• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.154-163
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• 2017

Collaborative filtering, one of the most widely used techniques to build recommender systems, is based on the idea that users with similar preferences can help one another find useful items. Credit card user behavior analytics show that most customers hold three or less credit cards without duplicates. This behavior is one of the most influential factors to data sparsity. The 'cold-start' problem caused by data sparsity prevents recommender system from providing recommendation properly in the personalized credit card recommendation scenario. We propose a personalized credit card recommender system to address the cold-start problem, using multiple user profiles. The proposed system consists of a training process and an application process using five user profiles. In the training process, the five user profiles are transformed to five user networks based on the cosine similarity, and an integrated user network is derived by weighted sum of each user network. The application process selects k-nearest neighbors (users) from the integrated user network derived in the training process, and recommends three of the most frequently used credit card by the k-nearest neighbors. In order to demonstrate the performance of the proposed system, we conducted experiments with real credit card user data and calculated the F1 Values. The F1 value of the proposed system was compared with that of the existing recommendation techniques. The results show that the proposed system provides better recommendation than the existing techniques. This paper not only contributes to solving the cold start problem that may occur in the personalized credit card recommendation scenario, but also is expected for financial companies to improve customer satisfactions and increase corporate profits by providing recommendation properly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.313-316
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• 2016

Highly probable cause of the current turmoil critical national infrastructure and private enterprise information systems failures or national event of an accident, it is inevitable huge hit in corporate business as well as a significant impact on the national benefit. This is a trend subject to the stability of the national management information system has a significant impact on people and society, such as banking, telecommunications, transport and energy, which can be extended into a private institution. However, public and private ICT business through the development of Information system Audit or CMMI(Capability Maturity Model Integration) certification check the quality of the target system, but quality check on the reliability of the information system operations after construction is either not promoting met for some safety test results a situation that does not enabled by insufficient. By preventing the disorder or an accident of this study, the diagnostic reliability information systems through inspection and evaluation system development of information systems being established, and to minimize service confusion and study ways to ensure customer - oriented service.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.355-368
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• 2013

In securities companies where corporate management performance is heavily dependent on the ability of salespeople, excellent sales-force with the ability to create high performance is very important. However, in the meantime, there was lack of studies on Private Banker's characteristics and sales behavior or sales performance. This study analyzed the effect of PB's characteristics on sales behavior in the Korean Securities Industry. The survey was conducted in March, 2013. 523 responses were used in the data analysis. As a result, PB's 4 characteristics- attitude to work, performance orientation, learning orientation, customer orientation- showed a positive impact on the sales behavior, and the organizational support showed positive moderating effect on this model. In this study, we reported that securities companies must reinforce training and self-development programs in order to improve the characteristics of the PB and to upgrade management performance. In particular, the securities has to rebuild organizational support system to improve the individual characteristics of the PB.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.140-141
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• 2017

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. Thus, Big data analysis is an effective analysis of various big data that exist all over the world such as social big data, machine to machine (M2M) sensor data, and corporate customer relationship management data. In the big data era, it has become more important to effectively analyze not only structured data that is well organized in the database, but also unstructured big data such as the internet, social network services, and explosively generated web documents, e-mails, and social data in mobile environments. By the way, a meta analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We reviewed a total of 750 samples among 50 studies published on the topic related as IDT between 2000 and 2017 in Korea.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.157-172
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• 2019

The purpose of this study was to explore the moderating effect of food safety scandals on the relationship between food company's Corporate Social Responsibility(CSR) engagement at different levels and brand image in the Chinese dairy company context. In addition, this study also examined the mediating effect of brand image on CSR engagement and consumer loyalty. The study adopted a $2{\times}2$ between-subjects experimental design using scenarios. Four scenarios provided a mixed combination of yes or no cases for food safety scandal, and high or low cases for a dairy company's CSR engagement. In this study, survey was used to collect data from Chinese consumers. Of these, 377 valid data were collected from a sample of average Chinese consumers over the age of 20, collected through the internet. The results show that CSR engagement at different levels has a significant effect on brand image and food safety scandal has a significant moderating effect on the relationship between the two. This study expanded the previous study on the sensitivity of consumers to CSR activities in eastern China. At the same time, according to the results of the study, different CSR engagement of food enterprises does have a significant impact on brand image and consumer loyalty. In particular, high CSR engagement reduces negative impact on brand image through the moderating effect of food safety scandals. Therefore, for food business managers, actively participate in CSR activities, and actively enhance the engagement has a significant influence on the management of brand image.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.326-328
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• 2016

