• Journal of Global Scholars of Marketing Science
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• v.15 no.3
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• pp.211-231
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• 2005

It is important for marketers to understand both individual resistance and group resistance in order to successfully bring innovations into global markets. We suggest that consumers resist innovations as individuals and as members of a group and that they do this in different ways at different stages of decision-making. The individual resistance begins with forms of initial resistance, develops into emergent resistance and mature or belated resistance at the individual level. In addition, personal moral standards can influence decision making in relation to the adoption of innovations. Individual resistance is sometimes accompanied by or evolves into group resistance. We introduce a framework for thinking about consumer resistance to innovations that sees it as a consequence of social identity, which has functions for the individual, the group to which one belongs, and other individuals and groups. Consumers with membership in a certain group try to increase their self-esteem through the process of social comparison. The more consumers strongly identify with and bond with a certain group, the more in-group solidarity and out-group hostility will occur. Out-group hostility gives group members strong resistance toward products and services related to the out-group. Individual resistance and group resistance are threats to marketers and dampen performance. By considering the existence of resistance to innovations and seeking strategies to overcome it, marketers can transform these threat into new opportunities. A better understanding of consumer resistance can complement research on the adoption of innovations and help in the development of a universal model of consumer behavior.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.586-587
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• 2008

지난 논문 "Critical Peak Pricing 요금제를 이용한 일반 수용가 대상 수요관리의 방법" 및 그 후속 연구에서는 일반 수용가를 대상으로 한 효율적인 수요관리의 한 방법으로써 Critical Peak Pricing 요금제를 제안하였다[1]. 또한 이 요금제에서 핵심이 되는 최적 critical peak 시점을 푸는 하위 문제들 및 방법론을 제시하였는데, 이 논문에서는 그 하위 문제들 중 수용가의 부하를 예측하는 문제를 다룬다. 우리는 energy service provider(ESP)가 관리해야 할 수용가의 수가 매우 많다는 점에 주목하여, 각 수용가의 1일 부하 사용량 패턴을 몇 개의 그룹으로 나누어 각 그룹에 대해 critical peak 최적 시점을 결정하는 연구를 수행하였다. 이러한 수용가 부하량 패턴 그룹화를 위해 인공 지능의 여러 기법 중 하나인 self-organizing map(SOM)을 사용하였다.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.17-34
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• 2022

Although NFTs are a new technology with a fast-growing industry, the studies for consumer protection and promotion are insufficient. Thus, this study analyzes the relationship of variables that affect intention to use NFT based on the UTUAT model, additionally, moderating effect of NFT types and crypto investment experience. Subjects of this study are limited to potential NFT users. The independent variables such as performance expectations, network externality, and innovation are statistically significant, however, the moderating effect is not suggested. With low awareness, the tendencies of subjects lead to adoption rather than technical understanding.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.209-225
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• 2009

This research has been studied to analyze affecting factors for the consumer's acceptance to mobile advertisement by worldwide survey into mobile users of Korea, U.S. and Japan. Based on TAM & Flow theory, our research adopts some factors for a theoretical model such as entertainment, information, irritation, credibility, flow experience, attitudes and acceptance intention. And our research collects data from common consumers & students of each countries to try comparative study with mobile users who has different scope & environment of markets. This data was analyzed based on using AMOS, the structural equation modeling and a second-generation multi variant technique, and has gained distinct advantages over other technique.

• Journal of the Korean Home Economics Association
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• v.41 no.10 s.188
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• pp.185-198
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• 2003

Fashion is a field that responds sensitively to social and cultural atmospheres, brings about constant change due to consumer demand for new items in new fashion trends and in the latest design. The fashion industry tries to predict what kind of clothing the customers desires and produces fashion products according to trend information stated by fashion information services. This research analyses the relativity between the trends stated in the fashion information books and what consumer accept, and with this information find the application of trend information books in the planning of domestic woman's clothing. The used information books were based on Samsung Fashion Institute and Interfashion Planning, Inc. The 02/03 F/W season emphasized restoration-romantic, nostalgic mood themes. Fashion trend information and consumer acceptance condition tend to concentrate on trend themes given tv fashion information companies. In other words, $Sincere\;girl(39.04\%){\to}Frontier\;girl(34.92\%){\to}Dark\;lady(18.43\%){\to}Lady\;belle(7.59\%)$ in this order Also when looking into the consumer's wearing, no one theme appears by itself and the themes are mixed accordingly to one's lifestyle and sensibility. Accordingly fashion information organizations must provide precise fashion trends according to consumer sensibility & consumption and also compare trend information to consumer fashion trends each season. With this precise information the planned design plans will help the domestic fashion markets, which are gradually overrun by foreign brands, develop a unique and original fashion product that meets consumer sensitivity needs, and develop a new stepping stone for fashion companies and the relative fashion industry and furthermore contribute to the advancement of overseas markets.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.456-463
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• 2016

