• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.31-36
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• 2020

Corporate Culture Marketing is a marketing tool that enhances a company's cultural image or conveys its image through culture. Culture Consumer value analysis is important predictive data in identifying the value and pursuit of life in individual consumption behavior, explaining the choice behavior of culture consumers, and serves as the basis for decision making. The research method was linked to the text mining and opinion mining techniques of big data, and extracted positive, negative and neutral words. The analysis targets culture consumers participating in concerts at Hyundai Card's 'Super Concert', which is subject to domestic consumers, and CJ ENM's 'KCON', which is subject to foreign consumers. The culture consumer value elements of corporate culture marketing are the basic conditions, and they were derived as 'Consensus Communication (Expression of Sensibility)', 'Participation Sharing(VIP Belonging)', 'Social Change Issue', 'Differentiating Services', 'Price Discount Benefit' and 'Location Quality'. In the future, we will need to foster 'Culture Technology Marketers' and apply them in areas such as arts management planning, cultural investment, cultural distribution, cultural space, Corporate Culture, CSR and K-pop marketing to enhance corporate interests and brand value and enhance brand value.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.97-117
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• 2021

Predicting term deposit subscriptions is one of representative financial marketing in banks, and banks can build a prediction model using various customer information. In order to improve the classification accuracy for term deposit subscriptions, many studies have been conducted based on machine learning techniques. However, even if these models can achieve satisfactory performance, utilizing them is not an easy task in the industry when their decision-making process is not adequately explained. To address this issue, this paper proposes an explainable scheme for term deposit subscription forecasting. For this, we first construct several classification models using decision tree-based ensemble learning methods, which yield excellent performance in tabular data, such as random forest, gradient boosting machine (GBM), extreme gradient boosting (XGB), and light gradient boosting machine (LightGBM). We then analyze their classification performance in depth through 10-fold cross-validation. After that, we provide the rationale for interpreting the influence of customer information and the decision-making process by applying Shapley additive explanation (SHAP), an explainable artificial intelligence technique, to the best classification model. To verify the practicality and validity of our scheme, experiments were conducted with the bank marketing dataset provided by Kaggle; we applied the SHAP to the GBM and LightGBM models, respectively, according to different dataset configurations and then performed their analysis and visualization for explainable term deposit subscriptions.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.97-106
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• 2021

The issue of controlling police corruption is very important that in terms of public services where police administration is in direct contact with citizens. In this study, individual, organizational, cultural, and legislative factors are classified as independent factor variables that contribute to police corruption, and the effect of these corruption factors on the level of police corruption, and the role of occupational identity and organizational citizenship behavior of police offices in this relationship are analyzed. A survey is conducted on the public citizens for empirical analysis of this study. The results of the empirical analysis are as follows: First, organizational, cultural factors and legal-legislative factors have negative influence on the occupational identity. Second, legislative factors has negative influence on organizational citizenship behavior. Third, organizational, cultural and legislative factors have positive effects on police corruption. Finally, in terms of the effect of corruption factors on organizational citizenship behavior through occupational identity, organizational, cultural and legal-legislative factors had negative mediating effect on it.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.1-13
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• 2019

The purpose of this study is to examine the main features of South Korea's New Northern Policy and to make some suggestions for cooperation with neighboring countries' initiatives. The New Northern Policy encompasses the whole of Eurasia, but the starting development area would be the border region of the Korean Peninsula. In this viewpoint, this study examines the Belt and Road Initiative of China, the New Eastern Policy of Russia and the Steppe Road Initiative of Mongolia, and presents the characteristics, problems and some implementation strategies of the New Northern Policy. Apart from the future possibilities of the regional cooperations that include North Korea, it would be necessary for South Korea to secure and expand the possible opportunities for "Korea-China-Mongolia-Russia" cooperation. In order to create a close cooperative environment with North Korea in the future, it would also be necessary to build a maritime route, with port development around major border regions on the Korean Peninsula, including Russia, and to develop the port-railway intermodal transportation system with neighboring countries. South Korea need to actively cooperate with neighboring countries to develop the new Eurasia logistics routes would be more favorable to the Korean Peninsula in preparation for the time when the North Korean nuclear issue will be resolved.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.365-374
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• 2019

Unlike benign tumors, malignant tumors are capable of metastasis, easy to relapse, poor survival, and low quality of life. In Korea, here is a tendency to treat the tumors collectively according to the General Principles of Cancer Chemotherapy(GPCC) of the Health Insurance Review & Assessment Service (HIRA). But recently, companion diagnostics(CDx) is recommended rather than unilateral medication because biomarker-based molecular diagnostics is possible to predict the drug response of patients before drug treatment. Not only domestic but also overseas Food and Drug Administratio (FDA) recommends the development of the CDx system at the stage of drug development to ensure the responsiveness and safety of medicines. In this study, I focused on the necessity of CDx development direction as well as CDx development status through literature review. Furthermore I also discussed CDx types according to the molecular diagnostic technology such as immunohistochemistry (IHC), polymerase chain reaction (PCR), in situ hybridization (ISH), and next-generation sequencing (NGS) not only in the approved CDx but also in the developing one by US FDA. And I suggested the technology issue of CDx development process such as a selection of molecular diagnostics at the time of release, a clear understanding of the CDx mechanism, and a convergence of drug with CDx development. The necessity of social insurance system also was proposed for CDx development.

