• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.289-294
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• 2014

In the recent enterprises and are utilizing the CRM using data mining techniques and new marketing plan. However, data mining techniques are necessary expertise, general public access is difficult, it will be subject to constraints of time and space. in this paper, in order to solve this problem, we have proposed a Mobile CRM applying the data mining method. Thus, to analyze the structure of an existing CRM system, and defines the data flow and format. Also, define the process of the system, was designed sales trend analysis algorithm and customer sales recommendation algorithm using data mining techniques. Evaluation of the proposed system, through the test scenario to ensure proper operation, it was carried out the comparison and verification with the existing system. Results of the test, the value of existing programs and data matches to verify the reliability and use queries the proposed statistical tables to reduce the analysis time of data, it was verified rapidity.

• Korean journal of communication and information
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• v.80
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• pp.143-166
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• 2016

Recently, industrial values of big data as an important force of future society have been vastly paid attention. At the same time, more concerns about their private informations' disclosure online still echo around us, especially for them who have experiences of their personal information open online. This study aims to examine the questions; how people think about their personal information revealed online?; how much they have 'psychological reactance'?; what attitudes they have toward a certain governmental regulations on this? The findings of this study indicate that we should have more attentions to protect 'privacy' in the age of big-data and still need to make a lot of efforts to prepare a feasible regulation guide on this issue.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.90-98
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• 2017

Since 2010, SNS was holding the explosive spread of smartphones has created a place of public advertising platform, and it entered the Internet of Things (IoT) is born gradually countdown of the era came to us already. In utilizing a variety of location-based services IoT services (beacon, O2O) The focus of this paper to analyze the differences in satisfaction with the oil layer by experienced users of what is being used. We consider the type and overall utilization of the concepts typical IoT service in the current service is made to expand the contents of the paper. Hypothesis was reconstructed ease, attractiveness, a survey reliability, value four kinds of models, called Honeycomb UX, User Experience Honeycomp Peter Mobil. Company that provides the service IoT in this study are expected to be used as basic data to help provide a more accurate personalized service according to the user's satisfaction difference.

• Journal of the Korean Geographical Society
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• v.42 no.5
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• pp.769-787
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• 2007

This study aims to uncover sources of environmental learning from a student perspective using the previously unstudied case of South Korea. literature from other countries credits many sources of learning, including: media, school, personal sources, and non-governmental organizations. This analysis is based on focus group and questionnaire data collected during in-country field work. Results from South Korea are then compared with other studies carried out in the Asia-Pacific and the Western developed world. The results show that, similar to other countries including Australia, China, and India; South Korean students learn about the environment mainly through the media and schools. Television, schools, and domestic internet web pages were found to be some of the most-used sources of environmental information in South Korea, while more personal sources, such as community, family, and friends, were found to play an overall lesser instructive role. When compared internationally, South Korean students often exhibited less trust in the reliability of various sources, especially business, community, and foreign sources of information.

• Convergence Security Journal
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• v.20 no.2
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• pp.37-52
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• 2020

The EU, the United Kingdom and South Korea are actively pursuing open banking to open financial information to fintech companies for financial structure reform and convenience of financial consumers. As open banking is gradually activated, the importance of stability and protecting users of open banking will increase. In particular, Korea has an electronic financial transaction law that has been in effect since 2007 to secure the stability and reliability of electronic financial transactions, but it is difficult to apply to participating organizations in open banking, so there is a risk of preventing security accidents and weakening user protection in open banking. Therefore, this paper examines the foreign legal system of open banking and analyzes the structure and characteristics of domestic open banking and suggests the ways to improve regulations necessary to strengthen open banking stability and user protection.

