• Korean small business review
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• v.43 no.1
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• pp.147-164
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• 2021

This study focuses on succession in a family business which is the crucial factor affecting future and survival of a family business. Especially, the study concentrate a successor's view which is regarded as a key-player during the succession. In this study, we used AHP (Analytic Hierarchy Process) methodology to identify priorities of factors influencing succession. We divided into two-tier level. The first-tier is defined as 1) the relationship with an incumbent CEO, 2) a successor 's management ability, 3) a successor' s self-efficacy and 4) succession plan. For the second-tier of each first-tier have 3 sub-factors ; 1) the relationship with an incumbent CEO is set as level of mutual trust, sharing the vision of a company, and level of communication each other. 2) A successor 's management ability is based on business competence, education and training and interpersonal management ability, 3) a successor 's self-efficacy was set as successor' s willingness of succession, confidence of overcoming crisis and confidence of achieving objectives. Lastly, 4) a succession plan is set as finance plan, leadership transformation plan and human-organization management plan. A total of 93 questionnaires is distributed and retrieved, and 88 questionnaires are used for the study, excluding those with missing data. As a result of this study, successors selected 1) the relationship with an incumbent C.E.O. as the most important priority in the first-tier. The second is 2) a successor 's management ability, the third is 3) a successor' s self-efficacy, and the last priority is 4) a succession plan. In particular, 3 sub-factors that make up the relationship with an incumbent are the most important factors. These factors rank the first to the third in the final result.

• Iberoamérica
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• v.23 no.2
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• pp.93-134
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• 2021

With the inauguration of the Bolsonaro administration in 2019, Brazil experienced a noticeable transformation in its policy lines at home and abroad. Limiting this change to diplomacy, it can be pointed out that pro-U.S. and anti-China diplomacy, which is clearly distinguished from the previous regimes, has begun in earnest. Nevertheless, the existing literature on this topic is limited, and it is mainly poetic reporting through the media. This paper aims to derive the main determinant of Bolsonaru's pro-U.S. and anti-China diplomatic lines by postulating the individual level of the political leader as a key variable. This study argues that his personal experience and beliefs and world views formed by his life history, and Bolsonaro's political calculation that would strengthen his domestic political support through linking between his domestic politics and diplomatic lines, ultimately influenced the dependent variable. This study is thought to be meaningful in that it enhanced the theoretical implications of not only the theory of foreign policy determinants but also the understanding of Brazil's foreign policy by explaining the factors of Brazil's pro-U.S. and anti-China diplomacy through focusing on an individual level.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1215-1225
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• 2021

Although Artificial Intelligence (AI) techniques have shown impressive performance in various fields, they are vulnerable to adversarial examples which induce misclassification by adding human-imperceptible perturbations to the input. Previous studies to defend the adversarial examples can be classified into three categories: (1) model retraining methods; (2) input transformation methods; and (3) adversarial examples detection methods. However, even though the defense methods against adversarial examples have constantly been proposed, there is no research to classify the type of adversarial attack. In this paper, we proposed an adversarial attack family classification method based on dimensionality reduction and clustering. Specifically, after extracting adversarial perturbation from adversarial example, we performed Linear Discriminant Analysis (LDA) to reduce the dimensionality of adversarial perturbation and performed K-means algorithm to classify the type of adversarial attack family. From the experimental results using MNIST dataset and CIFAR-10 dataset, we show that the proposed method can efficiently classify five tyeps of adversarial attack(FGSM, BIM, PGD, DeepFool, C&W). We also show that the proposed method provides good classification performance even in a situation where the legitimate input to the adversarial example is unknown.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.235-246
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• 2023

In this paper, we propose suggestions for developing a Metaverse platform for educational purpose utilizing a Delphi study method with experts on Metaverse and digital education. 17 experts participated in the 1st study and 16 took part in the 2nd study, and data was collected via emails from January 5th to 10th for the 1st study and from January 12th to 17th for the 2nd study in 2022. Collected data in the 1st study was analyzed by applying content analysis. The results for the 1st study indicated that there were 120 sub-factors were derived from 7 main questions(the necessity of a Metaverse platform for future education, how to use the Metaverse platform for education to improve the capacities needed for future human resources, problems that may arise during education using the Metaverse platform, the functions that the Metaverse platform for education should have, the infrastructure and environment required when using the Metaverse platform for education, how to use the Metaverse effectively as a learning space, subjects and educational contents that will be effective if conducted on the Metaverse platform for education). The results for the 2nd study were presented by being ranked with calculated means of sub-factors for each question. Finally, based on the results, suggestions for building a Metaverse platform for educational purpose are stated and limitations of the study and possible future study are discussed.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.1
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• pp.57-69
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• 2023

