• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.623-649
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• 2005

This study examines the underlying properties of technology valuation and empirically tests the difference in various aspects of the determinants of technology valuation in Korea. In particular, this study analyzes influential factors on the determination of economic value of a technology. For this purpose, we look into the trends of technology valuation in Korea and analyze the patterns of technology valuation in terms of intellectual property, technology area, discount rate, and contribution of technology to business value. By doing so, this paper investigates how the economic value of a technology in transfer or commercialization of technology is determined in Korea and draw implications from the process of discussion.

• STI Policy Review
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• v.4 no.2
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• pp.136-158
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• 2013

This study identifies the structural determinants of the social acceptance of genetically modified (GM) foods across European countries. Toward this end, we suggest an integrated theoretical model to explain the social acceptance of GM foods by including both perception factors (perceived benefit, perceived risk, feelings, trust, and knowledge) and value factors (ethical concerns, science optimism, religiosity, and ideology). This model is then tested by analyzing survey data collected from 18,634 Europeans in 32 countries. The results indicate that first, not only perception factors but also value factors significantly contribute to explaining the acceptance of GM foods. Second, perceived benefits, perceived risk, feelings, and ethical concerns tend to be the four biggest determinants for acceptance. Third, this two-factor model could be generalized even with variation across countries. Finally, ethical concerns and scientific optimism play a moderating role between predictors and outcomes in the acceptance of GM foods.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.05a
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• pp.76-91
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• 2005

• Journal of Korea Trade
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• v.25 no.1
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• pp.47-64
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• 2021

Purpose - This paper empirically analyzed the determinants of the online food market in Korea and Vietnam as representatives of the developed market and emerging market. The online food market can be regarded as having a high potential value. This study aims to suggest the appropriate implications for each developed market and emerging market by empirically comparing and analyzing customers' online food purchase determinants in the growth change of the online food market. Design/methodology - The empirical model of this study was established with the motif of the TAM+Trust model suggested by Nguyen et al.'s (2019) existing theoretical framework. Davis's (1989) TAM model was adopted to establish a framework related to the determinants that consumers would accept, for the online food purchasing method. Then, the trust variable is added to the framework which is regarded as an important effector especially in food related researches. In this study's comparative analysis, the multi-group structural equation modeling analysis was implemented. Findings - The main finding of this study can be summarized as that the moderating effect of nationality is significant. This means that there is an obvious difference between the developed online food market and the emerging online food market. In addition, as the growth of the online market changes, the significant determinants of consumers' attitudes and purchase intentions are somewhat different. However, the usefulness of online food purchasing methods and the trust of websites were analyzed as significant factors. Originality/value - Although the potential of the online food market is abundant, studies on the determinants of customer's attitude and purchase intention are insufficient. Moreover, comparative studies between countries have not been conducted in existing studies. Therefore, the research value of this paper can be explained in that it has suggested implications for the continued growth of the online food market.

• Communications for Statistical Applications and Methods
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• v.19 no.5
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• pp.731-741
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• 2012

The Korean film industry has grown fast since the 2000s in terms of entering the 50% market share level, the emergence of 10million box-office movies and export performance improvement; however, the earning rate of production and investment part has decreased and recorded a minus value since 2005. This article aims to find key the determinants for the success of Korean movies from 2001~2006, a period of high growth and success of the Korean film industry through a multiple regression analysis. This paper introduces new determinants such as the interaction effect of the director and lead actor as well as mass culture codes. Finally, the authors suggest some proposals to make the Korean Film Industry more profitable.

• International Journal of Contents
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• v.6 no.3
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• pp.53-58
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• 2010

This study empirically analyzes the characteristics of the various attributes of technology that influence the economic values of technologies, based on the cases of technology valuation carried out in Korea. To do so, we collect the cases of technology valuation carried out by major technology valuation institutions in Korea and extract from these data the information about various characteristics of the subject technologies of valuation and the primary factors applied to the technology valuation. Based on such extracted information, we examine the overall trends of technology valuation in Korea and analyze how the main factors of technology valuation vary with the attributes of technology.

