitive dimension of trust, whereas price as financial burden will negatively moderate the affective dimensions of trust and distrust. We surveyed 263 online mall shoppers in Korea. Among our eight hypotheses, six are fully supported and two are partially supported. The result shows that price perception interacts with both the cognitive and affective dimensions of trust and distrust, but its specific impacts are distinguished by the price perceptions, whether it is financial burden or product quality information.

• The Journal of Information Systems
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• v.22 no.4
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• pp.85-115
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• 2013

Digital knowledge and information goods as experience goods have some unique characteristics such as close to zero reproduction and distribution cost, high price volatility, and low price acceptability. For the reasons, the pricing policies of digital knowledge goods are very difficult and complicate. Also, most consumers of digital goods have experienced cognitive dissonance after buying decision. The purpose of this paper is to investigate what factors affect the price acceptability level and cognitive dissonance of digital knowledge goods buyers. This paper suggest a structural model that was established by the cognitive dissonance theory and S-O-R(Stimulus-Organization-Response) model. The model is consisted of four exogenous variables and three endogenous variables. The empirical test and statistical analysis suggest following results and practical implications. The variables such as product involvement and perception of price fairness that have positive roles to price acceptability have strong influence on the all the three endogenous variables. But the variables such as sale proneness and price mavenism that have negative roles to price acceptability have little influence on the all the three endogenous variables. In the model, the payment intention was very important mediating variable between exogenous variables and two dependent variables, ie. price acceptability and cognitive dissonance. These results imply that the digital knowledge portals must have some differentiated pricing policies to the customers who have price consciousness and price mavenism. Also, they need some special promotions to whom have positive attitude to the value of digital goods.

• Journal of the military operations research society of Korea
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• v.30 no.2
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• pp.13-31
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• 2004

This paper aims at efficient determining the economic life of weapon systems. Specifically, the procedure to estimate the life cycle cost at initial acquisition state or at development state using the PRICE model is proposed. The PRICE model is a parametric cost estimation which is widely used in the field of national defense. The model includes the estimation of the cost in life cycle of weapon systems such as research and development, acquisition, operation and support. Using this model, economic life of weapon systems can be determined. Based on an equivalent annual cost (EAC) method which sums the capital recovery with return (CR) and the equivalence cost (EC), the economic life will be calculated. A case study is accomplished to illustrate the proposed procedure.

• Management & Information Systems Review
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• v.25
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• pp.321-337
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• 2008

The house price rise suddenly is not only Economic stability but economic, mental state of a heavy burden to people. This paper is a house finance environment analyzed in this research about the rise factor of the house price and the result to present the plan to the natural disposition. The financial institute has an influence on the disguised demand extension of the house and The mortgage Lending in commercial Banks with the earnings as the stability high than the industry loaning. A house finance environment changes and will go from economic factor of the variety of the life style, the housing conditional according to the income level, a children education condition, and the population structure many this little. The disposition of the house need changes according to this and will have an influence on the house price. Necessary for a house market environment house policy of the market need which the consistency reflects so that we are suitable and is desired.

• Asia pacific journal of information systems
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• v.11 no.4
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• pp.99-111
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• 2001

The prediction of stock price index is a very difficult problem because of the complexity of stock market data. It has been studied by a number of researchers since they strongly affect other economic and financial parameters. The movement of stock price index has a series of change points due to the strategies of institutional investors. This study presents a two-stage forecasting model of stock price index using change-point detection and artificial neural networks. The basic concept of this proposed model is to obtain intervals divided by change points, to identify them as change-point groups, and to use them in stock price index forecasting. First, the proposed model tries to detect successive change points in stock price index. Then, the model forecasts the change-point group with the backpropagation neural network(BPN). Finally, the model forecasts the output with BPN. This study then examines the predictability of the integrated neural network model for stock price index forecasting using change-point detection.