• KDI Journal of Economic Policy
• /
• v.44 no.4
• /
• pp.25-42
• /
• 2022

I analyze how the food delivery market's indirect network effect and spillover effect influence the spread of food delivery platforms in different counties. This study finds that there is a positive local indirect network effect and a positive spillover effect in the adoption of the platform by examining the food delivery platform market in South Korea as of 2020. As food delivery platforms secure consumers who use them, more restaurants on the other side of a two-sided market adopt such platforms (indirect network effect). The spillover effect would allow other restaurants in a region to become more likely to adopt food delivery platforms if there are a greater number of restaurants in the region that use such platforms. This study contributes to the comprehension of technology diffusion and the marketing strategies of platform providers by providing empirical evidence of both effects.

• Journal of the Korean Institute of Gas
• /
• v.4 no.4 s.12
• /
• pp.34-41
• /
• 2000

The purpose of this paper is to assess the R&D investment of Korea Gas Corporation (Kogas) by combining several measures including R&D needs, technology spillover effects, and technology stock at the corporate level. This study has revealed that Kogas has concentrated its R&D resources on the operation and maintenance of gas supply facilities, and technology groups, which have higher fulfillment of R&D needs and technology spillover effects, have been on the relatively greater level of technology stocks.

• Journal of Technology Innovation
• /
• v.22 no.3
• /
• pp.1-35
• /
• 2014

This study analyzed convergence status among input technologies used in technology development with Technology I-O analysis. It was another version of industry input-output analysis which is used in technology planning. This case is an analysis of association between technology an product. The subjects of analysis were 401 tasks that applied to '2012 Convergence Technology Development Project for Small and Medium Businesses' promoted by Korea Technology & Information Promotion Agency for Small and Medium Enterprises. The process of analysis is as followed. First step, we made a matrix table as an input of technology input-output analysis. Input was defined by technology and output was defined by the product. Input technology was defined in a 3-digit code under National Science Technology Classification and output products were defined in a 5-digit under National Standard Industry Code. Second, the Spillover ratio among technologies were calculated and was used to make a picture of technology linkage. As a result of analysis, technology spillover of embedded S/W was the highest in IT convergence, mold product in ET convergence, and functional cosmetics development technology in BT convergence. In general, IT convergence had many element technologies with high technology spillover, and ET had a small number of element technologies with high technology spillover. Therefore, investment effect of element technology is expected to be large if investment on element technologies with high technology spillover is important for vitalizing convergence.

• Journal of Technology Innovation
• /
• v.14 no.3
• /
• pp.23-42
• /
• 2006

This study investigates the determinants of output of a manufacturing firm's innovative activity (the number of patent applications) and spillover effects using a count data model. This paper attempted a negative binomial distribution In order to take into account unobserved heterogeneity. The results of our study suggested that Firm size, R&D intensity, technical network activity, and online business performance have significantly positive effects in the Korean manufacturing industry. Moreover, there are significantly positive spillover effects in the same industry sector.

• Journal of Technology Innovation
• /
• v.18 no.2
• /
• pp.147-174
• /
• 2010

This paper aims to analysis sectoral innovation patterns of technological innovation and localized knowledge spillover in Korean manufacturing sector. Sectoral innovation system approach proposed that the specific pattern of innovative activity and knowledge spillover in an industry can be explained as the outcome of different technological regimes. Technological regime is defined by the particular combination of technological opportunities, appropriability of innovations, cumulativeness of technical advances and properties of the knowledge base. Based on a sample of 2,882 firms in manufacturing sector, this paper provides empirical estimates of the relationships between firm's product innovation and localized knowledge spillover. Results of the analysis provide considerable support to the hypothesis that firm's product innovation and localized knowledge spillover are related to the nature of the underlying technological regime. In the industry based on the tacit and specific knowledge, firm's product innovation is positively related to the localized knowledge spillover. This paper also shows that high stability in the ranking of innovators are related to high degrees of cumulativeness and appropriability.

