• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.529-535
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• 2022

The purpose of this study is to identify the factors that influence the revisit of jewelry stores. The purpose od this study is to find specific factors that affect product and store satisfaction. The theoretical studies on product quality, perceived quality guarantee, product design, product price, sales promotion, product diversity, store area, store re-visit intent were reviewed. Based on this background, research hypotheses were established. A total of 80 questionnaires were distributed to verify the hypothesis of the study, and 64 were finally used for the analysis. SPSS 24.0 was used for hypothesis verification. The results of this study showed that product quality, perceived product guarantee, product design, and product price had positive influence on product satisfaction. On the other hand, sales promotion, product diversity and store interior were found to have positive influence on store satisfaction. Furthermore, product and store satisfaction were found to have a positive and significant effect on revisit Jewelry Stores.

• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.7
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• pp.1604-1618
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• 1995

In the process of mechanical assembly design, assembly modeling systems have been used mainly for the design verification before manufacturing by enabling to check the interference and/ or the dynamic and kinematic performance. However, the conventional assembly modeling systems have a shortcoming that they can not be used in the initial design stage but can be used only after the design is fully completed. In other words conventional assembly modeling systems provide bottom-up modeling which means that the detailed modeling of components must precede the definition of relationships between them. To resolve this problem, an assembly modeling system is proposed to provide a top-down modeling environment in which components and assembly can be modeled simultaneously. To this end, an assembly data structure suitable for top-down assembly modeling has been established. Feature positioning Module(FPM) using geometric constraints has been also developed. The Sekective Solving Method proposed for FPM is based on the priority between the constraint equations and enables the designer's intent expressed by geometric constraints to be maintained throughout the whole modeling process. Finally, the feature based modeling technique using two-level features has been developed. Two-level features include an abstract model and a detailed model in a merged form in non-manifold data frame.

• Korean Journal of Computational Design and Engineering
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• v.11 no.4
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• pp.303-314
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• 2006

The exchange of CAD (Computer Aided Design) models between different CAD systems and to downstream applications such as manufacturing has become very important to modem industry. One serious current issue is that the process cannot automatically import existing 3-D solid models in a variety of commercial CAD formats into the process without manually re-mastering the model in current standard including "SIEP AP(Application Protocol) 203 Edition 1" To fully integrate technical data from the design agency to the shop floor, design intent and validated 3D geometry of feature based parametric CAD model should be brought into the standardized processes. To overcome this limitation, AP203 Edition 2 (Ed.2) and its related STEP parts such as Part55, Part108, Part109, Part111 and Part112 are starting to be available to handle this problem. The features in Part111 are harmonized with the machining features available in AP224. This paper is focused on two mapping technologies: CAD to Part111 mapping and Pat111 to AP224 mapping including case studios and it will provide the guideline about what should be done next in the AP203 Ed.2 to AP224 mapping. The final goal of this project is to integrate technical data from CAD to AP224 based manufacturing information through AP203 Ed.2.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.75-85
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• 2019

This study was intended to identify the influence of brand value, Jewelry design, recommendation, Jewelry price, recognition, and satisfaction on purchase intent and to present a marketing strategy to draw up an activation plan for the child Jewelry market. Therefore, the implications of this study are as follows: First, companies should give consumers a sense of brand value through media promotion so that consumers can recognize it. Second, companies will have to set up marketing strategies to further enhance brand value through production of limited edition products. It will also have to develop a strategy to expand the type of product by promoting the product along with the product that has been recognized. Third, companies will have to diversify their product designs and expand the range of design choices for consumers through detailed design contests for design professionals, ordinary people and housewives. Fourth, when recommending a product to an acquaintance, you should make a recommendation considering the members of the household, individuality, and taste. Fifth, the company will have to push forward the diversification of prices as well as the diversification of products. Finally, companies will have to set up marketing strategies that meet consumers' needs, such as expanding point reserves for products, hosting promotions and one-plus-won events with friends.

• Journal of Information Technology Services
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• v.19 no.3
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• pp.75-87
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• 2020

This study empirically investigates the design factors that could engender positive impacts on consumers' user experiences with respect to trust, attitude, and intent to purchase a product promoted in the virtual reality (VR) e-commerce environment. Guided by previous literature, we specifically test the role of schema congruity due to the design of the space and virtual agent on trust, attitude, and purchase intention in the context of VR e-commerce. To test the effect of the congruency between user's schema and virtual environment design on user intentions, a 2 × 2 mixed ANOVA design experiment was conducted with place creativity (Low vs. High) as a within factor and workplace attire (Casual vs. Formal) as a between factor. The result showed support for the effect of schema congruity on trust, in that interaction of the two factors were found. Significant positive relationship between trust, attitude, and purchase intention was found. Further implications are discussed based on results.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.4
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• pp.375-382
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• 2011

