• East Asian Journal of Business Economics (EAJBE)
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• v.4 no.1
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• pp.5-15
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• 2016

With vigorous development of global network community, smart phones and mobile devices, enterprises can rapidly collect various kinds of data from internal and external environments. How to discover valuable information and transform it into new business opportunities from big data which grow rapidly is an extremely important issue for current enterprises. This study treats Company S as the subject and tries to find the factors of big data application in enterprises by a modified Decision Making Trial and Evaluation Laboratory (DEMATEL) and perceived benefits - perceived barriers relation matrix as reference for big data application and management of managers or marketing personnel in other organizations or related industry.

• ETRI Journal
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• v.36 no.3
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• pp.490-497
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• 2014

The market performance of WiBro in Korea has not been as expected, and its rapid diffusion in the near future is unlikely owing to the existence of competing services. There has been little research on the factors affecting this low market diffusion. This study is based on an analytical framework in which a lack of service capability and the insufficiency of service-related activities have resulted in the current poor market performance. An expert survey was conducted on WiBro specialists and verified using the analytical hierarchy process method. The result of this analysis is as follows: underinvestment in network deployment and marketing, insufficient promotional policies, and a shortage of service capabilities are to be analyzed as the main causes of WiBro's low market diffusion.

• Journal of the Korean Data and Information Science Society
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• v.16 no.3
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• pp.529-538
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• 2005

Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are association rules, decision tree, clustering, neural network and so on. Association rule mining searches for interesting relationships among items in a riven large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We analyze Gyeongnam social indicator survey data using association rule technique for environmental information discovery. We can use to environmental preservation and environmental improvement by association rule outputs.

• 한국데이터정보과학회:학술대회논문집
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• 2005.04a
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• pp.18-24
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• 2005

The methods of data mining are decision tree, association rules, clustering, neural network and so on. Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. We analyze Gyeongnam social indicator survey data by 2003 using association rule technique for environment information. Association rules are useful for determining correlations between attributes of a relation and have applications in marketing, financial and retail sectors. We can use association rule outputs in environmental preservation and environmental improvement.

• 한국데이터정보과학회:학술대회논문집
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• 2005.04a
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• pp.164-173
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• 2005

Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud detection, data reduction and variable screening, category merging, etc. We analyze waste database united with local information using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.83-97
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• 2014

With NFC technology, visitors can easily enjoy exhibit-related information and services. The participating firms can accumulate the visitor data and build up networks with potential visitors. This paper is to report an implementation and operation case of an NFC-based exhibition support service which creates new value as above. For this objective, we introduce the issues in constructing NFC-based exhibition support service. Moreover, we analyze visitor behaviors based on the tag touch data collected, and calculate the economic values generated. The NFC-based exhibition support service in this paper was applied to Hyundai Motors' booth in the 2013 Seoul Motor Show. This paper concludes with implications for business operators that are interested in applying NFC technology to exhibition spaces.

• Journal of the Korea Safety Management & Science
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• v.3 no.3
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• pp.131-141
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• 2001

Since 1990's, the Information Technology(IT) of combination between PC and Internet has progressed rapidly. As a fast development of Information Communication Technology and spreading of network, the previous economic state, the method of dealing, transaction object and a scope of transaction is changing. Like this, as raising of IT, the existing off-line commercial transaction is moving to electronic commercial one which based on the web. These days, a electronic distribution system of enterprise and the electronic commercial transaction between small company and customer is being operated, but there is no full developed proper system between small retailor and mid distribution center. So on this paper, the system which manage a simple marketing as well as Inventory Management & customer management will be presented.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.219-238
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• 2003

This study aims to investigate the impact of wide use of digital technology, in particular, the Internet, on innovation process and corporate strategy in electronics industry. The introduction of digital technology has changed innovation process, business model and organizational structure of the electronics companies. With the wide use of digital technology, the entire value chain of electronics industry from procurement, sales, and marketing to R&D and manufacturing has been restructured. This paper examine how digital technology has changed firms' behaviors in various areas through e-commerce, virtual reality and simulation, the rise of a new type of firm called EMS (Electronics Manufacturing Services), and etc. Amidst these changes building up innovation-friendly organization has emerged as a critical concern for firms. Due to the striking decrease of transaction cost, a network type of organization has proliferated, and a business function turns into a modular organization. As a whole, digital technology has pushed electronics firms into developing their own business model, which takes consideration of standardization of business platform and their core competency.

• Journal of Agricultural Extension & Community Development
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• v.14 no.1
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• pp.197-230
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• 2007

The objectives of this study were to identify the cause of consumers for purchasing foods from various distribution channels, and to compare with characteristics of consumers by each distribution channel. The distribution channels as the basis of comparison were four types namely, the consumer cooperatives / environment－friendly specialized stores, large retail discount stores, direct marketing and parents / relatives. The researcher developed a questionnaires, and a total of 190 questionnaires were collected and 186 of them were analyzed. The data were analyzed utilizing the SPSS－WIN 12.0K program and major statistical technique were mean, percentage, t－test, Chi－square test, ANOVA. There were differences in the quality perception, demographical characteristics, relationship with rural communities and personal experiences of the consumers according to the distribution channels.

• International Journal of Advanced Culture Technology
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• v.1 no.2
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• pp.13-17
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• 2013

Today, most of the companies have numerous issues to take advantage of the data within the organization. Modeling techniques could be described using profile and historical log data as a tool of data mining techniques. It is covered increasingly with data entry, research, processing, modeling and reporting components of the icon in the form of easy-to-use in many datamining tools. Visual data mining process can create a data stream. In this paper, customer behavior is predicted in pages or products, using the history profile analysis and the navigation items are necessary to predict unknown features.