• Asian Journal of Business Environment
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• 제1권1호
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• pp.13-20
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• 2011

This study is conducted to verify existing differences in consumer attitude according to distributor type and PB product type. Pre-test was conducted for this study in order to select the distributor and to classify the product type, FGI was conducted with 10 graduate students of K university in Kyong-gi. This study survey housewives, office workers, and university students excluding the participants in the pre-test. In the final analysis, research hypothesis is verified through the data of 280 answers in Korea. This research is conducted with a factor design of 3 types of distributors -department store, discount store, convenience store-and 2 types of product -utilitarian product, hedonic product. To verify the hypotheses, ANOVA is carried out. Reliability test of each measurement variables, Cronbach α coefficient is used. For each analysis, SPSS Windows 15.0 statistical program is used. The findings suggest that First, according to the size and characteristics, distributors are classified into department stores, discount stores, and convenience stores and it is verified whether if there are differences in consumers' attitude (product attitude, brand attitude and purchase intention) by the effect of different distributors. Results showed that product attitude is statistically significant. Second, product type is classified by two categories according to whether the product seeks for practicality or emotional pleasure - Utilitarian product and Hedonic product. In this context, the result after verifying whether if there is difference in the attitudes -product attitude, brand attitude, and purchase intention - in accordance with the product types is shown that utilitarian products makes bigger difference compared to hedonic products. Third, it is confirmed that there is interaction effect between product attitude and purchase intention according to the distributer type and product type. However, we find that in terms of brand attitude, there is no interaction effect. The implications of this research is as the following. First, we propose the need of PB product development and marketing strategy, which considers the product types in accordance with the scale and features of each distributor. Second, PB products should break away from the simplicity of standardized products and consider the different features of distributors. Distributors will be in need of a strategy to build a compelling brand that can differentiate itself from other distributors. This will contribute to the improvement in reliability and formation of product value.

• 한국잠사곤충학회지
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• 제33권2호
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• pp.100-102
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• 1991

제사공정의 부잠사 처리폐수에 대하여 그 성상과 추출 유지성분을 분석한 결과 1. 부잠폐수의 COD 605mgO/$\ell$ 총 용존 고형물량 2,335mg/$\ell$ 총 부유 고형물량 2,234mg/$\ell$이었다. 2. 부잠폐수의 지질에는 triglyceride가 76.8%로 가장 많이 함유되었으며 유리 지방산 12.5%와 diglyceride 5.7% free sterol 5.0% 순이었다. 3. 부잠폐수지질의 지방산 조성은 oleic acid, linolenic acid와 linoleic acid의 함유율이 64.93%로 가장 많이 함유되어 있고 palmitic acid 29.39% stearic acid 4.93%의 순이었다.

• Korean Chemical Engineering Research
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• 제48권4호
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• pp.475-482
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• 2010

화상분석(image analysis)을 이용하여 제품의 외관(外觀) 품질을 정량적으로 추정할 수 있는 소프트 센서를 설계하고, 이를 제품의 품질 모니터링에 적용하는 연구를 수행하였다. 여기에 사용된 방법론은 크게 다음의 세 단계로 구성되어 있다: (1) 웨이블릿 변환(wavelet transform)을 이용한 화상으로부터의 질감(texture) 특징 추출, (2) 추출된 질감특징의 부공간 투영(projection on subspace)을 통한 제품 외관의 추정, 그리고 (3) 질감특징의 잠재변수(latent variables) 즉, 외관의 수치적 추정치를 목적에 맞게 사용. 이 방법에서는 제품의 외관을 서로 다른 불연속적인 부류로의 분류 보다는, 연속적인 외관 변화를 일관적이고 정량적으로 추정하는데 초점을 두고자 한다. 이 방법은 인조대리석 외관의 수치적 추정과 품질 모니터링 적용사례를 통해 설명되었다.

