• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.245-267
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• 2008

This study is to develope a user-based economic valuation methodology and model for the economic analysis on the DDS of foreign journals. For this study, the sampling data on the annual subscribed journals by K institution was used and the online questionnaire was used to collect data. There are three aspects of the economic value of DDS journals was classified as use value, non-use value, and expectancy value. We suggested the income and market approach to measure its economic use value. To estimate the its value by individual users, this study applied a contingent valuation method and designed the imaginary scenarios.

• The Journal of Economics, Marketing and Management
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• v.9 no.4
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• pp.1-8
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• 2021

Purpose: This study empirically investigates what factors contribute to corporate value in the Korea New Exchange (KONEX) market and determines whether financial constraints contribute any effect on it. Research design, data and methodology: A fixed-effect panel regression model was utilized to analyze financial constraints on firm value for KONEX listed firms through the fiscal period from 2013 to 2020. Results: we find that firms' research and development, volatility, size, and sales growth give significant impacts to firm value, but the significance and direction are different. In addition, no significant relationship exists between the largest shareholder's equity ratio and firm value in all models. The debt-to-equity ratio did not show a significant relationship with corporate value. A significant negative relationship was found between R&D and corporate value in the entire sample. Volitility exhibited a positive relationship with corporate value in the entire sample and financially unconstrained companies. Firm size presented a significant negative relationship with company value in all models. Sales growth showed a significant negative relationship with corporate value in financially constrained companies. Conclusions: No difference is found between financially constrained and unconstrained companies in the KONEX market. We can infer that KONEX companies have a large difference with KOSPI or KOSDAQ. Further analysis is needed on the differences among these markets.

• Journal of Distribution Science
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• v.13 no.12
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• pp.73-84
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• 2015

Purpose - Various social issues have arisen since the beginning of the 21st century therefore, enterprises that disregarded social issues have become unsustainable, and social enterprises have appeared to address these issues. A social enterprise is a social mission-focused organization that uses a market-based strategy and has a vulnerable business structure. To be self-sustainable, a social enterprise should make consumers aware of the value that it provides and secure its profitability through consumer consumption. From this perspective, this study investigates the relationship between perceived value (utilitarian and hedonic) and loyalty, and examines how memory and attitudes play mediating roles between perceived value and loyalty. For these purposes, the author developed a structural model consisting of several variables. In this model, perceived value, which was utilitarian and hedonic, was proposed to affect the memory and attitudes toward social enterprise products, thus increasing loyalty. Therefore, memory and attitudes were proposed as core mediating variables between perceived value and loyalty. Research design, data, and methodology - To analyze the proposed model, data were collected from 582 respondents and analyzed using SPSS 21.0 and AMOS 21.0. To test unidimensionality and the nomological validity of the measures of each construct, we employed a scale refinement procedure. The results of the reliability test with Cronbach's α and confirmatory factor analysis warranted the unidimensionality of the measures for each construct. In addition, the nomological validity of the measures was warranted from the results of the correlation analysis. The result of the overall model analysis demonstrated a good fit (χ²=529.881, df=144, χ²/df=3.680, p-value=0.000, GFI=0.905, NFI=0.948, CFI=0.961, RMR=0.036, RMSEA=0.068). Results - The findings are summarized as follows. First, the hedonic and utilitarian value of social enterprise products had positive effects on memory and attitudes. Second, the hedonic value of social enterprise products more strongly affects memory and attitudes than utilitarian value. Third, memory and attitudes had positive effects on loyalty. Lastly, memory had a stronger effect on loyalty than attitudes. Conclusions - The purchase rate of social enterprises' products increases only if the products are included in the "information search" and "alternative evaluation" processes in consumers' purchase decision-making processes. Therefore, a social enterprise must actively promote the fact that it pursues a social value, and shares both the hedonic and utilitarian values of its products. Accordingly, because hedonic value has a more significant impact on a company and attitudes, a social enterprise should develop hedonic values for product consumption, thereby leading consumers who care about value consumption to purchase its products. Moreover, a social enterprise must maintain good memories and attitudes for consumers because memory does not change over time, although attitude does. The limitations of this study and suggestions for future research are as follows. This study viewed "consumer loyalty" as the success factor of social enterprises, thereby considers an "increase in sales" as the success factor. Therefore, in future studies, diverse factors, including social contribution and word-of-mouth intention, should be regarded. In addition, future studies need to thoroughly review and make assurances about the relationship between memory and attitude.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.159-168
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• 2019

The purpose of this study is to propose a strategy for creating an advertisement for Corporate Social Responsibility(CSR) based on the strategy of selecting an advertisement model in order to efficiently execute the advertisement of CSR. Data were analyzed by regression analysis. The results of this study are as follows: First, it is found that the value-relevance factors of the model are important regardless of the theme of CSR. In the economic field, the reliability of the model is important. But, the attractiveness of the model was more important in the environmental field. Second, it is effective to select a model with high value-relevance when selecting CSR advertising model. But, in the case of an expert, it is effective to select not only value addition, but also attractive and reliable models. Third, when producing CSR ads using emotional messages, it is important to consider the value and reliability of the advertising model. But, it is important to select the model considering the importance of the value and attractiveness of the advertisement model when producing the CSR advertisement using the informational message. It was found that it is very important to select a model that has a high relevance to the image of the social responsibility subject and the advertisement model when producing the social responsibility advertisement.

