• The Journal of the Korea Contents Association
• /
• v.18 no.6
• /
• pp.283-293
• /
• 2018

The purpose of this study is to examine the effects of psychological distances on the consumer attitudes related to new product advertising based on the construal level theory. In particular, this study intends to test the interaction effects among models' nationalities, the newness of new products and message types on the Chinese consumer attitudes toward the advertisements or products. Perceived cultural distances were also considered to have moderating role on the interaction effects. The results indicated that the fits of psychological distances led more positive attitudes. Consumers showed more positive attitudes toward abstract(vs concrete) advertising with foreign models. In the domestic model advertising, consumer attitudes were enhanced when concrete(vs abstract) messages were provided. The findings also demonstrate that the influences could be different according to perceived cultural distances.

• Journal of Convergence for Information Technology
• /
• v.9 no.3
• /
• pp.16-21
• /
• 2019

Small and medium-sized Korean companies are currently changing their industrial structure faster than in the past due to various environmental factors (such as securing competitiveness and developing excellent products). In particular, the importance of collecting and utilizing data produced in smart factory environments is increasing as diverse devices related to artificial intelligence are put into manufacturing sites. This paper proposes an artificial intelligence-based smart factory model to improve the process of products produced at the manufacturing site with the recent smart factory. The proposed model aims to ensure the increasingly competitive manufacturing environment and minimize production costs. The proposed model is managed by considering not only information on products produced at the site of smart factory based on artificial intelligence, but also labour force consumed in the production of products, working hours and operating plant machinery. In addition, data produced in the proposed model can be linked with similar companies and share information, enabling strategic cooperation between enterprises in manufacturing site operations.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.7
• /
• pp.2963-2968
• /
• 2011

Plastic injection products have been widely used in various electronic appliances and high-tech commodities. However, plastic injection product manufacturers have to spare no efforts to shorten new product development period to introduce new products into the market ahead of other competitors, gaining competitiveness and satisfying customers. The manufacturers cannot only get big target market share rapidly but also the advantage of leading the product price in order to survive in highly competitive market. This paper proposes the cost estimation approach of feature-based plastic injection products by using hybrid artificial neural network and genetic algorithm. The proposed method is to dramatically simplify and shorten the complex conventional cost estimation procedures and the requested computation parameters of plastic injection products. The case study demonstrates the efficiency and effectiveness of the proposed model in solving the cost estimation problem of plastic injection products at the development stage.

• The Journal of the Korea Contents Association
• /
• v.21 no.7
• /
• pp.386-403
• /
• 2021

Preannouncing a new product to its target audiences has been more and more prevalent in a wealth of industries, particularly industries that attach great importance to the speed of entry. Grounded in market signaling theory, the current research advances a theoretical model that takes full cognizance of the relation between preannounced information about an upcoming product and individual customers' behavioral intentions as well as significant moderating effects of prior product knowledge and new product innovativeness. In response, a web-based survey is conducted for data collection and the structural equation model is utilized for data analysis. Results of this study demonstrate that preannounced new product information attributes (i.e., quantity, clarity) may positively influence consumers' attitudes, in turn, lead to a favorable purchase intention. Moreover, the moderating effects of product knowledge and product innovativeness are also confirmed. Specifically, product knowledge moderates the quantity-attitude relation positively and moderates the clarity-attitude relation negatively, whereas product innovativeness does opposite. Both implications and limitations are also described.

• Journal of Global Scholars of Marketing Science
• /
• v.15 no.1
• /
• pp.81-103
• /
• 2005

This study intends to examine whether consumers, especially buying apparel product postpone purchase in the beliefs of price break in the near future. For this research objectives, the dynamic price expectation effect model for apparel product is proposed and is applied to weekly sales data and price information of 43 women's apparel brands from a department store over the spring season. The main results are summarized as follows. 1. Dynamic price expectation effect model is developed and the model is more robust to apparel product than Gutenberg model, which is not considered these conditions. 2. By applying the model to empirical data, we find out the price expectation effect in the apparel product; concretely there are 23 brands out of 43 brands. This study confirms the price expectation effects in the apparel product theoretically and extends the research boundary of price expectation effects.

