• The Journal of Information Systems
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• v.28 no.3
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• pp.59-81
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• 2019

Purpose The purpose of this study is to investigate the resistance factors interfering the acceptance factors of the mobile easy remittance service focusing on the switching cost and the innovation resistance model. Design/methodology/approach This study focuses on revealing the resistance factors of the mobile easy remittance service acceptance. The resistance factor is designed consisting both consumer characteristics and service characteristics in the Innovation Resistance Model. Furthermore, the effect of resistance factors on the innovation resistance and acceptance intentions were detected by moderating the switching cost. Findings According to the empirical analysis result, this study investigated the effect of resistance factors on innovation resistance and acceptance intention for the mobile easy remittance service. The results of this study as follows; (1) The consumer's inherent innovativeness did not significantly affect the innovation resistance and acceptance intention. (2) The attitude toward existing services and complexity significantly affected innovation resistance in direct manner, thus affecting the acceptance intention in indirect manner. (3) The perceived usefulness significantly affected both the innovation resistance and the acceptance intention in direct manner. (4) The perceived risk only effected the acceptance intention. (5) The switching cost had a moderating effect on the innovation resistance and acceptance intention.

• Journal of the Korea Safety Management & Science
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• v.16 no.1
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• pp.191-199
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• 2014

This paper reviewed the relationship among CEO's entrepreneurship/risktaking, innovation resistance and innovation performance, and the mediating effect of innovation resistance between CEO's entrepreneurship/risktaking and innovation performance. Based on the responses from 219 companies, the results of multiple regression analysis appeared as follow; 1) CEO's entrepreneurship and risktaking effect negatively on innovation resistance. 2) innovation resistance negatively on innovation performance(process innovation, organization innovation). 3) innovation resistance mediates partly between CEO's entrepreneurship/risktaking and innovation performance.

• Journal of Digital Convergence
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• v.3 no.1
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• pp.9-25
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• 2005

The purpose of this study is to explore conquest plans of the barrier and resistance in innovation management. In addition, this study is to describe the model of innovation resistance that reflects adoption process stages and identify the factors that drive the resistance of consumers and the barriers. Whenever organizations try to plan and implement some kind of innovation in organizations, they confront the resistance and barriers in many ways. By understanding innovation resistance and barrier, organizations can not only design better innovations but can develop strategies to reduce resistance and conquer the barriers. Thus they accelerate innovation. Also, these results indicate that people resist innovation strongly when it betrays their value, needs and beliefs or when they felt the pressure on self-conviction and mental risk, loss, and lack of knowledge. Understanding the factors that drive the innovation resistance and barrier has important implications for both theoretical development and managerial action.

• Journal of Korea Trade
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• v.27 no.3
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• pp.87-102
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• 2023

Purpose - Although the importance and necessity of "sustainable supply chain management (SCM)" is emphasized, it is often not realized due to conflicting results, the long time required, and large-scale changes brought about by sustainability. This study used the innovation resistance model to confirm the influence of sustainable SCM innovation resistance factors and dynamic capabilities on adoption intentions. This approach made it possible to understand the factors that hinder adoption of sustainability practices and to identify the relationships among influencing factors. It should also help to establish effective policies or strategies. Design/methodology - Through a literature review, the characteristics of sustainable SCM were classified into relative advantage, compatibility, perceived risk, and complexity. The effects of these innovation characteristics on innovation resistance in sustainable SCM and the effects of innovation resistance on adoption intentions were confirmed. In addition, the effects of SCM capabilities on innovation resistance and adoption intentions were analyzed, and the mediating effect of innovation resistance was analyzed. Findings - Compatibility, perceived risk, and flexibility had significant effects on innovation resistance. In turn, innovation resistance had a significant effect on adoption intention, and flexibility had a significant effect on intention to adopt. A partial mediating effect of resistance to innovation was confirmed. Originality/value - Although many previous studies have acknowledged trade-offs with sustainability, most sustainable SCM studies dealt with the correlations among positive drivers of adoption, practices, and performance. This study confirmed the process of accepting sustainable SCM innovation in a single model and is expected to serve as a cornerstone for future sustainable SCM adoption studies. In addition, our findings should help establish effective policies or strategies to activate SSCM adoption by identifying the factors that hinder the adoption of sustainable SCM.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.13-28
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• 2005

The purpose of this study is to explore conquest plans of the barrier and resistance in innovation management. This paper focuses to understand the model of innovation that reflects adoption process stages and identify the factors that drive the resistance of consumers. Whenever organizations try to plan and implement some kind of innovation in organizations, they confront resistance in many ways. By understanding innovation resistance, organizations can not only design better innovations but can develop strategies to reduce resistance. Thus they accelerate innovation. Understanding the factors that drive the innovation resistance has important implications for both theoretical development and managerial action. These results indicate that people resist innovation strongly when it betrays their value, needs and beliefs or when they felt the pressure on self-conviction and mental risk, loss, and lack of knowledge.

