• The Korean Journal of Archival Studies
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• no.48
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• pp.5-44
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• 2016

This paper examines the characteristics of the May 18th (5 18) Gwangju Democratization Movement archives to suggest a collection development strategy for the May 18th archives collection network. Individual public and civilian archives collecting the May 18th archives separately should form a cooperative collection network based on documentation strategy. Most of all, May 18th archives are human rights records and should be understood and collected as human rights records. International principles support the collection of the May 18th archives as human rights archives by prohibiting destruction of relevant temporary records and encouraging the victims' right to access to their records. As the May 18th archives were mostly produced by many multiple agencies, this multi-provenance and diversity of the records necessitate the building of an archives portal for the records registries and online search. To document the undocumented past and the victims, the collection network should focus on oral history project as a major part of its collection development strategy. Finally, the May 18th archives collection network should build a cooperative relations with the unwilling public agencies which have the archives holdings. Therefore, the collection development strategy should include advocacy and awareness activities for promoting cooperation from these public agencies and public archives, and the people in general.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.516-530
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• 2004

With the advent of knowledge-based society where knowledge generates power, the importance of information is growing than ever before. However, it is not easy to find necessary information in time. Collecting, processing and disseminating valuable information is getting more and more important. If those information include scientific and technical issues, it is more difficult to connect the sender and receiver, provider and consumer and also creates various factors and situation. This study aims to provide an application method of IMC(Integrated Marketing Communication) Strategy for efficient information services of science and technology which is one of KISTI's major functions. An analysis was proceeded in 3 categories with provider and receiver, and medium and message. The current problem in system was reviewed through each analysis and a feasible plan for the realization of IMC Strategy in future is proposed.

• International Commerce and Information Review
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• v.7 no.4
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• pp.245-268
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• 2005

The purpose of this paper is to acquire competitiveness faced with a global business so that Korea and China make them put ICT into practice through industrial policy of regional innovation clustering. In the Chapter 2, overall review of industrial spaces theory and the environment in Global-business is conducted. In the Chapter 3, current main economic issue and West Great Development of China are viewed. Chapter 4 proposes models and strategies for the target of regional innovation clustering and phasing in development. The results of this study is that both country should do more long-term cooperation and collecting intensive knowledge for the property of region and preparatory research of regional innovation clustering than do reckless investment.

• The Journal of Information Systems
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• v.15 no.2
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• pp.125-152
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• 2006

The purpose of this study is to explore the process of knowledge creation at the infusion stage in IT adoption. Because of the lack of the prior research on the infusion and the process of individual knowledge creation we employed Grounded Theory Method which is a qualitative method for building a theory inductively. Collecting and analyzing data from 13 knowledge workers including medical doctors, project managers, and bankers, a process model is developed through the serial process of open, axial and selective coding. We conceptualized the knlowledge creation at the infusion stage as a social process where knowledge is expressed through private and public justifications. This study also found that organizational politics, top management supports, and organization strategy are important factors facilitating the knowledge creation process.

• Journal of Multimedia Information System
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• v.8 no.1
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• pp.61-68
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• 2021

The paper is based on data collected from the Amazon website (specific in the Handmade's Category) to understand and analyze Vietnamese artisans' business context. Data analysis is also applied to determine the factors that bring success Handmade products and compare products of the same industry among competitors to find out potential products. By collecting data from Amazon and analyzing the data, we extracted useful information for online business developers. Besides, the list of potential products in Handmade sector can be referred to improve the business and compete with competitors. This paper also proposes solutions to help Vietnamese products become more appealing to international customers on the Amazon website.

• Journal of Information Technology Applications and Management
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• v.30 no.2
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• pp.19-30
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• 2023

This study aims to analyze service improvement and success factors of electric scooter sharing service companies by using text mining after collecting reviews of shared electric scooter service applications among various models of sharing economy. In this study, the factors of satisfaction and dissatisfaction of service users were identified using the term frequency inverse document frequency (TF-IDF) technique, and topics for each keyword were extracted using the Latent Dirichlet Allocation (LDA) Topic Modeling technique. According to the analysis results, the main topics were entertainment, safety, service area, application complaints, use complaints, convenience, and mobility. Using the analysis results of this study, employees and researchers of electric scooter sharing service companies will be able to contribute to the improvement and success of related services.

• Journal of the Korean Society of Food Culture
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• v.21 no.1
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• pp.51-56
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• 2006

This research suggests critical and specific decisive variables that affect general service quality of the products in family restaurants, considering features of services in which consumption and production happens simultaneous by collecting the raw data through point of sales. It also analyses the factors and helps to offer them practical strategies by providing managers of the restaurants and marketers with empirical viewpoints based on the research. Generally, family restaurants need their own physical environment and are required to encourage customers to revisit themselves by maintaining pleasant environment as well as, considering space for customers and for employees' working routes and effective maintenance of the facilities. The result of the study also tells that even if the unimportant factors did not affect much on the restaurants, management over these factors can be a differentiated strategy for competitive advantage over the other businesses.

• The Journal of Bigdata
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• v.4 no.2
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• pp.93-103
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• 2019

In this paper, we introduce a big data platform and a metadata management technique for fishery science R & D information. The big data platform collects and integrates various types of fisheries science R & D information and suggests how to build it in the form of a data lake. In addition to existing data collected and accumulated in the field of fisheries science, we also propose to build a big data platform that supports diverse analysis by collecting unstructured big data such as satellite image data, research reports, and research data. Next, by collecting and managing metadata during data extraction, preprocessing and storage, systematic management of fisheries science big data is possible. By establishing metadata in a standard form along with the construction of a big data platform, it is meaningful to suggest a systematic and continuous big data management method throughout the data lifecycle such as data collection, storage, utilization and distribution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.4062-4080
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• 2022

COVID-19, a highly infectious disease, has affected the globe tremendously since its outbreak during late 2019 in Wuhan, China. In order to respond to the pandemic, governments around the world introduced a variety of public health measures including contact-tracing, a method to identify individuals who may have come into contact with a confirmed COVID-19 patient, which usually leads to quarantine of certain individuals. Like many other governments, the South Korean health authorities adopted public health measures using latest data technologies. Key data technology-based quarantine measures include:(1) Electronic Entry Log; (2) Self-check App; and (3) COVID-19 Wristband, and heavily relied on individual's personal information for contact-tracing and self-isolation. In fact, during the early stages of the pandemic, South Korea's strategy proved to be highly effective in containing the spread of coronavirus while other countries suffered significantly from the surge of COVID-19 patients. However, while the South Korean COVID-19 policy was hailed as a success, it must be noted that the government achieved this by collecting and processing a wide range of personal information. In collecting and processing personal information, the data minimum principle - one of the widely recognized common data principles between different data protection laws - should be applied. Public health measures have no exceptions, and it is even more crucial when government activities are involved. In this study, we provide an analysis of how the governments around the world reacted to the COVID-19 pandemic and evaluate whether the South Korean government's digital quarantine measures ensured the protection of its citizen's right to privacy.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.9-16
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• 2023

Recently, there is an increasing demand to quickly identify changes in the field by applying Digital-twin for on-site management control and analyzing changes in real-time data transmitted. When technologies such as Digital-twin are applied, early problem response and quick response to situations are possible. However, in order to maximize the advantages of digital twin technology, a method of collecting and managing sensor data that collects field information at an appropriate period is required. need. In addition, it is necessary to consider how sensor information is transmitted to each management domain and how to identify and respond to abnormal situations so that it can be visualized for each management purpose. In this paper, we propose a method for collecting heterogeneous sensor information and related system configuration for on-site inspection management based on digital twin.