• Journal of Technology Innovation
• /
• v.31 no.2
• /
• pp.263-301
• /
• 2023

This study analyzes whether the network characteristics lead to differences in innovation performance between inventors, using the case of Samsung Electronics and Hyundai Motor Company which have applied for the most patents in the electronics and automobile industries while showing significant differences in the degree of collaborative invention. The more inventors an inventor is connected with in the network, the higher innovation performance is achieved. While existing literature addressed intra- / interindustry, and intra- / inter- group spillovers at the organizational level, this study extends this discussion to the inventor level. This study newly introduces spillover pools from network components and then constructs spillover pools in three dimensions of the group, the industry, and the network component. The study analyzes the effects of each spillover pool on invention performance of an individual inventor and compares the effects between spillover pools. At the inventor level, the innovative effects of spillover pools were confirmed. The results of this study suggest that the inventor's network characteristics and spillover pools can be used to predict the inventor's innovation performance.

• Journal of Korea Technology Innovation Society
• /
• v.7 no.2
• /
• pp.325-349
• /
• 2004

This paper tried to evaluate an economic analysis about research and development far areas of renewable resource in Korea. To evaluate this validity, we tried to calculate the spillover effect of R＆D investment through input-output table. In the first stage of spillover effect, we simply calculate the rate of return on R＆D investment for renewable energy resources in Korea through the input-output model, which can calculate the value added as well as output based upon the price of 2000 year. According to the first stage calculation, the rate of return on R＆B investment in solar heat is higher than any other renewable energy. In the second stage we tried to calculate the second round of spill over effect, which derives from the additional amount of supply of renewable resources due to the R＆D investment. The overall evaluation of R＆D invesment including the first stage as well as second stage spillover effect shows that bio-energy and waste energy generate 14 times as well as 2.5 times in the rate of return respectively.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.2
• /
• pp.71-80
• /
• 2014

Standard Industrial classification is a key factor of technology spillover effect. It is the result of the empirical study that is the IC(industrial classification) which influences the technology spillover effect by way of interaction term, or moderating effect combing independent variables and moderators. As relatively high technology industry is more important than the low counterpart in R&D management system. And the result of the study says that Government should support SME's considering the IC moderating effect and different subsidies which is appropriated to the SME's IC(industrial classification). This way of Government subsidy will improve the efficiency of industrial policy effect of SME's.

• Journal of Korea Trade
• /
• v.27 no.5
• /
• pp.137-152
• /
• 2023

Purpose - Although many existing studies on the US-China hegemonic conflict and decoupling have been published, most of them are qualitative and use descriptive analysis methods. Papers that quantitatively analyzed decoupling mainly estimate the effect of a tariff increase. However, this paper quantitatively analyzed the ripple effect by focusing on decoupling technology spillover between the United States and China. And, for the first time, it was suggested that the blocking of technology spillover could give a fatal blow to the East Asian economy as well as China. Design/methodology - The United States is pursuing decoupling with China, primarily in goods trade and blocking technology transfer. This paper sets up various scenarios and uses three computational general equilibrium (CGE) models to analyze the overall ripple effects of decoupling. A paper using the three CGE models for decoupling ripple effect analysis has not yet been published. Findings - Decoupling will hit the economies of regions with close economic ties to China more than others. According to simulation results of this study, the Chinese economy may suffer severe damage that is difficult to recover from, and the economies of Asian countries are predicted to deteriorate to the point of being choked. Originality/value - Existing papers that assessed the effect of decoupling mostly focus on estimating the effect itself through tariff hikes. This paper is meaningful in that it comprehensively analyzed decoupling by adding the effect of technology spillover blockade. In addition, another meaning can be found in that it quantified for the first time that it will deal a huge blow to the extent of choking the East Asian economy as well as China.

• Journal of the military operations research society of Korea
• /
• v.32 no.2
• /
• pp.143-164
• /
• 2006

This paper considers the technology spillover effects on industries by analyzing patents. Registered patents in the United States from Korea in 1990 and 1995 are compared by quantity of registrations as well as patent analysis indices, namely, cites per patent, technology cycle time and science linkage. Several regression models between these indices as predictor variables and the value added of an industry as a dependent variable were investigated. The results show that the value added of an industry positively correlates to the number of patent registrations and cites per patent.