• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.51-60
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• 2023

This study aims to examine factors influencing the intention to continue using the metaverse, focusing on the impact of social norms. Specifically, direct and indirect effects of technical characteristics (perceive quality, interactivity, perceived playfulness), user characteristics (self-efficacy, personal innovativeness), and social influence factors (descriptive norm, injunctive norm, subjective norm) on continuous use intention were examined. The role of perceived ease of use and perceived usefulness as a mediator was also examined. An online survey was conducted with 165 college students attending universities in two large cities in South Korea who had used the metaverse. As a result, perceived playfulness, descriptive norm, and perceived usefulness directly influenced continuous use intention. Perceived playfulness, interactivity, and subjective norm influenced continuous use intention indirectly through perceived usefulness. This study theoretically extends the Technology Acceptance Model by specifying social influence in metaverse contexts. Practical implications are provided in terms of marketing strategy for the metaverse industry to continue to grow and develop.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.139-140
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• 2024

최근 중대재해처벌법 등 근로자의 안전 및 건강관리를 위한 인식이 확산되며, 기업들의 근로자 건강관리 솔루션으로 디지털헬스케어의 건강관리서비스 플랫폼이 주목받고 있다. 그러나 국내 디지털헬스케어 시장에서 건강관리서비스 플랫폼은 사업화 단계에서 어려움을 겪고 있다. 본 논문에서는 개인건강기록에 기반한 맞춤형 건강관리서비스 플랫폼의 성공요인의 우선순위를 도출하여 효과적인 운영을 위한 실질적 전략의 시사점을 제시하였다. AHP 방법론을 통한 플랫폼 공급자와 수요자 측면 전문가 집단 연구 결과 법/제도, 데이터 분석 및 플랫폼 설계, 시스템 보안성, 시스템 안정성순으로 나타났다, 본 연구의 우선순위 결과를 통해 건강관리서비스 플랫폼, 나아가 국내 디지털헬스케어의 활성화 및 경쟁력 제고에 기여할 수 있기를 기대한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.457-458
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• 2024

반도체 칩 부족에 따른 신차 생산 중단 및 중고차 가격 급상승, 항구 파업으로 수입 차량 인도 지연 등 예측 불가능한 사회 현상이 빈번히 발생하는 상황에서도 신속히 대응하며 운영해야하는 자동차 딜러쉽의 총괄 관리자 역할은 매우 중요하다. 본 연구는 캐나다 온타리오 주 내 현대자동차 딜러쉽을 대표하는 8명의 지점장들을 대상으로 설문조사를 실시하였다. AHP 기법을 통해 총괄 관리자에게 가장 중요한 핵심 역량을 파악하였고, 의사 결정, 직원과의 관계, 코칭 및 멘토링 등이 핵심 역량으로 도출되었다. 본 연구 결과는 향후 채용 과정에서 평가 지표로 활용될 수 있고, 현직 총괄 관리자들의 역량 향상을 위한 교육 시스템 구축 및 적용을 통해 딜러쉽의 성공적인 운영과 더 큰 성과 창출에도 도움이 될 수 있을 것으로 사료된다.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.110-118
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• 2024

This study examines factors influencing nonusers' resistance to the adoption of the metaverse, focusing on propagation mechanisms. It elucidates the role of innovation resistance within the metaverse adoption process. We applied the Innovation Resistance Model in the context of the metaverse and considers three major groups of factors influencing resistance to the metaverse: innovation characteristics (perceived usefulness, compatibility, perceived risk, and complexity), consumer characteristics (personal innovativeness), and propagation mechanisms (mass media, online media, and personal communication). An online survey of college students who do not use the metaverse revealed that perceived usefulness, compatibility, personal innovativeness, and online media were negative predictors of resistance to the metaverse. Conversely, perceived risk, mass media, and personal communication were positive predictors of resistance to the metaverse. Furthermore, innovation resistance was found to play a mediating role in the metaverse adoption process. Drawing upon the findings, we suggested marketing strategies to decrease resistance to the metaverse.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.33-44
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• 2024

