• Journal of Korea Technology Innovation Society
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• v.8 no.1
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• pp.29-50
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• 2005

Real options provide a new and productive way to view corporate r&d investment decisions. DCF approach is well established and beloved of financial executives, but is known to systematically underestimate investment value under significant uncertainty. Though real options are not inherent in a r&d investment, they can be used to compute the investment value including managerial flexibility like option value. In this paper, we explain how the interval of option value in black-scholes model can be estimated using simulation. We also present a process framework for interval estimation of volatility and efficient of period of investment value. In such a setting, we can obtain the appropriate interval estimation of the expanded investment value.

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.60-67
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• 2010

The purposes of this study were to investigate the impacts of shopping value, customer satisfaction, and switching barrier on consumer loyalty to website. For this purpose, the study tested covariance structural model which set relationships among independent variable(shopping value), meditated variables(customer satisfaction and switching barrier), and dependent variable(website loyalty). The data were collected from a sample of 239 internet shopper of college female students. The covariance structural model and research hypothesis analyzed by using SPSS 16.0 and AMOS 5.0 program. The results are as follows: First, the structural model is accepted significantly. Second, shopping value had a positive influence on customer satisfaction and switching barrier. Third, shopping value, shopping satisfaction of customer, and switching barrier had a positive impact on website loyalty. Forth, shopping value had a positive impact on website loyalty directly, it was found to have a indirect effect on website loyalty through customer satisfaction and switching barrier.

• World Technopolis Review
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• v.8 no.2
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• pp.82-91
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• 2019

The value of universities in driving economic development has been understood for a long time. However, with the increasing importance of the 'science-entrepreneurship' relationship in giving science its modern economic value there is growing interest in how this dynamic can be enhanced. One of the strategies that has been widely adopted has been the creation of research-science-technology parks although commonly these projects were being established prior to the theoretical approaches that justify their development. This paper reports on a study that measured the financial value of the links between the University of Surrey and tenants on its Surrey Research Park project and also looks forward at strategies being adopted by the University concerning the continuous improvement of its technology transfer offering to increase the value of these links and put some empirical data behind the claims of the value of research-science-technology parks as part of a wider innovation strategy.

• Journal of Integrative Natural Science
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• v.5 no.3
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• pp.157-162
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• 2012

Measurement error is one of main source of error in survey. It is generally defined as the difference between an observed value and an underlying true value. An observed value with error may be expressed as a function of the true value plus error term. In some cases, the measurement error variance may be also a function of the unknown true value. The error variance function can be rewritten as a function of true value multiplied by a scale factor. This research explore methods for estimation of the measurement error variance based on the data from complex sampling design. We consider the case in which the variance of mesurement error is a linear function of unknown true value, and the error variance scale factor is small. We applied our results to the U.S. Third National Health and Nutrition Examination Survey (the U.S. NHANES III) data for empirical analyses, which has replicate measurements for relatively small subset of initial respondents's group.

• Journal of Korean Society of Forest Science
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• v.99 no.6
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• pp.900-907
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• 2010

Recreation forests are offer to personal development through recreation, education about nature, association with people, mind relaxation in forests. Most efficient method for measuring Recreational value of natural forest is economic approach, and Obtained by this approach, visitors to the recreational forests and other people will be able to explain recreational value. The value of the environment goods are not traded in the market, it's real value is difficult to measure. People have appreciated the value of the natural environment but it is not easy to answer the question how much monetary value a natural enjoy prosperity environment. This study is involved in giving the right recognition to the value of recreation and environment by estimating economically the value of the environment in which visitors stay, and presenting the appropriate price. The environmental value of a recreation forests is estimated through contingent valuation method (CVM). The annual recreation value per person of surveyed recreational forests is WTP with a mean between about \14,000 and 16,500. The recreation value of one recreational forest surveyed is annually between approximately 1.2 billion won and 1.4 billion won. The annual recreation value of Chungbuk Province recreation forests is presumed to be between about 15 billion won and 16.9 billion won.

• Korean Management Science Review
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• v.20 no.2
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• pp.135-149
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• 2003

Developing a proper program for customer evaluation is one of the most imminent tasks to implement CRM (Customer Relationship Management). Design of the Customer Value model is an important key to the customer evaluation progrgm. This paper proposes two models for estimating Customer Value. The first one is a Description Model for Customer Value based on customer CSI (Customer Satisfaction Index) data. This model represents as quantitative numbers what customers feel from the company or the service. The second one is a Prediction Model which employs factor analysis and regression to predict customer value. This paper exploits the two models to evaluate Customer Value as well as for customer behavior prediction.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.1
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• pp.136-142
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• 2007

This study measured the causal relationships among tourist-perceived sacrifice, service quality, service value, and behavioral intention of employee's service. A total of 224 questionnaires were completed. The equation model was used to measure the causal effect. The results demonstrated that the structural analysis result for the data was an excellent model fit. The influences of perceived value and service quality on service value were statistically significant. As expected, service quality and service value had significant effects on behavioral intention. Moreover, overall service quality played a mediating role in the relationship between perceived sacrifice and service value. Service value played a mediating role in the relationship between service quality and behavioral intention.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.113-130
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• 2019

Data can be considered a core driver of the Fourth Industrial Revolution, and databases are needed to create value by efficiently obtaining, storing and analyzing the data. However, there are currently no adequate valuation methods to handle databases. This study aims first, to understand databases as the subject of valuation and analyze value drivers of databases, and second, to propose a database valuation model based on this finding. To this end, we derive value drivers of databases from the characteristics and value criteria of databases observed in previous studies. Based on survey data from 396 database service firms we verify the value drivers through linear regression analysis. We find that the annual growth rate in database capacity and the data types positively affect sales of databases and offer ways to utilize them when estimating the cash flow, which is the variable to apply the discounted cash flow method-based income approach. This study contributes empirical insights into how to valuate databases considering their value drivers.

• The Korean Journal of Franchise Management
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• v.6 no.2
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• pp.105-122
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• 2015

This study was to investigate the impact of environment characteristics on perceived value and visit intention in franchise coffee shops. And, the study was to examine the mediating role of perceived value in the relationship between environment characteristics and visit intention. The data were collected from 212 coffee shop users and analyzed with SPSS and AMOS.. The findings are as follows. First, price, service, and atmosphere have a significant effect on the defined hedonic value but menu does not. Second, price and service have a significant effect on utilitarian value but menu and atmosphere do not. Finally, both hedonic value and utilitarian value have a significant effect on visit intention.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.2
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• pp.257-270
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• 2015

This study investigates the effect of perceived value on attitude and purchase intention of upcycling fashion goods. The study also examines the effect of perceived value on attitudes according to fashion innovativeness. The qualitative data analysis results from NVivo 10.0 showed that consumers paid attention to the creative design value, environmental value, scarcity value of upcycling fashion goods. Next, 201 effective questionnaires were analyzed using SPSS 22.0 and AMOS 20.0. The results are as follows. First, there were 5 factor solutions for the perceived value of up-cycling fashion goods: environmental value, creative design value, functional value, emotional value, and self-expression value. Second, environmental value, functional value, and self-expression value positively affected attitude; however, creative design value and emotional value did not affect attitude. Third, attitude positively influenced purchase intention of upcycling fashion goods. Fourth, there was a significant difference in the magnitude of the effect of self-expression value on attitude according to fashion innovativeness. The results of this study provide useful information for marketers or managers interested in upcycling fashion goods.