• 한국IT서비스학회지
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• 제17권2호
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• pp.191-205
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• 2018

With the advancement of artificial intelligence (AI) techniques, many consumer products have adopted AI features for providing proactive and personalized services to customers. One of the most prominent products featuring AI techniques is a smart speaker. The fundamental of smart speaker is a portable wireless Internet connecting speaker which already have existed in a consumer market. By applying AI techniques, smart speakers can recognize human voices and communicate with them. In addition, they can control other connecting devices and provide offline services. The goal of this study is to identify the impact of AI techniques for customer rating to the products. We compared customer reviews of other portable speakers without AI features and those of a smart speaker. Amazon echo is used for a smart speaker and JBL Flip 4 Bluetooth Speaker and Ultimate Ears BOOM 2 Panther Limited Edition are used for the comparison. These products are in the same price range ($50~100) and selected as featured products in Amazon.com. All reviews for the products were collected and common words for all products and unique words of the smart speaker were identified. Information gain values were calculated to identify the influences of words to be rated as positive or negative. Positive and negative words in all the products or in Amazon echo were identified, too. Topic modeling was applied to the customer reviews on Amazon echo and the importance of each topic were measured by summating information gain values of each topic. This study provides a way of identifying customer responses on the AI feature and measuring the importance of the feature among diverse features of the products.

• 정보처리학회논문지D
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• 제13D권2호
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• pp.279-286
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• 2006

인터넷 쇼핑몰에서의 상품 추천을 위해 널리 사용되는 방식 중 한 가지는 상품의 특성과 고객의 특성을 비교하여 고객에 맞는 상품을 추천하는 방식이다. 이 방식은 상품이나 고객의 특성을 표현하는 자질(Feature)의 개수가 많을수록 그 중에 어떤 자질을 선택해야 더 좋은 추천 성과를 가져올 수 있는지 파악해 내는 것이 추천의 효과 및 효율성 측면에서 중요하지만 아직까지 충분히 연구되지 않은 실정이다. 본 연구에서는 인터넷 서점에서의 가상 구매실험을 바탕으로 사용자가 구매한 책 들에서 사용자를 잘 나타낼 수 있는 자질을 선택하는 방식에 대해서 벡터 스페이스 모형, TFIDF(Term Frequency-Inverse Document Frequency), Mutual Information, SVD(Singular Value Decomposition) 방식 등을 활용하여 실험하고 그 결과를 비교해본다. 실험 결과 SVD를 응용한 자질 추출 기법이 가장 좋은 성능을 나타내었다.

• 패션비즈니스
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• 제15권6호
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• pp.163-175
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• 2011

This study tried to improve the design of the symbol mark for the fashion industry and effectively publicize the brand image of a small fashion accessory company through a powerful visual communication strategy. For this purpose, this study performed research and an analysis of the features of existing fashion accessory companies as well as the current status and features of their utilization of symbol marks for the enhancement of the brand's image. Total 48 fashion accessory brands focued on jewerly were selected from the Dictionary of Fashion Brand and the types of symbol analyzed the concepts and formative aesthetics of the symbol mark design in each brand. Based on the data, this study designed the fashion accessory company's logo and a new symbol mark design. It makes full use of the characteristics of the logos and the symbol mark that reflect the most critical issues of fashion accessory design so as to promote the consumers' level of product recognition as well as the product symbol characteristics. In the case of combining characters with concrete objects, they were found generally to use objects that give elegance, cute and feminine images, such as rings, hearts and small pets. Moreover, colors in the series of black/grey seemed to be used to convey the concept of accessory brands that pursue modern, sophisticate, and practical images. As these design plans, enhancement of the consumers' level of recognition of the brand is attempted as well as the execution of an effective publicity of the feature of the product through the use of the logo and symbol marks reflecting the features of the fashion accessory, instead of simply introducing the brand or product. The result of this study indicates that methods to design brand symbol marks for clothing should be incessantly sought in a way to build brand power as an important component to represent concepts and reinforce brand image.

