• Title/Summary/Keyword: 상황인지 서비스

Search Result 4,517, Processing Time 0.029 seconds

Financial Condition and the Determinants of Credit Ratings in Korean Small and Medium-Sized Business (중소상공인의 금융현황과 신용등급의 결정요인 관련 연구)

  • Kang, Hyoung-Goo;Binh, Ki Beom;Lee, Hong-Kyun;Koo, Bonha
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.15 no.6
    • /
    • pp.135-154
    • /
    • 2020
  • This paper analyzes the 5,521 samples of the small and medium-sized businesses(SMBs) obtained from the Korea Credit Guarantee Fund. From January 2014 to September 2019, 85% of the SMBs have 5 or fewer full-time employees. The proportion of SMBs is overwhelmed by the elderly men, and most founders are the CEO. Also, about 87% of the workplace types are rented, while 64% of the CEO's residence types are owner-occupation. 47% of the financial grade score is less than 10 points out of 100 and 80% of SMBs have less than 200 million won of the loan guarantee. In particular, the total guarantee loan amount or the days of net guarantee have significantly positive relations with the working period of the CEO in the same industry, the number of employees, the operation period of SMBs, and the corporate business type. In the case of the financial grading score which has the highest weight in overall credit rating gets higher with the higher number of employees, the longer the operation period, and the corporate business type. However, the quantified non-financial grading score has no significant relationship with other explanatory variables, except for the corporate business type. This implies that a non-financial grade score is measured by other determinants that are not observed by the Korea credit guarantee fund. The pure non-financial grade score has positive relations with the working period of the CEO. Overall, this paper would help Korean SMBs upgrade their credit ratings and expand the money supply when there is no standardized credit rating model or no publicly available evaluation criteria for SMBs. We expect this paper provides important insights for further research and policy-makers for SMBs. In particular, to address the financial needs of thin-filers such as SMBs, technology-based financial services (TechFin) would use alternative data to evaluate the financial capabilities of thin-filers and to develop new financial services.

A Study on the Application of Other Effective Area-based Conservation Measures(OECMs) for Natural Heritage - Focusing on the Old Big Trees of Natural Monument and Dangsan Ritual - (자연유산의 '기타 효과적인 지역기반 보전수단(OECMs)' 등재기준 적용 연구 - 천연기념물 노거수와 당산제를 중심으로 -)

  • Jun, Da-Seul;Shin, Hyun-Sil
    • Journal of the Korean Institute of Traditional Landscape Architecture
    • /
    • v.40 no.3
    • /
    • pp.1-9
    • /
    • 2022
  • This study compared and reviewed the recognition determinants by applying the OECMs criteria, focusing on old big trees, plant of natural monument that are natural heritage under the national heritage system of the Cultural Heritage Administration, and the results are as follows. First, among the protected areas designated and managed by government agencies according to each protection purpose, it is necessary to actively introduce new conservation measures, OECMs, to fulfill the Biodiversity strategy for 2030 while the land area is already saturated. Second, the OECMs are geographically defined areas(CBD, 2018), not currently recognized as a protected areas, governed and managed in a way that achieves positived sustained and effective contribution to in situ conservation of biodiversity. Since the selection of term, the scope of application criteria, and the context of interpretation are inevitably different, it is necessary to separately legislate and establish related laws of the OECMs suitable for each country's situation. Third, as a result of reviewing the OECMs criteria for plant of natural monument, the final 58 potential resources were recognized. Important elements among the OECMs criteria are that buffer zones should be spaced apart from designated zones to secure a certain area, and that economic activities through commercial production should not occur and meet biodiversity standards. Among the potential candidates, 23 areas were analyzed to be geographically isolated and independent, such as Forest of Oriental Arborvitae in Do-dong, Daegu, and forest types such as Carstor Aralia of Gungchon-ri, Samcheok and Forest of Common Camellias in Maryang-ri, Seocheon. As a result of reviewing the application of OECMs criteria for plant of natural monument, it was confirmed that the functions as a traditional uses were specialized among the values of biodiversity, and ecosystem services and cultural and spiritual values were inherited through Korea's unique culture of old big trees and Dangsan ritual. In terms of biodiversity criteria, it can be used as an important factor in connecting human and natural ecosystem networks without the discovery of new species.

