• Journal of Digital Convergence
• /
• v.18 no.7
• /
• pp.101-110
• /
• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.9
• /
• pp.1293-1304
• /
• 2022

The personalization recommendation system means analyzing each individual's interests or preferences and recommending information or products accordingly. These personalized recommendations can reduce the time consumers spend searching for information by accessing the products they need more quickly, and companies can increase corporate profits by recommending appropriate products that meet their needs. In this study, products are recommended to consumers using collaborative filtering, matrix factorization, and deep learning, which are representative personalization recommendation techniques. To this end, the data set after purchasing shopping mall products, which is raw data, is pre-processed in the form of transmitting the data set to the input of the recommended system, and the pre-processed data set is analyzed from various angles. In addition, each model performs verification and performance comparison on the recommended results, and explores the model with optimal performance, suggesting which model should be used when building the recommendation system at the mall.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.10
• /
• pp.67-80
• /
• 2022

In this study, I analyzed the inducing and hindering factors of online shopping malls on browsers in the process of browsing fashion products in online shopping malls. In-depth interviews were conducted by presenting browsing-related questions to women in their 20s and 50s who are interested in browsing fashion products online. Based on the answers of the interviewees, using grounded theory, we analyzed and presented six factors such as price factor, promotion factor, purchase review factor, visual information factor, product information factor, and service factor. Based on inducing and hindering factors to browsing analyzed in this study, a strategy to design a browsing environment in terms of shopping malls was suggested, which will be helpful for practical strategies and marketing in related industries. Basic data will be presented in a thesis on a new type of shopping mall browsing environment related to the rapidly developing information and communication technology. In addition, the negative emotions experienced in relation to the detrimental factors of shopping malls in the browsing process are expected to be helpful in researching fashion product browsing related to consumer psychology.

• Journal of Intelligence and Information Systems
• /
• v.25 no.1
• /
• pp.179-196
• /
• 2019

Recently, the "Smart Consumer" has been emerging. He or she is increasingly inclined to search for and purchase products by taking into account personal judgment or expert reviews rather than by relying on information delivered through manufacturers' advertising. This is especially true when purchasing cosmetics. Because cosmetics act directly on the skin, consumers respond seriously to dangerous chemical elements they contain or to skin problems they may cause. Above all, cosmetics should fit well with the purchaser's skin type. In addition, changes in global cosmetics consumer trends make it necessary to study this field. The desire to find one's own individualized cosmetics is being revealed to consumers around the world and is known as "Finding the Holy Grail." Many consumers show a deep interest in customized cosmetics with the cultural boom known as "K-Beauty" (an aspect of "Han-Ryu"), the growth of personal grooming, and the emergence of "self-culture" that includes "self-beauty" and "self-interior." These trends have led to the explosive popularity of cosmetics made in Korea in the Chinese and Southeast Asian markets. In order to meet the customized cosmetics needs of consumers, cosmetics manufacturers and related companies are responding by concentrating on delivering premium services through the convergence of ICT(Information, Communication and Technology). Despite the evolution of companies' responses regarding market trends toward customized cosmetics, there is no "Intelligent Data Platform" that deals holistically with consumers' skin condition experience and thus attaches emotions to products and services. To find the Holy Grail of customized cosmetics, it is important to acquire and analyze consumer data on what they want in order to address their experiences and emotions. The emotions consumers are addressing when purchasing cosmetics varies by their age, sex, skin type, and specific skin issues and influences what price is considered reasonable. Therefore, it is necessary to classify emotions regarding cosmetics by individual consumer. Because of its importance, consumer emotion analysis has been used for both services and products. Given the trends identified above, we judge that consumer emotion analysis can be used in our study. Therefore, we collected and indexed data on consumers' emotions regarding their cosmetics experiences focusing on consumers' language. We crawled the cosmetics emotion data from SNS (blog and Twitter) according to sales ranking ($1^{st}$ to $99^{th}$), focusing on the ample/serum category. A total of 357 emotional adjectives were collected, and we combined and abstracted similar or duplicate emotional adjectives. We conducted a "Consumer Sentiment Journey" workshop to build a "Consumer Sentiment Dictionary," and this resulted in a total of 76 emotional adjectives regarding cosmetics consumer experience. Using these 76 emotional adjectives, we performed clustering with the Self-Organizing Map (SOM) method. As a result of the analysis, we derived eight final clusters of cosmetics consumer sentiments. Using the vector values of each node for each cluster, the characteristics of each cluster were derived based on the top ten most frequently appearing consumer sentiments. Different characteristics were found in consumer sentiments in each cluster. We also developed a cosmetics experience pattern map. The study results confirmed that recommendation and classification systems that consider consumer emotions and sentiments are needed because each consumer differs in what he or she pursues and prefers. Furthermore, this study reaffirms that the application of emotion and sentiment analysis can be extended to various fields other than cosmetics, and it implies that consumer insights can be derived using these methods. They can be used not only to build a specialized sentiment dictionary using scientific processes and "Design Thinking Methodology," but we also expect that these methods can help us to understand consumers' psychological reactions and cognitive behaviors. If this study is further developed, we believe that it will be able to provide solutions based on consumer experience, and therefore that it can be developed as an aspect of marketing intelligence.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.25 no.9
• /
• pp.1583-1592
• /
• 2001

