• Title/Summary/Keyword: 혁신 저항 모델

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Factors Affecting the Resistance of Innovation Technology based Smartphone Environment (스마트폰 혁신기술이 사용자 저항에 미치는 영향)

  • Nam, Soo-Tai;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.137-138
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    • 2016
  • 본 연구에서는 기술수용모델과 혁신확산이론을 기반으로 스마트폰 혁신기술 저항에 관한 재사용 의도에 미치는 영향을 알아보고자 한다. 외부변수는 기술수용모델의 인지된 유용성과 인지된 사용 용이성 그리고 혁신확산이론의 적합성과 복잡성을 4개 변수를 두고자 한다. 예측변수는 혁신저항 변수를 두고 재사용의도에 미치는 영향으로 하여 개념모델을 완성하였다. 또한 혁신저항 변수가 인지된 위험 요인을 매개하여 재사용의도에 미치는 영향을 알아보고자 하였다. 연구대상은 부산 경남지역 및 전북지역에 거주하는 스마트폰 사용자를 대상으로 설문을 통해 자료를 수집하고자 한다. 인구통계학인 분석은 IBM SPSS Statistics 19로 하고 확인적 요인분석과 변수들 간의 인과관계에 대한 경로분석은 Smart PLS를 사용하여 분석하고자 한다. 분석결과를 바탕으로 이론적 실무적 시사점을 제시하고자 한다.

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A study on Improving the Level of Introduction of Smart Factories Using the Extended Innovation Resistance Model (확장된 혁신저항모델을 활용한 스마트 팩토리 도입 수준 제고에 대한 연구)

  • Park, Chan-Kwon
    • 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.

Intraorganizational diffusion and innovation resistance of high technology products (기술 제품의 조직내 확산과 혁신저항)

  • Dae-Ryun Chang;Seong-Do Cho
    • 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.

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A Study on Factors Affecting Innovation Resistance and Intention of Use of Social TV Non-Users: Focused on Innovation Diffusion Theory and Innovation Resistance Model (소셜TV 비이용자의 혁신저항과 이용의도에 관한 연구: 혁신확산 이론과 혁신저항모델을 중심으로)

  • Lee, Byung-Hye
    • 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.

Determinant Factors of Innovation Resistance of Social Media (소셜미디어 혁신저항 결정요인에 관한 연구)

  • Jeong, Hwa-Seob
    • 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.

The Impacts of Innovation Resistance Management on Technological activities and Innovation Performance (기업의 혁신저항관리활동이 기술혁신활동과 혁신성과에 미치는 영향)

  • Ban, Jae-In;Kim, Sung-Hong
    • 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.

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A Study on the Relationship between Smart Work Adoption Factors, User Innovation Resistance, and Turnover Intention: Focused on the Moderating Effect of Organizational Control (스마트워크 도입 요인과 사용자 혁신저항 및 이직의도 간의 관계에 대한 연구: 조직통제 조절효과를 중심으로)

  • Young Kwak;Minsoo Shin
    • Information Systems Review
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    • v.23 no.4
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    • pp.23-43
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    • 2021
  • Due to the recent transition to a non-face-to-face society, many organizations are quickly adapting to foster a smart work environment. The introduction of smart work does not simply end with incorporating ICT systems or solutions into business models since fundamental factors such as forms of employment and work styles need to be in line with the progression of technological advances. However, previous studies regarding smart work focus on improvements in productivity and efficiency from a technology acceptance perspective. Therefore, there is a lack of discussion on innovation resistance from employees and management control when ICT systems are introduced into the workplace. This study empirically analyzes the moderating effects of the organizational control method for employees and innovation resistance within a smart work environment. Additionally, this study aims to identify the structural characteristics that employees resist from an innovation resistance perspective when organizational innovation occurs. The empirical analysis of this study suggests that when smart work such as ICT technology is introduced into the workplace the level of innovation resistance decreases when there is a high level of relative advantage and self-efficacy, whereas the level of innovation resistance increases when there is a high level of use complexity. Moreover, this study revealed that the level of innovation resistance increases when the employees' behaviors were controlled. The results of this study intend to contribute to improving business management by suggesting factors worth considering when incorporating smart work into work places through a thorough case analysis.

Study on the Adoption of Internet Shopping : Focused on the Role of Innovation Characteristics and Adoption Barriers (인터넷 쇼핑의 수용에 관한 연구 : 혁신의 특성과 수용장벽을 중심으로)

  • 신종칠;송창석
    • Asia Marketing Journal
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    • v.2 no.2
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    • pp.63-85
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    • 2000
  • 본 논문은 인터넷 쇼핑을 혁신수용의 관점에서 고찰하고 있다. 즉, 인터넷 쇼핑의 수용과정과 관련한 전반적 체계를 구축하기 위해 혁신의 특성을 중심으로 한 수용모델과 혁신에 대한 소비자의 저항을 중심으로 한 수용모델을 인터넷 쇼핑의 수용에 적용하여 소비자가 인터넷 쇼핑을 채택하는데 영향을 미치는 요인들을 인터넷 쇼핑의 잠재적 혜택, 소비자특성, 기업활동을 중심으로 고찰하고 가설적 명제들을 제시하고 있다

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A study on the adoption of smart work for ICT companies : Focusing on the innovation resistance model (ICT 기업을 대상으로 한 스마트워크 도입에 관한 연구: 혁신저항모델을 중심으로)

  • Oh Yongmin;Noh Hyeyoung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.649-659
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    • 2023
  • Smart work, which utilizes ICT technology to work without time and space constraints, has been difficult to introduce and spread despite a lot of research and investment based on the 'smart work vitalization strategy' that began in 2010. Although the environment of COVID-19 in 2019 was an opportunity to promote the adoption of smart work. After that, many companies ended or reduced the adoption of smart work again. This study was initiated to examine the factors that resist the introduction of smart work based on the innovation resistance model and to suggest alternatives. As a result of this study, relative advantage showed a strong effect on both introduction resistance and introduction intention. However, it was confirmed that perceived risk and complexity did not directly negatively affect introduction intentions, but had a negative effect on introduction intentions through mediating resistance to introduction. Through the results of this study, it was confirmed that if the practical benefits of smart work were emphasized and negative attitudes were reduced, the resistance to introduction would be lowered and the intention to introduce it would be positively affected.

A Study on the Factors Influencing the Intention to Use the Metaverse: Focusing on Innovation Resistance Model (메타버스 이용의도에 영향을 미치는 요인에 관한 연구: 혁신저항 모델을 중심으로)

  • Minjung, Kim;Mina, Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.1
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    • pp.51-58
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    • 2023
  • The purpose of this study is to identify various variables that affect the intention to use the metaverse, which has recently attracted attention. In particular, while previous studies have focused only on the variables that have a positive effect on the spread of the metaverse, this study tried to examine both the use and resistance perspectives by examining the psychological variables of consumers who reject specific changes, such as innovation resistance. By constructing consumer characteristics and innovation characteristic variables that affect innovation diffusion, the relationship between innovation resistance, attitude toward the metaverse, and intention to use the metaverse was examined. As a result of the study, it was found that innovation propensity, social image, and conformity had a negative effect on resistance to the metaverse. In addition, innovation propensity, social image, suitability, relative advantage, complexity, and observability mediate innovation resistance and attitudes toward the metaverse, and were finally revealed as variables that have positive or negative influences on the intention to use the metaverse.