• Title/Summary/Keyword: Model of Innovation Resistance

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Factors Influencing Post-Adoption Resistance to Self-Order Kiosks at Fast-Food Restaurants: A Focus on the New-Silver Generation

  • Hwaran Lee;Eunkyung Kang;Kyung Young Lee;Minwoo Lee;Sung-Byung Yang
    • Journal of Smart Tourism
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    • v.3 no.2
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    • pp.23-36
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    • 2023
  • Due to the phenomenon of aging, a new consumer segment known as the "new-silver generation" is emerging. Unlike the previous silver generation, this generation possesses significant economic power and consuming willingness, attracting attention from consumer goods companies. However, both the new-silver generation and the elderly face challenges in adopting contactless or self-service technologies such as self-order kiosks, resulting in negative reactions. Therefore, this study aims to investigate the attitude and response of the newsilver generation towards kiosks, as well as the factors influencing their resistance to such technology. By applying theoretical perspectives from the innovation resistance model, technostress theory, and the value-based model, this study identifies influencing factors for innovation resistance among the new-silver generation when using contactless technologies implemented in fast-food restaurants. The findings indicate that a lower awareness of new technologies and services corresponds to decreased adoption resistance, while a higher perceived value leads to more positive behaviors and attitudes among the new-silver generation utilizing kiosks at fast-food restaurants.

The Impact of User Perception on Usage Intention : Focusing on the Moderating Role of Attitude of Acceptance and Resistance (기술제품에 대한 사용자 지각이 사용의도에 미치는 영향 : 수용적 태도와 저항의 매개적 역할을 중심으로)

  • Kim, Hyun-Kyung
    • Journal of Information Technology Applications and Management
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    • v.16 no.2
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    • pp.65-77
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    • 2009
  • This study explores the major factors that are likely to affect the acceptance and resistance of innovative products and services. The TAM (Technology Acceptance Model) has been widely used for understanding consumer acceptance of new technology. This model displays perceived usefulness and perceived ease of use as antecedents of intention to adopt and use. However, research has reported a variety of preceding variables for technology acceptance. In addition, considering paradoxes of technology, research regarding both acceptance and resistance in an integrated model can explain consumer perception and behavior in detail. The results of this study states that relative benefits, degree of innovation in technology, perceived usefulness and perceived ease of use have had positive influence on the intention to adopt but negative impact on that of resistance. However, alterations of usage and perceived risk positively affects resistance, but also have negative effects on the intention to adopt. Finally, intention to adopt has comparatively greater influence than that of resistance on intention to use. Theoretical and managerial implications of the results are also discussed.

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Effects of Perception of Job Characteristics on Innovation Behavior and Innovation Resistance

  • YANG, Hoe-Chang
    • The Korean Journal of Franchise Management
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    • v.11 no.4
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    • pp.7-15
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    • 2020
  • Purpose: The purpose of this study is to clarify the role of decoupling between job characteristics, innovation behavior, and innovation resistance in order to seek ways for companies to survive and grow continuously through innovation activities in various uncertain situations. Research design, data and methodology: A total of 263 valid questionnaires were collected and used for analysis for employees working at the company. For the analysis, simple and multiple regression analysis, and 3-step mediated regression analysis were conducted using SPSS 24.0 and AMOS 24.0. Results: First, it was found that skill variety, task identity, autonomy, and feedback increase decoupling, and decoupling increases innovation resistance. In addition, it was confirmed that decoupling had a mediating effect between job characteristics and innovation resistance excluding task significance. Finally, it was found that task significance and feedback increase innovation behavior, and decoupling and task identity increase innovation resistance, but feedback can alleviate innovation resistance. Conclusions: As a result of the analysis, the fact that job characteristics excluding task importance have a positive effect on decoupling means that there are two sides of job characteristics perceived by employees. In other words, it means that the results of analysis on the jobs that the company assigns to its members may not be effective. In addition, decoupling, a phenomenon that seems to be accepting on the outside, but perceives that it is negative on the inside, means that there is a possibility to reject innovation. Therefore, prior to carrying out innovation activities, companies should give clear job specifications and meanings for the job and give them autonomy when assigning jobs to their members. In order to provide appropriate feedback, the company must design, operate, and provide feedback. It was found that there was a need to review the overall effectiveness. In addition, efforts such as strengthening corporate-level fairness, maintaining psychological contracts, and realizing authentic leadership should be preceded to reduce decoupling.

