• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.2
• /
• pp.305-312
• /
• 2020

The Privacy Act stipulates that the privacy policy document, which is a privacy statement, should be disclosed in order to guarantee the rights of the information subjects, and the Fair Trade Commission considers the privacy policy as a condition and conducts an unfair review of the terms and conditions under the Terms and Conditions Control Act. However, the information subjects tend not to read personal information because it is complicated and difficult to understand. Simple and legible information processing policies will increase the probability of participating in online transactions, contributing to the increase in corporate sales and resolving the problem of information asymmetry between operators and information entities. In this study, complex personal information processing policies are analyzed using deep learning, and models are presented for acquiring simplified personal information processing policies that are highly readable by the information subjects. To present the model, the personal information processing policies of 258 domestic companies were established as data sets and analyzed using deep learning technology.

• The Journal of Information Technology
• /
• v.5 no.1
• /
• pp.157-171
• /
• 2002

The evolution of transaction-based business model is upon us. The business models of many e-Marketplace in their early stages have typically been based on transaction fees. Many e-Marketplaces have even called out transaction revenues as a core element of their business plans. The transaction business represents the most simple of business models, but it does not provide a long-term sustain able advantage. For buyer's convenience, wide selection and test price hold appeal. For suppliers, the extended global market reach and direct access to customers and consortiums of customers is powerful. To maxmize leverage of these new e-marketplace, you must from both a buyer perspective as well as a supplier perspective. Also required is a strategy that takes in account all of the various e-Marketplace transaction standards and one that allows the easy accomodation to new e-marketplace as the market change. These new e-marketplace will need to be factored into the sales channel strategies. To be successful, integration with these e-marketplaces should occur at a complete business process level. This study explored independent and industry-backed current and future business models that are emerging in the B2B electronic market industry, as well as value -added service models for the Net market maker industry. E-Marketplaces will evolve into digital work environments in which real industry collaboration can occur.

• Korean Institute of Interior Design Journal
• /
• v.24 no.2
• /
• pp.171-179
• /
• 2015

The aim of this study is to figure out the preference features on design components of shop facade on the basis of the questionnaire survey on short-term memory and sensory memory of human right after an image experiment. As for a preceding research, this study examined the design features of facade into tangible elements and intangible elements, and also classified them into physical, aesthetical, marketing and symbolic components in detail. And, it extracted 5 representative elements in preceding studies including shape, material, pattern, color and sign, which is the standard of a questionnaire survey and preference analysis. The subjects of the experiment were 30 men and women who were over 20 years old majoring interior design. They were exposed to 20 images with 10 seconds respectively through a video, and were asked to respond the questionnaire promptly. The findings of preference analysis of design components of facade including shape, material, pattern, color and sign are as follows. Firstly, shape was the most interesting and attracting component, and designs applied with shape of objects such as 'web', 'drawer', 'wheel' and 'button' obtained high preference. Secondly, as for material, block, steel, exposed concrete board attracted higher preference as memorable materials than other materials. Material was affected by shape, pattern and color. Thirdly, pattern was the most lasting element. Designed pattern had higher preference than simple pattern. Fourthly, as for color, red and green with strong stimulation and attention attained priority having long lasting memory. Fifthly, when visiting a shop, sign out of 5 elements of shape, material, pattern, color and sign drew attention the most. As for the preference of location of sign, 'center top' was the most noticeable. The findings of this study could be utilized for facade design, and also could be used for commercialization considering highly preferred components, and top preference aspects of such elements. advised that to give an impression to customers is important to make a successful design for sales marketing, which, in turn, would lead customers to revisit the shop.