• 산업경영시스템학회지
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• 제14권24호
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• pp.133-139
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• 1991

If the specifications of product. in general. art determined too wide. the precision of product becomes diminished. Otherwise it costs dearly to keep the precision. Therefore, It is realistic to consider various factors in determining specification of qualify characteristics TAGUCH Idefines quality of an object as "Quality is the loss that a product causes to society after being shipped. other than any losses caused by its intrinsic function". Particularly, to improve the performances of product TAGUCHI focuses his attention on the product design and process design which enable the functional characteristics of product to he robust to noises. In this paper, by the TAGUCHI's loss function, the characteristics which affect the variation of a product performance are classified into the scrappable characteristics and the reworkable characteristics when the target values of functional characteristics have been determined. And we will determine the tolerance of each characteristic which minimize the quality cost by the cost function which considers the economic factors and probability features of each characteristic.cteristic.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.148-158
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• 2020

With the limited product information available in the m-shopping context, product-naming strategies affect consumer choices by expressing the key product features or the brand's images. Given the increasing dominance of the mobile commerce in consumption across various product categories, few studies have examined the role of product naming in consumer choices in the m-shopping. In filling the research gap, this study empirically analyzes the influence of the perceived diagnosticity of product names in m-shopping on consumer attitude towards the product. Moreover, the study tests the moderating influences of the individual characteristics of consumers (i.e., age, gender, and m-shopping experience) in the dynamics of the perceived diagnosticity impacting the product evaluations. The results of the study using an online survey reveal that the perceived diagnosticity of the product names significantly increases consumer attitude towards the product. Additionally, the moderating effects of gender, age, and m-shopping experience are all found significant: (1) The positive influence of the perceived diagnosticity of the product names is greater for males than for females. (2) The older the respondent, the more statistically significant the positive influence on diagnosticity. (3) The more respondents having m-shopping experience, the more positive the impact of the diagnosticity. Implications and limitations of the study are discussed.

• 디자인학연구
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• 제19권2호
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• pp.63-72
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• 2006

현대 산업 사회에서의 디자인은 기업경영전략의 핵심이자 국가 경쟁력을 결정짓는 중요한 요소이다. 그리고 소비자의 제품 구매의사 결정과정을 디자인 측면에서 보면 제품의 구매과정은 소비자가 선호하는 디자인제품을 가지고 싶다는 디자인 인식 문제로서, 이러한 현상은 제품의 기술적 기능보다는 제품의 심미성이 제품 디자인에 중요한 특성이 되고 있다는 사실을 말해주고 있다. 따라서 디자인 과정에서 가장 중요한 요소라고 할 수 있는 소비자 선호요인의 심미성분석을 통하여 규명함으로써, 새로운 차원의 제품 디자인의 전개가 절실히 요구되고 있다. 본 연구는 소비자의 제품선호도와 제품 평가에 영향을 주는 심미성요소를 규명하기 위해 심미성요소에 관한 선행연구와, 제품디자인의 소비자 반응에 대한 고찰을 통해 소비자 선호요인의 중요성을 파악하였다. 그리고 실증연구에서 한국 중국소비자의 7가지 가전제품을 대상으로 각 제품별 선호도 조사와 선호디자인의 심미성 평가를 통하여 소비자의 선호도에 영향을 미치는 심미성요소와 각 제품별로 중요시 여겨지는 심미성요소를 도출하였다. 본 연구는 한국과 중국 소비자들이 선호하는 제품들이 어떠한 심미성요소를 가지고 있는 지와 소비자 선호에 중요한 영향을 미치는 심미성요소를 밝혀 제품디자인에 있어 심미성요소의 가이드라인을 제시하고, 한국과 중국을 대상으로 한 제품디자인 시 활용할 수 있는 자료를 제공하고자 한다.

• 대한인간공학회지
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• 제27권2호
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• pp.59-65
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• 2008

Product usability consists of many attributes such as learnability, efficiency, memorability, and so on. In particular, learnability is one of the most important attributes in product usability. Therefore, many people consider the primary criterion for a good user interface to be the degree to which it is easy to learn. Learnability represents the degree of how much can easily learn the usage of a product. It concerns the features of the interactive system that allow novice users to understand how to use it initially and then how to attain a maximal level of performance. In this study, we studied on the application of learning curve to evaluate product learnability. In order to validate the applicability, we carried out simple experiment using mobile phone. We got task completion times through the experiment and predicted the times using learning curve model. And then, we compared prediction times to task completion times. Finally, we identified that learning curve could apply to predict and compare product learnability.