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In this paper, we examine the comparative advantage of Korea and China while focusing on their technology level. The three digit SITC (Standard International Trade Classification) data is classified by technology level and the revealed comparative advantage (RCA) is derived from 1992-2009 by using UN COMTRADE data. For careful interpretation of the comparative advantage and technology levels, we also examined intra-industry trade and unit values of bilateral Korea-China trade, and semi-conductor industry technology. We found that the revealed comparative advantage has moved from low technology products to high technology products in Korea. China still maintains a comparative advantage in low technology products such as textiles and clothing, but at the same time, China’s high and medium-high technology products have recently gained a comparative advantage. The perception that China only has a comparative advantage for labor intensive products with low technology should be changed based on our analysis. However, China’s advancement in technology should not be overestimated. When comparing the unit value of basic materials of Korea’s and China’s exports, we found that Korea’s export product prices are on average higher than that of China’s, although the gap is reducing. A wider technology gap between Korea and China still exists in the semi-conductor industry, which is one of the most advanced high technology industries throughout the world.

The notion that China is factory of the world is now changing. Factories in China are shifting their production base to neighboring Asia, primarily because of higher input costs in China, a volatile Chinese exchange rate, and protectionist measures targeted against Chinese exports. In this paper, we examine the location substitution effect for China: Chinese firms are exporting primary, intermediate and machinery items, meant for producing final output in the Greater Mekong Subregion (GMS). Results suggest that GMS countries are exporting finished items to China, that are increasingly getting manufactured using primary and intermediate inputs imported from China.

This paper examines the network dynamics of the cross-border trades utilizing Social Network Analysis (SNA) based on data obtained from the WTO-OECD Trade in Value Added database from 2000-2011. The main results of this paper are as follows: regarding the top 10 in-degree centrality industries, industries in China, Germany, and the U.S. have emerged as the largest importers of foreign value added, implying that the global production network is dominated by two different types of industries. The first type includes processing and assembling functions in China and Germany. The other type of industry involves foreign value added largely for domestic final demand in the U.S. Secondly, there are also two types of brokerage roles. U.S. industries are operating in a liaison role, while Chinese and German industries are mostly operating as coordinator or gatekeeper. Thirdly, manufacturing industries in China and Germany which have emerged as higher in-degree centrality incur a large portion of their value added from the logistics industry. This suggests that those leading industries with the highest characteristics of hubness in the global production network cannot sustain their network status without efficient utilization of the logistics industry.

This paper aims at examining the dynamic patterns and traits of bilateral trade between Korea and Vietnam. The major findings of this paper can be summarized as follows. First, the structure of trade between Korea and Vietnam conforms to each country’s factor proportion. Second, the structure of Korea’s imports from Vietnam did not change over the last two decades. In other words, Vietnam has failed to climb up the industrial ladder. Third, the degree of intra-industry trade between Korea and Vietnam has been low and unstable. Fourth, the trade pattern between Korea and Vietnam has been complementary not competitive in nature. Korea-Vietnam FTA will open a new horizon for the deeper vertical integration of the two.

This article examines the impact of the ASEAN Free Trade Area (AFTA) on Korean exports to ASEAN countries by using the system generalized method of moments. The data covered 15 sectors according to their relative importance in Korean exports and spanned from 1980 to 2006. The estimated results suggest that Korea’s exports were diverted to ASEAN members as a result of the AFTA formation. In 5 of the 15 sectors, the AFTA exerted a significant negative effect on Korean exports to ASEAN countries, but for the remaining 9, the results were mixed and statistically insignificant. The results also indicate that the sectoral approach yields more robust and clear-cut results than the aggregate one.

The purpose of this paper is to provide an analysis of the performance of a new five-phase doubly fed induction generator (DFIG).

This paper presents the results of a research work related to five-phase DFIG framing, including the development of an analytical model, FEM analysis as well as the results of laboratory tests of the prototype. The proposed behavioral level analytical model is based on the winding function approach. The developed DFIG model was used at the design stage to simulate the generator’s no-load and load state. Then, the results of the FEM analysis were shown and compared with the results of laboratory tests of selected DFIG operating states.

The paper provides the results of analytical and FEM simulation and measurement tests of the new five-phase dual-feed induction generator. The use of the MATLAB Simscape modeling language allows for easy and quick implementation of the model. Design assumptions and analytical model-based analysis have been verified using FEM analysis and measurements performed on the prototype. The results of the presented research validate the design process as well as show the five-phase winding design advantage over the three-phase solution regarding the control winding power quality.

The main disadvantage of the winding function approach-based model development is the simplification regarding omitting the tangential airgap flux density component. However, this fault only applies to large airgap machines and is insignificant in induction machines. The results of the DFIG analyses were limited to the basic operating states of the generator, i.e. the no-load state, the inductive and resistive load.

