• Asia Marketing Journal
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• v.1 no.2
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• pp.100-115
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• 1999

본 연구는 기업이 기술제품을 도입한 후에 내부에 확산시키려고 하는 실행단계에서 직면하는 혁신저항에 영향을 미치는 요인과 혁신저항을 줄이고 확산을 증진시키는 확산촉진활동을 설명하여 2B 마케팅 상황에서 기술제품의 조직내 혁신저항-확산모델을 도출하였다. 기업에서 기술제품을 조직내에 확산시킬 때는 구성원들의 혁신저항을 접하게 된다. 소비자 행동에서는 혁신저항에 영향을 주는 변수로 개인변수와 제품변수를 제시하고 있지만 2B 마케팅에서는 조직구조변수와 구매센터변수가 추가적으로 영향을 주게 된다. 중앙집권화, 공식화정도가 높은 기업에서는 구성원들이 혁신저항을 가지면서도 사용할 수 있다. 이러한 경우에는 판매기업과 구매기업의 관계가 단기적인 관계로만 그칠 수 있다. 또한 구매센터 참여정도가 적고 구매센터가 집중화되어 있으면 혁신저항이 커지고 단기적인 관계만 형성될 가능성이 커진다. 그리고 제품의 지각된 위험, 적합성에 따라 혁신저항의 정도가 달라질 것이다. 그리고 사용자 개인의 지각된 자기능력, 현 제품의 만족도 등이 의미있는 조절 변수 역할을 할 것이다. 그러므로 장기적인 관계로 이어지기 위해서는 혁신저항을 줄이는 교육훈련, 제품개선, 부서간 조정, 개인적 동기 부여와 같은 확산촉진활동이 있어야 한다. 따라서 본 연구를 통해 판매기업과 경영자들은 기술제품에 대한 혁신저항을 극복하고 제품을 확산시킬 수 있는 학문적, 관리적 시사점을 얻을 수 있을 것이다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.89-99
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• 2017

Although the technological innovation activities have depended on corporate, organizational and personal capabilities and activities, innovation resistance to practice was not actively considered in previous studies. This study is intended to the effects of corporate technology innovation capabilities and activities on intra-organizational innovation resistance and performance by compensating the limit of previous studies. To achieve this, a survey was empirically carried out to 293 domestic IT and BT companies. First, technological innovation competencies had a positive effect on technological innovation resistance, adopting hypothesis 1. Second, technological innovation activities had no positive effect on technological innovation resistance, rejecting hypothesis 2. Third, technological innovation resistance had a positive effect on technological innovation performance, adopting hypothesis 3. Fourth, technological innovation resistance was positively mediated in the relationship between technological innovation competencies and technological innovation performance, adopting hypothesis 4. Fifth, technological innovation resistance was not positively mediated in the relationship between technological innovation activities and technological innovation performance, rejecting hypothesis 5. Overall, the higher technological innovation competencies had a significant effect on technological innovation resistance. Consequently, technological innovation resistance can improve or reduce technological innovation competencies and performance depending on the level of resistance.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.627-648
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• 2012

The Purpose of current study is to empirically examine the impact of innovation resistance management practices on technological innovation activities and its performance. Drawing upon literature review, innovation resistance management practices are conceptualized and the measurement items of independent and dependent variables are developed. Survey-based data for this study was collected from 300 Korea manufacturers. The results of structural equation modeling analysis are as follows. First, innovation resistance management practices significantly affected on technological innovation activities and its performance. Second, technological innovation activities affected on its performance. Therefore, in order to make high innovation performance, corporate have to properly implement the innovation resistance management practices.

• 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.

• 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.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.158-166
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• 2013

This study gave attention to the people who has resistance of the social media that tens to be the use as innovations. Therefore, this study examined the determinant factors of psychological resistance of the social media such as Twitter focused on students as none-users of social media. Total of 268 none-users participated in this study. The results were as follows. First, relative advantage influenced negatively on innovation resistance. Second, perceived complexity influenced significantly not on innovation resistance. Third, perceived risk influenced positively on innovation resistance. Therefore, social media related to social relationship should improve relative advantage, the other way, decrease perceived risk such as defamation and personal attack.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.107-124
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• 2021

This study is a study on the innovation resistance that may arise in connection with the introduction and use of smart factory-related technologies by SMEs. It is to study the effect of the leading factors of innovation resistance on innovation resistance and the effect of innovation resistance on use intention by using the extended innovation resistance model. A total of 176 survey data were used for the study, and the study was conducted using SPSS 25 and Smart PLS 2.0. Relative advantage, suitability, perceived risk, social impact, and organizational characteristics have a significant effect on innovation resistance, and innovation resistance was tested to have a significant effect on the intention to use. As an implication according to the research, a plan to improve the level of introduction and use of smart factories using the expanded innovative storage model was presented by dividing positive and negative factors, and factors that should be improved and factors that should be reduced are presented. It was specifically presented.

• 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.

• 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 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.