• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.145-154
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• 2017

Technology innovation is regarded as the quintessential process to acquire a competitive advantage. This is especially true in high-tech industries, and firms that recognize the importance of technological innovation concentrate their capacities on developing new technologies, new products, and new processes. In general, such research requires many resources, but not all technological breakthroughs are followed by positive feedbacks. Consequently, the firms in high-tech industries are compelled to find new directions in acquiring technologies. This study examines the factors that influence technological innovation and empirically tests the effect these factors have on its diffusion. Radicality, discontinuity, and exploitation/exploration were selected as the factors from the previous literature on technological innovation and organizational learning. For the empirical test, patent data from the US semiconductor industry were used to describe innovation activities from various fields. From the result, these three factors (Ed- is this what you mean, i.e., radicality, discontinuity, and exploitation/exploration?)were found to have significant meaning as proxies for the diffusion of technological innovation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.10
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• pp.1183-1189
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• 1999

This paper presents the method of parameter estimation of diffusion model for monitoring Demand-Side Management program. Bass diffusion model was applied in this paper, which has different values according to the following parameters; coefficients of innovation, imitation and potential adopters. Though it is very important to estimate three parameters precisely, there has been no empirical way in practice. Thus, this paper presents the method of parameter estimation in case of few data with constraints to reduce the possibility of bad estimation. The constraints can be empirical results or expert's decision. Case studies show the diffusion curves and forecasted values of the peak for the high-efficient lighting. The feedback and nonlinear least-square parameter estimation methods used in this paper enable us to evaluate the status and to predict the effect of DSM program.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.10 no.16
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• pp.149-158
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• 1987

The Adoption/Diffusion of Innovations(New Product), a topic of study and research that has frown rapidly in the past few decades, deals with how a new product is adopted in a society. It is of high importance to marketing organizations because New Products must be brought out continuously in order to service. The purpose of this paper is to examine the Adoption/Diffusion Models for New product which will help to analyze the Adoption/Diffusion process of Adopters. There are a number of models that, with varying degrees of success, have been used to predict market acceptance of new product. In this paper, following types of new product Adoption/Diffusion Models was suggested. (1) Adoption Models : The Alternative Models of Adoption. The Rogers Model of the Innovation Decision Process. (2) Diffusion Models : First Purchase Models(Basic Models, Extension of the Basic Models), Repeat Purchase Models

• 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.

• STI Policy Review
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• v.4 no.1
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• pp.1-13
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• 2013

The Schumpeterian process of "creative destruction", associated with the emergence and diffusion of new radical, so-called "general purpose" technologies, has throughout history impacted wealth and income, jobs creation, jobs displacement, and the emergence and submergence of new hotspots of innovation. Emerging countries have benefited most from such a renewing of those societies' dynamics, leading them to higher levels of economic development and welfare. Doing so they have shown a remarkable capacity in moving upstream in the value chain, from outsourcing of manufacturing activities to autonomous process technology development, product development, design, and applied research. At the same time however, such Schumpeterian processes have now and then turned into exactly opposite processes of "destructive creation." Such processes seem to have become common among what could be called "submerging" economies: innovation only benefitting a few at the expense of many with as a result an opposite pattern of a long term reduction in overall welfare, productivity, and employment growth.

• The Journal of Society for e-Business Studies
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• v.20 no.3
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• pp.11-28
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• 2015

Due to the mobil-centered lifestyle following the wider use of Smartphones, Mobile services, including mobile banking and mobile shopping business have increased rapidly. Also with the emergence of "Fintech", which finance combined with technology, IT based financial market is going to be highly promising. In this trend, interests mobile credit cards are increasing. But diffusion of the mobile credit card services is still in the low level. In this situation, to identify factors that influencing satisfaction and continuous usage intention on mobile credit card, this study applied innovation diffusion theory (IDT) and post acceptance model (PAM). To conducting this research, survey data were collected, and we used SmartPLS to analyze survey data. As a result of the study, perceived easy of use, image, compatibility and facilitation positively affect user's satisfaction in mobile credit cards and that such satisfaction have a positive impact on continuous intention to use. The facilitation influences user satisfaction more strongly for those who use mobile credit cards more than plastic credit cards. Also, perceived of use and image influence user satisfaction more strongly for those who use plastic credit cards more than mobile credit cards. It is expected that this study can be a guideline for credit card service providers and policy makers to invigorate mobile credit card business. Also it worths as a early-stage research on Fintech-related studies.