• Journal of the Korea Convergence Society
• /
• v.10 no.7
• /
• pp.169-174
• /
• 2019

Because the warm and cozy demand of automotive driving seat increases, the research development of heating seat has been actively made. In this study, the thermal stress analysis and the structural analysis were carried out with three kinds of heating seats of A, B and C. By executing the thermal analysis with the same material, model A was shown to have the heat transfer better than model B or model C at the study result. So, it could be seen that the heat transfers became different each other though models had the same material according to the configuration of product. Adding the hot wire in order to expect the safer heating can be better heating, but there is the limit on the aspect considering the capability in contrast to the price of product. Generally, model B is thought to be safest thermally than model A or model C in every respect. As the design data of the automotive heating seat product with the durability and safety acquired by this study result are used, the artistic environment can be promoted by being grafted onto the automotive driving seat.

• Journal of Korea Society of Industrial Information Systems
• /
• v.26 no.1
• /
• pp.55-65
• /
• 2021

In this paper, a methodology for reinforcing reverse logistics (RL) activities in a closed-loop supply chain (CLSC) model is proposed. For the methodology, the activities of the recovery center (RC) which can be considered as one of the facilities in the RL are reinforced. By the reinforced activities in the RC, the recovered parts and products after checking and recovering processes of the returned product from customer can be reused in the forward logistics (FL) of the CLSC model. A mathematical formulation is suggested for representing the CLSC model with reinforced RL activities, and implemented using a hybrid genetic algorithm (HGA) approach. In numerical experiment, two different scales of the CLSC model are presented and the performance of the HGA approach is compared with those of some conventional approaches. The experimental results show that the former outperforms the latter in most of performance measures. The robustness of the CLSC model is also proved by regulating various rates of the recovered parts and products in the RC.

• The Journal of the Korea Contents Association
• /
• v.10 no.6
• /
• pp.156-165
• /
• 2010

ESM(Enterprise Security Management) is representing domestic security management, and there is requirement to enhance it. This paper will evaluate quality of ESM products, understand its quality level, and derive method to improvement so as to develop security evaluation model and test methodology which can support quality enhancement. In addition, it presented the performance test cases and evaluation method to measure product's security quality, and to perform research on the judgement method for the results based on appropriate criteria. Developed quality evaluation model is expected perform important role in evaluating and enhancing the quality of intrusion prevention system.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.13 no.2
• /
• pp.149-155
• /
• 2013

In these days, Entity-Relationship Model is the most popular modeling tool for designing databases, and XML is a de facto standard language for representing and exchanging data. But, because of many commercial products supporting Entity-Relationship Model use their's own representation formats, and thus it gives rise to difficulties the inter-operability between these products. In this paper, we propose an ERX, a generation tool of XML Schema from Entity-Relationship Model. ERX receives an Entity-Relationship Diagram as an input, transforms it based on transformation rules, and generates a XML Schema Definition as an output. Transformation rules contain entity set, relationship set, mapping cardinalities, and generalization.

• Journal of the Society of Naval Architects of Korea
• /
• v.31 no.3
• /
• pp.19-30
• /
• 1994

The modeling of a product data is becomming more and more important in engineering environment, especially for the development of CAD/CAM system as a basis of computer integrated manufacturing system. Model is a formalized representation of the real world, and modeling is the task to identify, abstract, and formalize the product information into an unambiguous representation. In this study, the piping system, one of typical product of ship outfitting system, is modeled. The STEP idea is followed to provide a common mechanism to represent the product information throughout the life-cycle, and the object oriented paradigm is used in the analysis and design of the model. The definitions given within this model are independent of the specific application domain so that the same methodology can be used for other purpose.