• Journal of Environmental Policy
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• v.9 no.4
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• pp.77-102
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• 2010

The purpose of this paper is to analyze the Japanese emission trading system and climate change policy thereby contributing to the instituting of similar systems that will be viable for the Korean context. In applying such analyses, it is important to include a careful consideration of cost sharing between stakeholders and firms, an enhancement of the trust worthiness of data concerning greenhouse gases, and an examination of related infrastructure such as emissions authentication agencies and their development. Moreover, it is important to minimize the outflow of domestic resources such as offset credit, green electricity certification system, and ecopoint, making compatible economic growth and carbon reduction thereby encouraging the production and dissemination of 'Environmental Value' as well as connecting 'Environmental Value' to a emission trading system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.125-141
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• 2020

This study examines the effect of founders' strategic orientation and social capital on the performance of startups in Korean contexts. Founders' strategic orientation is proposed as the main factor to reduce the risk of failure and to increase the potential of future growth of the startup. Three main components of strategic orientation, entrepreneurial, market, technology, were simultaneously tested with a sample of Korean startups. Furthermore, founders' social capital, networks with supporting entities and the level of chemistry within founding members were also proposed to be important factors. We also tested possible mediating effects of social capital on the main impact of strategic orientation. With a sample of 79 startups founded less than 5 years in Seoul Metropolitan Areas, we found that technology orientation of founders only significantly increases the performance of startups, but both entrepreneurial and market orientation do not. Regarding social capital effect, the external networks of the founding members are effective as proposed, and also the high cohesiveness of founding members increases the startup performance. However, the mediating role of social capital is just partially confirmed. The implications of our findings, in both sense of firm's strategy and startup policy, are discussed. This study is expected to be a bridge connecting firms' strategy with startup policy-making in Korea.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.35-40
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• 2020

As we enter the society of the future, efforts to increase healthy living are a major area of concern for modern people. In particular, the development of technology for a healthy life that combines ICT technology with a competitive healthcare industry environment is becoming the next growth engine. Therefore, in this paper, artificial intelligence-based data analysis of the examination results was applied in the health examination process. Through this, a research was conducted to build a knowledge base modeling that can improve the reliability of the overall judgment. To this end, an algorithm was designed through deep learning analysis to calculate and verify the test result index. Then, the modeling that provides comprehensive examination information through judgment knowledge was studied. Through the application of the proposed modeling, it is possible to analyze and utilize big data on national health, so it can be expected to reduce medical expenses and increase health.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.4
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• pp.323-330
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• 2011

Globalization of market and diversification of customers' needs make enterprises to collaboration of participants in supply chain. To establish collaboration, supply chain must have the flexibility and reconfigurability, which are supported by fractal based supply chain management (FrSCM). In this paper, base on the FrSCM, formulation of trust model among the enterprises in the supply chain, and development of profit sharing strategies in the supply chain based on the trust model are investigated. To evaluate trust model, generation of enterprise's goal and its description, extraction and systematic composition of trust factors and trust evaluation are investigated. Based on the developed model, we developed the fuzzy inference engine to evaluate the trust value in terms of numerical value. And then revenue sharing strategies are developed based on the fractal concept and trust model for the collaborative SCM. The fractal concept is used to obtain the optimal production and transportation plans. In addition, the trust model will be integrated into the RS model. In such an RS model, the supply chain will obtain the maximum total profit and profit of each participant depends on its trust value.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.333-345
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• 2007

In the recent years, the companies have manually recorded a production status in a work diary or have mainly used a bar code in order to collect each process's progress status, production performance and quality information in the production and logistics process in real time. But, it requires an additional work because the worker's record must be daily checked or the worker must read it with the bar code scanner. At this time, data's accuracy is decreased owing to the worker's intention or mistake, and it causes the problem of the system's reliability. Accordingly, in order to solve such problem, the companies have introduced RFID which comes into the spotlight in the latest automatic identification field. RFID is an automatic identification technology by radio communication technology that allows us to identify or record information without contacting the corresponding object, and as Gen2 and EPCIS, EPCglobal's standard tag for RFID, have recently been established, it will be introduced to the whole computation industry. This study suggests RFID type Modeling Notation for analyzing logistics flow to improve MES focusing on extended model of EPCIS, and EPCISEvent Template in manufacturing industry.