• Korean Management Science Review
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• v.24 no.2
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• pp.19-31
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• 2007

Since the concept of "innovation resistance" was introduced as a summary construct for customers not adopting a superior innovation, a lot of researchers have examined to identify the relationship between the innovation resistance and the various innovation and situation variables. This paper addresses the innovation resistance coming from the introduction of a new R&D grant management system(RGMS) in a university. The new RGMS is based on research grant management policies newly accredited by the government, where the central management of the research grants is indispensable. We have surveyed professors and researchers about the introduction of a new RGMS, and empirically analyzed the perceived innovation characteristics and the user characteristics affecting the innovation resistance. The result shows that perceived risk is the most important factor influencing on the innovation resistance.

• 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.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.25
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• pp.211-241
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• 2005

Innovation resistance toward technology products such as e-Marketplace is an important concept in business to business marketing. But most of researches and literatures have not been focused on innovation resistance. Therefore, the objective of this paper is to confirm key factors that effects on the innovation resistance. Additionally this study will be revealed the factors affecting the innovation resistance to information technology of trade according to adopting stage. Based on the past literatures, the innovation resistance of users can be viewed as dependent on two sets of factors came from the study of Innovation Resistance Model(Ram, 1987):perceived innovation(e-Marketplace) characteristics and user(trading company) characteristics. Perceived innovation characteristics consists of relative advantage, compatibility, perceived risk, complexity, inhibitory effect on the adoption of profitable innovation. The user characteristics consist of innovativeness, beliefs and attitude toward existing trade method. And user adoption stage came from the study of Innovation Diffusion(Roger, 1995). To make it simple, this study divides group1(knowledge/persuasion/decision) and group2(implementation/confirmation). In the result of the empirical study, the hypothesis 1, hypothesis 2, hypothesis 4 were supported partially and hypothesis 3 was completely supported.

• Knowledge Management Research
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• v.16 no.4
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• pp.191-213
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• 2015

With the advancement of virtual reality technology, virtual reality contents and devices are being competitively released. This research deals with an early stage adoption model of a motion-sensing input device which enhances the user experience of these virtual reality contents and devices. In contrast to the previous research on the adoption or resistance of innovative products, this work compares and analyzes the antecedents in MIR(Model of Innovation Resistance) of resistance-perspective as well as those in UTAUT2(Extended Unified Theory of Acceptance and Use of Technology) and IDT(Innovation Diffusion Theory) of adoption-perspective, and suggests a resistance-incorporated adoption model from a new viewpoint. The analysis of questionnaire data indicates the following results: Performance expectancy, effort expectancy, price value, hedonic motivation in UTAUT2 and visibility in IDT have a significant negative influence on innovation resistance. Compatibility in IDT and MIR exerts a positive influence on perceived value. Social influence and hedonic motivation in UTAUT2 positively relates to perceived value. Higher innovation resistance results in lower perceived value, with innovation resistance and perceived value negatively and positively affecting intention to use, respectively.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.101-112
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• 2017

The purpose of this study was to examine the factors affecting innovation resistance and intention of use of social TV non-users focused on innovation diffusion theory and innovation resistance model. The results were as follows: First, compatibility among perceived innovation characteristics by social TV non-users influenced negatively on innovation resistance, and complexity among perceived innovation characteristics by social TV non-users influenced positively on innovation resistance. Second, perceived risk by social TV non-users influenced positively on innovation resistance. Third, compatibility among perceived innovation characteristics by social TV non-users influenced positively on social TV intention to use. And complexity among perceived innovation characteristics by social TV non-users influenced negatively on social TV intention to use. Fourth, perceived risk by social TV non-users influenced not significantly on social TV intention to use. Fifth, innovation resistance by social TV non-users influenced negatively on social TV intention to use.