• Korea Trade Review
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• v.44 no.4
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• pp.51-66
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• 2019

This study analyzes trade competitiveness by classifying the classification by item among Korea and the 10 ASEAN member countries into high level and medium-high level technology industry groups, medium level, medium-low level, and low-level technology industry groups. Before analyzing each of the 10 member states, I investigate the trade competitiveness between Korea and ASEAN, and analyze the trade competitiveness of Korea, especially among the 10 member countries, with Korea having a competitive industrial force. The study results revealed that trade with Vietnam was actively promoted, with Korea-Vietnam trade volume also growing far above that of other member states. And trade with Korea was brisk in the order of Singapore, Indonesia, Malaysia and the Philippines. The analysis of the trade structure of the 10 ASEAN member states, confirmed that imports were also being made while exporting items in the high- and medium-level technology industry groups. The possibility of entering the Korean market was quite high, given that Korea imported high- and medium- and high-tech industrial forces while exporting low-tech industrial forces.

• Korea Trade Review
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• v.44 no.1
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• pp.237-251
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• 2019

This paper seeks to recommend strategic policy options geared towards enhancing sophistication level of Ulsan City's major export industries in the Republic of Korea. Ulsan's major export industries, including shipbuilding, automobile and petrochemical industries, turn out to be based mostly on low to medium technology with low R&D intensity suggesting relatively low level of product sophistication. Using a recent Eurostat high-tech industry classification table which suggests 9 high-tech industries, the paper identifies Ulsan's chemical industry as the only RCA industry. Focusing on chemical industry products at HS 6-digit level, specific products are identified at the efficiency frontier for future policy considerations.

• Korean small business review
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• v.41 no.3
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• pp.1-22
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• 2019

The purpose of this research was to investigate the impact of the partner types (supplier, customer, competitor, research institution, more than one partner type) for SMEs on radical and incremental innovation. Another purpose was to examine how the relation varies according to the technological intensity of an industry to which the focal firm belongs. To test the hypotheses, we used the 'KIS(Korean Innovation Survey) 2014' data and the empirical analysis was done with the effective survey from 3,846 Korean SMEs. We employed STATA 14 for validity, confirmatory factor analysis, and binary logistic regression analysis. The results revealed that, when viewed the entire manufacturing SMEs, cooperation with suppliers, customers and research institutes has all been shown to have a positive effect on the radical and gradual innovations of SMEs. However, The relationship between partner type and radical innovation has been significantly different depending on the technical intensity of the industry. When cooperating with suppliers, the impact on radical innovation of SMEs was significant only in low-tech and medium-low tech industries. In contrast, when working with customers, the impact on the radical innovation of SMEs was significant only in the high-tech, medium-high tech, and medium-low tech industries, except for low tech industries. Meanwhile, although cooperation with competitors has a positive effect on radical innovation, this has been only significant in the medium-high tech industries.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.4
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• pp.15-32
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• 2016

This study examines the relationship between dynamic capabilities and operational capabilities as well as investigates the effect of these capabilities and performance. We also test these relationships on two industry groups categorized into high-tech industries and low-tech industries. We collected 221 firms' data from a questionnaire survey of small and medium-sized enterprises in Korea. Empirical results show that dynamic capabilities and operational capabilities influence performance positively. In high-tech industries dynamic capabilities directly affect performance while marketing capabilities appear to mediate the relationship between dynamic capabilities and performance. Dynamic capabilities show no significant effect on performance for low-tech industries; however, operational capabilities do mediate the relationship between dynamic capabilities and performance.

• Korea Trade Review
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• v.47 no.5
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• pp.147-160
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• 2022

This study aim to use the GTAP model to analyze the impact of RCEP Fermentation in the Korean manufacturing industry by quantifying the RCEP tariff commitment table. The research results show RCEP has boosted output in all sub-manufactures except wood and printed matter due to increased export volumes. Wood products, on the other hand, are more reliant on imports due to lower production due to lower domestic sales or overall exports. After RCEP came into effect, the import and export scale of Korea's manufacturing industry expanded effectively. Among them, the positive impact on the intensive low-tech manufacturing industries such as clothing and leather products, wood products and printing products, and food, beverage and tobacco products is greater than the positive impact on the technology-intensive medium and high-tech and high-tech manufacturing industries. And found that the growth rate of Korea's manufacturing trade is basically proportional to the tax reduction rate of RCEP. Finally, in order to promote the development of the manufacturing industry, some suggestions are put forward that need the government's policy support and strengthen the regional cooperation with RCEP member countries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.76-91
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• 2019

