• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.113-125
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• 2013

Every company wants to know customer's requirement and makes an effort to meet them. Cause that, communication between customer and company became core competition of business and that important is increasing continuously. There are several strategies to find customer's needs, but VOC (Voice of customer) is one of most powerful communication tools and VOC gathering by several channels as telephone, post, e-mail, website and so on is so meaningful. So, almost company is gathering VOC and operating VOC system. VOC is important not only to business organization but also public organization such as government, education institute, and medical center that should drive up public service quality and customer satisfaction. Accordingly, they make a VOC gathering and analyzing System and then use for making a new product and service, and upgrade. In recent years, innovations in internet and ICT have made diverse channels such as SNS, mobile, website and call-center to collect VOC data. Although a lot of VOC data is collected through diverse channel, the proper utilization is still difficult. It is because the VOC data is made of very emotional contents by voice or text of informal style and the volume of the VOC data are so big. These unstructured big data make a difficult to store and analyze for use by human. So that, the organization need to automatic collecting, storing, classifying and analyzing system for unstructured big VOC data. This study propose an intelligent VOC analyzing system based on opinion mining to classify the unstructured VOC data automatically and determine the polarity as well as the type of VOC. And then, the basis of the VOC opinion analyzing system, called domain-oriented sentiment dictionary is created and corresponding stages are presented in detail. The experiment is conducted with 4,300 VOC data collected from a medical website to measure the effectiveness of the proposed system and utilized them to develop the sensitive data dictionary by determining the special sentiment vocabulary and their polarity value in a medical domain. Through the experiment, it comes out that positive terms such as "칭찬, 친절함, 감사, 무사히, 잘해, 감동, 미소" have high positive opinion value, and negative terms such as "퉁명, 뭡니까, 말하더군요, 무시하는" have strong negative opinion. These terms are in general use and the experiment result seems to be a high probability of opinion polarity. Furthermore, the accuracy of proposed VOC classification model has been compared and the highest classification accuracy of 77.8% is conformed at threshold with -0.50 of opinion classification of VOC. Through the proposed intelligent VOC analyzing system, the real time opinion classification and response priority of VOC can be predicted. Ultimately the positive effectiveness is expected to catch the customer complains at early stage and deal with it quickly with the lower number of staff to operate the VOC system. It can be made available human resource and time of customer service part. Above all, this study is new try to automatic analyzing the unstructured VOC data using opinion mining, and shows that the system could be used as variable to classify the positive or negative polarity of VOC opinion. It is expected to suggest practical framework of the VOC analysis to diverse use and the model can be used as real VOC analyzing system if it is implemented as system. Despite experiment results and expectation, this study has several limits. First of all, the sample data is only collected from a hospital web-site. It means that the sentimental dictionary made by sample data can be lean too much towards on that hospital and web-site. Therefore, next research has to take several channels such as call-center and SNS, and other domain like government, financial company, and education institute.

• Management & Information Systems Review
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• v.38 no.1
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• pp.23-41
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• 2019

