• Journal of the Korean Society of Clothing and Textiles
• /
• v.27 no.9_10
• /
• pp.1036-1047
• /
• 2003

This study was carried out in the purpose of proposing internet marketing strategy which can make conversion rate higher through analysis of internet shopping behavior types. This study was executed in two stages; qualitative study, quantitative study. In the qualitative study, internet shopping behavior types were investigated through the In-depth interview and direct observation, and then in the quantitative study, differences of internet shopping behavior types according to consumer characteristics, product properties and shopping-mall types were examined. For qualitative study, 30 samples by focus sampling were inquired and for quantitative study, 334 data were collected through web survey. The results of this study are as follows: First, 7 Internet shopping behavior types of apparel were found through the qualitative study: cautious purchase by price comparison, searching purchase, special low price purchase, impulse purchase, prepurchase deliberation, information accumulation, recreation-oriented. Second, in relation to consumer characteristics, consumers that have many internet purchase experiences showed goal-directed behavior more and female did more special low price purchase behavior and impulse purchase behavior than male. Third, according to product properties, high price product led more cautious purchase by price comparison & prepurchase deliberation behavior and fashionable product led more information-searching behavior. In the case of low price and fashionable products, impulse purchase behaviors were showed more. Forth, according to Internet shopping mall types, category killer shopping mall visitors showed information search behavior, recreation-oriented behavior more.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.939-945
• /
• 2020

This study aims to develop propositions about the factors that influence the purchase intention of private label products. These factors are: in-store promotion, visual merchandising, store image, and customer value. This study elaborates on some of the results of previous studies that have examined the factors that influence purchase intention of private label products that have been published on Google Scholar and indexed by Scopus between 1991- 2020, to develop a proposition. This paper fills a lack of Studies which discuss purchase intention from a consumer behavior perspective. From the perspective of consumer behavior, purchase intention is influenced by three factors, namely: intrinsic factors including: consumer value, extrinsic factors including: in-store promotions, visual merchandising and store image, and consumer factors. This paper defines purchase intention as the effort and strong urge to buy a particular product in the future, the possibility of considering buying the product, the decision to rebuy the product and the desire to recommend the product. The main findings of this research are several propositions, namely: in-store promotion, visual merchandising and store image directly affect customer value and purchase intention. The following propositions are: In-store promotion, visual merchandising and store image influence purchase intention mediated by customer value.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.613-620
• /
• 2020

COVID-19 pandemic has made the economy in Indonesia sluggish, especially Small and Medium Enterprises (SMEs). Simultaneously, the SMEs existence in Indonesia is fundamental and considered important by the government since it is able to assist numerous laborers and become an income source for the lower and middle classes of the community. The productivity of SME in a region will undeniably influence the availability of job and, of course, reduce the number of unemployed. Therefore, in this study, the researchers looked at how to improve SMEs performance to continue to exist amid the COVID-19 pandemic, by identifying the relationships between product characteristics, market competitive strategies, and the performance of SMEs. The research was done on SMEs in West Java, Indonesia. The example employed was Batik SMEs in Cirebon with at least 10 years in existence, and the total number of these SMEs was 165. As the basis of a quantitative approach, this study employed survey instruments by distributing a questionnaire. In analyzing the data, it utilized the structural equation modeling (SEM). The result showed a significant relationship between Product Characteristics, Market Competitive Strategy, and Price and Product Success Rate on SMEs Performance. This study's findings contribute to the SMEs performance literature.

• Journal of the Ergonomics Society of Korea
• /
• v.30 no.5
• /
• pp.683-688
• /
• 2011

Objective: The aim of this study is to develop a distributed representative human model(DRHM) generation and analysis system. Background: DRHMs are used for a product with multiple-size categories such as clothing and shoes. It is not easy for a product designer to explore an optimal sizing system by applying various distributed methods because of their complexity and time demand. Method: Studies related to DRHM generation were reviewed and the RHM generation interfaces of three digital human model simulation systems(Jack$^{(R)}$, RAMSIS$^{(R)}$, and CATIA Human$^{(R)}$) were reviewed. Results: DRHM generation steps are implemented by providing sophisticated interfaces which offer various statistical techniques and visualization methods with ease. Conclusion: The DRHM system can analyze the multivariate accommodation percentage of a sizing system, provide body sizes of generated DRHMs, and visualize generated grids and DRHMs. Application: The DRHM generation and analysis system can be of great use to determine an optimal sizing system for a multiple-size product by comparing various sizing system candidates.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.9
• /
• pp.113-119
• /
• 2016

In this paper, a research model is proved empirically which includes factors related on the purchase intention of smart car as high innovative product in advance of commercialization. As one of relating to consumer's expectation benefit factors, individual attribute factor includes product knowledge, individual innovativeness, and sociality. Consumer's expectation benefit factor includes perceived ease-of-use, usefulness, and enjoyment. As of switching cost variables, there are financial, uncertainty, relational and psychological switching costs factors. Analysis were performed using data from the 257 respondents as random sampling among potential consumers. Purchase intention were affected by individual innovativeness mediated by perceived enjoyment, and individual sociality by perceived ease-of-use and enjoyment also. Relational switching costs factor was only a significant control variable between purchase intention with consumer's expectation benefit factor. This result presents some implications for making the new smart car's detail concept and marketing strategy related to targeting the consumer as high innovative product and technology firms including smart car makers.

