• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.33-39
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• 2023

Social networking is gaining speed and has grown indispensable as technology develops. As a result, social media, particularly Facebook, Instagram, and influencer marketing, are replacing conventional marketing trends. The top 15 search terms for Mongolian women between the ages of 18 and 34 in 2019 on Facebook were cosmetics and shopping. Companies use social media, the main tool of social media, to promote their products while simultaneously increasing productivity at a minimal cost. In Mongolia, finding out about cosmetic brand products on social media is rather usual. The impact of social media influencers on the purchasing of cosmetic brands must thus be researched. We aimed to find out the relationship between attractiveness, authenticity, communication ability, and influence, which are characteristics of beauty influencers, on product purchase intention and identification between consumers and followers (information acceptance, purchase intention). Communication ability and influence appeared to have a statistically significant positive (+) effect on identification. On the other hand, attractiveness, communication ability, and influence all showed a statistically significant positive (+) effect on information acceptance. Identification and information acceptance has s significant positive effect on purchase intention.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.6
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• pp.836-850
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• 2012

This study was conducted to identify the sensory characteristics of the Korean traditional confectionery, dasik, prepared under different conditions and to compare their consumer acceptance in Korea. To accomplish this, descriptive analysis of eight samples prepared using two types of rice cake powder, dasik (Rflour, Rflour_Omija), brown rice powder red ginseng dasik (Brice_Ginseng_P), pinepollen dasik (PineP), black sesame dasik (BSesame), bean dasik (Rbean), and two types of mungbean starch dasik (Starch_Omija, Starch_Greentea), was conducted by ten trained panelists. In addition, 81 consumers evaluated the overall acceptance (OL), acceptance of appearance (APPL), odor (ODL), flavor (FLL), and texture (TXTL) of the samples using a 9-point hedonic scale, as well as the perceived intensities of sesame flavor, sweetness, and hardness using a 9-point just-about-right (JAR) scale. Partial least square- regression (PLSR) indicated that the BSesame and Rbean samples, which had significantly (p<0.05) high roasted sesame, burnt, greasy, glossy, and cooked chestnut flavor scores, had the highest acceptability and consumer desire scores. Additionally, the PineP and Rflour_Omija samples, which had relatively high particle size, transparency, roughness, spoiled tofu, fermentation and raw rice flavor scores, were the least preferred samples. Therefore, roasted sesame, burnt, greasy, glossy, and cooked chestnut flavor attributes were considered drivers of "liking" whereas particle size, transparent, roughness, spoiled tofu, fermentation, and raw rice flavor attributes acted as drivers of "disliking" among consumers.

• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.11-23
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• 2023

With the proliferation of the "Untact" culture (non-face-to-face society), advanced technologies have accelerated the cashierless systems in the retail context. Cashierless fashion stores are expected to grow rapidly in the same way automated convenience stores grew in popularity. Applying the extended technology acceptance theory, this study aims to investigate how the attributes of cashierless fashion store influence consumers' acceptance of it and to examine how consumer's technology readiness moderates the model. Two online surveys-preliminary and secondary-were conducted to collect data from consumers in their 20s and 30s who had experienced cashierless stores over the past year. To analyze a total of 423 responses, this study conducted a confirmatory factor analysis, a multi-group factor analysis, a multi-group structure equation modeling, and a descriptive analysis. The results demonstrate that convenience, trustworthiness, and price had a positive impact on perceived ease of use, while service quality had a negative one. Enjoyment, convenience, trustworthiness, and price positively influenced perceived usefulness. Both perceived ease of use and usefulness increased the intention to use. Furthermore, the multi-group comparison confirmed that the positive dimensions of consumer's technology readiness played a moderating role in the model. This study provides a research foundation for consumer acceptance of technologically advanced stores and offers practical implications to companies planning cashierless fashion stores.

• Asia pacific journal of information systems
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• v.13 no.1
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• pp.141-170
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• 2003

This study investigates internet shopping behavior of consumers. The rapid growth of the internet shopping markets is solely dependent on the voluntary adoption of internet shopping medium by the personal users. But the studies on this topic are very limited. Based on these facts, this study, recognizing the internet shopping medium as an innovation, studies how consumers understand and use innovative internet shopping medium by applying and extending the technology acceptance model proposed by Davis et. al.(1989). The results of the survey on 947 consumer panel reveal that compatibility, system quality have positive impact on the formation of perceived ease of use. And it is also shown that the perceived ease of use, system quality, and compatibility have positive influence on perceived usefulness, but computer-efficacy has no effect on perceived usefulness. Meanwhile, it is confirmed that perceived usefulness and compatibility have positive effect on attitude toward internet shopping behavior, but perceived ease of use has no effect. In addition, perceived security and social norm, as opposed to the hypotheses, are shown to have no effect on internet shopping behavior. Lastly, applications and related limitations are discussed.

• Journal of Distribution Science
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• v.8 no.1
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• pp.5-11
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• 2010

This study addresses a shift, generally positive, in the acceptance and adoption of mobile commerce. The study, based on data collected using a survey questionnaire from mobile phone users in South Korea, examined the relationships using factor analysis and multiple regression analysis methods. The results showed equal positive adoption rates across all demographics of age, education, and income, except for gender, in terms of attitudes toward mobile shopping. The rate of mobile commerce adoption was relatively stronger among females than males. This finding provides new developments to mobile service providers on the effect of demographic profile on consumers'behavior and attitudes toward mobile shopping. Based on the results of the study, practical implications for marketing strategies in mobile commerce markets are suggested.