• Industrial Engineering and Management Systems
• /
• v.12 no.3
• /
• pp.244-253
• /
• 2013

In industries, shipping is an important issue in improving the forecasting accuracy of sales. This paper introduces a hybrid method and plural methods are compared. Focusing the equation of exponential smoothing method (ESM) that is equivalent to (1, 1) order autoregressive-moving-average (ARMA) model equation, a new method of estimating the smoothing constant in ESM had been proposed previously by us which satisfies minimum variance of forecasting error. Generally, the smoothing constant is selected arbitrarily. However, this paper utilizes the above stated theoretical solution. Firstly, we make estimation of ARMA model parameter and then estimate the smoothing constant. Thus, theoretical solution is derived in a simple way and it may be utilized in various fields. Furthermore, combining the trend removing method with this method, we aim to improve forecasting accuracy. This method is executed in the following method. Trend removing by the combination of linear and 2nd order nonlinear function and 3rd order nonlinear function is executed to the original production data of two kinds of bread. Genetic algorithm is utilized to search the optimal weight for the weighting parameters of linear and nonlinear function. For comparison, the monthly trend is removed after that. Theoretical solution of smoothing constant of ESM is calculated for both of the monthly trend removing data and the non-monthly trend removing data. Then forecasting is executed on these data. The new method shows that it is useful for the time series that has various trend characteristics and has rather strong seasonal trend. The effectiveness of this method should be examined in various cases.

• Journal of Distribution Science
• /
• v.7 no.1
• /
• pp.35-53
• /
• 2009

Sees the market where home appliance and network equipment, the communication service enterprises are new recently the home network market of the most which has an interest in the home network is being activated the newly-built high-class apartment in the center. The company building leads because not being option of the case last customer of newly-built market and must do a business . marketing. So newly-built market the demand grasp which is individual leads sale activation with difficult and that to creates a benefit there is a limit judges and axis market in the object hereafter demand at even the popular house the function to prepare in being magnified is simple and there is a possibility of saying that a more effort is demanded in supply style video phone market opening up where the price is cheap. Saw with like this reason from, analyzes the concept and a market trend of the video phone, grasps distribution channel forms and A/S handling systems and there is the goal finds the video phone sale revitalization plan which is suitable in all market.

• International Commerce and Information Review
• /
• v.7 no.3
• /
• pp.195-212
• /
• 2005

International trade has been changed from traditional trade to e-trade due to the fast expanding of information technology like e-marketplace, EDI (Electronic data interchange) using Internet since mid of 1990's. e-Trade, as a new trade method, could handle every trade procedure such as market research, contract, customs clearance, logistics and payment using IT like internet without restriction of time and space. The evolution of transaction-based business model is upon us. The business models of many e-Marketplace in their early stages have typically been based on transaction fees. Many e-Marketplaces have even called out transaction revenues as a core element of their business plans. The transaction business represents the most simple of business models, but it does not provide a long-term sustain able advantage. For buyer's convenience, wide selection and test price hold appeal. For suppliers, the extended global market reach and direct access to customers and consortiums of customers is powerful. To maximize leverage of these new e-marketplace, you must from both a buyer perspective as well as a supplier perspective. Also required is a strategy that takes in account all of the various e-Marketplace transaction standards and one that allows the easy accomodation to new e-marketplace as the market change. These new e-marketplace will need to be factored into the sales channel strategies. To be successful, integration with these e-marketplaces should occur at a complete business process level. This study would suggest on the role of buyers and sellers for e-trade which could maximize effect of e-trade in order to cope with rapid changing IT environment and global trade environment. Therefore, this study suggests top priority tasks for implementing on the specialization strategy of e-trade process.

• Journal of KIISE:Computing Practices and Letters
• /
• v.7 no.6
• /
• pp.653-660
• /
• 2001

Recently, The range of Internet based information environment is spreading over core business area, as well as simple information provision area. Especially, with spreading WWW technology, markup language based technology is emerging as an important part in Internet based business. But, the data made by SGML can only see by using SGML Browser, so it has some problem in information providing at Internet, and compatibility of data between Data source. So, this study suggests essential architecture and technique for migrating from SGML to XML environment. In our study, we use 600MB SGML data that are selected from 3Tera DataBase of SGML as testing target for migration. We can reduce data displaying time after migration, can do mobile computing which is based on Internet as a result of this study. And the same technique and idea that is used in this study can apply to more large SGML Environment without changing. So, It will be very helpful to the reader who is interesting to migrate from SGML doc to XML doc.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.40 no.4
• /
• pp.763-774
• /
• 2016

