• The Research Journal of the Costume Culture
• /
• v.16 no.5
• /
• pp.955-962
• /
• 2008

This article is about the naming method for fashion product in cyber shopping mall. For two months, the name of fashion product is listed and analyzed, from BEST 100 category in cyber shopping mall. SPSS ver.10.0 is used and frequency, spearman raw test and t-test are done. The fashion product names are arranged in naming method. There are four kinds of methods for fashion product naming; describing, associating, bundling and style numbering. Describing is most used method both cyber shopping mall. Between marketplace cyber shopping mall and merchant, there is significant difference in composition of naming. Bundling naming method is more used in marketplace cyber shopping mall, and describing and style numbering method is used often in merchant. The words which are composed the name of fashion product are divided in a single word and arranged. The words for describing are classified in noun and adjective. Noun is used for depicting textile and construction and adjective is for touch and image. There is no difference for using words between marketplace and merchant.

• Journal of the Korean Society for Precision Engineering
• /
• v.20 no.3
• /
• pp.221-229
• /
• 2003

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making fer the conceptual product design and the best alternative can be selected based on its estimated LCA and its benefits. Both the lack of detailed information and time for a full LCA fur a various range of design concepts need the new approach fer the environmental analysis. This paper suggests a novel approximate LCA methodology for the conceptual design stage by grouping products according to their environmental characteristics and by mapping product attributes into impact driver index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for new design products. The training is generalized by using product attributes for an ID in a group as well as another product attributes for another IDs in other groups. The neural network model with back propagation algorithm is used and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines fer the design of environmentally conscious products in conceptual design phase.

• Knowledge Management Research
• /
• v.22 no.2
• /
• pp.95-117
• /
• 2021

In this study, we investigate which alternatives to choose when giving a gift, according to the giver's relationship with the receiver. In particular, we study which alternatives are preferred when the prices are approximately the same: products with high-brand status but low-model ranking or products with low-brand status but high-model ranking. Leclerc, Hsee, and Nunes(2005) conceptualized the relative preference between a low-ranking model of a high-status brand and a high racking model of a low-status brand. The category effect is the preference for lower-ranking models of high-status brands. Meanwhile, the ranking effect refers to the preference for higher-ranking models of low-ranking brands. Based on construal level theory, the current study suggests that the category and ranking effects vary depending on the giver's relationship (vertical vs. horizontal) and intimacy (distant vs. close) with the person who will receive the gift. We manipulate the relationship and intimacy of the subject receiving the gift and verify the interaction effect. Results reveal that the giver exhibited a category effect in vertical relationships in which the psychological distance was far from the relationship. However, the ranking effect was found in horizontal relationships in which the psychological distance was close. Lastly, the gift selection significantly depends on the level. Overall, this study showed that when choosing a gift, the selection of a low-ranking model of a product from a high-tier brand or a high-ranking model from a low-tier brand might vary depending on the type of relationship and the level of intimacy. In addition, our findings provided managerial implications in targeting and marketing communication strategies based on product status.

• Asia Marketing Journal
• /
• v.9 no.2
• /
• pp.49-95
• /
• 2007

The "cause-related marketing (CRM)," generally defined as a mutually beneficial relationship between a company and a non-profit relationship or a social cause, which is perhaps the most progressive outgrowth of marketing trend. This paper contributes to, and looks at the practical issues of CRM and its effect on the brand attitude of the customer. To do so, following three broad research questions have been addressed. Which cause-related orientation is effective on customer's attitude of the brand? Which type of cause-related message provides crucial impact on customer's attitude of the brand? How product category acts upon and brings about different consequences on CRM? To address these questions, a causal model has been developed incorporating message type, product relevance, social significance, and brand attitude. The study model was tested with survey data collected from 400 career professionals and students in Seoul and statistically processed the 176 valid ones. The results of the study considerably supported the conceptual model. The analysis also revealed that the study population was not able to detect the differences in CRM strategies but tend to conceptualize them as a whole.

• Environmental Engineering Research
• /
• v.12 no.5
• /
• pp.203-210
• /
• 2007

Since the emissions composition from the household products have potentially been associated with health risks for building occupants, the chemical composition emitted from the products should be surveyed. The current study identified the emission composition for 42 liquid household products, using a purge-and-trap method. This evaluation was done by classifying the household products into five product classes (deodorizers, household cleaners, color removers, pesticides, and polishes). Nineteen compounds were chosen on the basis of selection criteria. The quality control program for purge-and-trap and analytical systems included tests of laboratory blank Tenax traps and blank water samples, and the determination of calibration equation, measurement precision, method detection limit (MDL), and recovery. The number of chemicals varied according to the product categories, ranging from 4 for the product category of bleaches to 12 for the product categories of air fresheners and nail color removers. For all product categories, the emission composition and concentrations varied broadly according to product. It is noteworthy that most household products emit limonene: 19 of 25 cleaning products; 5 of 6 deodorizers; 1 of 3 pesticides; 3 of 3 color removers; and 4 of 5 polishes. It was suggested that the use of household products sold in Korea could elevate the formation of secondary toxic pollutants in indoor environments, by the reaction of limonene with ozone, which entered indoor environments or might be generated by indoor sources such as electronic air cleaning devices and copying machines.

