• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.403-412
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• 2021

The COVID-19 pandemic has a great impact in various ways. It changes the normal routine of lives and businesses. Many businesses encounter tremendous financial pressure, some of them lay off workers or choose to close down. According to the statistics, e-commerce experiences a four-fold growth in sales during the pandemic period. There is an urgency for firms to digitalize their businesses to respond to the change in the landscape of purchasing patterns of consumers. The purpose of this study is to understand the success of a few popular apparel brands in digital businesses. This is a qualitative research, and secondary data is collected for the analysis. The findings reveal that all of them engage in omni-channel methods in digitizing their businesses while utilizing other forms of technologies in their product and operational management. All selected firms agree with the importance of digital business, and omni-channel retailing is their choice. In these unprecedented times, the sustainable success of the apparel firms in digital businesses requires a flexible and innovative approach and a commitment to achieving operational excellence. Continuous renewal and digital transformation are needed so that these companies have the capabilities to adapt to changes and reap the benefits of a satisfactory organizational performance.

• 한국보육지원학회지
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• 제17권4호
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• pp.129-154
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• 2021

Objective: This research examines the understanding of the competencies required from the director of a childcare center. It also analyzes the characteristics of the capabilities of a director of a daycare center. The research questions are as follows: First, what are the competencies of a childcare center director? Second, what are the characteristics of the competencies of a childcare center director? Methods: In this study, the Q methodology was applied. First, the Q population was identified based on prior studies and through open questionnaires and in-depth interviews targeting 71 teachers and directors of childcare centers. Next, 40 Q samples were selected. Second, P samples were selected targeting the 30 directors, Q sort was conducted, and the data were analyzed using the QUANL program. Results: The main results of this study can be summarized as follows. First, four types of competencies were demanded from the director of a daycare center. Second, the competencies required from the director of a daycare center were accountability-centered, functional-management-centered, human-relationshipcentered, and rationality-centered capabilities. Conclusion/Implications: The policy-level of and educational ways to support the competencies of a director of a daycare center were discussed.

• 한국정보시스템학회지:정보시스템연구
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• 제31권1호
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• pp.271-287
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• 2022

Purpose This research aims to study the changes in recruitment needed for the growth and survival of companies in the rapidly changing industry. In particular, we built a real company's worklist accounting for the rapidly advancing data-driven digital transformation, and presented the capabilities and conditions required for work. Design/methodology/approach we selected 37 jobs based on NCS to develop the employment search requirements by analyzing the business characteristics and work capabilities of the industry and company. The business specification indicators were converted into a matrix through the TF-IDF process, and the NMF algorithm is used to extract the features of each document. Also, the cosine distance measurement method is utilized to determine the similarity of the job specification conditions. Findings Companies tended to prefer "IT competency," which is a specification related to computer use and certification, and "experience competency," which is a specification for experience and internship. In addition, 'foreign language competency' was additionally preferred depending on the job. This analysis and development of job requirements would not only help companies to find the talents but also be useful for the jobseekers to easily decide the priority of their specification activities.

• 항공우주시스템공학회지
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• 제16권5호
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• pp.43-48
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• 2022

최근 러시아가 우크라이나에 발사한 킨잘 미사일은 실전에서 최초로 사용된 극초음속 순항미사일 마하 5이상의 빠른 속력으로 비행한다. 빠른 속력은 강력한 파괴력으로 이어지며, 방어체계의 요격가능시간을 극단적으로 단축시킨다. 따라서 극초음속 미사일은 다층화된 방어체계가 구축된 미국조차도 요격에 어려움을 인정하고 있는 게임체인저가 될 수 있다. 미국, 러시아, 중국 및 북한 등 군사강국 들은 공격무기인 극초음속 미사일 개발에 집중하고 있으나 방어체계 능력은 부족한 실정이다. 이러한 관점에서 본 논문은 주요국의 극초음속 미사일 개발현황과 방어체계 능력을 식별하고 이를 기반으로 우리 군의 대응방안을 모색하고자 한다.

• 한국유기농업학회지
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• 제30권1호
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• pp.51-74
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• 2022

This study aimed to identify a difference in project implementation between villages that had executed rural village community activation support work successfully and those that had quit in the middle from the new endogenous development theory perspective. As a result, it was found that the main factors used for promoting to increase endogeneous development capabilities existed more in villages that executed project implementation support work successfully than in villages that had quit in the middle. Successful villages have a difference from the villages that had quit in the middle in that they have established a participatory decision making and cooperation system for stable operation even before their support work began, they have more assets for promoting community activity, residents' interaction and communal activity are becoming more active, and reciprocity-based mutual aid culture exists in many forms. In conclusion, seeing from the new endogenous development theory perspective, villages are developed under the interaction between internal and external factors, but the outcome of project implementation depends on whether village community holds its endogenous development capability to operate and develop such whole process of development. Therefore, village community activation policies need to be reinforced in the direction toward promoting to create the main factors for enhancing endogenous development capabilities.