The Current Status of Arrangement and the Direction of Rearrangement of the Archives Relating to the Korean Provisional Assembly (임시의정원 관련 기록물의 정리 현황과 재정리 방향)

  • Park, Dowon
    • The Korean Journal of Archival Studies
    • /
    • no.73
    • /
    • pp.161-188
    • /
    • 2022
  • This article explores the current status of arrangement of the archives relating to the Korean Provisional Assembly held by the National Assembly Library and suggests the direction of rearrangement focusing on the principles of arrangement. The Korean Provisional Assembly had records management regulations, and records were produced and stored according to them. However, the archives lost their original order at some point. The National Assembly Library collected and managed them in the 1960s. The National Assembly Library did not fully consider the records management system at the time of record production and various situations that may occur during the storage process while organizing the collected archives. At that time, the National Assembly Library did not follow the records management regulations of the Korean Provisional Assembly. In addition, the hierarchical structure of archives was not applied during the arrangement, and the National Assembly Library arranged without considering the Principal of Provenance and the Principle of original order. As a result, it became difficult to understand the structure and context of the archives. In order to solve these problems and come up with a plan for rearranging the archives, first of all, it is necessary to examine the characteristics of the records related to the Korean Provisional Assembly in accordance with the principles of record arrangement. First, according to the Principal of Provenance, it is necessary to identify the organization, function, and records and classify the records item, records file, creators, dates of creation, types of records etc. Second, by applying the Principle of original order, it is necessary to understand what the order of records was at the time when records were created and preserved. Third, it is necessary to examine whether the records are completely created and valid. It is impossible to completely arrange the archives related to the Korean Provisional Assembly as it was in the past. However, by examining the current state of arrangement and the direction of rearrangement, it will be possible to newly understand the contents, structure, and context of the archives and create a basis for effective reference service.

A Study on Human-Robot Interaction Trends Using BERTopic (BERTopic을 활용한 인간-로봇 상호작용 동향 연구)

  • Jeonghun Kim;Kee-Young Kwahk
    • Journal of Intelligence and Information Systems
    • /
    • v.29 no.3
    • /
    • pp.185-209
    • /
    • 2023
  • With the advent of the 4th industrial revolution, various technologies have received much attention. Technologies related to the 4th industry include the Internet of Things (IoT), big data, artificial intelligence, virtual reality (VR), 3D printers, and robotics, and these technologies are often converged. In particular, the robotics field is combined with technologies such as big data, artificial intelligence, VR, and digital twins. Accordingly, much research using robotics is being conducted, which is applied to distribution, airports, hotels, restaurants, and transportation fields. In the given situation, research on human-robot interaction is attracting attention, but it has not yet reached the level of user satisfaction. However, research on robots capable of perfect communication is steadily being conducted, and it is expected that it will be able to replace human emotional labor. Therefore, it is necessary to discuss whether the current human-robot interaction technology can be applied to business. To this end, this study first examines the trend of human-robot interaction technology. Second, we compare LDA (Latent Dirichlet Allocation) topic modeling and BERTopic topic modeling methods. As a result, we found that the concept of human-robot interaction and basic interaction was discussed in the studies from 1992 to 2002. From 2003 to 2012, many studies on social expression were conducted, and studies related to judgment such as face detection and recognition were conducted. In the studies from 2013 to 2022, service topics such as elderly nursing, education, and autism treatment appeared, and research on social expression continued. However, it seems that it has not yet reached the level that can be applied to business. As a result of comparing LDA (Latent Dirichlet Allocation) topic modeling and the BERTopic topic modeling method, it was confirmed that BERTopic is a superior method to LDA.

