• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.61-73
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• 2014

While past studies on e-books have mainly focused on the uses and gratifications (UG) and technology acceptance model(TAM), this study rather analysed the innovation resistance factors of adopting the e-book based on the innovation resistance model. The research model comprises of two factors: 1) innovation characteristics which include relative advantages, compatability and complexity, 2) user characteristics which encompass attitudes towards innovation and existing products (i.e., paper books). Using online survey questionnaire, this study examined the effects of those innovation and user characteristics on the innovation resistance, and the relationship between innovation resistance and intention of adoption. The results showed that complexity and attitude towards existing products affected the innovation resistance which has negative influence on the intention of adoption. Accordingly, it is necessary to improve the ease of use in the whole process from purchase to reading experiences, and highlight e-books' own interactive features and functions which are perceived as different from paper-book user experience.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.278-285
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• 2008

기술발전에 따른 혁신제품 및 서비스에 대한 연구는 유용성과 편의성을 중심으로 그 수용 및 저항을 서로 다른 관점에서 보아왔다. 그러나 소비자 혹은 사용자들이 느끼는 혁신제품 및 서비스에 대한 태도와 평가는 수용하려는 측면과 저항하려는 측면이 동시에 작용하며 그 결과로서 사용의도 혹은 구매의도가 결정된다고 볼 수 있다. 이에 본 연구는 혁신제품 혹은 서비스가 갖는 다양한 속성을 기술수용모형(TAM: Technology Acceptance Model) 에서의 지각된 유용성(Perceived Usefulness) 과 지각된 편의성 (Perceived Ease of Use) 개념을 사용자 지각에 기초하여 상대적 이점, 유용성, 편의성, 기술혁신성, 사용법의 변화 인식, 위험지각 등으로 구체화하고 각각의 개념이 수용적 태도와 저항에 미치는 영향을 분석하였다. 아울러 수용적 태도와 저항이 사용의도에 미치는 영향력을 동시에 분석 및 비교하였다. 연구에서 얻어진 결과를 중심으로 혁신제품에 대한 소비자 중심의 관리적 시사점도 제시하였다.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.123-134
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• 2016

As the internet of things has come into the spotlight, wearable devices have been emerging as a new and growing market and the next hot thing in the world. However, wearable device growth in the market has not met expectations. For continued growth and diffusion of wearable devices, it is important to investigate user resistance factors to them. This study gives attention to people who have resistance to wearable devices' tendency towards innovative uses. Specifically, this study is intended to find out which factors influence consumers' resistance and intention to use wrist-worn wearable devices, which are in high demand among wearable device. Results of the study show that the relative advantage, innovation expectation, complexity, financial risk and physical risk are the predictors of innovation resistance on wrist-worn wearable devices. And consumers' resistance affects the intention of positive acceptance. These findings confirm the importance of consumer resistance to the wrist-worn wearable device.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.12
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• pp.329-342
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• 2021

The pharmaceutical industry is experiencing a productivity crisis with a low probability of success despite a long period of time and enormous cost. As a strategy to solve the productivity crisis, the use cases of Artificial Intelligence(AI) and Bigdata are increasing worldwide and tangible results are coming out. However, domestic pharmaceutical companies are taking a wait-and-see attitude to adopt AI platform for drug research. This study proposed a research model that combines the Value-based Adoption Model and the Innovation Resistance Model to empirically study the effect of value perception and resistance factors on adopting AI Platform. As a result of empirical verification, usefulness, knowledge richness, complexity, and algorithmic opacity were found to have a significant effect on perceived values. And, usefulness, knowledge richness, algorithmic opacity, trialability, technology support infrastructure were found to have a significant effect on the innovation resistance.