연구의 목적은 병행수입제도의 정책운용적인 관점에서 고가품 수입의 큰 비중을 차지 하고있는 럭셔리의류 브랜드를 중심으로 병행수입제도 도입 이후 현 시점에서 공정경쟁의 관점에서 병행수입의 문제점 추출과 대안을 도출함으로써 정책적 시사점을 제시하고자 한다. 연구 방법은 문헌조사와 in-depth 인터뷰를 실시하였다. 연구 결과 제도적 측면에서는 병행수입제도 도입 당시 병행수입과 직접 관련된 지적재산법과 독점규제법 사이에는 전용사용권자의 보호와 규제라는 입법적 목적이 서로 다른 이유로 병행수입 도입 여부에 대한 논란이 있는 것으로 나타났다 , 상표권 침해 기준의 모호, 세관절차에 있어서의 문제점 등이 추출되었다. 럭셔리의류 산업적 측면에서 병행수입제도는 수입물품의 가격인하를 선도하여 소비자 이익 증진에 기 여 하는 반면에 명품의 유통경로가 다양해짐에 따라 위조상품의 처벌실적 이 증가하고, 이월상품과overrun된 제품의 저가수입 등의 문제점이 야기되고 있다. 이에 대한 정책적 해결방안으로는 공정거래법의 개정을 통한 병행수입 허용기준의 보완, 지적재산권법 에 병행수입허용 규정 명시 , 소비자 관점에서의 병행수입 제품에 대한 정확한 정보의 전달 등의 내용 보완이 이루어져 야 한다. 본 연구의 시사점은 정책당국에게 경쟁조건의 Global Standard라는 견지에서 제도적 운용의 개선이 시급히 이루어져야 하는 논거와 토대를 제공하였다. 또한 전용사용권자와 병행수입업체에는 정보의 비대칭성에 의존한 판매전략을 지양하고 소비자 보호와 적 정 한 상표권 보호의 합리적 조화가 궁극적으로 생존의 핵심전략임을 인식시켜 줄 수 있는 계기를 마련해 주었다.가치관은 이들의 의복관심과 의복착용 그리고 구매에 지대한 영향을 미친다는 것을 알 수 있다.포제로 평가되었다. 모든 남자포제가 전통적, 순수한 이미지의 포제로, 철릭을 제외한 모든 포제가 단순한 이미지로 나타나 조선시대 남자 포제가 공통적으로 가지는 이미지는 단순하고 순수한 이미지를 가지고 있음을 알 수 있다. 3. 남자 포제의 시기별 복식이미지에서는 조선전기(철릭, 답호, 직령)의 포제는 관할성 요인이 높은 의례적인, 관할한, 특이한 이미지로 평가되었고 조선중기(도포, 창의)의 포제는 품위있는, 절제된, 풍성한 이미지로 평가되었으며, 조선후기(주의)의 포제는 활동적인, 단순한, 직선적인 이미지로 나타났다. 따라서 시대별 남자 포제의 이미지는 시대적 여건과 상황에 따라 변화되어 왔으며, 시대에 따라 추구하는 이미지가 달랐다는 것을 알 수 있이러한 논란의 해결방안으로 관세법 고시에 의한 우회적 도입을 결정한 정부의 방침에 대해 제도적 측면에서의 문제점으로 저작권 침해 기준의 결여다.lavonoid 함량의 판단지표로 활용될 수 있을 것으로 사료되었다.

• Food Science of Animal Resources
• /
• v.21 no.4
• /
• pp.349-357
• /
• 2001

The effects of dietary conjugated linoleic aicd on pork quality was investigated using sixty four pigs. CLA was synthesized by alkaline isomerization method with corn oil. Pigs were devided into 4 treatment groups(16 pigs/group) arid subjected to one of four treatment diets(0, 0.1, 0.2, and 0.3% CLA diets) for 2 weeks before slaughter. Pork loin and belly were collected from the animals(105∼110kg body weight) slaughtering at the commercial slaughter house. Pork loin and belly meat were aerobic packaged and then stored during 2. 5. 8. 11 and 13 days at 4$\^{C}$ refrigerator. Samples were analysed for meat color, texture and sensory characteristics. There were no diference in meat color(L*, a*, b*), texture and sensory property among control and CLA treatment (s), and no changes as the storage period passed. This results mean that feeding CLA to pork doesn't change the meat color and texture of the pork what consumers consider when they buy some meat. Especially, feeding CLA to pork didn't transform sensory property of the pork. We considered these result as no problem in the pig fed with CLA.

