• 한국정보시스템학회지:정보시스템연구
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• 제27권2호
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• pp.53-75
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• 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.

• World Technopolis Review
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• 제4권1호
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• pp.11-22
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• 2015

Globalization, increasing technological advancements and dynamic knowledge diffusion are moving our world closer together at a unique scale and pace. At the same time, our rapidly changing society is confronted with major challenges ranging from demographic to economic ones; challenges that necessitate highly innovative solutions, forcing us to reconsider the way that we actually innovate and create shared value. As such the linear, centralized innovation models of the past need to be replaced with new approaches; approaches that are based upon an open and collaborative, global network perspective where all innovation actors strategically network and collaborate, openly distribute their ideas and co-innovate/co-create in a global context utilizing our society's full innovation potential (Innovation 4.0 - Open Innovation 2.0). These emerging innovation paradigms create "an opportunity for a new entrepreneurial renaissance which can drive a Cambrian like explosion of sustainable wealth creation" (Curley 2013). Thus, in order to materialize this entrepreneurial renaissance, it is critical not only to value but also to actively employ this new innovation paradigms so as to derive community-driven shared value that stems from global innovation networks. This paper argues that there is a gap in existing business incubation model that needs to be filled, in that the innovation and entrepreneurship community cannot afford to ignore the emerging innovation paradigms and rely upon closed incubation models but has to adopt an "open incubation" (Ziouvelou 2013). The open incubation model is based on the principles of open innovation, crowdsourcing and co-creation of shared value and enables individual users and innovation stakeholders to strategically network, find collaborators and partners, co-create ideas and prototypes, share their ideas/prototypes and utilize the wisdom of the crowd to assess the value of these project ideas/prototypes, while at the same time find connections/partners, business and technical information, knowledge on start-up related topics, online tools, online content, open data and open educational material and most importantly access to capital and crowd-funding. By introducing a new incubation phase, namely the "interest phase", open incubation bridges the gap between entrepreneurial need and action and addresses the wantpreneurial needs during the innovation conception phase. In this context one such ecosystem that aligns fully with the open incubation model and theoretical approach, is the VOICE ecosystem. VOICE is an international, community-driven innovation and entrepreneurship ecosystem based on open innovation, crowdsourcing and co-creation principles that has no physical location as opposed to traditional business incubators. VOICE aims to tap into the collective intelligence of the crowd and turn their entrepreneurial interest or need into a collaborative project that will result into a prototype and to a successful "crowd-venture".

• 기술혁신연구
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• 제17권1호
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• pp.119-148
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• 2009