This study investigates the relationship between the digital music service acceptance factors on the Perceived value, and Customer Satisfaction. Remarkable points of this study are as follows. First, according to the result of the analysis of relationship between digital music service acceptance factors and perceived value, diversity of digital music products and quality of digital music system affects significantly on the perceived value. but, usability of digital music service use does not have an effect on the perceived value. Second, as the result of analysis of the relationship between digital music service acceptance factors and customer satisfaction, diversity of digital music products, usability of digital music service and quality of digital music system affects significantly on the perceived value. These finding should assist digital music marketers and academics in their understanding of building loyalty on digital music service.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.57-72
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• 2016

Sharing economy services are expanding, as the efficiency of the resources is enhanced by sharing the resources of the individual consumers and also the direction of consumption is changed to fulfill needs of individual. Therefore, this paper develops the empirical analysis model by considering the features of sharing economy services, and conducts study by utilizing the extended TAM by adding price sensitivity, reliability and perceived enjoyment to TAM in order to analyze the factors that affect the use intention of sharing economy services and to reflect the distinctiveness of sharing economy services. The results of the analysis showed that price sensitivity, self-efficacy, technology innovation, reliability, perceived usefulness, perceived ease of use, perceived enjoyment and use intention are affected in different ways. This study is able to provide clear understanding for use intention of sharing economy services, also implications for expanded use intention to the consumers.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.153-163
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• 2013

The application demand has been rapidly increasing along the growth of smart devices. Companies actively use the application as marketing tools. In particular, fashion businesses expect the improvement of customer loyalty and brand image by using the applications as the communication channel with consumers. This paper investigated the relationship between mobile shopping motives and mobile shopping acceptance. Influence of such variables on perceived importance of various fashion application attributes was also accessed. Data from male and female respondents were analyzed for the empirical study. Results indicated that mobile shopping motives were classified into convenience, ubiquity, impulsiveness and economic motives. Fashion application attribute was classified into contents, continuous management, design/visibility, downloading and community. Mobile shopping motives had significant correlation with fashion application acceptance. Shopping motives and fashion application acceptance had significant impacts on perceived importance of various fashion application attributes.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.101-114
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• 2021

This study aimed to analyze the degree of consumers' expectations for their performance and efforts in using overseas direct purchase, impact of overseas direct purchase on the society, and effect of price value to their intention to use overseas direct purchase in the future. In addition, the significance of overseas direct purchase on the user-perceived availability is empirically analyzed. As a result of the study, it was confirmed that performance expectancy, effort expectancy, social influence, and price value showed significantly positive effect on the intention to use overseas direct purchase in the future. With respect to the perceived availability in using overseas direct purchase, it was found out that effort expectancy and price value had significantly positive effect; however, it appeared that performance expectancy and social influence had no significant effect on the perceived availability of the users.

• Journal of the Korean Applied Science and Technology
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• v.38 no.3
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• pp.860-869
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• 2021

This study tried to provide basic data for predicting consumers by applying the structural analysis method (SEM) to the causal relationship model that applied the technology acceptance theory for mobile home training, exercise commitment, and continuous intention. Therefore, in order to identify the strategic tools due to the current COVID-19 pandemic, the survey was conducted using the mobile program "Survey Monkey" according to the sampling plan from February 1, 2021 to May 21, 2021, and a total of 287 valid samples. people were used in the final analysis of consumers. As a result of the study, it was found that the acceptance model had a significant effect(+) on exercise commitment, and the acceptance model had a significant effect(+) on the exercise continuation intention. Finally, it was found that exercise commitment had a significant(+) effect on exercise continuity intention.