• 한국인공지능학회지
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• 제11권2호
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• pp.29-38
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• 2023

The purpose of this study is to explore how citizens perceive application of the metaverse platforms for city marketing and investigate factors that affect overall attitude for citizen relationship management in the public sector. In particular, this study investigates the following: i) how factors including perceived city brand value, public service, emotional value, experience, personalization, economic value, social value, and cultural value on overall attitude and ii) how overall attitude affects intention to use of metaverse for the public sector and citizen satisfaction. This study conducted an online survey with the assistance of a well-known research firm. This study applied factor, ANOVA, and regression analysis to test hypotheses. The results found that effects of perceived city brand value, emotional value, information, economic value, social value, and cultural value on overall attitude toward metaverse application for the public sector showed significance. The results provide managerial and policy implications for the public sector on how to apply metaverse to provide public services and enhance engagement with citizens. The results also provide implications which aspects should be considered to enhance citizen relationship management and to build the better city brand value by applying metaverse.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.318-326
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• 2022

Marketing stress testing is a new method of identifying the company's strengths and weaknesses in a turbulent environment. Technically, this is a complex procedure, so it involves artificial intelligence and machine learning. The main problem is currently the development of methodological approaches to the development of the company's digital model, which will provide a framework for machine learning. The aim of the study was to identify and develop an author's approach to the parameterization of the company's business processes for machine learning-based marketing stress testing. This aim provided the company's activities to be considered as a set of elements (business processes, products) and factors that affect them (marketing environment). The article proposes an author's approach to the parameterization of the company's business processes for machine learning-based marketing stress testing. The proposed approach includes four main elements that are subject to parameterization: elements of the company's internal environment, factors of the marketing environment, the company' core competency and factors impacting the company. Matrices for evaluating the results of the work of expert groups to determine the degree of influence of the marketing environment factors were developed. It is proposed to distinguish between mega-level, macro-level, meso-level and micro-level factors depending on the degree of impact on the company. The methodological limitation of the study is that it involves the modelling method as the only one possible at this stage of the study. The implementation limitation is that the proposed approach can only be used if the company plans to use machine learning for marketing stress testing.

• 한국비블리아학회지
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• 제13권1호
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• pp.5-25
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• 2002

본 논문에서는 경쟁정보에 대한 문헌정보학적인 접근에 동기를 부여하고 이를 교육에 적극적으로 수용하는데 도움이 되고자 경쟁정보의 연구에 필요한 기초 정보원에 대한 소개와 함께 경쟁정보에 관련된 정보원의 현황을 살펴보고자 한다. 따라서 몇 가지 관련 이슈들인 1) 경쟁정보의 개념, 2) 경쟁정보과정, 3) 경쟁정보를 위한 인터넷 사용, 4) 경쟁정보를 제공하는 정보원을 다루고자 한다. 다양한 도구를 사용하여 경쟁정보에 대한 탐색결과, 아직은 외국과 비교하여 경쟁정보에 관한 국내 정보원들은 많지 않았다. 부록을 통해서 경쟁정보에 관한 국내외 정보원을 포함한 정보길잡이를 제공한다.

• 통상정보연구
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• 제19권1호
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• pp.127-152
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• 2017

본 연구의 목적은 비교문화 연구에 비교적 새로운 개념으로서 Earley and Ang(2003)이 도입한 문화 인텔리전스(cultural intelligence : CQ)를 적용하여 중소기업 수출담당자의 문화 인텔리전스가 해외시장정보 탐색과 해외시장정보 활용능력(마케팅적응, 관계적응) 간의 관계에 어떤 영향을 미치는지를 분석하는 것이다. 구조모형 분석방법으로서 SmartPLS가 사용되었고, 94개 수출중소기업을 대상으로 실증적으로 분석한 결과, 문화 인텔리전스는 해외시장정보탐색과 해외시장정보 활용능력에 부분적으로 조절적 역할을 하는 것으로 검증되었다. 문화 인텔리전스의 선행요인으로서는 수출담당자의 외국어유창성, 해외출장빈도, 다국어구사력, 해외출장용무, 문화선행학습, 해외체류경험 등이 유의한 요인으로 검증되었다. 연구결과에 의거하면, 해외시장정보를 습득-이해-가공하는 과정에 문화 인텔리전스의 역할이 큰 것으로 추론할 수 있다. 따라서 다차원적 성격의 문화 인텔리전스 강화를 위해 기업 및 수출지원기관의 차별화된 문화역량 교육 및 훈련프로그램 개발이 필요하다.