A Study on Innovation Resistance of Digital Trade Based On Cloud Services (클라우드 서비스를 활용한 디지털무역 사용자의 혁신저항에 관한 연구)

  • Lee, In-Seong;Kim, Sok-Tae
    • Asia-Pacific Journal of Business
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    • v.12 no.4
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    • pp.313-329
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    • 2021
  • Purpose - Digital trade, which started in the early 2000s, is showing a sharp increase due to the recent pandemic. However, despite this proliferation, users' acceptance of innovation is very slow. Cloud services are at the center of digital trade activation. This study aims to contribute to the spread of digital trade through empirical analysis of the resistance factors that hinder the use of cloud service-based digital trade using the innovation resistance theory and the status quo bias theory. Design/Methodology/Approach - In order to achieve the research purpose, this study was conducted with 171 entrepreneurs using cloud service-based digital trade. Structural equation model(SEM) was used through empirical analysis. Findings - As a result of the study, it was found that the complexity of technology, perceived risk, compatibility, and trust in service providers had a significant effect on innovation resistance, and policy trust did not affect innovation resistance. Also, security concerns and institutional trust were analyzed to have a significant effect on the trust of service providers. Research Implications - This study is meaningful to help the rapid diffusion of innovative technologies through empirical analysis of factors that lower the intention to accept cloud service-based digital trade.

A Study on the Influence of System Quality Characteristics of Mobile Payment Service on Discontinuance Intention (모바일결제서비스의 시스템품질 특성이 이용자 저항의도에 미치는 영향)

  • Choi, Sangmin;Song, Gwangsuk
    • Journal of Korean Society for Quality Management
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    • v.46 no.3
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    • pp.625-640
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    • 2018
  • Purpose: The scale of a market of mobile payment which was insignificant is explosively being improved by development of various communications technology and achieving rapid diffusion of smart phone. According to this phenomenon, new method of financial dealings through a mobile can be seen as a new paradigm that leads to a change of existing payment work and also recognized as an innovation of information technology. Methods: but a study regarding whether the use of mobile payment service takes an important role as an influencial factor is still insufficient. This study was based on the model of innovation resistance by Ram(1987) and established a hypothesis and a model to confirm how four factors (usability, security, economic feasibility, responsiveness) influence to innovation resistance and the intention of discontinuous use. Results: usability, security were found to be significant predictor variables of innovation resistance to use mobile payment system, but economic feasibility, responsiveness were not found to be significant predictor variables. Conclusion: Providing gave a theoretical foundation for future research in that it presents the variables to consider new forms of mobile payment services, the mobile payment services will need to show a differentiated strategy and traditional marketing strategy.

Effects of Omnichannel on Pleasure, Resistance, and Repurchase Intention

  • JUNG, Eun-A;KIM, Jung-Hee
    • Journal of Distribution Science
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    • v.20 no.3
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    • pp.95-106
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    • 2022
  • Purpose: This study aims to verify the effects of omnichannel characteristics on pleasure, resistance and repurchase intention in the omnichannel situation in order to provide the innovative commercial business. Research design, data and methodology: The study examined relations between research concepts centered on previous studies, set hypotheses, developed a research model, and verified the model through a questionnaire survey. A total of 297 questionnaires were used for the final analysis, excluding the questionnaires showing insincere or outliers. Results: First, Omnichannel showed multi-dimensional characteristics consisting of consistency, innovation, economy, and integration. Second, innovation and economic feasibility had a positive effect on pleasure. Third, only economic feasibility had a negative effect on user resistance. Fourth, consumers' shopping pleasure had a negative effect on user resistance. Fifth, repurchase intention of consumers was positively affected by innovation. Conclusions: This research contributed to extend academic framework of distribution research by examining causal relationship through adoption of economic and innovation factors as new characteristics from the integrated perspective beyond the research frame of the existing omnichannel distribution environment. Companies should provide meaningful experiences by resolving concerns about side effects caused by human-computer interaction and providing smart information that matches the products most suitable for consumer needs.