While hackers in early days intended to disable and devastate the system, these days people hack and attack the network in order to steal customer's private information from the big corporate, which changes the nature of the crime to cyber attack for money, eventually causing a lot of damages. One of the most efficient ways to protect this kind of network attack is VPN, referring to Virtual Private Network. VPN is a private networking technology that makes the public network available for only those who are concerned. This paper will suggest the VPN technology that can be applied to Linux server and related protocols and figure the applicable VPN out.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.15-22
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• 2020

Economic indicators are a factor that affects air cargo volume. This study analyzes the different factors affecting air cargo volume by each Chinese cities according to the main characteristics. The purpose of this study is to help companies related to China, airlines, and other stakeholders predict and prepare for the fluctuations in air cargo volume and make optimal decisions. To this end, 20 economic data were used, and the entire data was reduced to 5 dimensions through factor analysis to build a dataset necessary and evaluated the influencing factors by multi regression. The result shows that Macro-Economic Indicators, Production/Service indicators are significant for every cities and Chinese manufacture/Customer indicators, Korean manufacture/Oil Price indicators, Trade/Current indicators are significant for each other city. All adjusted R2 values are high enough to explain our model and the result showed excellent performance in terms of analyzing the different factors which affects air cargo volume. If companies that are currently doing business with China can identify factors affecting China's cargo volume, they can be flexible in response to changes in plans such as plans to enter China, production plans and inventory management, and marketing strategies, which can be of great help in terms of corporate operations.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.295-302
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• 2022

This study intends to apply the concept of reputation as a tool to positively build an evaluation of the CEO, the CEO of a company. It aims to develop tools to manage the reputation of the CEO and empirically explore the value of the tools use. As a result of the study, reliability, customer management, strategic vision, employee management, and social responsibility were derived as the constituent factors of CEO reputation, and it was confirmed that the relationship between CEO reputation and organizational favorability was statistically causal. Furthermore, the relationship between CEO reputation and product purchase intention was also statistically significant. It was confirmed that if the CEO's reputation was positively managed, it could help the stakeholders to evaluate the company to which the CEO belongs, as well as to purchase the products provided by the company. One of the ways to be well-received by various stakeholders in a corporate environment where uncertainty is intensifying is a reputation management system for CEOs, and CEOs themselves should recognize that their reputation can affect the organization and pay attention to reputation management.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.137-152
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• 2022

Consumers' enhanced intention to adopt the Mydata service or their voluntary provision of personal information is a very essential element in the stable growth of the Mydata industry along with the creation of corporate values. The growing leakage of customer information according to the rising value of data can have negative impacts on the use of Mydata service and shrink quality custom service needs based on the personal information provided by financial consumers. This study set out to identify security risks that financial consumers could recognize and security factors that could supplement them and investigate the effects of these security factors on consumers' intention to adopt the Mydata service, thus providing useful implications for increasing the acceptance of financial consumers and finding a strategy to expand safe utilization. The findings raise a need to guarantee the stability and transparency of information provided by customers as information subjects, and they should be essential requirements for the Mydata service. The security factors applied to guarantee them should include convenience in terms of financial service.

• Korea Trade Review
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• v.46 no.4
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• pp.189-204
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• 2021

The fourth industrial revolution is affecting the industry as a whole, and the current logistics industry is coexisting with crises and opportunities. As part of overcoming this situation, the online platformization of the logistics market has recently been rapidly taking place, and the growth of e-commerce around developed countries has emerged as a demand for flexible freight services that can send and receive cargo anywhere and anytime at appropriate cost. However, the logistics industry has not been able to change rapidly in line with the demands of the market as it is immersed in traditional transportation transactions. Thus, the digital transformation of the freight market has become urgent to address problems such as uncertainty over traditionally closed and conservative freight market transaction processes and the lack of reliability caused by information asymmetry. Therefore, innovative domestic and foreign companies are attempting to establish a new way of transporting cargo, especially a marketplace way of connecting suppliers and consumers. Current status analysis and case studies were conducted through existing literature surveys, and prior research on freight market place selection factors was previewed, and the selection factors were stratified into five upper and 19 lower factors. Through this study, it is expected that improvements for sustainable growth of freight marketplace companies will be derived and that it will be a basic study of establishing management strategies through marketplace operation and quality control. In addition, it is deemed that the priority of customer requirements can be actively accepted, providing an opportunity to actively respond and strengthen corporate competitiveness.