최근에 서비스산업의 혁신 구조와 유형을 연구하기 위하여 서비스혁신 모형에 대한 논의가 활발하게 진행되고 있다. 본 연구에서는 디지털컨텐츠산업을 분석하여서 서비스 제공자, 컨텐츠 개발자, 사용자 및 네트워크 제공자 사이의 연계성을 연구할 수 있는 혁신시스템의 모형을 제시하였고, 서비스적인 면과 제조업적인 면을 동시에 포함하고 있는 디지털컨텐츠산업 혁신시스템의 특성을 분석하였다. 본 연구에서는 Gallouj and Weinstein(1997) 및 Gallouj(2002)이 제시한 서비스혁신시스템 모형의 바탕 위에서 디지털컨텐츠산업의 특성인 사용자 참가 및 네트워크 외부효과( network externalities) 등을 추가하여서 디지털콘텐츠 서비스 혁신시스템 모형을 구성하였다. 이 모형의 적절성을 검증하기 위하여 우리나라의 온라인게임산업의 혁신 과정 사례를 분석하였고, 사례분석을 통하여 디지털컨텐츠산업의 혁신 유형의 분석, 서비스혁신(service innovation)과 제조혁신(manufacturing innovation)과의 관계, 정부정책의 유효성 등에 대하여 분석하였다. 본 연구에서 도출한 혁신시스템 모형은 디지털컨텐츠산업의 역동성을 이해하는데 다음과 같은 이점을 가지고 있다. 첫째, 컨텐츠 개발자, 플랫폼 제공자 및 네트워크 제공자 사이에 일어나는 제조혁신과 서비스제공자와 사용자 사이에 일어나는 서비스혁신을 분리하였으므로 양 혁신 간의 상호작용을 모형 내에서 분석할 수 있다. 제조혁신과 서비스혁신의 분리를 통하여 디지털컨텐츠산업에 대한 정부의 규제 또는 촉진 정책의 영향을 구체적으로 분석할 수 있다. 둘째, 모형 내에 네트워크의 외부효과를 내생변수화 함으로써 네트워크의 외부효과가 혁신의 선 순환을 일으키는 방식과 구조를 알 수 있는 장점이 있다. 셋째, 서비스혁신의 유형은 제조혁신의 유형과 상이하며 그 효과에 있어서도 큰 차이가 나는 점을 파악할 수 있다. 특히 비 파생적 혁신의 하나인 재조합적 혁신은 제조업에서는 중요하지 않지만, 서비스산업에서는 핵심역량을 구성 한다. 서비스산업의 복제방지 제도가 미비함에도 불구하고 복제가 어려운 이유 중의 하나는 서비스산업이 가지고 있는 독특한 핵심역량 때문이다. 본 연구 결과는 디지털컨텐츠산업의 지속적인 발전의 기초가 되는 여러 유형의 혁신을 촉진하고 유지할 수 있는 정책적 기초를 제공할 수 있는 점에 의의가 있다.

• 기술혁신학회지
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• 제2권1호
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• pp.1-15
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• 1999

This study aims at integrating the sociological study of technology and the economic study of technological learning. It is argued that the sociological approaches of innovation have some strong points in criticizing technological determinism, but have some weak points in explaining how the knowledge base for innovation is accumulated. On the contrary, the economic approaches of innovation have strong points in explaining technology accumulation, but ignore socio-political process of innovation. This study suggests the model which integrates the socio-political process and technological loaming process.

• Journal of Applied and Pure Mathematics
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• 제4권1_2호
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• pp.27-36
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• 2022

An innovation diffusion model is proposed model consists of three classes, namely, a non-adopter class, adopter class innovation-I, and adopter class innovation-II in a partially competitive and cooperative market. The proposed model is analyzed with the help of the qualitative theory of a system of ordinary differential equations. Basic influence numbers associated with first and second innovation $R_{0_1}$ and $R_{0_2}$ respectively in the absence of each other are quantified. Then the overall basic influence number (R₀) of the system is assessed for analyzing stability in the market in different situations. Sensitivity analysis of basic influence numbers associated with first and second innovation in the absence of each other is carried out. Numerical simulation supports our analytical findings.

• Asian Journal of Innovation and Policy
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• 제10권3호
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• pp.274-293
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• 2021

Utilizing outside knowledge for innovation is an important task for companies in the competitive economy. Due to the rapid advance in the internet communication technology, the number and quality of innovation sourcing methods are increasing. We select co-creation, personalization and in-house R&D as the representative forms of innovation sourcing and suggest a game theory model that enables the comparative analysis between them. The decision and surplus outcome of the innovation mechanisms are compared under various settings of the input parameters of the model. The stakeholders voluntarily participate into all mechanisms when the product price is moderately high and the participation cost is low, while co-creation is the only feasible one when the product quality is niche. When the participation cost is relatively high, personalization outperforms co-creation.

