• Journal of the Korean Society of Clothing and Textiles
• /
• v.21 no.8
• /
• pp.1307-1314
• /
• 1997

This study investigated the factors that influence consumers' distrust and consumers purchase intention for discounting, specifically discounting of clothes. Through literature, discounting rate, retailer type and brand reputation were identified as influencing factors and were tested. A 2$\times$2$\times$3 factorial design was used to test the effect of each factor on consumers' distrust and consumers' purchase intention for jean products. Retailer type was manipulated as high and low, brand reputation as well-known and less-known, and discount rates 10, 30 and 60%. An convenience sample of 165 female undergraduate students participated in the study. The data were analyzed using SPSS/PC+ The results showed that consumers did distrust discounting claims and consumers' distrust of the claims was greater for less-known brand. In addition, no significant effect of retailor type was found. Further effort is needed to generalize the result to different product categories.

• The Journal of Fisheries Business Administration
• /
• v.43 no.3
• /
• pp.31-41
• /
• 2012

This paper was conducted to study the economic valuation for Nursery-Phase production of the tidal flat oyster in Korea. Benefit-cost(B/C) model used to indicate the effects of economic valuation. Using discounting rates(i.e., 4.5%, 6.5% and 8.5%), the model compared revenues and costs that occur at different times from 2012 to 2018. This study also estimated various submodels, which are Benefit Cost Ratio(B/C ratio), Net Present Value(NPV), Internal Ration of Return(IRR), to compare profit of Nursery-Phase production styles and analyzed returns to evaluate the scenarios. Sensitivity analysis were conducted for various scenarios. The results suggest as follows. First, the oyster spat to the shell height of 3~5cm was more profit than the shell height of 1~3cm. Second, all of sensitivity analysis with submodels were economic valuation such that B/C ratio > 1, NPV > 0 and IRR > discounting rate. Third, the payback period was about 3years after installed Nursery-Phase production system.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.6 no.9
• /
• pp.27-33
• /
• 1983

This Paper represents time-dependent stochastic variations of common discounted cash flow formulae with explicit consideration given to inflation. The cash flow, the ratio of discounting or compounding, and the rate of inflation are allowed to vary with time in a random fashion in equations for the compound amount of a single payment, present worth of a single payment, amount of an annuity, periodic deposits to accumulate a future amounts, present worth of an annuity and capital recovery And all formulae are derived for the case of discrete random variations.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.05a
• /
• pp.742-745
• /
• 2004

Most of options pricing theory including Black and Scholes continuous model and Cox, Ross, and Rubinstein(CRR)'s binomial lattice model were developed based on the notion that continually revised risk-free hedges involving options and stock should earn the risk-free interest rate. This notion is valid with the assumption that the investor's attitude toward risk is neutral. In reality, this assumption may be frequently violated. Therefore, Hodder, Mello, and Sick proposed the way to value real options using the risk-adjusted interest rate. However, they did not show how to derive the mathematical expression for it. In this paper, we will clearly present how to obtain the mathematical expression for the risk-adjusted interest rate for real options and demonstrate two numerical examples to show its applicability.

• Korean Journal of Agricultural Science
• /
• v.31 no.2
• /
• pp.123-134
• /
• 2004

Since 1989, 9 major complex have been invested with government funds, for the purpose of developing agricultural tourism to increase agricultural income and job opportunity, as well as providing urban population leisure opportunity. However, systematic and comprehensive approaches were rarely done in analyzing its economic impacts. This study, therefore, focuses on analyzing tourism effect and its economic value and implication for a representative rural tourism site,"Daeho rural tourism complex". To analyze travel pattern, expenditure pattern, and degree of satisfaction from travel to Daeho complex, Travel Cost Method(TCM) was employed based on survey method. Results from linear model with statistical significance implies that tourism benefit for each visitor is 28,373 won and total annual benefit for the Daeho site is 7 billion won. Considering annual benefit stream, the present value of total benefits are 132.9 billion won and 70 billion won at 5% and 10% of discounting rate, respectively. Using the values of benefit estimated from this study and investment cost, B/C ratio, IRR, and NPV were calculated to be 1.01, 1.67 billion won, and 5.19% at 5% of discounting rate. These results could be directly compared with the previous analyses.

