• KIPS Transactions on Computer and Communication Systems
• /
• v.4 no.3
• /
• pp.81-84
• /
• 2015

Cloud service is one of major technologies in modern IT business. Due to the dynamics of user demands, service providers need VM(Virtual Machine) provisioning mechanism to predict the amount of resources demanded by cloud users for the next service and to prepare the resources. VM provisioning provides the QoS to cloud user and maximize the revenue of a service provider by minimizing the expense. In this paper, we propose a new VM provisioning technique to minimize the total expense of a service provider by minimizing the expected value of the expense based on the predicted demands of users. To evaluate the effectiveness of our prediction technique, we compare the total expense of our technique with these of the other prediction techniques with a series of real trace data.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2003.11a
• /
• pp.187-190
• /
• 2003

Since the early 1980s, the concept of relationship management in marketing area has gained its importance. Acquiring and retaining the most profitable customers are serious concerns of a company to perform more targeted marketing campaigns. For effective CRM (Customer Relationship Management), it is important to gather information on customer value. Many researches have been performed to calculate customer value based on CLV (Customer Lifetime Value). It, however, has some limitations. It is difficult to consider the churn of customers, because the previous prediction models have focused mainly on expected future cash flow derived from customers'past profit contribution. In this paper we suggest a CLV model considering past profit contribution, potential benefit, and churn probability of a customer. We also cover a framework for analyzing customer value and segmenting customers based on their value. Customer value is classified into three categories: current value, potential value and customer loyalty. Customers are segmented according to the three categories of customer value. A case study on calculating customer value of a wireless communication company will be illustrated.

• Korea Trade Review
• /
• v.47 no.1
• /
• pp.199-214
• /
• 2022

This study aims to quantify the value of origin among CPTPP and Korea, under the assumption that the 'cumulation' clause has large economic effects in multilateral FTAs and increase the possibility of improving FTA utilization. Analysing the relationship between value-added exports and FTA utilization rate, there is a positive correlation between the two variables, and the cumulation of multilateral production of CPTPP is expected to increase Korea's value-added exports. In the GTAP-VA model, the target of cumulation is calculated as 'Domestic Value Added', and all value-added of CPTPP are cumulated in the form of value added exports of exporting country. When Korea participates in CPTPP, it is possible to cumulate additional 6.3~9.6% value added, and the agreements with low FTA export utilization rates such as New Zealand, ASEAN would have greater economic effects of cumulation. For the successful implementation of CPTPP in Korea, it is necessary to develop a new origin verification system that enables multilateral value-added cumulation. It is time to seek cooperation with countries currently participating in CPTPP to prove the value added inherent in CPTPP-originating products.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.6
• /
• pp.117-132
• /
• 2023

With the recent spread of COVID-19, the size of the online shopping market continues to increase, and various online platforms are appearing in the market, and many small and medium businesses are entering the platform. As the recent increase in the use of the platform by small andmedium businesses as raised the issue of appropriate platform fees, the need for social discussions on the use of the platform and fees is raised. Currently, most discussions regarding fees primarily focus on specific cases from a negative perspective, and discussions that comprehensively consider the platform's utilization value and fees are insufficient. Therefore, this study aims to systematically and comprehensively understand platform fees by considering the value of using platform services and commission costs together. To achieve this, the economic value of each platform service was estimated and analyzed in detail. It selected two industries that are actively using online platforms, delivery services and e-commerce, and paid attention to changes in expected profits generated by sellers using platform services, and compared and analyzed expected profits based on estimated sales and costs for each scenario, such as whether sellers entered the platform and whether they used the service. As a result of the study, our results that entering the platform and using the platform service enable sales increase and cost reduction, which have a positive effect on the seller's expected profit. Through this study, we intend to understand platform fees from the perspective of user fees for platform service use and value acquisition, and based on this, estimate the economic value of platform services and fees to expand the value and cost of using platform services to a comprehensive and systematic discussion.

• The Journal of the Korea Contents Association
• /
• v.20 no.12
• /
• pp.136-144
• /
• 2020

Previous studies report that labor investment inefficiency occurs as the information asymmetry becomes severe and the agency problem between managers and external investors increases. Therefore, it is highly likely that managers will make opportunistic decisions that can damage corporate value in companies with high labor investment inefficiency. This study examines whether the value relevance of accounting information decreases as labor investment inefficiency increases as it is less likely that investors in the market use the accounting information of companies in which labor investment decisions are made inefficiently. Labor investment efficiency is measured as the difference between the actual level of labor investment and the expected level of optimal labor investment. Larger difference between the actual level of labor investment and the expected level of optimal labor investment is considered as higher inefficiency in labor investment. Using data of firms listed on the Korea Stock Exchange from 2002 to 2018, empirical results show that the value relevance of earnings decreases as the inefficiency of labor investment increases. This research provides empirical evidence on whether investment inefficiency in labor, which is an important factor in the competitiveness of a company, reduces the information usefulness of reported earnings.

