• Journal of Korean Institute of Industrial Engineers
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• v.41 no.2
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• pp.150-161
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• 2015

This paper proposes a new approach to technology valuation, the market-replacement cost approach which integrates the cost-based approach and market-based approach. The proposed approach estimates the market-replacement cost of a target technology using R&D costs of similar R&D projects previously conducted. Similar R&D projects are extracted from project database based on document similarity between project proposals and technology description of the target technology. R&D costs of similar R&D projects are adjusted by mirroring the rate of technological obsolescence and inflation. Market-replacement cost of the technology is then derived by calculating the weighted average of adjusted costs and similarity values of similar R&D projects. A case of "Prevention method and system for the diffusion of mobile malicious code" is presented to illustrate the proposed approach.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.337-346
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• 1999

In this paper, we propose the rough set approach to extract trading rules able to discriminate between bullish and bearish markets in stock market. The rough set approach is very valuable to extract trading rules. First, it does not make any assumption about the distribution of the data. Second, it not only handles noise well, but also eliminates irrelevant factors. In addition, the rough set approach appropriate for detecting stock market timing because this approach does not generate the signal for trade when the pattern of market is uncertain. The experimental results are encouraging and prove the usefulness of the rough set approach for stock market analysis with respect to profitability.

• Journal of Fashion Business
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• v.6 no.5
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• pp.125-135
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• 2002

The purpose of this study was to investigate the present state of e-business according to the establishment year and the sales approach of Dongdaemun clothing market and to present problems according to e-business activation of it and its developmental direction. The subjects for this study were selected out of Dongdaemun clothing markets being considered as more fashion-oriented markets and were divided into two categories both according to the establishment year and according to the sales approach. As a result, Dongdaemun clothing markets are mainly divided into traditional wholesale market, eastern wholesale & retail market, and western retail market and having dealings with each other according to the market's characteristics. The utility percentage of on-line e-business according to the establishment year and the sales approach showed that traditional wholesale market was 42%, eastern wholesale & retail market 0.75%, and western retail market 11%. This result indicated that the utility percentage of traditional wholesale market showed much higher than eastern wholesale & retail market and western retail market. This would be because the structural characteristics of clothing market delayed the utility of e-business. For the problems on the utility of on-line e-business through counselling, traditional wholesale market showed much higher than wholesale & retail market and retail market because it had little problems on design imitation in retail market due to export by order and mass production. The problems of low utility of on-line e-business in Dongdaemun clothing market would result from well-timed on-line update according to rapid goods cycle, constant satisfaction for additional order, standardization of size and quality, and inexpensive internet purchase despite of express expense.

• Asia Marketing Journal
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• v.14 no.2
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• pp.157-176
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• 2012

Brand switching data frequently used in market structure analysis is adequate to analyze non- durable goods, because it can capture competition between specific two brands. But brand switching data sometimes can not be used to analyze goods like automobiles having long term duration because one of main assumptions that consumer preference toward brand attributes is not changed against time can be violated. Therefore a new type of data which can precisely capture competition among durable goods is needed. Another problem of using brand switching data collected from actual purchase behavior is short of explanation why consumers consider different set of brands. Considering above problems, main purpose of this study is to analyze market structure for durable goods with consideration set. The author uses exploratory approach and latent class clustering to identify market structure based on heterogeneous consideration set among consumers. Then the relationship between some factors and consideration set formation is analyzed. Some benefits and two demographic variables - age and income - are selected as factors based on consumer behavior theory. The author analyzed USA automotive market with top 11 brands using exploratory approach and latent class clustering. 2,500 respondents are randomly selected from the total sample and used for analysis. Six models concerning market structure are established to test. Model 1 means non-structured market and model 6 means market structure composed of six sub-markets. It is exploratory approach because any hypothetical market structure is not defined. The result showed that model 1 is insufficient to fit data. It implies that USA automotive market is a structured market. Model 3 with three market structures is significant and identified as the optimal market structure in USA automotive market. Three sub markets are named as USA brands, Asian Brands, and European Brands. And it implies that country of origin effect may exist in USA automotive market. Comparison between modal classification by derived market structures and probabilistic classification by research model was conducted to test how model 3 can correctly classify respondents. The model classify 97% of respondents exactly. The result of this study is different from those of previous research. Previous research used confirmatory approach. Car type and price were chosen as criteria for market structuring and car type-price structure was revealed as the optimal structure for USA automotive market. But this research used exploratory approach without hypothetical market structures. It is not concluded yet which approach is superior. For confirmatory approach, hypothetical market structures should be established exhaustively, because the optimal market structure is selected among hypothetical structures. On the other hand, exploratory approach has a potential problem that validity for derived optimal market structure is somewhat difficult to verify. There also exist market boundary difference between this research and previous research. While previous research analyzed seven car brands, this research analyzed eleven car brands. Both researches seemed to represent entire car market, because cumulative market shares for analyzed brands exceeds 50%. But market boundary difference might affect the different results. Though both researches showed different results, it is obvious that country of origin effect among brands should be considered as important criteria to analyze USA automotive market structure. This research tried to explain heterogeneity of consideration sets among consumers using benefits and two demographic factors, sex and income. Benefit works as a key variable for consumer decision process, and also works as an important criterion in market segmentation. Three factors - trust/safety, image/fun to drive, and economy - are identified among nine benefit related measure. Then the relationship between market structures and independent variables is analyzed using multinomial regression. Independent variables are three benefit factors and two demographic factors. The result showed that all independent variables can be used to explain why there exist different market structures in USA automotive market. For example, a male consumer who perceives all benefits important and has lower income tends to consider domestic brands more than European brands. And the result also showed benefits, sex, and income have an effect to consideration set formation. Though it is generally perceived that a consumer who has higher income is likely to purchase a high priced car, it is notable that American consumers perceived benefits of domestic brands much positive regardless of income. Male consumers especially showed higher loyalty for domestic brands. Managerial implications of this research are as follow. Though implication may be confined to the USA automotive market, the effect of sex on automotive buying behavior should be analyzed. The automotive market is traditionally conceived as male consumers oriented market. But the proportion of female consumers has grown over the years in the automotive market. It is natural outcome that Volvo and Hyundai motors recently developed new cars which are targeted for women market. Secondly, the model used in this research can be applied easier than that of previous researches. Exploratory approach has many advantages except difficulty to apply for practice, because it tends to accompany with complicated model and to require various types of data. The data needed for the model in this research are a few items such as purchased brands, consideration set, some benefits, and some demographic factors and easy to collect from consumers.