• Korean Journal of Computational Design and Engineering
• /
• v.7 no.2
• /
• pp.131-139
• /
• 2002

Custom-tailored products always vary their sizes and shapes to satisfy the customers' tastes and requirements but they have to be fabricated as fast as possible when ordered. One way to solve this problem is to prepare several representative products in advance and each custom-tailored product is generated by machining the closest representative product. To realize this approach, it would be necessary to be able to group the products into several groups each of which has a representative product. Once the similar products are identified to be grouped, the representative shape can be generated such that all the products in the group can be made by machining the representative product. The custom-tailored products considered in this work have similar shapes but different sizes. Since these products have free surfaces, that are hard to be compared, their convex hulls are used for the grouping. Among all the products to be grouped, one product is chosen as a base shape. The shape and overall similarity values between the base shape and the remaining shapes are calculated as their convex hulls are rotated virtually. By calculating these similarity values at each rotation, the optimal alignment of the reference shape with respect to the base shape is determined. Overall similarity value at this optimal alignment is used as a measure for grouping. A prototype system based on the proposed methodology has been implemented and used to group the shoe-lasts for custom-tailored shoes.

• Korean Journal of Food Science and Technology
• /
• v.21 no.5
• /
• pp.686-690
• /
• 1989

Non sticky short grain rice was liquidized by ${\alpha}-amylase$ from Bacillus species after cooking 20min at $121^{\circ}C$ and a lactic acid bacteria fermentation proceeded. The product using mixed culture of S. thermophilus, L. bulgaricus and L. plantarum was superior than the one of any single or mixed culture. The most acceptable pH of it was 3.70. It is suggested that L. plantarum is more deeply related to the product quality. Skim milk promoted lactic acid fermentation but the quality of the final product was not acceptable in the result of sensory evaluation. The acceptable dilution rate of final product was 1:3 (rice: water) by weight.

• Korean Journal of Metals and Materials
• /
• v.50 no.5
• /
• pp.353-360
• /
• 2012

The corrosion product of archaeological iron objects is supposed to be removed because it causes re-corrosion. So far it is removed by scapel and sand blaster but they depend on the skill and experience of a conservator and the glass-dust of the sand blaster is harmful to humans. Therefore this study applies a laser cleaning system which is used in various industrial cleaning processes, to remove corrosion product from archaeological iron objects. In addition, this work studies the alternation of corrosion product after laser irradiation, which evaluates the reliability of the laser cleaning system. Optical microscopy, SEM-EDS, XRD, Raman have been used to observe and analyse the surface of the objects. The results show the capacity of laser cleaning some corrosion product, but blackening appears with increasing pulses and laser energy, and some corrosion products, goethite and hematite, are partially altered to magnetite. These problems, blackening and alternation of corrosion product, should be solved by further studies which find the optimal laser irradiation condition and use a wetting agent.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.42 no.6
• /
• pp.977-987
• /
• 2018

This study tests the effect of recommended product presentation on consumers' usage intentions of a website, mediated by mental simulation. Mental simulation refers to perceptual experience, a more automatic form of mental imagery, initiated by exposure to the representations of objects. This study expects that when compliments of clothes (coordination items) are vertically presented online, consumers are likely to feel as if they wear the outfits due to the activation of mental simulation. The survey was conducted on 147 women in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using exploratory factor analysis and bootstrapping analysis by SPSS 20.0. The results show that when compliments (vs. substitutes) of clothes are presented, participants perceive a greater mental simulation. When compliments of clothes are vertically presented (vs. horizontally presented), mental simulation is also highly driven. In addition, mental simulation mediates the effects of online product presentation on consumers' usage intentions of a website. The findings of this study contribute to marketing strategies of online retailers in terms of how product recommendation can be offered to consumers with more psychological benefits.

• Tribology and Lubricants
• /
• v.38 no.4
• /
• pp.128-135
• /
• 2022

In the product development process, the reliability of the product can be secured through durability tests. However, since the durability test method is expensive and time consuming, a method to save time and money by utilizing virtual product development (VPD) is required. However, research on the accuracy of the results of virtual product development is required. In this paper, an accelerated durability test was designed and conducted using a planetary gear decelerator. And an analysis model under the same conditions was created and simulated. To correlate the results of the experiment with the results of the analytical model, created a model that can discriminate the wear region using one of the data mining methods, the k-means algorithm method and HSV (Hue, Saturation, Value). The wear area is compared by counting the number of pixels defined as wear through a discrimination model. A similar ratio was calculated by comparing the pixel ratio of the area determined as wear in the entire area. It showed a similar ratio of about 70%, and it is necessary to improve the discrimination method.