• Journal of Technology Innovation
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• v.27 no.1
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• pp.45-77
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• 2019

The balance between exploration for new possibility and exploitation for existing certainty is an important issue in strategy, innovation, R&D as well as organization learning. Among the convergence trends of technologies, many firms seek to have the wider technological knowledge assets and the deeper technology capabilities for the sustainable competitive advantage at the same time. While firms plan technology portfolio strategies, they should consider the attribute of the technology. Nanotechnology, a cutting-edge technology, is a general purpose technology, unlike conventional product-oriented technologies. This empirical study was focused on how multi-national firms' exploration and exploitation strategies for nanotechnology affect their innovative and financial performance. It uses multiple regression analysis on panel data. This result shows that the more diversified and specialized nanotechnology as platform technology is positively related to their innovative and financial performance, unlike the research results for product-oriented technologies. In addition, exploratory innovation is more effective to firm performance than exploitation. This implies how global firms can manage effectively platform technology strategies under the constraints of resources.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.239-247
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• 2019

An accurate prediction of emotion is a very important issue for the sake of patient-centered medical device development and emotion-related psychology fields. Although there have been many studies on emotion prediction, no studies have applied the heart rate variability and neuro-fuzzy approach to emotion prediction. We propose ANFEP(Adaptive Neuro Fuzzy System for Emotion Prediction) HRV. The ANFEP bases its core functions on an ANFIS(Adaptive Neuro-Fuzzy Inference System) which integrates neural networks with fuzzy systems as a vehicle for training predictive models. To prove the proposed model, 50 participants were invited to join the experiment and Heart rate variability was obtained and used to input the ANFEP model. The ANFEP model with STDRR and RMSSD as inputs and two membership functions per input variable showed the best results. The result out of applying the ANFEP to the HRV metrics proved to be significantly robust when compared with benchmarking methods like linear regression, support vector regression, neural network, and random forest. The results show that reliable prediction of emotion is possible with less input and it is necessary to develop a more accurate and reliable emotion recognition system.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.117-122
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• 2019

This paper aims to investigate ideological preferences of news media outlets by looking at the news coverage of North Korea-Russia summit in April, 2019. The meeting has gained attention in South Korea, China, Japan and America in that the historical meeting will reflect the future direction for denuclearization on the Korean peninsular and the peace in the world. Given this, in particular, a special attention is paid to the editorials and headlines of news articles reported in two Korean quality newspapers, DongA Ilbo and Hankyoreh because both are quality newspapers, but are ideologically different. To achieve objectivity and fairness, the same issues dealt with during the summit were compared and analyzed within Martin and White (2005)'s Appraisal framework. As a result, it was found that in editorials of DongA Ilbo showed a negative stance to the summit by employing the 'attitude' factor, whereas the Hankyoreh was overwhelmingly positive toward the issue, also by employing the 'attitude' factor. The political stance is likely to be in line with those shown in the headlines of news articles from each newspaper. That is, it is clear that each news outlet shows its ideological stances to news consumers through linguistic expressions, in that both editorials and the headlines of news articles express their political preferences to the summit by means of linguistic appraisals.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.249-262
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• 2021

It is believed that there will be changes in the behavior of members according to the characteristics of the organization's leader. The purpose of this study is to find out the factors that induce changes in the behavior of employees of the organization through empirical research. In order to accomplish the research aims, we developed and verify the research model using authentic leadership as an independent variable and the innovative behavior as a criterion variable. In addition, by using the silent phenomenon of the members as a mediating variable, we also tried to find out how it affects the behavior of the employees. Empirical results of the study showed that authentic leadership as an independent variable had a direct influence on the innovation behavior of employees, and the mediating effect of silence also had a partial mediating effect. These findings suggest that leadership and Silence factors which are internal motivational factors leading to behavior of employees are affected innovative behavior. There are some expectations as follow. Based on this study, it would be an important issue that the study on the necessity of silence management of employees through research on the causes of silence felt by members of the organization and the influence.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.385-391
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• 2022

Quality evaluation of beef carcasses is an important issue in the livestock industry. Recently, through the AI monitor system based on artificial intelligence, the quality manager can receive help in making accurate decisions based on the analysis of beef carcass images or result information. This artificial intelligence dataset is an important factor in judging performance. Existing datasets may have different surface orientation or resolution. In this paper, we proposed a two-stage classification model that can efficiently manage the grades of beef carcass image using deep learning. And to overcome the problem of the various conditions of the image, a new dataset of 1,300 images was constructed. The recognition rate of deep network for 5-grade classification using the new dataset was 72.5%. Two-stage evaluation is a method to increase reliability by taking advantage of the large difference between grades 1++, 1+, and grades 1 and 2 and 3. With two experiments using the proposed two stage model, the recognition rates of 73.7% and 77.2% were obtained. As this, The proposed method will be an efficient method if we have a dataset with 100% recognition rate in the first stage.