• Journal of Radiation Protection and Research
• /
• v.27 no.2
• /
• pp.77-80
• /
• 2002

A more practice approach for the determination of monetary values of the unit collective dose for intervention against long-term exposure following a nuclear accident was proposed. In addition, she monetary values of the unit collective dose estimated from the proposed approach were compared with those estimated from the previous model, which are derived from assumptions of routine exposure and the same values are applied in a nuclear accident without modification, using Korean economic data. The monetary values based on the proposed approach showed a distinct difference depending on inequity in the distribution of individual doses. The discounting rate was also an important factor in determination of monetary values of the unit collective dose.

• Proceedings of the KSR Conference
• /
• 2004.10a
• /
• pp.1566-1574
• /
• 2004

This study tried to find out alternatives adjusting basic fare using customer survey. But it merely verified that train fare decision is made by government's role and market status. Also, it has a limitation deciding resonable fare of KTX that average cost and marginal cost calculation is impossible because Korean National Railroad does not follow 'Activity Based Costing'. It is rational fare decision that performing survey to railroad experts and general customers, and compare two results. Summarizing results of this study, 1. The hypothesis 'Experts' perceived fare level of KTX is higher than that of general customer. 'is carried. It suggests that following experts' opinion with general customer's is very rational method to decide fare level. 2. The hypothesis 'Experts expect lower level of fare discount rate than general customer.' is carried. 3. It is hard to decide priority among many kinds of discount for difference of two group's preference. However, following recent research project is maximized by discounting fare 30$\%$ on 40$\%$ of total passenger and expand number of discount kinds step by step are desirable.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.8
• /
• pp.3926-3945
• /
• 2018

In Jøsang's trust model, trust evaluation is obtained through operators, but there are problems with the mutuality and asymmetry of trust and the impact of event weight on trust evaluation. Trust evaluation is updated dynamically and continuously with time and the process of interactions, but it has not been reflected in Jøsang's model. Therefore, final trust evaluation is not accurate, and malicious fraud cannot be prevented effectively. This causes the success rate of interaction to be low. To solve these problems, a new dynamic trust model is proposed based on extended subjective logic (DTM-ESL). In DTM-ESL, the event weight and the mutuality of trust are fully considered, the original one-way trust relationship is extended to a two-way trust relationship, discounting and consensus operators are improved, and trust renewal is designed based on event weight. The viability and effectiveness of this new model are verified by simulation experiments.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.10a
• /
• pp.68-98
• /
• 2004

Although the internet is useful for transferring information, Internet auction environments make fraud more attractive to offenders because the chance of detection and punishment are decreased. One of fraud is phantom transaction which is a colluding transaction by the buyer and seller to commit illegal discounting of credit card. They pretend to fulfill the transaction paid by credit card, without actual selling products, and the seller receives cash from credit card corporations. Then seller lends it out buyer with quite high interest rate whose credit score is so bad that he cannot borrow money from anywhere. The purpose of this study is to empirically investigate the factors to detect of the phantom transaction in online auction. Based up on the studies that explored behaviors of buyers and sellers in online auction, bidding numbers, bid increments, sellers' credit, auction length, and starting bids were suggested as independent variables. We developed an Internet-based data collection software agent and collect data on transactions of notebook computers each of which winning bid was over 1,000,000 won. Data analysis with logistic regression model revealed that starting bids, sellers' credit, and auction length were significant in detecting the phantom transaction.

• Korean Management Science Review
• /
• v.21 no.2
• /
• pp.273-289
• /
• 2004

Although the Internet is useful for transferring information, Internet auction environments make fraud more attractive to offenders, because the chance of detection and punishment is decreased. One of these frauds is the phantom transaction, which is a colluding transaction by the buyer and seller to commit the illegal discounting of a credit card. They pretend to fulfill the transaction paid by credit card, without actually selling products, and the seller receives cash from the credit card corporations. Then the seller lends it out with quite a high interest rate to the buyer, whose credit rating is so poor that he cannot borrow money from anywhere else. The purpose of this study is to empirically investigate the factors necessary to detect phantom transactions in an online auction. Based upon studies that have explored the behaviors of buyers and sellers in online auctions, the following have been suggested as independent variables: bidding numbers, bid increments, sellers' credit, auction lengths, and starting bids. In this study. we developed Internet-based data collection software and collected data on transactions of notebook computers, each of which had a winning bid of over W one million. Data analysis with a logistic regression model revealed that starting bids, sellers' credit, and auction length were significant in detecting the phantom transactions.