Companies have recently become interested in the importance of long-term relationships with customers because business-based marketing ideas of the past have evolved into long-term relationship-based marketing. Establishing a relationship with customers to a company is not a simple method to form a market of consumers and provider; it is now understood as an important factor directly connected to the survival of a company. This study is to help Korean fashion brands in China build an efficient strategy for sales promotion and loyal customers through the analysis of the effect of familiarity with Korean fashion brands on satisfaction and brand loyalty in a rapidly growing Chinese fashion market. An online questionnaire covering Korean fashion brands in China was completed by 377 Chinese male and female customers aged 20 to 39 years old from March 20 to March 27, 2014. Data analysis was performed by factor analysis and path analysis using SPSS 20.0 and AMOS. Both direct experiences and indirect experiences influenced brand familiarity. It showed that brand familiarity had a significant direct effect and an indirect effect through satisfaction on brand loyalty. A competitive advantage in the present Chinese fashion market requires that loyalty builds and that brand loyalty increases by creating a long-term relationship with customers when familiarity about the brand is induced.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.14 no.1
• /
• pp.45-55
• /
• 2018

Recently, because the arrival of the fourth industrial revolution era, many information and telecommunication services have grown rapidly in the mobile business market. So, companies are based Mobile Apps on user customized services and expanding their services. From the standpoint of the business, to generate revenue, the company needs to maintain the existing current computer environment and develop Mobile Apps to offer convenience in various areas such as finance, admiration, e-commerce and sales support. However, as the number of users increase due to expansion of various Mobile services, security threats that are related to Mobile Apps are increasing and its damage is also increasing. Due to the rapid technological transformation of Mobile devices using the Internet, the level of security threats to Smartphones are rising and getting more advance, so this thesis is structured as follows. In Chapter 2, it will look at the overall trends of Mobile Apps as related research. In Chapter 3, it will discuss various security concerns that related to the latest Mobile Apps and learn about the threatening factors. In Chapter 4, it will compare and analyze the threatening factors. Then it will find and suggest the possible plan. In Chapter 5, it will end with conclusion. Finally, to protect mobile devices from security threats, the environment of operating system which manages the resources and data of Apps needs to be protected. Also, it is important that users to have awareness and check activation FinTech technology security in the process of simple payment with fingerprint or IC card.

• Journal of the Korean Home Economics Association
• /
• v.26 no.2
• /
• pp.39-47
• /
• 1988

The aim of this study is to grasp the actual state of high school girls' clothing after liberalization of their uniform and to provide the reasonable guidance materials in clothing for both schools and homes. These are the results of the study 1. In the aspect of the favor of clothing and the interest in about clothes. a. They were fond of wearing "T" shirts, blue jeans in summer and pants and jackets in spring as their school wear. That implies that they enjoy wearing active and practical clothes. b. In the aspect of color, majority of them favored blue or similar colors, Also they had the tendency to love soft, simple clothe and more students preferred cloth without pattern. c. In their choice of them, they seldom paid attention to the informative-label are not their chief interest. d. More than half of girls prepare one or two suits in advance in a season, and they would prepare them deliberately This implies that their everyday life inclothing is based on the economic motive. 2. In the aspect of the purchasing clothes, a. Most of the girls bought them at the market and some of them at the direct-sales stall. b. when they purchased clothes, most girls were accompanied by their/mother and senior girls more often by their friends. c. The price and kinds of their favorite clothes such as "T" shirts and blouse was 5,000 won or so, and skirts, pants, one-piece and jackets are from the range of 5,000 won to below 10,000 won mostly. d. In regard to so-called brand-name items by popular designers, half of the girls responded that they wear some of such kinds of items because of superiority of sewing and longterm wearing, and the other half tend not to wear them due to high price.