There have been many studies to examine the patterns in innovations reflecting industry-specific characteristics from an evolutionary economics perspective. The purpose of this study is to identify industry-specific differences in product innovation patterns and determinants of innovation performance. For this, Korean manufacturing is classified into high-tech industries and low-tech industries according to technology intensity. It is also pointed out that existing research does not reflect the decision-making process of firms' R&D implementations. In order to solve this problem, this study presents a Heckman sample selection model and a double-hurdle model as alternatives, and analyzes data from 1,637 firms in the 2014 Survey on Technology of SMEs. As a result, it was confirmed that the determinants and patterns of manufacturing in small and medium-size enterprise (SME) product innovation are significantly different between high-tech and low-tech industries. Also, through an extended empirical model, we found that there exist a sample selection bias and a hurdle-like threshold in the decision-making process. In this study, the industry-specific features and patterns of product innovation are examined from a multi-sided perspective, and it is meaningful that the decision-making process for manufacturing SMEs' R&D performance can be better understood.

• Journal of Technology Innovation
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• v.26 no.3
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• pp.98-128
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• 2018

This study aimed to investigate the performance on technology collaboration of small and medium enterprises in Korea from the views of resource-based theory. Considering that supplementing the technical resources is stressed in a motivation of technology collaboration from the corresponding theoretical perspective, a group of corporations to be analyzed was classified into three categories such as high, medium and low technologies depending on the technology level. Moreover, technology collaboration partners were also classified into large corporation, small and medium enterprises, university and institution based on that both tangible and intangible assets that belong to a corporation semi-permanently, and the revolutionary performance was analyzed by each relationship of collaboration between parties. The study results revealed that an influence on the performance of technology collaboration varies by technology level of the small and medium enterprises in Korea and their collaboration partners. In particular, the small and medium enterprises of high-tech industry in Korea were confirmed to accomplish relatively less benefits obtaining through technology collaboration compared to the corporations with low technical skills.

• International Journal of High-Rise Buildings
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• v.9 no.1
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• pp.105-111
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• 2020

In recent years the construction sector has grown significantly in terms of investment and research on robotics and automation, yet it is still a low-tech and disjointed industry. One of the main scopes of this paper is to determine how robotic automation can provide the answers to the needs this industry has. To that end, an overall framework and development agenda of current technological innovation in the field has been outlined. Possible drawbacks and driving forces in the development of robots in the construction site have been identified. In addition, the review provides for state-of-the-art policies and regulations, as well as the short and medium-term outlook in different markets and countries. Ultimately, the forecast impact on traditional processes, construction sites, emerging technologies and related professions has been summarized in order to delineate prospective repercussions and future directions towards self-sufficiency.

• The Journal of Industrial Distribution & Business
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• v.8 no.6
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• pp.33-40
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• 2017

Purpose - This study attempted to discover the impact of the Korea-China FTA(Free Trade Agreement) on electronic products distribution industry. Strategies will be provided to expand both countries' trade after the Korea-China FTA. Research design, data, and methodology - This study analyzed the differences before and after the Korea-China FTA, using an RCA(Revealed Comparative Advantage) index, TC(Technology Sophistication Index) index and TSI(Trade Specialization Index) that considered the FTA tariff situation. Data was collected from the International Trade Statistics Database and Korea, China Customs Service. Results - The results indicate that following the Korea-China FTA, China and Korea's bilateral trade of electronic products is expected to expand, and both countries will experience net welfare gains from the markets' expansion. Korea is competitive in several key products, although it faces competition from China. China's electronic products' competitiveness have indicated an increasing trend. Conclusions - The two countries should closely cooperate and communicate with each other. Ultimately, Korea should focus on high-tech, sophisticated techniques to gain market advantage. On the other hand, with the tariff decrease as well as the labor cost and labor force base, China will greatly be able to benefit from the manufacturing of medium- to low-end products in the future.

• Journal of Technology Innovation
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• v.29 no.3
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• pp.33-62
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• 2021

This study compares and analyzes the efficiency of R&D activities of technology-innovative small and medium-sized enterprises(SMEs) between industries and proposes ways to improve efficiency. The research samples are 6,708 technology-innovative SMEs, which have received a guarantee by the KIBO from 2008 to 2011. Input variables are the level of R&D personnel, R&D investment, and output variables are patent applications, prototype. Efficiency is measured by the DEA model, and indirect comparisons that are individually measured by industry are performed. As a result of the analysis, the CCR for determining the optimal returns to scale is 0.19, the BCC for determining the optimal input distribution is 0.70, and the SE for determining the optimal output is 0.30. By industry type, the medium and low-tech industries have high CCR and BCC, while the high-end and high-tech industries have high SE. R&D activities need to be operated on an optimal scale through managing R&D performance because there is the inefficiency of scale across the industry. The contribution of the study is to analyze the R&D efficiency of each industry of technology-innovative SMEs by the technology evaluation data of the KIBO.