• Journal of the Korean Home Economics Association
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• v.47 no.4
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• pp.99-110
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• 2009

The Technology Acceptance Model(TAM) proposed by Davis(1989) has been applied as a reliable and robust model in the study of user’s adoption of different technologies. However it is necessary to incorporate additional constructs to the original model in the quest for increased predictive power. This study investigate consumer’s acceptance of smart clothing applied by the extended TAM. Besides perceived ease of use and perceived usefulness, clothing involvement is included in the extended TAM. Data were collected from the adults over 20 years old living in Seoul and other metropolitan areas from March 2 to March 12, 2009. 815 copies of data were analyzed to examine a structural model and test research hypotheses using AMOS package. The study showed the extended TAM for smart clothing was validated empirically in predicting the individual’s acceptance of smart clothing and 5 hypotheses among 7 hypotheses were supported. Specifically, perceived ease of use, perceived usefulness, and clothing involvement were the factors affecting attitude toward smart clothing. Attitude toward smart clothing was influenced directly by perceived usefulness and clothing involvement but influenced indirectly by perceived ease of use. Acceptance intention toward smart clothing was influenced strongly by attitude. From a theoretical point of view, the study extended the TAM for smart clothing. Moreover, this study would be beneficial for those who would develop smart clothing by providing information about attitude and acceptance intention of smart clothing consumers.

• The Korean Journal of Food And Nutrition
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• v.23 no.1
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• pp.76-83
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• 2010

This study was conducted to analyze sensory characteristics and consumer acceptance with cookies made using various levels(0, 2, 4, 6 and 8% w/w) of Chrysanthemum indicum L. powder. Ten panels assessed sensory characteristics using a 15-point hedonic scale and forty-five consumers evaluated their acceptance based on a 7-point hedonic scale and best-worst scaling. The descriptive analyses reveled that cookie flavor did not differ significantly between the 2% added sample and the control. Cookie color and after taste increased significantly, while hardness, roasted taste, and sweetness taste decreased significantly according to increasing Chrysanthemum indicum L. powder concentration. In addition, the results of consumer acceptance showed that the overall acceptability, appearance, color, flavor, and taste decreased significantly in response to increasing Chrysanthemum indicum L. powder concentration. However, color, flavor, taste and overall acceptance with cookies did not differ significantly differ between the 2% and 4% sample. Additionally, among the cookies made with Chrysanthemum indicum L. powder, the 2% sample received the highest scores. In conclusion, the sensory optimal ratio of Chrysanthemum indicum L. powder was 2% based on the descriptive analysis of sensory characteristics and the consumer-acceptance testing.

• Fashion & Textile Research Journal
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• v.14 no.1
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• pp.24-36
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• 2012

This study examines consumer's acceptance intention of sensor-based smart clothing empolying the extended TAM. Technology innovativeness, information innovativeness and trust were used as external variables and perceived palyfulness was included in the extetended TAM. Data were collected from the adults over 20 years old living in Daegu from March 14 to 18, 2011. 193 useful copies of data were analyzed to investigate a structural model and test research hypotheses using AMOS 7.0. The study results showed that the extended TAM for smart clothing was validated empirically in predicting the individual's acceptance of sensor-based smart clothing and 10 hypotheses among 12 hypotheses were supported. Technology innovation, information innovation, and trust were confirmed as antecedent variables in affecting extended TAM. Perceived usefulness and perceived playfulness directly influenced acceptance intention and indirectly influenced acceptance intention mediating attitude. Perceived usefulness affected perceived playfulness and attitude affected acceptance intention. This study will help marketers and managers of fashion companies devise effective tools in planning marketing strategies related to smart clothing.

• Journal of Korea Multimedia Society
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• v.23 no.10
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• pp.1318-1330
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• 2020

The purpose of this study is to identify the effect of the innovation characteristics that AI Elderly Care Robots have on elderly consumers and to verify the acceptance or mediated resistance by the elderly of the innovation characteristics. Research was conducted throughout this study of the characteristics of the elderly so that the study results could contribute to the improvement of the quality and manufacture of AI Elderly Care Robots by lowering the psychological resistance of the elderly. Survey questions were answered by senior citizens aged 65 and older. The SPSS25 and AMOS22 programs were used for analysis. The analysis confirmed that innovation resistance has a significant mediated effect on the characteristics of elderly consumers and their willingness to accept the innovation characteristics of the AI Elderly Care Robots. Through this study, Ram's innovation resistance model has been verified empirically and it is estimated that by considering the specificities of elderly consumers and using the information to contribute to the development and modification of AI Elderly Care Robots will increase the willingness of the elderly to accept the innovation characteristics of the AI Elderly Care Robots.

• Journal of the Korean Society of Costume
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• v.62 no.2
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• pp.13-25
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• 2012

The purpose of this research is to study the influence over confidence and Word-Of-Mouth (WOM) effect in the acceptance process of WOM by information characteristics(consensus, vividness, and message neutrality) of individual cosmetic blog, reflecting that it is widely spreading over the public. Online survey for the consumers using such blogs was performed to collect data(N=200), and credibility analysis through Cronbach-${\alpha}$ and Structural Equation Model(SEM) analysis using AMOS 18.0 were performed. The analysis results are as follows; First, vivid information and neutral message increase WOM effect through the improvement of consumers' credibility whereas information consensus doesn't positively influence over credibility. Second, the examination of a moderating effect by type of cosmetics demonstrated that the consumers of basic cosmetics have most confidence in vivid information, and those of color cosmetics do more confidence in neutral message. Therefore, there is a difference in the credibility factor of online WOM depending on the type of cosmetics consumption so that differentiated information provision strategies for cosmetics groups should be established based on it.