Nowadays computer graphic softwares have opened a lot of potential by providing parametric modeling and generative algorithms which are useful not only to describe various geometrical shapes but also to implement a designer's intent in terms of modules systematically. This study has proposed a way of developing a module for generating preliminary structural configuration using such potential computer graphics. Especially parametric modeling and generative algorithm are utilized to define various design alternatives, and moreover use of dynamic graphics enables designers to generate a structural form on one side and a force flow diagram correspondingly provided on the other. This ultimately leads to rational preliminary design of a structural form considering its force flow.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.1
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• pp.47-57
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• 2019

The purpose of the study was to explore effective satisfaction factors for continuous partnerships between fashion companies and artists. A questionnaire was developed by the researchers and results were collected from a total of 273 people who were working for a fashion company or working as an artist. Data was analyzed by the use of a frequency test, a reliability test, an exploratory factor analysis and a structure equation model analysis using AMOS 18.0. The results of the study were as follow. First, profitability and adequacy had significant effects, but awareness had no effect on confidence concerning the partnership. Second, awareness and profitability showed significant effects, but adequacy showed no effect on the flow among those in the partnership. Third, confidence had a significant effect on flow. Fourth, among the partnership factors, confidence and flow had significant effects on partnership satisfaction. Fifth, flow showed a significant effect on the intent for a continuous partnership, but confidence showed no effect.

• Journal of Smart Tourism
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• v.3 no.1
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• pp.41-47
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• 2023

Tourism and hospitality have encountered significant changes in recent years as a result of the rapid development of information technology (IT). Customers now expect more expedient services and customized travel experiences, which has intensified competition among service providers. To meet these demands, businesses have adopted sophisticated IT applications such as ChatGPT, which enables real-time interaction with consumers and provides recommendations based on their preferences. This paper focuses on the AI support-prompt middleware system, which functions as a mediator between generative AI and human users, and discusses two operational rules associated with it. The first rule is the Information Processing Rule, which requires the middleware system to determine appropriate responses based on the context of the conversation using techniques for natural language processing. The second rule is the Information Presentation Rule, which requires the middleware system to choose an appropriate language style and conversational attitude based on the gravity of the topic or the conversational context. These rules are essential for guaranteeing that the middleware system can fathom user intent and respond appropriately in various conversational contexts. This study contributes to the planning and analysis of service design by deriving design rules for middleware systems to incorporate artificial intelligence into tourism services. By comprehending the operation of AI support-prompt middleware systems, service providers can design more effective and efficient AI-driven tourism services, thereby improving the customer experience and obtaining a market advantage.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.414-422
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• 2011

IR (Information Retrieval) systems have the methods that compare relationships between query and index to identify document that may be fit to the user's query keyword. However, the methods usually ignore the importance of relations that are not expressed in the query. Therefore, in this study, we describe how to refine the queries' relation from keyword and to reveal the hidden intent. A useful relationship between query and keyword in IR wth studied and we classified the tion fromrelation. Firstfromall, we did researchmrelated on semantic relationship and ontolhiical researchmin foreign and domestic research, and also analyzed semantic network practices, information retrieval technolhiy, extracted and classified the tion fromrelationships s' relasite's real-world datamin whichminformation retrieval technolhiin fare applied. Next, we souiht to solve the problems occurred frequently i' relasituation that searchers tioically face. I' relacurrent search technolhiy, the mesh searchmresult fare poured by simply comparn ina query with index terms. Therefore, the need for an intelligent search fittn inusers' intent is required. The relationships between two queries to re hiddee and identify relasearcher's intent have to be revealed. By analyzn inthe practical cthes s' queries and classifyn inthem into nine kind fromrelationship tion, we proposed the method to design relation revealn inand role namn i, and we have also illustrated limitations of that methods.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.397-404
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• 2021

The web-based crowdfunding platform provides small-cap companies the opportunity to reduce financial risks and to reliably produce new products through pre-orders. Meanwhile, crowdfunding projects are also helping companies as a channel to test new products before mass production. Despite these advantages, from the point of view of businesses and consumers, it is true that web-based crowdfunding platforms have limitations in the retail environment. For example, the limited social elements of a web-based platform are somewhat in conflict with the basic characteristics of crowdfunding projects - which inevitably demand high social influences for the success. As such, understanding the mechanisms of social factors of crowdfunding platforms from the consumers' perspective is important. Therefore, in this study, we empirically tested the effect of social factors of crowdfunding platform on consumer participation and evaluation. Based on the Social Influence Theory and Social Presence Theory, we developed a conceptual framework where the social group size and social presence of other backers were the independent variables and the purchaser's intention to participate as the dependent variable. In the results, the size of the social group size and the perceived social presence have a significant positive effect on purchaser's participation intent. In addition, the social presence had a greater influence on the purchaser's intention to participate than the size of the sponsor's social group. We believe that our findings contribute to the extant literature by empirically demonstrating the valid effect of social factors of crowdfunding platforms on consumer evaluations.