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

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

• Journal of Digital Convergence
• /
• v.3 no.1
• /
• pp.9-25
• /
• 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
• /
• v.27 no.3
• /
• pp.87-102
• /
• 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.

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

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

• The Journal of Information Systems
• /
• v.27 no.2
• /
• pp.53-75
• /
• 2018

Purpose The purpose of this study is to provide implications by examining the factors affecting the consumers' innovation resistance and intention to use FIDO technology based on the innovation resistance model. In addition, we investigate the difference between FIDO group using biometric authentication technology and those using knowledge / possessive authentication technology. Design/methodology/approach This study investigated the factors influencing innovation resistance and intention to use based on the innovation resistance model. And the structural equation model was applied to analyze the effect of innovation resistance and intention to use. Findings According to empirical results, this study found that perceived relative advantage (+), perceived risk (+), perceived complexity (+), and existing product attitude(+) influenced innovation resistance, and perceived relative advantage (+), self efficacy(+), and innovation resistance(-) influenced intention to use. In addition, this study found that there is a significant difference between the group using the bio-based authentication technology and the group using the knowledge / possessive based authentication technology.

• The Korean Journal of Franchise Management
• /
• v.11 no.4
• /
• pp.7-15
• /
• 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.

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

• Knowledge Management Research
• /
• v.20 no.2
• /
• pp.59-86
• /
• 2019

As the era of the 4th Industrial Revolution evolves, not only private companies but also government agencies and institutions in public sector are adopting cloud computing services converged by new information technologies such as IoT, big data, and artificial intelligence to strengthen competitiveness and create new business values. The purpose of this study is to investigate the relationship between innovation characteristics, innovation resistance, and acceptance of innovative technologies from the perspective of cloud computing services in the public sector. In this study, we collected the survey data from 190 employees of IT division in the public sector, and analyzed the causal relationship between innovation characteristics, technostress, innovation resistance, and intention to adopt the cloud computing service that they perceived. As a result of the analysis, we demonstrated that innovation characteristics, technostress have significant effect on innovation resistance and acceptance intention, and that top executive commitment and innovation resistance also have significant effect on acceptance intention. This study provides meaningful practical implications for the staffs preparing for adoption of cloud computing services and the executives who make the final decision in public sector.