• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.71-82
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• 2016

The purpose of this study is to prove empirically that technology investment propency factors (TIPFs) refect on the technological competitive advantage (TCA) and management performance. It includes the role of open technology innovation (OTI) approach is mediate to TCA from technology investment propensity. Especially the three TIPFs are market orientation, innovation orientation and strategy orientation. The analysis were performed based on the respondents' data from 181 firms focusing to technology innovation and information technology. The suggested research assumptions including structured equation model were proved. Therefore, this study emphasizes that CEO or CTO must concentrate on innovative, strategic and market oriented propensity when he makes a decision on technology investment. An open innovation approach is effective for getting high TCA and management performance in technology intensive firms such as technology innovation and information technology.

• Journal of Distribution Science
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• v.17 no.10
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• pp.125-134
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• 2019

Purpose - Environment-friendly behaviors are diverse and can be motivated by different factors. For example, magnitude of factors affecting recycling behavior could be different from those affecting purchasing of environmentally-friendly products. In this study, the focus is on usage satisfaction of consumers who have purchased environmentally-friendly products. Research design, data, and methodology - For this purpose, data were collected from a total of 345 users of environmentally-friendly products, consisting of 177 users of electric vehicles and 168 users of environmentally-friendly detergents. The study analyzed the relationships among consumer's innovation propensity, consumer's environmental concern, and usage satisfaction. In addition, the moderating effect of the product's innovativeness was examined. Results - The result shows that there is a relationship between consumer's innovation propensity and consumer's environmental concern. In particular, it is shown that both consumer's innovation propensity and consumer's environmental concern have positive effects on usage satisfaction. Further, there was a moderating effect of the product's innovativeness. Namely, products rated higher in innovativeness showed a greater effect of consumer's innovation propensity on usage satisfaction. The degree of the product's innovativeness also affected the directional paths of the relationships. In the electric vehicle (i.e., high product innovativeness) case, consumer's innovation propensity had a direct effect on usage satisfaction, as well as an indirect effect through consumer's environmental concern. In the environmentally-friendly detergent (i.e., low product innovativeness) case, consumer's innovation propensity only had an indirect effect on usage satisfaction, through consumer's environmental concern. Conclusions - Theoretical contributions of this study are as follows. Foremost, this is the first study that suggests an existence of a relationship between consumer's innovation propensity and consumer's environmental concern. Second, this study showed the positive effect of consumer's innovation propensity on usage satisfaction of environmentally-friendly products. Third, this study expanded the scope of previous studies by showing the interaction between consumer's innovation propensity and consumer's environmental concern. Lastly, this study showed that the effect of these variables on usage satisfaction can differ by the degree of innovativeness of the environmentally-friendly product. The results of the study will have implications for marketers and policy makers in formulating marketing activities and policies.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.689-710
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• 2011

The purpose of this paper is to positively analyze firms' innovative performance enhanced by cooperation, such as industry-university or industry-government, in service industry. We use PSM method (Propensity Score Matching) based on Korea Innovation Survey data in service industry to investigate it. This empirical study finds that cooperation with university or government partially has positive effects on firm's patent applications and innovation. So, we suggest we need various policies for research institute linkage in service industry.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.153-162
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• 2018

The technology of mobile healthcare is steadily growing, but acceptance of consumers is sluggish. Various studies related to mobile healthcare have been conducted, but studies on the characteristics of prisoners are lacking. Therefore, in this study, we examined the effect of diffusion factors of mobile health care on the intention to use, and examined the moderating effect of innovation propensity. The results show that the relative advantage, compatibility, observability, and usefulness of mobile health care affect the intention to use. In addition, the innovation propensity has a moderating effect on the influence of complexity, trialability, and usafulness on intention to use. This study suggests that the use of the concept of innovation propensity has been confirmed as a major control variable in the relationship between innovation diffusion factors and utilization intention. In addition, it suggests that consumers' innovation tendency is a factor to be taken into consideration for suppliers of mobile healthcare.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1829-1837
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• 2010

During the last year, public expenditures which provided the central and local governments for boosting research and development (R&D) activities of the private sector has been constantly increasing. 17 percent of public total R&D expenditure supported to private sector and 9 percent of R&D expenditure in service sector were public R&D funding. However, studies evaluating the impact of public R&D subsidies are quite few. The aim of this study empirically investigate the average effects of public R&D subsidies on the innovation activities in private sector, specifically those engaged in Korean service firms by using Propensity Score Matching(PSM) method. The effect of R&D subsidies is derived from either qualitative and quantitative outcomes of innovation activities, which is defined as the difference between innovation outcome of the treatment group (receiving R&D subsidies) and that of the control group (non receiving R&D subsidies) after the matching method. As a result of empirical analysis, government R&D grants stimulate only firm-first innovation outcomes in service firms. It is represent that public R&D subsidies cannot be contributed to level of national innovation and the total amount of national innovation activities but can enhance firm competitiveness from increasing firm-first innovation activities.