In a situation where digital transformation using artificial intelligence is active around the world, the growth of domestic AI companies or AI industrial ecosystems is slow. Where a large amount of government funds related to AI are being invested to overcome the difficult economic situation, systematic research on the effect is insufficient. So, this study aimed to examine the policy effectiveness of the government artificial intelligence solution voucher support project for small and medium-sized enterprises (SMEs) using Propensity Score Matching (PSM) and Difference-in-Differences (DID) on the financial performance of beneficiary companies. For empirical analysis, PSM-DID analysis was performed using sales performance since 2019 for 461 companies with a history of voucher support among the AI SMEs data released by the National IT Industry Promotion Agency. As a result of the analysis, the beneficiary companies' asset growth, salary, and R&D expenses increased overall after government support, and no significant contribution could be confirmed in terms of profits. This study suggests that the voucher policy business directly contributed to the company's growth in the short term, but it requires a certain period of time to generate profits.

• Journal of Digital Policy
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• v.1 no.2
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• pp.9-15
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• 2022

The World Economic Forum has included Water-Energy-Food among the three major risk groups in the world, and Water-Energy-Food is related to the development strategies of countries and the lives of their citizens. This study calculates the combined Water-Energy-Food use efficiency in China for 2011-2020 based on the SBM-Malmquist index. The results show that the overall combined Water-Energy-Food efficiency in China is low, but shows an upward trend. There is a clear variability in the combined Water-Energy-Food utilization efficiency in China, with an overall geographic distribution pattern of East > Middle > West. Only Beijing and Shanghai have reached the real above effective nationwide, and all other provinces have inefficiency between input and output. The Malmquist index of integrated Water-Energy-Food utilization efficiency is 1.136, with an up ward trend, and technical efficiency and technological progress lead the improvement of integrated Water-Energy-Food utilization efficiency in China at the sametime. The Water-Energy-Food issue should be raised to a strategic level as soon as possible, and policy support should be provided for its development. Each region should establish a cross-regional coordinating body to formulate targeted measures according to the province's food production and water distribution, so as to promote economic transformation from sloppy development to green development as soon as possible.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.647-664
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• 2022

Purpose: The purpose of this study is to derive major policies that domestic small and medium-sized manufacturing companies should consider to maximize productivity and quality improvement by utilizing manufacturing data and AI, and to find priorities and implications. Methods: In this study, domestic and international issues and literature review by country were conducted to derive major considerations such as manufacturing AI technology, manufacturing AI talent, manufacturing AI data and manufacturing AI ecosystem. Additionally, the questionnaire survey targeting 46 experts of manufacturing data and AI industry were conducted. Finally, the major considerations and detailed factors importance were derived by applying the Analytic Hierarchy Process (AHP). Results: As a result of the study, it was found that 'manufacturing AI technology', 'manufacturing AI talent', 'manufacturing AI data', and 'manufacturing AI ecosystem' exist as key considerations for domestic manufacturing AI. After empirical analysis, the importance of the four key considerations was found to be 'manufacturing AI ecosystem (0.272)', 'manufacturing AI data (0.265)', 'manufacturing AI technology (0.233)', and 'manufacturing AI talent (0.230)'. The importance of the derived four viewpoints is maintained at a similar level. In addition, looking at the detailed variables with the highest importance for each of the four perspectives, 'Best Practice', 'manufacturing data quality management regime, 'manufacturing data collection infrastructure', and 'manufacturing AI manpower level of solution providers' were found. Conclusion: For the sustainable growth of the domestic manufacturing AI ecosystem, it should be possible to develop and promote manufacturing AI policies in a balanced way by considering all four derived viewpoints. This paper is expected to be used as an effective guideline when developing policies for upgrading manufacturing through domestic manufacturing data and AI in the future.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.107-118
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• 2022

