• Journal of the Society of Naval Architects of Korea
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• v.30 no.2
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• pp.1-12
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• 1993

The role of product model in CIM environemt(where such heterogenous application programs as CAD, CAE, CAM, Database, and Expert Systems are included) is system integration. Product model manages all the information related to manufacuring activities. This information includes shapes, operation, process, scheduling, quality, and mangement. Product model architecture includes product model kernel, object schema, model manipulation language, and user interface. Objects to be shared are defined using the model manipulation luage and the defintions are saved in the object schema. In this paper, we present the design and implementation of a prototype. In this prototype, application programs for CAPP(Computer Aided Process Planning) are used.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1196-1204
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• 2002

This research was to see if the fashion product ads are standardized or differentiated, and to find what were the determinants if any differentiation existed. The purpose of this study was to identify cultural characteristics significant on marketing fashion produce. In addition, the relative importance of product appeals between rational and emotional in the fashion ads was examined. Hofstede's(l991) three cultural characteristics dimensions such as individualism-collectivism, power distance, masculinity-femininity were used. Content analysis was applied in the study. Magazine ads of apparel, cosmetics and accessories were collected from France, Japan, Korea and the US in 1999-2000. Cultural characteristics of the fashion ads were evaluated and compared in terms of country, product type and product involvement. Also ten consumption appeals were examined for county and product type. ANOVA, Duncan test and $X^2$ test were applied to analyze data. The results were shown as follows: First, all the cultural characteristics such as individualism-collectivism, power distance, and femininity-masculinity were different among countries. Second, two product appeals were significantly different among countries. Hedonic appeals were dominant fur France and the US while those were not for Korea and Japan. Third, product involvement level had significant impact on power distance characteristic and product appeals. Ads of high involvement fashion goods showed larger power distance and more emotional appeals. In conclusion, global fashion ads should be differentiated in terms of some cultural characteristics and product appeals.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.361-379
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• 2014

With the rapid increase of social network usage, there are emerging trends of adopting social information among online users in building recommendation system. This study aims to investigate whether the additional usage of social information can improve recommendation performance in recommendation system and how much the improvement can be different according to the product involvement level. As an experiment result, social information does not affect positively to the recommendation accuracy but affect significantly to the recommendation quality. Also social information contributed more sensitively to the improvement of recommendation quality in high product involvement domain.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.2
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• pp.135-142
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• 2013

In B2B e-Marketplace for free gifts and goods, product-mix recommendation is provided frequently by analysing customer logs and/or performing collaborative and rules-based filtering. This study proposes a new process that encompasses the genetic algorithm and key working processes of B2B e-marketplace based on the previous cooperate client order data. Efficiency and accuracy of the proposed system have been confirmed by cross-confirmation of accumulated data in the e-marketplace. The system can provide better opportunities for manufactures and suppliers to select optimized product-mix without time consuming trials and errors in their B2B e-marketplace networks.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.21-43
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• 2002

This paper examines internet shopping mall members' relationship quality and its antecedents variables. For this purpose, five types of membership customers' perceived variables, including convenience, product assortment, product information, shopping mall design, and service quality are proposed to affect customer satisfaction and consequently relationship quality. This study, which used data from customers of membership internet shopping malls, showed satisfactory data-fit to the proposed model and except product information hypothesis, supported all of research hypotheses. Also four types of membership customers' perceived variables(convenience, product assortment, shopping mall design, and service quality) take significant effect on customer satisfaction, and the satisfaction in turn have influence on relationship quality.

• Fashion & Textile Research Journal
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• v.6 no.3
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• pp.321-328
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• 2004

The purpose of this study were to investigate the differences of shopping value, promotional affects and product characteristics between buyers and non-buyers, and to examine the most influenced variable on purchasing behaviors of fashion products in CATV home-shopping. We collected data from 595 consumers related to CATV home-shopping in Busan. Data were analyzed by factor analysis, t-test, ${\chi}^2$-test and discriminant analysis. Results showed that there are significant differences between buyers and non-buyers of shopping value demographic characteristics, promotional affects and product characteristics. Especially, shopping value perceived by consumers(e.g., practical value and hedonic value) and product characteristics(e.g., response of others) discriminated whether consumers purchased the fashion products of CATV home-shopping or not. We discussed the implications of results to encourage the purchasing behavior of fashion products in CATV home-shopping.

• Fashion & Textile Research Journal
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• v.6 no.6
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• pp.699-706
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• 2004

In today's fashion industry, directions for new products and high value added of fashion goods, product changes according to cycles, the shortening of life cycles, added value, planned obsolescence, and presentation is focused on fashion trends that will be selected by many consumers at the point of selling time. Therefore fashion information poses great importance and its weight is growing bigger everyday. Fashion information recognized to be important is reflected practically in the prediction of fashion changes in the fashion industry; especially, it is the first stage of the merchandising process that is the course of new product development. Presently, with some differences according to the size and specialized area of a firm, domestic fashion menufacturers obtain information from sales data of competing brands and their own, market information, consumer information based on primary data, shared fashion trend information given by domestic fashion information providing companies. Firms can not produce differentiated images and product concepts using such shared information. Although the types, importance and reflection of used information vary according to merchandising processes, all experts engaging in the merchandising of fashion products use the same shared information.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.111-128
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• 2017

Existing studies for recommender have focused on recommending an appropriate item based on the customer preference. However, it has not yet been studied actively to recommend purchase timing for the repurchase product despite of its importance. This study aims to propose MLP and RNN models based on the only simple purchase history data to predict the timing of customer repurchase and compare performances in the perspective of prediction accuracy and quality. As an experiment result, RNN model showed outstanding performance compared to MLP model. The proposed model can be used to develop CRM system which can offer SMS or app based promotion to the customer at the right time. This model also can be used to increase sales for repurchase product business by balancing the level of order as well as inducing repurchase of customer.

• Journal of Information Technology Services
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• v.2 no.2
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• pp.63-73
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• 2003

Insurance system has a lot of decision factors which are affected by the kinds of insurance products. and has the features of many exceptions. Since in applying the product attributes to the current system the value definition through tables and the exception treatment logic (if then else) are used in parallel, the cost of a product change and a new product development becomes increased and the prompt market reaction is difficult. In this paper, we propose the well formed rule base system which makes data for the business logic of insurance attributes and discuss the benefit of application of this system to the real project.

• IE interfaces
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• v.10 no.3
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• pp.23-31
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• 1997

Exchange of product model data becomes a key issue in the globalized enterprise environment. Sharing heterogeneous information resides in diverse information resources is not easy. To share automotive product information among different organizations, a reliable neutral information standard and communication methods are needed. World wide sharing of automotive product information can be implemented based on the STEP AP214, the standard for exchange of automotive product model through its whole life cycle. This paper suggests an automotive PDM implemented on the internet and based on the STEP AP214. Physical files containing design data can be shared on the internet using JAVA applets and VRML.