• Korean Journal of Agricultural Science
• /
• v.48 no.4
• /
• pp.681-691
• /
• 2021

The estimated breeding value (EBV) and accuracy of Hanwoo steer (Korean cattle) is an indicator that can predict the slaughter time in the future and carcass performance outcomes. Recently, studies using pedigrees and genotypes are being actively conducted to improve the accuracy of the EBV. In this study, the pedigree and genotype of 46 steers obtained from livestock farm A in Gyeongnam were used for a pedigree best linear unbiased prediction (PBLUP) and a genomic best linear unbiased prediction (GBLUP) to estimate and analyze the breeding value and accuracy of the carcass weight (CWT), eye muscle area (EMA), back-fat thickness (BFT), and marbling score (MS). PBLUP estimated the EBV and accuracy by constructing a numeric relationship matrix (NRM) from the 46 steers and reference population I (545,483 heads) with the pedigree and phenotype. GBLUP estimated genomic EBV (GEBV) and accuracy by constructing a genomic relationship matrix (GRM) from the 46 steers and reference population II (16,972 heads) with the genotype and phenotype. As a result, in the order of CWT, EMA, BFT, and MS, the accuracy levels of PBLUP were 0.531, 0.519, 0.524 and 0.530, while the accuracy outcomes of GBLUP were 0.799, 0.779, 0.768, and 0.810. The accuracy estimated by GBLUP was 50.1 - 53.1% higher than that estimated by PBLUP. GEBV estimated with the genotype is expected to show higher accuracy than the EBV calculated using only the pedigree and is thus expected to be used as basic data for genomic selection in the future.

• Journal of the Korean Home Economics Association
• /
• v.29 no.2
• /
• pp.121-134
• /
• 1991

The farm housewive's labor has not been properly evaluated, although it has traditionally shared and devoted a substantial portion of the farm household economy. The objective of this study is to estimate the money value of rural women's labor. The data were got from the result of time analysis of farm housewives in 1988. Among the four estimation methods used in this study, the mixed approach of houskeeper replacement cost with individual function cost showed the greatest value in the decision criteria of different farming region, farming size, housewive's age, family size and children number. The opportunity cost approach showed the lowest value, however, is considered as the most appropriate estimation approach in rural situation in this study. It is expected that the appropriate estimation approach should be estimate the money value of rural housewive's labor and their economic position.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2012.11a
• /
• pp.113-114
• /
• 2012

With increasing awareness on sustainable construction and green buildings, environment-friendly construction activities have been introduced and promoted. Green value engineering (VE) is an effort that is recently introduced to facilitate environment-friendly construction. To support the application of green VE in construction, this paper suggests a green value assessment model considering the environmental performance and carbon emissions during construction. The value assessment model presented in this study is expected to help conduct objective value evaluation of construction activities in terms of both cost and environmental performance.

• Culinary science and hospitality research
• /
• v.24 no.2
• /
• pp.44-50
• /
• 2018

This study investigated if and why there are gulfs between expectations and perceived value for usability. The main objectives of this study are as follows: (a) to examine the differences between expectation and perceived value for usability toward an OTA; and (b) to investigate the reason and purpose for customer visits toward an OTAs. By analyzing the distance between expected and the perceived value for the usability, OTAs can then close this distance and then be able to improve the usefulness of their websites. In addition, after investigating previous evaluation problems, that the various factors that are associated with tourism website evaluations, may be downsized to fit a comprehensive model for website evaluations. The results help to close the gap between expectation and perceived value by helping with the websites design, development, implementation, and management of systems. Based on those findings, effective strategies for OTAs marketing and promotional strategies are suggested.

• Communications for Statistical Applications and Methods
• /
• v.18 no.5
• /
• pp.615-623
• /
• 2011

Several methods are used in interval estimation for binomial proportion; however the coverage probabilities of most confidence intervals depart from the confidence level when the binomial population proportion closes to 0 or 1 due to the extreme value. Vollset (1993), Agresti and Coull (1998), Newcombe (1998), and Brown et al. (2001) suggested methods to adjust the extreme value. This paper discusses the influence of extreme value in a binomial confidence interval through the numerical comparison of 6 confidence intervals.