• Journal of Technology Innovation
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• v.2 no.1
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• pp.191-218
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• 1994

This paper aims to find out the R&D personnel management strategies which enhance the productivity of researchers. The R&D personnel management practices are examined focusing on career development and compensation scheme. As proxies for higher motivation and/or productivity, job satisfaction and propensity to leave of researchers are analyzed to evaluate the management practices. Using the survey data from researchers in the Korean automobile industry. this paper suggests the management strategies to raise job satisfaction and thus lower propensity to leave of R&D personnel.

• Korea Trade Review
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• v.44 no.3
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• pp.227-252
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• 2019

This study explores the effects of exports on the innovation of Korean firms listed on two Korean stock markets, the Korean Stock Exchange and the Korean Securities Dealers Quotations, between 1999 and 2016. By matching exporting firms to non-exporting ones with propensity score matching, this study accounts for a problem from sample selection bias that may arise from differences in firm-characteristics between the two groups. From the study results, first, both export participation and export volume significantly increase subsequent innovation performance, as measured by the number of patent applications. This result seems to support the "learning by exporting" hypothesis for Korean listed firms. Second, both export participation and export volume narrow innovation scope, proxied as the number of unique International Patent Classification (IPC) codes of the patent applied, the degree to which patents are concentrated in a particular class, and the degree of proximity in the patents. The findings of innovation scope suggest a possible explanation that the learning effect appears in familiar technology fields that firms have previously held, rather than in unfamiliar ones. Third, these results are robust using alternative proxies in the innovation scope, Tobit regressions to consider the non-trivial portion of sample firms with patent applications equal to zeros, and generalized method of moments (GMM) to control for the persistence of innovation measures hearing over years. Finally, the two main results are more pronounced in large firms than in small and medium-sized ones. As for Chaebol firms, however, these results do not appear.

• 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.

• Journal of Technology Innovation
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• v.31 no.3
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• pp.201-230
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• 2023

The Innovation Procurement Policy was introduced as part of the strategic public procurement policy to improve firms' innovation capabilities and enhance the public sector's ability to solve social problems by designating and purchasing so-called 'innovative products.' The pilot procurement project for innovative products was first introduced in 2019, and the policy system for designating and discovering innovative products by government departments, as well as the priority purchase system, was established in 2020. Hence, this study conducted a quantitative analysis focusing on the effectiveness of the innovation procurement system in supporting firms after it was fully implemented. For this purpose, corporate financial and employment data from 2017 to 2021 were used, and propensity score matching(PSM) and difference-in-difference(DID) methods were utilized as analytical tools. The study found that the innovation procurement system contributed to corporate growth and employment and created additional public and private sales channels. Moreover, it is necessary to enhance the innovation procurement system, such as matching innovative product-producing companies with existing SME support policies, for companies to become self-sustaining after the innovative product designation ends.

• Journal of Technology Innovation
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• v.32 no.2
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• pp.1-21
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• 2024

This study aims to estimate policy effects that appear heterogeneously within the beneficiary group by matching the beneficiary and non-beneficiary groups based on propensity score quartiles and analyzing the effect of policy benefits on sales growth. To achieve this, 239 SMEs that participated in R&D support program for the manufacturing of materials, components, and equipment in 2020 were selected as the beneficiary group. The propensity scores of these companies were calculated and divided into eight quartiles for matching between the non-beneficiary and beneficiary groups. Subsequently, double difference analysis was used to calculate the sales growth rate attributable to policy support. The study found that the largest policy effect was observed in the lowest quartile group, and companies with high patent application rates and 3-year sales growth rates experienced significant policy effects. These findings suggest that propensity score quartile-based analysis can be effectively utilized to refine the criteria for selecting beneficiary companies and the scope of industrial policy support.