Predicting intention to adopt mobile card payment service (모바일 카드 결제서비스 수용 의도의 결정 요인)

  • Kim, Hyo-Jung;Lee, Jin-Myong
    • Human Ecology Research
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    • v.58 no.4
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    • pp.497-515
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    • 2020
  • The use of mobile payment services has recently increased in South Korea. Mobile payments allow consumers to purchase items digitally, using a mobile card in an app affiliated with a payment service. This study explores the predictors of intention to adopt mobile payment services. The study employed an A(affective)-B(behavioral)-C(cognitive) model with two antecedent variables: cognitive (perceived usefulness, perceived risk, perceived ease of use, and perceived herding behavior) and affective (satisfaction with the status quo, innovation resistance) responses. An online survey of 405 non-users of mobile payment services aged 20 to 49 years was conducted. The study used SPSS 23.0 for descriptive analysis and Amos 23.0 for confirmatory factor analysis and structural equation modelling. The results are as follows. First, perceived usefulness, perceived risk, and perceived herding behavior significantly influenced innovation resistance. Second, perceived herding behavior significantly influenced subjective norms. Third, innovation resistance and subjective norms significantly influenced the intention to adopt mobile payment services. The findings suggest that the A-B-C model can be useful in understanding consumers' adoption and resistance behaviors and that cognitive and affective responses are important antecedent variables affecting the decision to adopt mobile payment services.

The Effect of the Innovative Characteristics and the Consumer Characteristics of the AI Elderly Care Robot on the Intention to Acceptance (AI 노인 돌봄 로봇의 혁신특성과 노인소비자특성이 수용의도에 미치는 영향)

  • Xiao, Ye.;Kim, Chee-Yong
    • 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.

A Study on the Technological Innovation and Introduction of SCM System of SMEs' Industry Using the Innovation Resistance Model (혁신저항모델을 활용한 중소기업 기술혁신에 따른 SCM시스템 도입 영향 연구)

  • Oh, Yongmin;Boo, Jeman
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.3
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    • pp.165-175
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    • 2021
  • As the advent of the Fourth Industrial Revolution and Information Age, companies are in the state of infinite competition due to the rapidly changing technological environment and fierce competition. In this situation companies are making efforts to gain the competitive advantage by introducing information systems. Supply Chain Management (SCM) is considered a method to gain a competitive edge in rapid change. In fact, companies that already have introduced the SCM system are achieving company renovation with positive effects such as increase of sales stock reduction on-time delivery cost reduction and improved efficiency. This study was started to investigate the resistance that occurs in introducing the SCM system for small and medium-sized manufacturing industries that have not yet introduced the SCM system despite the importance of the SCM system, and to check the effect on the intention of the introduction. As the result of this study, the first is that the company has the higher technological innovation, the more positive the effect on Relative advantage Compatibility Perceived risk, Complexity. Second, The compatibility of the SCM system was rejected in innovation resistance, but it is adopted with the highest impact in the introduction intention. In addition, the mediating effect of innovation resistance was also rejected, confirming that if the SCM system is compatible for the company, it doesn't affect the resistance and is the biggest factor to consider in the introduction of the SCM system. Third, the perceived risk of the SCM system doesn't directly affect the intention to introduce, but has an indirect effect when mediation innovation resistance.

A Study on the Innovation Resistance Caused by Blockchain to the Shipping and Port Industry (해운항만산업의 블록체인 도입에 따른 혁신저항에 관한 연구)

  • Chang, Myung-Hee;Kim, Yun-Mi
    • 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.