Smart Factory is different from existing factory automation in that it aims to produce personalized products with minimum time and cost through ICT. However, previous researches, not from consumers but from product suppliers, have focused on technology trends and technology application methods. In order for Smart Factory to be successful, it must go beyond supplier-focus to meet the needs of consumers. In this study, we surveyed the purchase intention of the personalized product manufactured by smart factory. Influencing factors of purchase intention were drawn as consumers' need for uniqueness, innovativeness, need for touch, and privacy concern, based on previous research. As results of data analysis, it was confirmed that respondents were willing to purchase personalized products, and that consumers' need for uniqueness, innovativeness, and need for touch had a significant impact on purchase intention of personalized products. Our findings can be summarized as follows. First, Consumers' need for uniqueness was found to have positive effects(${\beta}=0.168$) on purchase intention of personalized products. The desire to differentiate themselves from others will be reflected in their personalized products. Therefore, consumers with a higher desire for uniqueness tend to be more willing to purchase personalized products. Second, consumer innovativeness was found to have positive effects(${\beta}=0.233$) on purchase intention of personalized products. Personalized shoes suggested in this study is a new type of personalized product that is manufactured by the latest information and communication technologies such as multi-function robots and 3D printing. Therefore, consumers seeking innovative new experiences are more willing to purchase personalized products. Third, need for touch was found to have positive effects(${\beta}=0.299$) on purchase intention of personalized products. In a smart factory environment, prosuming participation is given to consumers. If consumers participate in the product development process and reflect their requirements on the product, they are expected to increase their purchase intention by virtually satisfying the need for touch. Fourth, privacy concern was found to have no significantly related to purchase intention of personalized products. This is interpreted as a willingness to tolerate the risk of exposing personal information such as home address, telephone number, body size, and preference for consumers who feel highly useful in personalized products.

• Journal of the Korean Solar Energy Society
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• v.30 no.3
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• pp.81-89
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• 2010

The photovoltaic industry is one of the main research areas for regenerable energy usage and green growth policy of the Korean government. R&D programs of MEST(Ministry of Education, Science and Technology) and MKE(Ministry of Knowledge Economy) are concentrating on the development of fundamental and applicable technology which can be carried out by a so-called "Big company" consortium. So it is essential to discover and support R&D projects for small and medium enterprises(SMEs) in the photovoltaic industry. R&D projects should be funded effectively to enhance the competitiveness of the SMEs. It is a complicated process as to decide what R&D projects or key element technologies should be selected and how to support them. In this paper, the supply chain analysis is adopted as a critical tool for selecting the research areas and topics for the SMEs, which can be done by analyzing the number of the SMEs, the level of imports and the localization possibility for each supply chain element. We define the strategic products for the SMEs to deduct core technologies for each strategic product. R&D projects definition sheets are proposed for each core technology. All the decision making processes are authorized by a committee which consists of experts for academia, industries and the research field. The efficacy of the proposed framework is described throughout the photovoltaic industry.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.107-116
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• 2016

This study was conducted to propose creative innovation systems. The effect that cooperation network factors of innovation system in telecommunications sector called typical knowledge industry have on technological innovation was examined. We used the Korea Corporate Innovation Survey (KIS) Data for this study, it has to apply the OECD NESTI-WPIA methodology for probit analysis. The analysis derived the following findings. First, cooperation between the principal innovations in the telecommunication information generally have a positive impact on innovation. Second, cooperation with private institutions have an important role in technological innovation. Third, the various cooperation exerts a positive impact on innovation and has a greater impact on practical innovation in a low creativity level. With this result, it seems that our technological innovation policy should follow a direction of building corporatist-type system to establish cooperation promotion, privately led innovation, and a variety of opinions.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.1-15
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• 2013

Recently, many companies have been interested in the cloud computing as a new IT service. They have believed that the technology enables them to save cost and enhance productivity. However, because of the management and operational problems of the technology, they hesitate to adopt the technology into their businesses rapidly. The developed countries in the IT field, such as USA, UK, and Japan, have deployed various policies to promote the use of the cloud computing in their countries. The Korean Government also has started investing a lot of resources to make the technology used widely. This study examines the current status of the Korean Government's technology policies for the cloud computing by using three analysis frameworks, which can be used to identify the government's roles in government-leading technology initiatives. The results show that the Korean Government's current policies have focused on service providers, not service consumers, and focused on public sectors, not private sectors. The unbalanced policies might interfere with the rapid and massive adoption of the cloud computing.