The novel DFIG with five phase rotor control winding can operate as a regular three-phase machine in an electric power generation system and allows for improved control winding power quality of the proposed electrical energy generation system. This increase in power quality is due to the rotor control windings inverter-based PWM supply voltage, which operates with a wider per-phase supply voltage range than a three-phase system. This phenomenon was quantified using control winding current harmonic analysis.

The paper provides the results of analytical and FEM simulation and measurement tests of the new five-phase dual-feed induction generator.

During the last 20 years trade between Korea and Mexico has increased steadily, reaching $2.8 billion in 2003. This trade expansion will be further accelerated with the increase in intra-industry trade in the future. Mexico's chronic trade deficit against Korea, which is attributed to Korea's increasing investment in Mexico, has rather contributed to Mexico's exports to the American region.

As Mexico expands its FTA networks, Korean companies are having difficulties in accessing the Mexican market. Considering this situation and the economic benefits of a Korea-Mexico FTA for both countries, we should first expand cooperation between private sectors, which is expected to facilitate a formal discussion on the Korea-Mexico FTA.

The paper refers to the framework of ambidexterity to explain the strategic paths of manufacturing SMEs in turbulent times, by investigating SMEs' strategic reaction to the COVID-19 pandemic.

The authors adopted an inductive approach methodology. Using a qualitative research method, Italian manufacturing SMEs in different industries were interviewed to outline how they have faced the negative effects of the COVID-19 by considering the strategies implemented during the pandemic.

The study identifies three ambidextrous strategies for manufacturing SMEs to positively overcome the COVID-19 crisis: (1) playing different roles within the same market (business-to-business and business-to-consumer) simultaneously, (2) simultaneous entrance and management of multiple markets and (3) exploiting manufacturing knowledge for exploring product and business model innovation (simultaneous learning processes).

Results enrich the theoretical discussion on ambidexterity and SMEs, by stressing the strategic dimension of ambidexterity and including a more fine-grained analysis of the different firm’ strategic paths in times of crisis.

The paper provides practical suggestions for manufacturing SMEs on how they can react during turbulent times and crises by implementing ambidextrous strategies also thanks to the use of digital technologies.

This paper contributes to outlining the conditions for SMEs' resilience in the international competitive context by highlighting the perspective of ambidexterity based on the analysis of multiple case studies from manufacturing industries.

This study aims to explore how manufacturing firms master customer lock-in through value creation by servitization innovation strategies from the perspective of asset specificity.

A multiple case study with triangulation fashion is adopted to identify servitization innovation strategies. Several manufacturing firms were investigated, which are distributed in different positions of the value chain. Content analysis and abductive approaches are adopted to analyze the data. Moreover, an in-depth interview and participatory observation were conducted to refine the analysis results.

This study identified four different focusing points of servitization operations. Based on these, the paper further induces an innovative servitization strategy matrix of customer lock-in, concerning communion, intellectual, existential and insubstantial strategies. Furthermore, a conceptual model of customer lock-in by servitization innovation from the perspective of asset specificity is elaborated. It is suggested that companies can use tangible or intangible resources by sharing or storing operations to create servitization value.

This study theoretically proposes a conceptual model to extend servitization innovation as an intangible asset and adopt the new perspective of asset specificity to illustrate the value creation in servitization to generate customer lock-in.

On shield tunnel construction (STC) site, human error is widely recognized as essential to accident. It is necessary to explain which factors lead to human error and how these factors can influence human performance. Human reliability analysis supports such necessity through modeling the performance shaping factors (PSFs). The purpose of this paper is to establish and validate a PSF taxonomy for the STC context.

The approach taken in this study mainly consists of three steps. First, a description of the STC context is proposed through the analysis of the STC context. Second, the literature which stretch across the PSF methodologies, cognitive psychology and human factors of STC and other construction industries are reviewed to develop an initial set of PSFs. Finally, a final PSF set is modified and validated based on STC task analysis and STC accidents cases.

The PSF taxonomy constituted by 4 main components, 4 hierarchies and 85 PSFs is established for human behavior modeling and simulation under the STC context. Furthermore, by comparing and evaluating the performance of STC PSF and existing PSF studies, the proposed PSF taxonomy meets the requirement for qualitative and quantitative analysis.

The PSF taxonomy can provide a basis and support for human behavior modeling and simulation under the STC context. Integrating PSFs into a behavior simulation model provides a more realistic and integrated assessment of human error by manifesting the influence of each PSFs on the cognitive processes. The simulation results can suggest concrete points for the improvement of STC safety management.

This paper develops a taxonomy of PSFs that addresses the various unique influences of the STC context on human behaviors. The harsh underground working conditions and diverse resources of system information are identified as key characteristics of the STC context. Furthermore, the PSF taxonomy can be integrated into a human cognitive behavior model to predict the worker’s behavior on STC site in future work.