• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.339-356
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• 2022

This study focuses on Hokkaido University Research & Business Park in Japan as an example of establishing a regional innovation ecosystem on campus based on the outstanding research and university-industry collaboration capabilities of local universities in non-metropolitan areas with weak foundations for start-ups and corporate growth. Hokkaido University Research & Business Park established a mid-to long-term plan using the idle sites on campus, and was developed through a gradual development process since 2003. The promotion of university-industry collaboration was pursued through an industrial-based approach of establishing a bio-industry cluster considering the characterization of local universities and the foundation of local industries. It also provides various corporate support services through cooperative governance between local industry, universities, research institutes and the government. This strategy for creating Hokkaido University Research & Business Park provides important policy implications for various policies and projects that promote regional development by utilizing university campuses like the campus innovation park project.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.64-76
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• 2021

Culture technology (CT) becomes important in the recent environment where digital technology drives content-based innovations. However, technological trends of CT have not been systematically discussed. Especially, the trends of CT should be analyzed from the national perspective, because CT has grown with the help of government-driven innovation. Therefore, this paper aims to analyze CT trends focusing on national research projects. We collected data on CT from the national science and technology information service (NTIS) database, analyzed the keyword co-occurrence network, and identified the patterns of technological innovation using a clustering analysis. As a result, we found that CT has contributed to the digital content and cultural media, and has been actively developed with the help of machine learning technique. Especially, due to the rise of Covid-19, the non-face-to-face online content is rapidly increasing. This study provides important clues for understanding, analyzing CT trends.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.97-110
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• 2022

The purpose of this study is to analyze the level of public data convergence capabilities of administrative organizations and to explore important variables in data-based organizational capabilities. The theoretical background was summarized on public data and use activation, joint use, convergence, administrative organization, and convergence constraints. These contents were explained Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. The research model was set as the data-based organizational capabilities effect by a data-based administrative capability, public data operation capabilities, and public data operation constraints. It was also set whether there is a capabilities difference data-based on an organizational operation by the level of data convergence capabilities. This study analysis was conducted with hierarchical cluster analysis and multiple regression analysis. As the research result, First, hierarchical cluster analysis was classified into three groups. It was classified into a group that uses only public data and structured data, a group that uses public data on both structured and unstructured data, and a group that uses both public and private data. Second, the critical variables of data-based organizational operation capabilities were found in the data-based administrative planning and administrative technology, the supervisory organizations and technical systems by public data convergence, and the data sharing and market transaction constraints. Finally, the essential independent variables on data-based organizational competencies differ by group. This study contributed. As a theoretical implication, this research is updated on management information systems by explaining the Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. As a practical implication, the activity reinforcement of public data should be promoting the establishment of data standardization and search convenience and elimination of the lukewarm attitudes and Selfishness behavior for data sharing.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.1
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• pp.77-89
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• 2023

The purpose of this study is to empirically confirm what is an important variable of organizational change by intelligent technology acceptance and whether is a difference in important variables in the organization level of acceptance of intelligent technology. Recently, business models using intelligent technologies such as chat-bots, self-driving cars, credit-prevention fraud, face recognition, and health-care are emerging. External situation factors such as artificial intelligence, big data, COVID-19, and the ESG management are changing the direction of a company's management strategy. This research method established a structural equation model. As a result of the analysis, we found that the leadership, organizational culture, and organizational cooperation variables had a positive effect on human resource development variables. Human resource development found a positive effect on the performance of intelligent technology. In addition, we found the independent variables of leadership, organizational culture, and organizational cooperation had partial mediating effects on the performance of intelligent technology. Each group of levels of intelligent technology found performance differences. The organizational culture variables appeared as important variables in all groups. On the other hand, the leadership variable appeared as an important variable in the middle and lower groups of intelligent technology. The theoretical background of this study is that the business theory was updated through artificial intelligence and intelligent technology theory. As a practical implication, the organization adopting intelligent technology is necessary to prepare a systematic plan for organizational culture change.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.141-147
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• 2022

In a broad sense, the definition of digital health care is an industrial area that manages personal health and diseases through the convergence of the health care industry and ICT. In a narrow sense, various medical technologies are used to manage medical services to improve patient health. This paper aims to provide design guidelines so that artificial intelligence technology can be applied stably and efficiently to more diverse digital health care fields in the future by introducing use cases of artificial intelligence and machine learning techniques applied in the digital health care field. For this purpose, in this thesis, the medical field and the daily life field are divided and examined. The two regions have different data characteristics. By further subdividing the two areas, we looked at the use cases of artificial intelligence algorithms according to data characteristics and problem definitions and characteristics. Through this, we will increase our understanding of artificial intelligence technologies used in the digital health care field and examine the possibility of using various artificial intelligence technologies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.89-102
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• 2023

The purpose of this study is to examine what are the important variables for information security compliance and whether the information security investment by the industry is different. To comply with the information security policies, the organization must establish measures to prevent or resolve information security incidents. This research process consists of four stages, and the analysis method was conducted with the categorical regression analysis and the correspondence analysis. The first analysis analyzed the independent variables that affect security regulations compliance. The rest of the analysis was conducted by industry in the order of security compliance regulations, manpower investment, and budget investment. As a result of the first analysis, this had positive effects on an organization and personal information protection awareness, joint operation organization of information protection, manpower and budget investment, corporate size, and industry. The correspondence analysis was conducted from the second analysis to the fourth analysis and it analyzed the differences in information security investment by industry. The second analysis showed that the construction industry, science and technology industry, and finance industry have higher compliance with security regulations than other industries. The third analysis showed that the financial industry and the science and technology industry were higher than other industries. The last analysis showed that the financial industry was higher than other industries. The theoretical contribution of this study provided the basis for updating the information security theory. The practical contribution of this study requires government support to reduce information security deviations by industry.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.100-102
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• 2023