• Journal of Korea Port Economic Association
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• v.35 no.4
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• pp.121-146
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• 2019

This study investigates the innovation resistance when blockchain technology is introduced for the shipping and port industry. For the development of a research model with suitable measures, we review and focus on innovation resistance factors with the blockchain technology derived from previous studies. In this research, we consider four factors (innovation characteristics, consumer characteristics, environmental characteristics, and cost characteristics) with innovation resistance as dependent variables. The innovation characteristics include relative benefits, complexity, and perceived risk. The consumer characteristics consider attitude toward existing products, innovation, and self-efficacy. Social impact variables are environmental characteristics and rationality of cost. In the statistical analysis, we set up eight hypotheses to test the significances between variables and find the following four empirical results. First, the relative advantage and the perceived risk have a significant effect on innovation characteristic, but the complexity of this characteristic has no significant effect on innovation resistance. Second, the rationality of cost has no significant effect on innovation resistance. Third, the attitude toward existing products has a positive effect and the innovation of the consumer characteristic has a negative effect on innovation resistance, while the self-efficacy has no significant effect. Finally, the social impact has a significant effect on innovation resistance to blockchain in the shipping and port industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.55-67
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• 2015

This study examines innovation resistance to smart learning, an emerging innovative technology for startups and corporate ventures in the education market. The study explores whether the relative advantage, compatibility and complexity of an innovation, attitudes toward existing learning method(s), and perceived self-efficacy significantly affect innovation resistance. Additionally, the effects of such innovation resistance on future use and the moderating effect according to demographic characteristics are examined. The results of the analysis using a structural equation model showed that all the factors considered (except relative advantage) affects innovation resistance, innovation resistance significantly affects intention to use.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.101-117
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• 2024

The purpose of this study is to consider the characteristics perceived by users who utilize MyData services in the financial sector. It aims to examine how these factors influence users' understanding for sustained usage and their resistance to innovation. The research seeks to explore the relationship between users' awareness of characteristics and its impact on both enhancing comprehension for continued usage and addressing users' resistance to innovation. Utilizing a specialized survey agency, we examined the relative effects of innovation resistance factors, such as relative advantage, perceived risks, complexity, clarity and perceived ease of use on MyData service users. Furthermore, this research focuses on employing empirical analysis to validate the relationships between these factors through the survey. The findings of this study suggest that MyData service should dedicate ongoing efforts to minimize user resistance to service utilization. Specifically, it was revealed that among the innovation resistance factors, perceived ease of use, relative advantage, perceived risk, and complexity exert influence in that order.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.409-421
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• 2021

The purpose of this study is to verify the effects of innovative technology characteristics of beauty care remote-manufacturing system on resistance and acceptance intentions to innovative technology in the era of the Fourth Industrial Revolution. A survey of 567 female consumers in their 20s and older was conducted. The collected survey data were analyzed for hypotheses verification through structural equation model analysis. First, the perceived usefulness and perceived ease to use of beauty care remote-manufacturing systems have negative effects on resistance to innovative technology. Second, resistance to beauty care remote-manufacturing systems has been shown to negatively affect acceptance intention. Third, perceived risk to beauty care remote-manufacturing systems have been shown to negatively affect acceptance intention. Through this study, it can be found that the significance of this study in that it derived factors that affect consumer' resistance and acceptance of innovative technologies and presented new trends and directions of the cosmetics manufacturing industry.

• 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.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.129-138
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• 2021

Many organizations are applying robotic process automation (RPA) to automate repetitive and rule based tasks to enhance the accuracy and efficiency of works. Some members are willing to join the projects hoping to eliminate annoying and meaningless tasks, but others are resisting this innovation fearing that they may lose their jobs. In this study, both positive and negative antecedents are posited to influence the performance in adopting RPA. The effects of relative advantage, compatibility, change management effect, innovation resistance and satisfaction, conclusively to performance improvement were examined via a survey of 109 employees involved in the 11 RPA projects in a manufacturing company, and the structural equation model analysis. The research considering the consumer characteristics of the innovation resistance model can be followed for the development of individualized change management strategy.