• Journal of Distribution Research
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• v.10 no.3
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• pp.87-101
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• 2005

Market segmentation has been an important issue in marketing for a long time. Many models and statistical methods have been developed by many scholars. The purpose of this research provides one insight for market segmentation based on clustering technique in channel benefit sought. We proposed a sequential approach in market segmentation. A sequential approach means that we do market segmentation by multi-stage method based on the benefits sought in marketing channel. To achieve this approach, we divided the main benefits sought into subcategories. That is to say, after dividing each benefit sought into more detailed concepts, we did market segmentation sequentially.

• Asian Journal of Innovation and Policy
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• v.2 no.1
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• pp.97-122
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• 2013

This study secured comparable sales transaction information of technology transfer corresponding to an active market conditions and proposes a method to assess the similarity of technologies with regard to comparability of technology transfer based on these cases information. In order to analyze the association and similarity between target technology and sales transactions, it proposes the significant factors affecting royalty decision and the cosine coefficient method by industry categories. It also proposes the method to adjust royalty, which means that this method unlike the conventional method provides clear standards to valuators in order to revise royalty. Therefore, it offers a solution to the difficulties of applying the market approach for a lot of valuators that have wanted to apply it and objective method to enhance the reliability of the value of intangible asset evaluated by the market approach.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.204-231
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• 2015

This study aims to present a conceptual model for technology valuation based on market approach. We first propose a transition model in which technology itself is endowed with its intrinsic value based on its technology- and market-specific features, which subsequently goes through a transition to the market perceived value. We also discuss the model's logical validity. Based upon the transition model, we develop market approach based technology valuation models by identifying factors comprising each component of the transition model for each case of fixed royalty and running royalty. We also show that the proposed model can be used to describe the relationship between cost, income and market approaches for technology valuation.

• Journal of the Korean Society for Railway
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• v.16 no.5
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• pp.439-446
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• 2013

The market taxonomy approach may lead to the most effective strategy to promote the export of Korean Railway Systems. By prioritizing opportunities in the global marketplace and subsequently identifying market segments, this approach will reveal the most effective market strategies for Korean rail exporters. This study suggests the market potential index. In addition, it also introduces how market segmentation should be done for the global rail supply market. Applying the market taxonomy to derive strategic implications, this study portrays several export projects currently being undertaken by the Korean rail industry.

• KIEE International Transactions on Power Engineering
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• v.5A no.2
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• pp.193-198
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• 2005

This paper proposes a new method to handle transmission line losses using loss distribution factors (LDF) rather than marginal loss factors (MLF) in electricity market operation. Under a competitive electricity market, the bidding data are adjusted to reflect transmission line losses. To date the most proposed approach is using MLFs. The MLFs are reflected to bidding prices and market clearing price during the trading and settlement of the electricity market. In the proposed algorithm, the LDFs are reflected to bidding quantities and actual generations/ loads. Computer simulations on a 9-bus sample system will verify the effectiveness of the algorithm proposed. Moreover, the proposed approach using LDFs does not make any payments residual while the approach using MLFs induces payments residual.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.459-468
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• 2007

The u-City construction project has become a hot topic in the construction market because it seems economic value-added field for construction firms. However, construction firms don't willingly participate in the u-City construction market because environments of the future business for the u-City are very uncertain. Scenario planning is a very powerful method in managing this uncertain planning situation and is based on scenarios that help each enterprise appropriately adapt itself to its own business environments. Therefore it is based on the main principles of systems thinking and multiple futures. For the purpose of dealing with such uncertainties, this paper attempts to develop the possible market scenarios of the u-City construction market in S.Korea through a scenario planning approach. From this perspective, we considered various aspects of the u-City construction such as market demands, technology development, policy level and management environment. After considering the relevant issues, we identified the main trends and key uncertainties. Finally, we developed three coherent u-City construction market scenarios. Construction firms can use these scenarios as a basic reference for market analysis and business strategy. Therefore, this paper is able to enhance the participation of construction firms in the u-City construction market.