최근 오픈 사이언스 문화가 확산됨에 따라 오픈 데이터, 오픈 소스 소프트웨어와 같은 공개된 리소스들을 효율적으로 공유 및 활용하기 위한 방법이 주목을 받고 있다. 본 논문에서는 연구 소프트웨어의 재현성을 향상시키기 위한 국가연구데이터커먼즈(KRDC)를 소개하고 다중 KRDC 클러스터 간 워크플로우 연계 방안을 제안한다. 국가연구데이터커먼즈는 연구 소프트웨어와 분석 환경인 인프라를 결합하여 함께 제공하는 서비스로, 멀티 노드 쿠버네티스(kubernetes) 클러스터를 기반으로 동작한다. 따라서, 서로 다른 KRDC 프레임워크에 존재하는 리소스들을 하나의 워크플로우로 연계하는 것은 복잡한 사용자 인증/인가 문제, 보안 상의 문제를 고려하여야 한다. 본 논문에서는 프록시(proxy) 앱을 사용하는 워크플로우 연계 기능을 제안하고, 이를 지원하기 위한 통합 인증, 인가 체계와 연계 방안을 구현한다. 제안하는 방법을 두 개의 KRDC 프레임워크를 대상으로 적용하여 제안 워크플로우 연계 방법의 유효함을 확인한다. 본 논문에서 제안하는 워크플로우 연계 방법과 시나리오는 실제 멀티 클러스터 연계 방안을 구현한 사례로, KRDC 프레임워크 뿐만 아니라 다양한 쿠버네티스 기반 리소스 연계에 활용할 수 있는 우수한 결과로 사료된다.

• Journal of Advanced Technology Convergence
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• v.3 no.1
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• pp.43-49
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• 2024

The beauty industry has evolved into a highly competitive service sector, expanding alongside economic growth. Nail art, in particular, has witnessed a remarkable surge in popularity. To efficiently manage individual time, nail salons have adopted reservation systems. However, the issue of no-shows, where customers fail to keep their appointments, has emerged as a significant societal and economic concern. This study seeks to identify and address the root causes of no-shows in nail salons, providing essential data for the industry. A comprehensive survey was conducted, involving 476 customers from nail salons in the Daejeon and Chungcheong regions. Survey responses were analyzed using SPSS 24.0 software. Results revealed that a change of mind was the primary reason for no-shows. This underscores the importance of promoting reservation awareness among both businesses and consumers. To mitigate no-shows, suggestions included implementing non-refundable reservation deposits and imposing cancellation fees. Notably, the beauty industry currently lacks systematic regulations concerning no-shows, highlighting the necessity for future research aimed at developing reservation-related guidelines and standards.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.1
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• pp.19-30
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• 2023

An electric scooter(e-scooter), one popularized micro-mobility vehicle has shown rapidly increasing use in many cities. In South Korea, the use of e-scooters has greatly increased, as some companies have launched e-scooter sharing services in a few large cities, starting with Seoul in 2018. However, the use of e-scooters is still controversial because of issues such as parking and safety. Since the perception toward the means of transportation affects the mode choice, it is necessary to track the trends for electric scooters to make the use of e-scooters more active. Hence, this study aimed to analyze the trends related to e-scooters. For this purpose, we analyzed news articles related to e-scooters published from 2014 to 2020 using dynamic topic modeling to extract issues and sentiment analysis to investigate how the degree of positive and negative opinions in news articles had changed. As a result of topic modeling, it was possible to extract three different topics related to micro-mobility technologies, shared e-scooter services, and regulations for micro-mobility, and the proportion of the topic for regulations for micro-mobility increased as shared e-scooter services increased in recent years. In addition, the top positive words included quick, enjoyable, and easy, whereas the top negative words included threat, complaint, and ilegal, which implies that people satisfied with the convenience of e-scooter or e-scooter sharing services, but safety and parking issues should be addressed for micro-mobility services to become more active. In conclusion, this study was able to understand how issues and social trends related to e-scooters have changed, and to determine the issues that need to be addressed. Moreover, it is expected that the research framework using dynamic topic modeling and sentiment analysis will be helpful in determining social trends on various areas.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.135-151
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• 2022

This study was conducted on a servicism basis as a study to build the management wisdom of Korea as an asset of human society. The case of the founding and development of the Republic of Korea, which developed into one of the world's leading powers with unprecedented rapid growth despite the devastating three-year war immediately after its founding, is an important subject of study. This study conducted a macroscopic analysis. In the process of carrying out the founding activities, it was confirmed that the original idea inherent in Koreans was the Taegeuk idea of the National Flag. The founders of the Republic of Korea consciously or unconsciously adopted the Taegeuk ideology as the founding ideology. It can be said that the Taegeuk ideology has led to greater success because it is based on the service philosophy, which is the common truth of mankind. In this study, the process of preparing for the founding of the Republic of Korea, which was founded by accepting a new maritime civilization from a country with a long continental civilization, the process of national foundation, and the process of operating the country after its founding were analyzed as a whole. In particular, it discovered the excellent wisdom of the founders who appropriately utilized the strengths of continental and maritime civilizations in necessary situations, and confirmed that the dynamic operating model of development through fierce competition between the two opponents was a success factor for high-speed national development. It requires great wisdom for Koreans with diverse ideological backgrounds and unique personalities to unite to establish and run a nation. This is because fierce competition and cooperation must be carried out at the same time. The great wisdom of the founding of the Republic of Korea was able to be demonstrated because the Taegeuk ideology was acting as a common basic ideology for Koreans. Taegeuk ideology, the source of wisdom that Korea has developed under constant tension, can be capitalized as human wisdom, and additional case studies are needed.