• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1180-1189
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• 2007

The purpose of this study is to search the level of localization strategy of imported brands in Korean Market, to investigate relationship between the brand characteristics and localization strategy, and to study the case about localization strategy of the brand selected according to the type of brand. The survey research was employed and for the data analysis, descriptive statistics, one-way ANOVA, and multiple-regression were used. For the case study, interview with the person who works in the each kind of company was used. The results of this study were as follows: Firstly, the level of localization strategy is found in order price, place, promotion and product. Secondly among the brand characteristics, type of brand, proportion of garments, price zone, launching time, number of shop are related with localization strategy, but turnover and number of the staff are not. Thirdly, license brand has the characteristics like as national brands and the differences between the branch and the agent is confidence and communication that are the basic elements of localization. This study can help national brands to refer the localization strategy and provide the understanding of localization strategy of imported brands in Korean fashion market.

• The Journal of Information Technology
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• v.10 no.2
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• pp.11-27
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• 2007

This thesis is analysing localization of human resources recruitment in the overseas investment of the Korean firms. The main results of the analysis can be summarized as follows: first, Korean overseas local corporations have achieved localization for physical workers. But localization above middle manager level is very poor. Second, local corporations are managed by the employee from Korean parent company. Third, parent company mentioned language ability, work process ability of local business, responsibility, leadership as selection basis for the workers in overseas local corporations. Localization propel strategy of local corporation human resources recruiting : (1) human resources recruiting strategy is the strategy of outsider. simple global human resources recruiting strategy is the recruiting of person dispatched from headquarter rather than local human resources (2) human resources recruiting strategy is the strategy of multidomestication. multidomestication human resources recruiting strategy is the strategy to use in case of stabilization in local area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2627-2647
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• 2022

The easy scalability and low cost of range-free localization algorithms have led to their wide attention and application in node localization of wireless sensor networks. However, the existing range-free localization algorithms still have problems, such as large cumulative errors and poor localization performance. To solve these problems, an incremental strategy-based residual regression network is proposed for node localization in wireless sensor networks. The algorithm predicts the coordinates of the nodes to be solved by building a deep learning model and fine-tunes the prediction results by regression based on the intersection of the communication range between the predicted and real coordinates and the loss function, which improves the localization performance of the algorithm. Moreover, a correction scheme is proposed to correct the augmented data in the incremental strategy, which reduces the cumulative error generated during the algorithm localization. The analysis through simulation experiments demonstrates that our proposed algorithm has strong robustness and has obvious advantages in localization performance compared with other algorithms.

• Journal of the Korean Society of Earth Science Education
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• v.6 no.1
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• pp.60-68
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• 2013

The aim of the study is determined to find out how elementary science localization teaching strategy would influence environmental perception of students. In order to fulfill the research purpose, a total of 51 fifth graders from two classes in M Elementary School in U City were divided into a 26 of experimental group and a 25 of comparative group. The study was carried out from September to November of 2012. For the experimental group, an elementary science localization classes were conducted while for the comparative group, a general science classes were performed. The results of the research are presented as follows. First, it was learned that the experimental group with the elementary science localization class would have a significantly and statistically high environmental sensitivity comparing to that of the comparative group. That proves the elementary science localization class's being efficient at improving the students' environmental sensitivity. Second, the experimental group with the elementary science localization class turned out to have a significantly and statistically strong will to protect the environment than the comparative group would do. Such finding says that the elementary science localization class is helpful to enhance the students' will to preserve the environment. In conclusion, the study came to understand that the elementary science localization teaching strategy can improve the environmental perceptions of the students for such elementary science localization class would efficiently encourage environmental interest of the students.

• Management & Information Systems Review
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• v.34 no.1
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• pp.35-49
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• 2015

Recently, researchers and practitioners are emphasizing the importance of integrated-strategic perspective between market and non-market strategies. In this perspective, this study was designed to examine the relationships between cultural distance and the degree of localization strategy and also the moderating effects between them. Using CSR data together with the localization index data (from 2010 to 2012) of multinational companies competing in Chinese market, the three hypotheses proposed in the study were examined. The results of multiple regression analyses show that cultural distance is positively related to the degree of localization strategy of multinational companies. The corporate social responsibility is also positively related to the degree of localization strategy of multinational companies. However, there is negative moderating effect of corporate social responsibility on the relationship between cultual distance and the degree of localization strategy. The findings of this study representing the complementary effects between localization strategy and corporate social responsibility imply that the effect of market competitive strategy can be complemented by non-market strategy. Thus, firms should plan their non-market strategies in the perspective of integrated strategic perspective with market strategy to compete with competitors and increase performance more efficiently.