Purpose - The purpose of this study is to empirically investigate the degree of performance inconsistency among the Environmental, Social and Governance ratings. Design/methodology/approach - This study performs regression analysis using the widely used ESG ratings published by the Korea Institute of Corporate Governance and Sustainability. Findings - The results show that firms often do not show consistent performance across the Environmental, Social and Governance aspects, with excellent performance on one aspect but mediocre or poor performance on another. The paper also finds some degree of firm-level persistence in such performance inconsistency, suggesting that the traits of the firm and the industry the firm belongs to might influence whether a firm shows inconsistent performance across the three aspects. Research implications or Originality - This paper highlights the need for researchers and practitioners to understand the underlying behavior of the individual E, S and G ratings, instead of taking them as given, in order to properly design their analyses.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.28 no.1
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• pp.33-58
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• 2024

This paper reviews basic concepts for Physics-Informed Neural Networks (PINN) applied to the initial value problems for ordinary differential equations. In particular, using only basic calculus, we derive the error estimates where the error functions (the differences between the true solution and the approximations expressed by neural networks) are dominated by training loss functions. Numerical experiments are conducted to validate our error estimates, visualizing the relationship between the error and the training loss for various first-order differential equations and a second-order linear equation.

• Archives of Obesity and Metabolism
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• v.3 no.1
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• pp.9-13
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• 2024

The prevalence of obesity has been increasing worldwide. Several dietary treatments have been suggested to control weight, and recent guidelines recommend individualizing the composition of macronutrients. Carbohydrates are the most important nutrients in meals, and carbohydrate restriction is a dietary strategy that promotes weight loss. A low-carbohydrate diet is effective for short-term weight loss and can help improve glycated hemoglobin, systolic blood pressure, diastolic blood pressure, and triglyceride levels; however, the long-term effects and safety of this diet remains doubtful. In the short term, there is a risk of gastrointestinal symptoms such as vomiting, diarrhea, constipation, and gastroesophageal reflux, and type 1 diabetes patients are at risk of severe hypoglycemia, while in the long term, it can lead to malnutrition and decreased exercise capacity. Thus, rather than limiting the intake of carbohydrates, it is important to limit the intake of refined grains, sugar, honey, syrup, and sweetened beverages while maintaining the planned carbohydrate intake rate and improving meal quality.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.807-809
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• 2024

대규모 언어 모델의 발전은 텍스트 생성 및 정보 제공 분야에서 큰 진전을 이루었으며 사용자와의 원활한 소통을 가능하게 했다. 그러나 언어 모델은 특화된 정보 제공에 한계를 가지며 때때로 부정확한 정보를 생성할 수 있다. RAG(Retrieval-Augmented Generation) 기법은 이러한 한계를 극복하기 위해 제안되었다. 본 연구에서는 RAG 의 답변품질과 효율성을 높이기 위해 외부 문서 정보와 단어 단위로 카테고리화된 인덱싱 데이터 세트를 함께 제공하여 보다 정확하고 신뢰성 있는 문서 생성을 가능하게 하는 접근법을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.434-435
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• 2024

가상자산은 온라인상에서의 투명성과 익명성을 통해 금융서비스 및 전자상거래 발전의 핵심으로 주목받아왔으나, 다크웹에서 사기(Scam) 및 랜섬웨어 등을 통한 자산 탈취의 대상이 되고 있다. 공격자는 익명성을 높이는 자금세탁 기법을 활용하여 탈취한 가상자산의 추적을 우회하며, 이로 인해 피해자에게 정상적인 피해보상이 어려운 실정이다. 본 연구에서는 가상자산 사기 주소에 대한 탈취를 목적으로 한 공격자의 사기 유형을 파악하고, 피해를 최소화하기 위해 대표적인 가상자산 피해 신고 사이트 Chainabuse의 사기 주소에 대한 Top Scammer 주소 수집 및 사기 동향 분석이 가능한 시스템을 제안한다.

• The Journal of Bigdata
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• v.8 no.2
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• pp.133-140
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• 2023

This study was conducted with the aim of improving the food image classification model of a health care application targeting Koreans in their twenties. 546,194 images were collected from the Public Data Portal and AI Hub, and 175 food classes were constructed. The ResNet artificial intelligence model was trained and validated. Additionally, we deeply investigated the reasons for the relatively lower recognition accuracy of the actual food images, and we attempted various methods to optimize the model's performance as a solution.