• International Journal of Advanced Culture Technology
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• 제5권2호
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• pp.74-81
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• 2017

Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA(Dropout Genetic Algorithm) which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제8권5호
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• pp.489-500
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• 2002

비즈니스 인텔리젼스에 대한 관심이 증대되면서 핵심 기술로써 데이타마이닝의 적용이 증대되고 있다. e-Business에서의 비즈니스 인텔리젼스를 지원하기 위해 다양한 마이닝 연산을 통합적으로 제공하는 마이닝 시스템은 데이타베이스 시스템과 유연하게 통합될 수 있어야 하며, 또한 다양한 비즈니스 응용에서의 마케팅 프로세스를 쉽게 구현할 수 있는 인터페이스를 제공하여야 한다. 이 연구에서는 e-Business영역에서의 BI를 지원하기 위해 데이타마이닝 기법을 통합적으로 제공하는 시스템으로써 EC-DaMiner 시스템을 설계, 구현하였다. 데이타마이닝 시스템은 기존의 데이타베이스 시스템과의 표준적인 인터페이스를 통하여 연동될 수 있도록 하였다. 아울러 비즈니스 어플리케이션들은 마이닝 질의어인 MQL을 통하여 규칙을 탐사하고 탐사된 규칙을 기존의 마케팅 데이타베이스에 모델화하여 반영함으로써 마케팅 전략의 구현을 용이하게 하였다.

• 한국인공지능학회지
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• 제5권1호
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• pp.10-17
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• 2017

This study is the first attempt to raise face recognition ability through machine learning algorithm and apply to CRM's information gathering, analysis and application. In other words, through face recognition of VIP customer in distribution field, we can proceed more prompt and subdivided customized services. The interest in machine learning, which is used to implement artificial intelligence, has increased, and it has become an age to automate it by using machine learning beyond the way that a person directly models an object recognition process. Among them, Deep Learning is evaluated as an advanced technology that shows amazing performance in various fields, and is applied to various fields of image recognition. Face recognition, which is widely used in real life, has been developed to recognize criminals' faces and catch criminals. In this study, two image analysis models, TF-SLIM and Inception-V3, which are likely to be used for criminal face recognition, were selected, analyzed, and implemented. As an evaluation criterion, the image recognition model was evaluated based on the accuracy of the face recognition program which is already being commercialized. In this experiment, it was evaluated that the recognition accuracy was good when the accuracy of the image classification was more than 90%. A limit of our study which is a way to raise face recognition is left as a further research subjects.

• 한국운동역학회지
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• 제32권3호
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• pp.69-79
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• 2022

Objective: The purpose of this study is to analyze trends related to sports and artificial intelligence (AI) to understand the trends and how they change according to time, and to establish methods to apply AI in sports. Both macro and micro perspectives related to sports utilization of AI were analyzed. Method: In this study, after analyzing and discussing various information related to the use of artificial intelligence in the sports through a search of academic journals, papers, books, and websites published recently at nationally and internationally, the application plan of artificial intelligence in the sports field was presented. Results: 1) Motion analysis technology using artificial intelligence is effective in sports where posture is important, and if it provides systematic feedback and training methods, it can help improve performance. 2) The introduction of a sports referee judgment system using artificial intelligence is expected to improve performance by restoring factual judgment and objective fairness in sports games. 3) Artificial intelligence will provide coaching staff and players with a variety of information to help improve performance through systematic coaching and improving feedback and enhanced training methods. 4) It is judged that artificial intelligence-related to sports ethics, sports ICT, sports marketing, sports prediction, etc. We think that based on the current AI research trends will have a positive impact on all sports-related areas, helping to revitalize sports. Conclusion: Motion analysis technology using artificial intelligence, sports referee judgment system, coaching using artificial intelligence, and artificial intelligence are judged to have a positive effect on all sports-related areas and help revitalize sports.

• 융합경영연구
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• 제8권4호
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• pp.27-35
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• 2020

Purpose - This study is aiming to understand the critical role of employees' organizational citizenship behavior in evaluation of employee service quality. This paper examined what emotional intelligence and empowerment affect to their organizational citizenship behavior and service quality. Research design - Data were collected by questionnaires through specialized hospital services. Survey was conducted on patients who have been treated at a spine specialized hospital. Results - Emotional intelligence and empowerment have direct effects on organizational citizenship. Service quality is a function of organizational citizenship. The results showed that emotional and motivated capabilities of individuals influenced organizational citizenship behavior. Managerially, this study contributes to the understanding of the role of organizational citizenship behavior in service sector. Conclusions - The relationship between service quality and organizational citizenship behavior and also examined the effect of combination of creative and voluntary behavioral attributes such as emotional intelligence and psychological empowerment have on voluntary organizational citizenship behavior. The results showed that in order to induce organizational citizenship behavior, emotional intelligence should be facilitated and empowerment enlarged.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.77-84
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• 2022

The study highlights the features and trends of digital marketing for international business. To achieve these goals, the authors used a systematic approach that allows a comprehensive approach to the object of study, as well as used general and specific methods of scientific knowledge on the application of digital marketing for international business. The dynamics of the number of users of social networks in the world is analyzed, which allowed us to conclude about the steady trend of increasing the number of users of the Internet and social networks, as well as the time spent by users on social networks. The study of the dynamics of the number of users of social networks provides increased efficiency in the use of digital marketing tools to enhance international business. The most effective digital marketing tools for international business, including artificial intelligence, conversational marketing, chatbots, personalization, video marketing, live shopping, social media stories, interactive content, omnic marketing, augmented reality and technology immersion, native advertising, green marketing and mobile commerce.