• Economic Analysis
• /
• v.25 no.2
• /
• pp.54-95
• /
• 2019

The purpose of this study is to analyze quantitatively and qualitatively the effects of the increase in online shopping and its effects on real-world commercial outlets. The empirical analysis of this study is based on the results of "Census on Establishments" and "Online Shopping Survey" that cover 15 years, from 2002 to 2016. According to the results of this study, the increase in the number of online transactions affects the decrease in the number of stores in the real-world retail sector. However, non-specialized large stores and chain convenience stores showed an increase in the number of stores. In addition, the number of F&B stores increased the most in line with the increase in online transactions. This is because the increase in online transactions and in internet users led to the use of more delivery applications and the introduction of popular places on blogs or through social media. Street-level rents for medium and large-sized locations increased. In other words, it is seen that the demand for differentiated real-world stores that provide a good user experience increases, even though online transactions also increase. These results suggest that real-world stores should provide good user experiences in their physical locations with a certain size and assortment of goods.

• Journal of Food Hygiene and Safety
• /
• v.31 no.3
• /
• pp.153-166
• /
• 2016

The purpose of this study was to investigate consumers' perceptions on monosodium L-glutamate (MSG) in social media. Data were collected from Naver blogs and Naver web communities (Korean representative portal web-site), and media reports including comment sections on a Yonhap news website (Korean largest news agency). The results from Naver blogs and Naver web communities showed that it was primarily mentioned MSG-use restaurant reviews, 'MSG-no added' products, its safety, and methods of reducing MSG in food. When TV shows on current affairs, newspaper, or TV news reported uses and side effects of MSG, search volume for MSG has increased in both PC and mobile search engines. Search volume has increased especially when TV shows on current affairs reported it. There are more periods with increased search volume for Mobile than PC. Also, it was mainly commented about safety of MSG, criticism of low-quality foods, abuse of MSG, and distrust of government below the news on the Yonhap news site. The label of MSG-no added products in market emphasized "MSG-free" even though it is allocated as an acceptable daily intake (ADI) not-specified by the Joint FAO/WHO Expert Committee on Food Additives (JECFA). When consumers search for MSG (monosodium L-glutamate) or purchase food on market, they might perceive that 'MSG-no added' products are better. Competent authorities, offices of education and local government provide guidelines based on no added MSG principle and these policies might affect consumers' perceptions. TV program or news program could be a powerful and effective consumer communication channel about MSG through Mobile rather than PC. Therefore media including TV should report item on monosodium L-glutamate with responsibility and information based on scientific background for consumers to get reliable information.

• Journal of Intelligence and Information Systems
• /
• v.27 no.2
• /
• pp.55-78
• /
• 2021

Tosolve complex and diverse social problems and ensure the quality of life of individuals, social robots that can interact with humans are attracting attention. In the past, robots were recognized as beings that provide labor force as they put into industrial sites on behalf of humans. However, the concept of today's robot has been extended to social robots that coexist with humans and enable social interaction with the advent of Smart technology, which is considered an important driver in most industries. Specifically, there are service robots that respond to customers, the robots that have the purpose of edutainment, and the emotionalrobots that can interact with humans intimately. However, popularization of robots is not felt despite the current information environment in the modern ICT service environment and the 4th industrial revolution. Considering social interaction with users which is an important function of social robots, not only the technology of the robots but also other factors should be considered. The design elements of the robot are more important than other factors tomake consumers purchase essentially a social robot. In fact, existing studies on social robots are at the level of proposing "robot development methodology" or testing the effects provided by social robots to users in pieces. On the other hand, consumer emotions felt from the robot's appearance has an important influence in the process of forming user's perception, reasoning, evaluation and expectation. Furthermore, it can affect attitude toward robots and good feeling and performance reasoning, etc. Therefore, this study aims to verify the effect of appearance of social robot and consumer emotions on consumer's attitude toward social robot. At this time, a social robot design evaluation model is constructed by combining heterogeneous data from different sources. Specifically, the three quantitative indicator data for the appearance of social robots from the ABOT Database is included in the model. The consumer emotions of social robot design has been collected through (1) the existing design evaluation literature and (2) online buzzsuch as product reviews and blogs, (3) qualitative interviews for social robot design. Later, we collected the score of consumer emotions and attitudes toward various social robots through a large-scale consumer survey. First, we have derived the six major dimensions of consumer emotions for 23 pieces of detailed emotions through dimension reduction methodology. Then, statistical analysis was performed to verify the effect of derived consumer emotionson attitude toward social robots. Finally, the moderated regression analysis was performed to verify the effect of quantitatively collected indicators of social robot appearance on the relationship between consumer emotions and attitudes toward social robots. Interestingly, several significant moderation effects were identified, these effects are visualized with two-way interaction effect to interpret them from multidisciplinary perspectives. This study has theoretical contributions from the perspective of empirically verifying all stages from technical properties to consumer's emotion and attitudes toward social robots by linking the data from heterogeneous sources. It has practical significance that the result helps to develop the design guidelines based on consumer emotions in the design stage of social robot development.