• Smart Structures and Systems
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• v.6 no.5_6
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• pp.561-578
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• 2010

This study proposes a multi-level damage localization strategy to achieve an effective damage detection system for civil infrastructure systems based on wireless sensors. The proposed system is designed for use of distributed computation in a wireless sensor network (WSN). Modal identification is achieved using the frequency-domain decomposition (FDD) method and the peak-picking technique. The ASH (angle-between-string-and-horizon) and AS (axial strain) flexibility-based methods are employed for identifying and localizing damage. Fundamentally, the multi-level damage localization strategy does not activate all of the sensor nodes in the network at once. Instead, relatively few sensors are used to perform coarse-grained damage localization; if damage is detected, only those sensors in the potentially damaged regions are incrementally added to the network to perform finer-grained damage localization. In this way, many nodes are able to remain asleep for part or all of the multi-level interrogations, and thus the total energy cost is reduced considerably. In addition, a novel distributed computing strategy is also proposed to reduce the energy consumed in a sensor node, which distributes modal identification and damage detection tasks across a WSN and only allows small amount of useful intermediate results to be transmitted wirelessly. Computations are first performed on each leaf node independently, and the aggregated information is transmitted to one cluster head in each cluster. A second stage of computations are performed on each cluster head, and the identified operational deflection shapes and natural frequencies are transmitted to the base station of the WSN. The damage indicators are extracted at the base station. The proposed strategy yields a WSN-based SHM system which can effectively and automatically identify and localize damage, and is efficient in energy usage. The proposed strategy is validated using two illustrative numerical simulations and experimental validation is performed using a cantilevered beam.

• East Asian Journal of Business Economics (EAJBE)
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• v.4 no.1
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• pp.16-21
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• 2016

This study analyzed the successful case of Naver LINE's entry into the Japanese market. LINE pursued a strategy of establishing its dominance early on and implemented localization for Japan and thereby achieved success in the Japanese market. The various strategies adopted by LINE allowed it to win over 80% of the market share in Japan and function as a nationally ubiquitous mobile messenger. The conclusions to be drawn from our LINE analysis is that LINE must implement localization strategies suited to the characteristics of each country, as it had done successfully in Japan. In the Asian region, it should retain the platform that provides various contents while pursuing a localization strategy to secure competitive edge, by offering emoticons suitable for each country, such as Ramadan emoticons in Islamic regions.

• Journal of Information Technology Services
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• v.16 no.3
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• pp.1-15
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• 2017

This study is aimed to find out which factors among firm-specific resources, industry-based competition, and institutional conditions affect strategies for Korean IT manufacturing companies when they expand their business overseas, especially to Vietnam in this study. Also, it attempts to reveal which strategies among cost reduction, mass production, and localization affect performance of overseas expansion. Based on Strategy Tripod Theory as an integrating point-of-view embracing resource-based view, industry-based view, and institution-based view, research model was developed and tested through the survey of 83 Korean IT manufacturing companies expanded their business to Vietnam. Research findings show that (1) communication competency, industry competitiveness, industry attractiveness, and regulation of partner country affect cost reduction strategy. (2) International experience, communication competency, international orientation, and competitiveness is significantly associated with mass production strategy. (3) And international experience, communication competency, and industry competitiveness affect localization. (4) Ultimately, mass production strategy and localization strategy significantly increase performance of expansion to Vietnam. The theoretical contribution of this study is to adopt an integrative approach based on strategy tripod theory. As practical implications, it suggests factors and strategies that IT manufacturing companies interested in expansion to Vietnam should consider. In sum, we believe this study can contribute to Korean IT manufacturing industry by suggesting key success factors and appropriate strategies for overseas expansion.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.2
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• pp.104-109
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• 2016

In this paper, a localization method for multiple robots based on Bayesian inference is proposed when multiple robots adopting multi-RAT (Radio Access Technology) communications exist in cognitive radio networks. Multiple robots are separately defined by primary and secondary users as in conventional mobile communications system. In addition, the heterogeneous spectrum environment is considered in this paper. To improve the performance of localization for multiple robots, a realistic multiple primary user distribution is explained by using the probabilistic graphical model, and then we introduce the Gibbs sampler strategy based on Bayesian inference. In addition, the secondary user selection minimizing the value of GDOP (Geometric Dilution of Precision) is also proposed in order to overcome the limitations of localization accuracy with Gibbs sampling. Via the simulation results, we can show that the proposed localization method based on GDOP enhances the accuracy of localization for multiple robots. Furthermore, it can also be verified from the simulation results that localization performance is significantly improved with increasing number of observation samples when the GDOP is considered.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.215-236
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• 2017

Obtaining accurate location information is important in practical applications of wireless sensor networks (WSNs). The distance vector hop (DV-Hop) is a frequently-used range-free localization algorithm in WSNs, but it has low localization accuracy. Moreover, despite various improvements to DV-Hop-based localization algorithms, maintaining a balance between high localization accuracy and good stability and convergence is still a challenge. To overcome these shortcomings, we proposed an improved DV-Hop localization algorithm based on the bat algorithm (IBDV-Hop) for WSNs. The IBDV-Hop algorithm incorporates optimization methods that enhance the accuracy of the average hop distance and fitness function. We also introduce a nonlinear dynamic inertial weight strategy to extend the global search scope and increase the local search accuracy. Moreover, we develop an updated solutions strategy that avoids premature convergence by the IBDV-Hop algorithm. Both theoretical analysis and simulation results show that the IBDV-Hop algorithm achieves higher localization accuracy than the original DV-Hop algorithm and other improved algorithms. The IBDV-Hop algorithm also exhibits good stability, search capability and convergence, and it requires little additional time complexity and energy consumption.