• Journal of Service Research and Studies
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• v.14 no.1
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• pp.27-43
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• 2024

The market share of online platform services in the used car market continues to expand. And The used car online platform service provides service users with specifications of vehicles, accident history, inspection details, detailed options, and prices of used cars. SUV vehicle type's share in the domestic automobile market will be more than 50% in 2023, Sales of Hybrid vehicle type are doubled compared to last year. And these vehicle types are also gaining popularity in the used car market. Prior research has proposed a used car price prediction model by executing a Machine Learning model for all vehicles or vehicles by brand. On the other hand, the popularity of SUV and Hybrid vehicles in the domestic market continues to rise, but It was difficult to find a study that proposed a used car price prediction model for these vehicle type. This study selects a used car price prediction model by vehicle type using vehicle specifications and options for Sedans, SUV, and Hybrid vehicles produced by domestic brands. Accordingly, after selecting feature through the Lasso regression model, which is a feature selection, the ensemble model was sequentially executed with the same sampling, and the best model by vehicle type was selected. As a result, the best model for all models was selected as the CBR model, and the contribution and direction of the features were confirmed by visualizing Tree SHAP Value for the best model for each model. The implications of this study are expected to propose a used car price prediction model by vehicle type to sales officials using online platform services, confirm the attribution and direction of features, and help solve problems caused by asymmetry fo information between them.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.275-285
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• 2008

The "logistics industry" is recommended as an economic growth power in the future in Korea. In the past, Korea has handled China's freight volume overflow as a transfer hub. However, recently China has been constructing its own port facilities and many mega fleets have been moving to China's ports. As a result, the position of Korea's hub-ports facing a crisis. Now, new strategies are necessary for renovating Korea's logistics industry and international competitiveness. This study proposes a "value-added logistics cluster" as a new strategy. In particular, this study proposes a Korean value-added logistics cluster that maximizes Korea's locational and industrial advantages. Additionally, a model for a value-added logistics cluster is proposed for the rehabilitation of Korea's ports as logistics hubs in Northeast Asia. Many analyses are executed step-by-step to develop a Korean value-added logistics cluster model, such as an analysis of the relationship between the logistics industry and other industries for the definition of cluster components. Lastly, the Korean value-added logistics cluster model is applied to Kwangyang port, which is currently confronted with a crisis because of the decrease of freight volume.

• The Journal of Bigdata
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• v.5 no.2
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• pp.215-229
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• 2020

The interest in machine learning is growing in all industries, but it is difficult to apply it to real-world tasks because of inexplicability. This paper introduces a case of developing a financial customer churn prediction model for a securities company, and introduces the research results on an attempt to develop a machine learning model that can be explained using the SHAP Value methodology and derivation of interpretability. In this study, a total of six customer churn models are compared and analyzed, and the cause of customer churn is inferred through the classification and data analysis of SHAP Value and the type of customer asset change. Based on the results of this study, it would be possible to use it as a basis for comprehensive judgment, such as using the Value of the deviation prediction result that can infer the cause of the marketing manager's actual customer marketing in the future and establishing a target marketing strategy for each customer.

• Proceedings of the Korea Society for Simulation Conference
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• 2004.05a
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• pp.109-117
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• 2004

In this paper, we consider the aortic sinus baroreceptor, which is the most representative baroreceptor sensing the variance of pressure in the cardiovascular system, and propose heart activity control model to observe the effect of delay time in heart period and stroke volume under the regulation of baroreflex in the aortic sinus. The proposed heart activity baroreflex regulation model contains electric circuit sub-model. We constituted the time delay sub-model to observe sensitivity of heart activity baroreflex regulation model by using the variable value to represent the control signal transmission time from the output of baroreflex regulation model to efferent nerve through central nervous system. The simulation object of this model is to observe variability of the cardiovascular system by variable value in time delay sub-model. As simulation results, we observe three patterns of the cardiovascular system variability by the time delay, First, if the time delay over 2.5 second, aortic pressure and stroke volume and heart rate is observed nonperiodically and observed. Finally, if time delay under 0.1 second, then heart rate and aortic pressure-heart rate trajectory is maintained in stable state.

• Journal of Environmental Impact Assessment
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• v.12 no.4
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• pp.271-279
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• 2003

Temperature and humidity forecasting have been performed using artificial neural networks model(ANN). We composed ANN with multi-layer perceptron which is 2 input layers, 2 hidden layers and 1 output layer. Back propagation algorithm was used to train the ANN. 6 nodes and 12 nodes in the middle layers were appropriate to the temperature model for training. And 9 nodes and 6 nodes were also appropriate to the humidity model respectively. 90% of the all data was used learning set, and the extra 10% was used to model verification. In the case of temperature, average temperature before 15 minute and humidity at present constituted input layer, and temperature at present constituted out-layer and humidity model was vice versa. The sensitivity analysis revealed that previous value data contributed to forecasting target value than the other variable. Temperature was pseudo-linearly related to the previous 15 minute average value. We confirmed that ANN with multi-layer perceptron could support pollutant dispersion model by computing meterological data at real time.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.187-199
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• 2022

The purpose of this study was to offer a new conceptual framework based on a combination of the TPB model, the TAM model, and two additional constructs consisting of eWOM and pricing value called the E-P-TAM-TPB model, and to assess the model's implications on hotel selection behavior. This study empirically examines the E-P-TAM-TPB model to evaluate and validate domestic tourists' online hotel booking intentions by using the partial least squares structural equation modeling (PLS-SEM) approach. The data was collected from 355 domestic tourists who booked the room via the hotel website. The major findings of this study indicated that the E-P-TAM-TPB model has a positive significant influence on online hotel selection behavior. The results revealed that all proposed hypotheses were declared supported. Future studies should build on the framework by incorporating potential moderators to better understand how different groups of customers behave online in different segments of the hospitality industry. Managers must not only develop an easy booking process but also provide price value information to attract or impress clients. Tourists can compare room rates with other hotel websites and OTAs.