As connected and automated driving(CAD) technology is entering its commercialization stage, service platforms providing CAD-based mobility services have increased these days. However, CAD-baded mobility services with these platforms need more consideration for the demand for mobility services when determining target areas for CAD-based mobility services because current CAB-based mobility design focus on driving performance and driving stability. For a more efficient design of CAD-based mobility services, we analyzed the applicability for the introduction of CAD-based mobility services in terms of driving difficulty of CAD and demand patterns of current non-CAD based-mobility services, e.g., taxi, demand-responsive transit(DRT), and special transportation systems(STS). In addition, for the spatial analysis of the applicability of the CAD-based mobility service, we propose the Index for Autonomous Driving Applicability (IADA) and analyze the characteristics of the spatial distribution of IADA from the network perspective. The analysis results show that the applicability of CAD-based mobility services depends more on the demand patterns than the driving difficulty of CAV. In particular, the results show that the concentration pattern of demand in a specific road link is more important than the size of demand. As a result, STS service shows higher applicability compared to other mobility services, even though the size of demand for this mobility service is relatively small.

• Korean Journal of Mineralogy and Petrology
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• v.35 no.4
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• pp.423-430
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• 2022

Pressure-dependent elastic behavior and chemical reaction of natural sepiolite (Mg₈Si₁₂O₃₀(OH)₄·12H₂O) was studied under two different pressure-transmitting medium (PTM) conditions using synchrotron X-ray powder diffraction. Under non pore-penetrating silicone oil PTM, we observed that the b-axis length increases up to ca. 3.6 GPa, marking an anisotropic compression region with negative linear compressibility of β^b= -0.0012 GPa^-1, which then decreases at 7.7 GPa. Under pore-penetrating water PTM, the anisotropic compression behavior is enhanced with doubled negative linear compressibility of β^b= -0.0025 GPa^-1 up to 3.2 GPa, where transformation into stevensite is observed upon ex-situ temperature treatment at 280 ℃ as confirmed via XRD and SEM. Derived bulk moduli (K₀) and linear compressibilities (β) were compared to other structurally and chemically related minerals.

• Ocean and Polar Research
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• v.44 no.2
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• pp.147-160
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• 2022

SRFC (Sub-Regional Fisheries Commission) requested to the ITLOS (International Tribunal for the Law of the Sea) an advisory opinion relating to the IUU (Illegl, Unreported, and Unregulated) fishing (Case No-21 of the ITLOS). Since, in the UNCLOS, there is no article authorizing the jurisdiction of the ITLOS full court's Advisory opinion, so various scholarly opinion wad divided. But ITLOS delivered its Advisory opinion confirming its jurisdictional competence over the Advisory proceedings with its legal opinion about the IUU issues. It opens new possibility of the alternative dispute settlement mechanism of the ITLOS through the advisory procedures. In reality, there has been a view that ICJ (International Court of Justice) could take the part of a kind of dispute settlement through its Advisory procedures. But the advisory procedures of the ITLOS, with no definite clause in UNCLOS about the advisory procedures, which provides more allowances for the function of advisory opinion as the alternative dispute settlement mechanism. ITLOS accepted the requests of the advisory opinion by the State parties through international organization or themselves directly. And the advisory opinion of the ITLOS aims the interpretation and application into the special issues-specially IUU fishing in Case No. 21 of the ITLOS-. Those factors could enable more enhanced role of the ITLOS as an alternative dispute settlement mechanism. But those possibility has contain risk of excessive and unlimited advisory role of the ITLOS. So it is important to focus on the restriction on the role of the State parties in the request of the advisory opinion to the ITLOS. In this regard it is meaningful that the ITLOS has suggested a kind of legal standing in the advisory procedures in that only coastal States could request the Advisory opinion about the IUU in their EEZ. Furthermore the discretionary power of the ITLOS in the Article 138 of the Rules of the Tribunal could curtail the abuse of the Advisory opinion initiated by the States parties of the UNCLOS. Under this framework, Advisory opinion could broaden more alternative option to the disputes between State parties of the UNCLOS in that after being delivered detailed interpretation of the UNCLOS about the specific issues, States parties could devote themselves to searching for flexible solution for the disputes between State parties. It could obtain legal explanation about the dispute under the Article 297 and Article 298 by detouring the jurisdiction limits through advisory procedures.