• Journal of Technology Innovation
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• v.23 no.4
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• pp.33-61
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• 2015

The global economy is rapidly changing by technological innovation and diffusion of knowledge across nations. Therefore it is still important issue to find a major variables for convergence and divergence of economic development. The studies up to present on the relationship between innovation and institution has limitations that they have dealt with this issue only in term of cross-sectional study or mathematical research models. This paper aims at analyzing the impact of innovation capabilities and institutional quality on the economic growth. Empirically this paper will explore the relationship among human capital capacity and FDI, R&D expenditures and innovation capabilities and institutional quality. This paper analyzes 64 countries, which were divided into 4 groups depending on the level of economic development. Based on the data from 1995 to 2011 and by using a panel model, we look at the structural implications of the research questions. According to our analysis, the weight of R&D and the innovation capabilities were identified as important determinants of economic growth, and FDI was significant factor for economic growth in the upper middle group countries. In case of the innovation capabilities of countries, the diffusion and openness of innovation were most meaningful variables for economic growth. Also, institutional quality has a significantly positive impact. However, in the low-level economic group, innovation capabilities and institutions have a negative impact on economic growth. This paper identifies an important policy implications that of national innovation and institutional factors should be properly invested in accordance with the level of a country's economic growth.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.55-64
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• 2008

The Internet possesses not only features of mass media but also features of word of mouth communication. Communication channel is considered as one of most important variables in diffusion process. In this paper, we examined functionality of technology diffusion on the Internet through the use of meta tags. We have measured the coefficients of the Bass diffusion model which has been well-established in new product diffusion. This research shows that the Bass model is appropriate for describing technology diffusion on the Internet. The external influence as represented by the coefficient of innovation was found to be much smaller while the internal influence dominates in all meta tag diffusion. In meta tag diffusion, the internal influence as represented by the coefficient of imitation was increased at least twice bigger than that of consumer durables and information technology. Collecting necessary data in social sciences research can be a burden. This research shows that it can be alleviated through the use of software agents over the Internet. The research made use of software agents for collecting longitudinal data from publicly accessible archive such as Archive.org.

• IE interfaces
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• v.25 no.2
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• pp.255-263
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• 2012

In order to ensure the reliability and specialty of weapon system test results, a policy of extending certified testing service institutions has been driven by applying accreditation system of the ones in defense industry. Bass and Logistic models are used to apply the policy effectively and forecast the diffusion pattern of certified testing service institutions. The parameters for diffusion forecast are estimated using the diffusion pattern of certified testing service institutions in non-defense industry, and these are applied to forecast the diffusion of certified ones in defense industry. Coefficients of innovation and imitation of Bass model are analyzed to derive the factors influencing the early adoption and diffusion patterns. The more increasing the coefficients, the earlier adoption occurred. Diffusion pattern due to coefficient of imitation, internal factor, has larger effect on sensitivity of diffusion pattern. This means that the self recognition of necessity is more effectively worked than the policy or regulations driven by government.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.2
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• pp.81-96
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• 2002

Telecommunication services are distinctive in that their adoptions are influenced by network effect resulting in 'the late take-off phenomenon' and the 'critical mass' problem. In this paper we examined, so called, 'the late take-off phenomenon' in the diffusion process of telecommunication services. We compared the parameters of the diffusion process of consumer durables with those of fax services in the US and Korea. By analyzing the parameters of a new diffusion model based on the threshold model proposed by Markus, we found that 'the late take-off phenomenon' resulted from the low heterogeneity of the threshold distribution for the potential adopters. A simulation approach was proposed for the theoretical implication of the 'critical mass' problem in the start-up telecommunications services.