• Journal of Information Processing Systems
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• 제18권2호
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• pp.188-196
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• 2022

Recently, neural architecture search (NAS) has received increasing attention as it can replace human experts in designing the architecture of neural networks for different tasks and has achieved remarkable results in many challenging tasks. In this study, a path-based computation neural architecture encoder (PCE) was proposed. Our PCE first encodes the computation of information on each path in a neural network, and then aggregates the encodings on all paths together through an attention mechanism, simulating the process of information computation along paths in a neural network and encoding the computation on the neural network instead of the structure of the graph, which is more consistent with the computational properties of neural networks. We performed an extensive comparison with eight encoding methods on two commonly used NAS search spaces (NAS-Bench-101 and NAS-Bench-201), which included a comparison of the predictive capabilities of performance predictors and search capabilities based on two search strategies (reinforcement learning-based and Bayesian optimization-based) when equipped with different encoders. Experimental evaluation shows that PCE is an efficient encoding method that effectively ranks and predicts neural architecture performance, thereby improving the search efficiency of neural architectures.

• Asia Marketing Journal
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• 제14권4호
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• pp.1-22
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• 2013

A growing gap between market needs and the capabilities of the enterprise prompts repositioning (Corstjens and Dolye 1989). This article examines the strategic repositioning of 'Korando Sports' undertaken by SYMC throughout the period from Jan. 2012 to Jun. 2012, to boost sales volume and market share by entering market of active-lifestyle consumers currently occupied by SUVs. SYMC's experience indicates that it is essential to close the gap between the market needs and the ability of the enterprise to make a shift to new consumer segment with a new positioning. The successful repositioning framework(Ryan et al. 2007) were employed in this paper. This framework is comprised of six elements: core strategic values, strategic flexibility/learning capabilities, customer awareness and sensitivity, external orientation, management commitment, and belief in the product and brand. The evaluation based on the successful framework also confirms that 'Korando Sports' case meets all the requirements of the successful strategic repositioning. This paper provides some of the managerial implications with aim of assisting executives in identifying strategic repositioning opportunities. Primarily, the 'Korando Sports' case affirms the repositioning as a viable strategy and indicates that repositioning is a feasible means for strategic change. Second, this case shows the influence of a target consumer and SYMC's repositioning to follow consumer preference for a particular attribute. Moreover, we can understand how a product formerly considered weak in attributes can enjoy benefits in other segments with the same attributes.

• 한국인공지능학회지
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• 제11권4호
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• pp.29-34
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• 2023

The flow from developing a machine learning model to deploying it in a production environment suffers challenges. Efficient and reliable deployment is critical for realizing the true value of machine learning models. Bridging this gap between development and publication has become a pivotal concern in the machine learning community. FastAPI, a modern and fast web framework for building APIs with Python, has gained substantial popularity for its speed, ease of use, and asynchronous capabilities. This paper focused on leveraging FastAPI for deploying machine learning models, addressing the potentials associated with integration, scalability, and performance in a production setting. In this work, we explored the seamless integration of machine learning models into FastAPI applications, enabling real-time predictions and showing a possibility of scaling up for a more diverse range of use cases. We discussed the intricacies of integrating popular machine learning frameworks with FastAPI, ensuring smooth interactions between data processing, model inference, and API responses. This study focused on elucidating the integration of machine learning models into production environments using FastAPI, exploring its capabilities, features, and best practices. We delved into the potential of FastAPI in providing a robust and efficient solution for deploying machine learning systems, handling real-time predictions, managing input/output data, and ensuring optimal performance and reliability.

• 유통과학연구
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• 제22권1호
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• pp.37-46
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• 2024

Purpose: This study aims to address the overlooked micro-level aspects within Smart Manufacturing (SM) research, rectifying the misalignment in manufacturing firms' estimation of their technological adoption capabilities. Drawing upon the Social-Technical Systems (STS) theory, this paper utilises innovation capability as a mediating variable, constructing a human-centric organizational model to bridge this research gap. Research design, data and methodology: This study collected data from 233 Chinese manufacturing firms via online questionnaires. Introducing innovation capability as a mediating variable, it investigates the impact of social-technical system dimensions (work design, social subsystems, and technical subsystems) on SM adoption willingness. Smart PLS 4.0 was employed for data analysis, and Structural Equation Modelling (SEM) validated the theoretical model's assumptions. Results: In direct relationships, social subsystems, technical subsystems, and work design positively influence firms' innovation capabilities, which, in turn, positively impact SM adoption. However, innovation capability does not mediate the relationship between technical subsystems and SM adoption. Conclusions: This study focuses on the internal micro-level of organisational employees, constructing a human-centric framework that emphasises the interaction between organisations and technology. The study fills empirical gaps in Smart Manufacturing adoption, providing organisations with a means to examine the integration of employees and the organisational social-technical system.

• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.249-257
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• 2024

This study analyzes the current status and prospects of Iran's air defense network, focusing on the Russian-made S-300 system, and derives implications for the development of South Korea's air defense network. Iran's air defense network exhibits strengths such as long-range detection and interception capabilities, multi-target processing, high-altitude interception, and electronic warfare response. However, it also reveals weaknesses, including lack of mobility, difficulty in detecting low-altitude targets, obsolescence, training level of operating personnel, and vulnerability to electronic warfare. Real-world cases confirm these weaknesses, making the system susceptible to enemy evasion tactics, swarm drone attacks, and electronic warfare. Drawing from Iran's case, South Korea should establish a multi-layered defense system, strengthen low-altitude air defense and electronic warfare capabilities, foster the domestic defense industry for technological self-reliance, and enhance international cooperation. By addressing these aspects, South Korea can establish a robust air defense network and firmly protect its national security. Future research should aim to secure and analyze materials from the Iranian perspective for a more objective evaluation of Iran's air defense network and continuously track Iran's efforts to improve its air defense network and the trend of strengthening drone forces to predict changes in the Middle East security situation.