• The Journal of Society for e-Business Studies
• /
• v.11 no.3
• /
• pp.35-51
• /
• 2006

Information visualization plays an important role to provide a conceptual comprehension of the information and should be adjusted and featured to reflect the characteristics of the domain to which it is applied. Product searching in e-Commerce is not an exception. In this paper, we present visualization techniques that are specified for effectively browsing the results of product searching. We considered visualization techniques including MapNet and Cluster Map and modified them to reflect the characteristics of the product domain. We consider two types of search queries: category searching and product property searching, and make it possible to include more detailed product semantics in their search criteria. We also provide a query refinement mechanism so that even users with rack of understanding the products may rewrite their queries for better results.

• Asia pacific journal of information systems
• /
• v.29 no.4
• /
• pp.838-855
• /
• 2019

Online product reviews are a vital source for companies in that they contain consumers' opinions of products. The earlier methods of opinion mining, which involve drawing semantic information from text, have been mostly applied in one dimension. This is not sufficient in itself to elicit reviewers' comprehensive views on products. In this paper, we propose a novel approach in opinion mining by projecting online consumers' reviews in a multidimensional framework to improve review interpretation of products. First of all, we set up a new framework consisting of six dimensions based on a marketing management theory. To calculate the distances of review sentences and each dimension, we embed words in reviews utilizing Google's pre-trained word2vector model. We classified each sentence of the reviews into the respective dimensions of our new framework. After the classification, we measured the sentiment degrees for each sentence. The results were plotted using a radar graph in which the axes are the dimensions of the framework. We tested the strategy on Amazon product reviews of the iPhone and Galaxy smartphone series with a total of around 21,000 sentences. The results showed that the radar graphs visually reflected several issues associated with the products. The proposed method is not for specific product categories. It can be generally applied for opinion mining on reviews of any product category.

• Culinary science and hospitality research
• /
• v.22 no.1
• /
• pp.108-116
• /
• 2016

Halal market has been growing tremendously recently. The food products occupies the most share in the Halal market category. The phenomenon could be explained by the increased number of consumer among Halal products. Apart from Muslims, who consumes Halal product due to religious obligations, it is assumed that non-Muslims have also started consuming Halal products, especially food items. Halal food products have been perceived as safer, animal friendly and environmental sustainable. Hence, the awareness of Halal principles, Islamic Brand, moral obligation animal welfare and food safety have been studied in this research in order to investigate the influence of Halal food product purchase intention among non-Muslim consumer using quantitative research method. Food safety has been identified to be the most significant in predicting the purchase intention of Halal food product. Furthermore, future studies are suggested to include additional variables such as habit and self-awareness.

• Journal of Information Technology Applications and Management
• /
• v.31 no.1
• /
• pp.57-77
• /
• 2024

The aim of this research is to examine the impact of trust in reviews. Expertise, enjoyment, recency, and usefulness-four aspects of reviews-are designated as independent variables, and trust in reviews has been chosen as the mediating variable. The dependent variables are trust in firms and trust in products. For explaining the flow of trust, this study uses the theory of Trust Transfer. The study's findings demonstrated that customer trust in a product leads to consumer trust in a company, which is derived from trust in reviews. Reviews were found to be important from a practical standpoint. Furthermore, it was discovered that a product's category or features would have an impact on how reviews are trusted.

• Journal of the Society of Cosmetic Scientists of Korea
• /
• v.32 no.1 s.55
• /
• pp.1-6
• /
• 2006

Through mapping the HS code to category of Korean legal system, Korean cosmetic market in 2004 was as fellow; domestic demand size (=production-export+import) is 3,272 billion Won that was decreased 5.6% compared with previous year. The sum of production and import of cosmetics are decreased 0.6% and 4.4%, respectively, compared to last you, but that of import is increased 55.7% dramatically. Among the export items, the amounts of shaving and hair treatment exhibit high growth rates. The fragrances, hair dye and make-up products show huge negative growth rates, but baby product and nail care grow positively in domestic demand records. Market share of imported product is overall 17.8%. Fragrances, hair dye and bath product share large market, respectively.