• Journal of Energy Engineering
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• v.18 no.3
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• pp.175-190
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• 2009

This study examines the influence of scale economy, technology, financing capability and market competition on economic performance by value chain in Korean solar energy companies, using the multiple logistic regression analysis. The current profit ratio is analyzed to have been positively affected by financing capability, while negatively by market competition. The scale economy and technology are analyzed to have no statistical significance on the economic performance. The current profit ratio for companies creating higher value in the sourcing process is negatively affected by technology while positively by financial capability. The one in the manufacturing process is affected positively by technology and financing capability, and the one in the marketing process is affected positively by financing capability while negatively by market competition. The implications of this study are as follows: Korean solar energy industry is recommended i) to establish the specific innovation system for technology development, ii) to set up advanced financial system, iii) to carry out the fractal system, the manufacturing system through the network of the firms owning core competence per value chain.

• Korean Journal of Environment and Ecology
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• v.29 no.2
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• pp.292-303
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• 2015

The objective of this study is to evaluate the spatial restoration of Hampyeong Stream and to analyze the determinants of demand for the multi-functionalities of the stream. A Contingent Valuation Method (CVM) was used to estimate the multi-functional public benefits of restored stream area, and major determinants were scrutinized by establishing a demand model. The research data was collected by conducting a survey intended for Hampyeong's local residents, resulting in 284 valid samples. In terms of determinants that affect willingness to pay (WTP), 'physical factor of waterfront area' and 'experience factor of stream space' showed a significantly positive influence on WTP. As a result of applying a double-bounded CVM, the willingness to pay for the restored Hampyeong Stream area indicated a potential contribution of 22,523 won (17,362~27,459 won, 95% confidence interval). When multiplying the number of households in Hampyeong-gun, the total annual value of Hampyeong Stream spatial restoration is approximately 302million won.

• Journal of Korea Technology Innovation Society
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• v.19 no.2
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• pp.254-279
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• 2016

Recently, with the conversion towards knowledge-based economy era, the importance of the evaluation for patent valuation has been growing rapidly because technology transactions are increasing with the purpose of practically utilizing R&D outcomes such as technology commercialization and technology transfer. Nevertheless, there is a lack of research on determinants of patent valuation by analyzing technology transactions due to the difficulty of collecting data in practice. Hence, to suggest quantitative determinants for the patent valuation which could be applied to scoring methods, 15 patent valuation models domestically and overseas are analysed in order to assure the objectiveness for subjective results from qualitative methods such as expert surveys, comparison assessment, etc. Through this analysis, the important 6 common determinants are drawn and patent information is matched which can be used as proxy variables of individual determinant factors by advanced researches. In addition, to validate whether the model proposed has a statistically meaningful effect, total 517 technology transactions are collected from both public and private technology transaction offices and analysed by multiple regression analysis, which led to significant patent determinant factors in deciding its value. As a result, it is herein presented that patent connectivity(number of literature cited) and commercialization stage in market influence significantly on patent valuation. The meaning of this study is in that it suggests the significant quantitative determinants of patent valuation based on the technology transactions data in practice, and if research results by industry are systematically verified through seamless collection of transaction data and their monitoring, we would propose the customized patent valuation model by industry which is applicable for both strategic planning of patent registration and achievement assessment of research projects (with representative patents).

• Knowledge Management Research
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• v.16 no.3
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• pp.41-63
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• 2015

This paper investigated main determinants of purchase intention for VOD contents by employing an extended technology acceptance model. The findings showed that 'user activeness' is the critical external variable influencing five perceived belief variables, namely perceived usefulness, perceived playfulness, perceived quality, perceived complexity and perceived cost. Regarding consumer satisfaction for free VOD service, it had no direct effect but indirect effect on the purchase behavior, meaning that the satisfaction causes purchase intention for VOD contents via the cognitive attitude. Also, the moderating e!ect of use experience on the relationship between the belief variables and the purchase intention was confirmed. Users with much experience showed a higher perception for usefulness and quality, whereas users with less experience placed a higher value on the hedonic factors and costs. In contrast to previous studies on IPTV that mainly focused on determinant of IPTV subscription, this paper analyzed VOD that is a killer application of IPTV in identification of key factors for the acceptance. The findings provide IPTV operators some strategies to create customer value and improve profitability.