• Journal of Practical Engineering Education
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• v.5 no.2
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• pp.123-127
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• 2013

Youth employment academy program focuses on resolving the job mismatch of youth unemployment through industry oriented human resource development for which company oriented capacity building program for graduate-to-be and graduate is supported. One of the major characteristics of this program is to use the M-to-M model with common skills for companies of same type of business. The operation organization in youth employment academy is supposed to be evaluated by the final employment rate after 1 year and 6 months since start of the program. So performance indicator for the operation organization was developed which means a kind of mid-term evaluation. In this research, the validity of the performance indicator is discussed. The correlations between the performance indicator and the performance evaluation, between the performance evaluation and the final employment rate, and between the performance indicator and the final employment rate are analyzed.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.51-61
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• 2018

This The purpose of this study is to propose a Technology Transfer Commercialization Model(TTC Model) that reflects the domestic background of R&D, technology transfer and its commercialization. This study outlines the existing technology commercialization model, examines the background of domestic technology transfer, presents TTC Model, and introduces the application of this model. As a result of this study, the TTC Model suggested the role of each participant in each stage and divided into the provider-led domain and the consumer-led domain. The use of this model can be applied to a technology provider in a way that progressively reduces its role. In the case of technology users, it can be used a corporate innovation model that gradually expands leading to commercialization and profit realization. This study is meaningful in that it clarifies the roles and the level of leadership of technology transfer entities.

• Journal of Convergence Society for SMB
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• v.6 no.4
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• pp.25-30
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• 2016

This paper presents on the development of a compact anti-lost device requested recently. The proposed device consists of the master and slave modules based on Bluetooth4.1 technology. To implement a low-power characteristic, an algorithm has been also developed. The transmitting and receiving circuits are designed by using BoT CLE110 module supporting Bluetooth 4.1. The ATmega 328P-AU was used for the control and LP3874EMP was used as a linear regulator. Power consumption of the fabricated product in operating mode is only 10mAh and 35mAh for MCU operating state. Alarm operation distance is $10m{\pm}30%$, the effective radiated power is less than 10mW, the frequency band is designed to operate in the Bluetooth band with 26MHz bandwidth. And algorithms have been developed to extend the battery life. The size of the product was obtained as $45{\times}45{\times}15mm$ for master and $35{\times}35{\times}10mm$ fr slave. After the optimization process, it is expected to be commercialized as a wristwatch for anti-lost device.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.6 s.312
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• pp.17-25
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• 2006

As information systems to be computerized get significantly scaled up, data modeling issues apparently considered to be crucial once again as the early 1980's under the terms of data governance, data architecture or data quality. Unfortuately, merely resorting to heuristics-based field approaches with more or less no firm theoretical foundation of knowledge with regard to criteria of data design lead quite often to major failures in efficacy of data modeling. In this paper, we have compared normalization-critical data modeling approach, well-known as the Non-Stop Data Modeling methodology in the literature, to the Information Engineering in which in many occasions the notion of do-normalization is supported and even recommended as a mandatory part in its modeling nature. Quantitative analyses have revealed that NS methodology ostensibly outperforms IE methodology in terms of efficiency indices like adequacy of entity judgement, degree of existence of data circulation path that confirms the balancedness of data design and ratio of unnecessary data attribute replication.

• International Commerce and Information Review
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• v.14 no.3
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• pp.253-280
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• 2012

Since China reformed and opened up itself, processing trade system has enormously contributed to chinese economic development and also become driving force of chinese economic growth. However, due to imbalance of industrial distribution, overproduction of labor-intensive product has expanded, and as a result, mass export of low-value-added products has aggravated trade friction. Also, these low-value-added products has caused environmental pollution and brought resource waste. On this, Chinese government start to modify system according to strategy for enhancement of processing trade. In this study, as a countermeasure of the Change of Chinese processing trade system, applicability of the bonded area is suggested. Firstly, even if a company's item is applied to prohibited or restricted items, the company can trade if through the bonded area. Secondly, even if a company has duty of deposit reservation, the company can be exempt from duty of deposit reservation if through the bonded area. Thirdly, as to importing facilities for processing trade, a company can receive more benefit through the bonded area than through outside of the bonded area.