• 한국경영과학회지
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• 제40권1호
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• pp.5-19
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• 2015

Literatures on open innovation have two major limitations. First, either on a firm level or on an industry level did they analyze the open innovation issues. The results of a firm's innovation can be diffused through the whole network and the firm can learn back from the network knowledge. Prior literatures did not consider the feedback loop among firms and network in which the firms are involved. Second, most open innovation research had a static perspective on firm's innovation performance. Since the diffusion, spill-over and learning among network members are involved over time, the open innovation is intrinsically dynamic. From the dynamic perspective, we can appreciate the fundamental attributes of the open innovation network which involves diverse firms, research institutes, and universities. In order to overcome the limitations, we suggest a dynamic model for open innovation network. We build an agent-based model which consists of heterogeneous firms. The firms are connected through a scale-free network which is formed by preferential attachment. Through the diverse scenario of simulation, we collect massive data on the firm level and analyze them both on firm and industry level. From the analysis, we found that, on industry level, the overall performance of open innovation increases as the internal research capability, absorptive capacity, and learning curve coefficient increase. Noticeably, as the deprecation rate of knowledge increases, the variability of knowledge increases. From the firm level analysis, we found that the industry-level variables had a significant effect on the firm's innovation performance lasting through all the time, whereas the firm-level variables had only on the early phase of innovation.

• The Journal of Asian Finance, Economics and Business
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• 제7권5호
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• pp.259-268
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• 2020

This study aims to provide empirical evidence on the causal relationship between bribery and firm innovation. To this end, we use a micro-dataset of small and medium firms in Vietnam surveyed in 2015. Given the binary nature of the dependent variable, a simple probit regression model is employed. However, as bribery variable is potentially endogenous, a simple probit regression may give biased estimates. We deal with the potential endogeneity by making use of the bivariate probit model. A property of the bivariate probit model is that it can produce efficient estimates of a typical probit model with endogenous binary explanatory variable. A Hausman-like likelihood ratio test is implemented following the estimation to test the existence of endogeneity. We find that bribery significantly undermines firm innovation. Also, firms run by household appear less innovative. The probability of innovation diminishes significantly if firm owners or managers have previous experience in firm products. As expected, larger firms seem to be more innovative. Exporters tend to be more innovative compared to non-exporters. Our findings provide support to the hypothesis that bribery is detrimental to firm innovation and, thus, innovation may be a mediating channel, through which, bribery impedes firm long-term performance.

• 산업경영시스템학회지
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• 제33권3호
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• pp.123-129
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• 2010

R&D innovation is based on the premises of gaining competitive advantage. Innovation is achieved not only through the development of technology for producing newer and better products, but also gaining and sharing information about consumer demands, changes in the market, and competitors actions. Investment in R&D can not adequately be fulfilled solely through market functions because of R&D activities imply high-risk, uncertainty, and because R&D has a public-good characteristic. Most past researches have concentrated on managerial methodologies through research of performance, thus the results are related to studies of innovation performance. This research looks into the effect given on R&D innovation by IT factors and provides a model, and further analysis on how IT factors are applied through this model. By developing a model through the process of re-structuring the model with variables based on the convergent and discriminant validity, and in turn confirming and concentrating on major IT factors through analysis, it will be possible to double the R&D Innovation Performance.

• 한국IT서비스학회지
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• 제15권2호
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• pp.219-233
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• 2016

As social problems including aging, depopulation, healthcare, poverty, a lot of government, organizations is trying to solve the problems. Recently, social innovation is emerging as strategy for solving social problems around the world. Social innovation means more effective, sustainable and new solutions that increase total values of society. This study attempts to introduce microworks of the Samasource as a case of the business-community innovation model using IT. Samasource is one of three social ventures under the nonprofit organization Sama Group established in 2008. Its mission is to alleviate worldwide poverty by connecting unemployed people in impoverished countries to digital work. Based on the internet model "microwork", they split huge digital projects into small scales, and deliver them to BOP(Bottom Of Pyramid) groups through the internet. This case describes a business model, revenue model, and impact of Samasource's Microwork. Implications of the case were suggested in the conclusion. To this end, I would like to provide a meaningful implication to researchers and founders of the South Korea.