Analyzing Topic Trends and the Relationship between Changes in Public Opinion and Stock Price based on Sentiment of Discourse in Different Industry Fields using Comments of Naver News (네이버 뉴스 댓글을 이용한 산업 분야별 담론의 감성에 기반한 주제 트렌드 및 여론의 변화와 주가 흐름의 연관성 분석)

  • Oh, Chanhee;Kim, Kyuli;Zhu, Yongjun
    • Journal of the Korean Society for information Management
    • /
    • v.39 no.1
    • /
    • pp.257-280
    • /
    • 2022
  • In this study, we analyzed comments on news articles of representative companies of the three industries (i.e., semiconductor, secondary battery, and bio industries) that had been listed as national strategic technology projects of South Korea to identify public opinions towards them. In addition, we analyzed the relationship between changes in public opinion and stock price. 'Samsung Electronics' and 'SK Hynix' in the semiconductor industry, 'Samsung SDI' and 'LG Chem' in the secondary battery industry, and 'Samsung Biologics' and 'Celltrion' in the bio-industry were selected as the representative companies and 47,452 comments of news articles about the companies that had been published from January 1, 2020, to December 31, 2020, were collected from Naver News. The comments were grouped into positive, neutral, and negative emotions, and the dynamic topics of comments over time in each group were analyzed to identify the trends of public opinion in each industry. As a result, in the case of the semiconductor industry, investment, COVID-19 related issues, trust in large companies such as Samsung Electronics, and mention of the damage caused by changes in government policy were the topics. In the case of secondary battery industries, references to investment, battery, and corporate issues were the topics. In the case of bio-industries, references to investment, COVID-19 related issues, and corporate issues were the topics. Next, to understand whether the sentiment of the comments is related to the actual stock price, for each company, the changes in the stock price and the sentiment values of the comments were compared and analyzed using visual analytics. As a result, we found a clear relationship between the changes in the sentiment value of public opinion and the stock price through the similar patterns shown in the change graphs. This study analyzed comments on news articles that are highly related to stock price, identified changes in public opinion trends in the COVID-19 era, and provided objective feedback to government agencies' policymaking.

Export Prediction Using Separated Learning Method and Recommendation of Potential Export Countries (분리학습 모델을 이용한 수출액 예측 및 수출 유망국가 추천)

  • Jang, Yeongjin;Won, Jongkwan;Lee, Chaerok
    • Journal of Intelligence and Information Systems
    • /
    • v.28 no.1
    • /
    • pp.69-88
    • /
    • 2022
  • One of the characteristics of South Korea's economic structure is that it is highly dependent on exports. Thus, many businesses are closely related to the global economy and diplomatic situation. In addition, small and medium-sized enterprises(SMEs) specialized in exporting are struggling due to the spread of COVID-19. Therefore, this study aimed to develop a model to forecast exports for next year to support SMEs' export strategy and decision making. Also, this study proposed a strategy to recommend promising export countries of each item based on the forecasting model. We analyzed important variables used in previous studies such as country-specific, item-specific, and macro-economic variables and collected those variables to train our prediction model. Next, through the exploratory data analysis(EDA) it was found that exports, which is a target variable, have a highly skewed distribution. To deal with this issue and improve predictive performance, we suggest a separated learning method. In a separated learning method, the whole dataset is divided into homogeneous subgroups and a prediction algorithm is applied to each group. Thus, characteristics of each group can be more precisely trained using different input variables and algorithms. In this study, we divided the dataset into five subgroups based on the exports to decrease skewness of the target variable. After the separation, we found that each group has different characteristics in countries and goods. For example, In Group 1, most of the exporting countries are developing countries and the majority of exporting goods are low value products such as glass and prints. On the other hand, major exporting countries of South Korea such as China, USA, and Vietnam are included in Group 4 and Group 5 and most exporting goods in these groups are high value products. Then we used LightGBM(LGBM) and Exponential Moving Average(EMA) for prediction. Considering the characteristics of each group, models were built using LGBM for Group 1 to 4 and EMA for Group 5. To evaluate the performance of the model, we compare different model structures and algorithms. As a result, it was found that the separated learning model had best performance compared to other models. After the model was built, we also provided variable importance of each group using SHAP-value to add explainability of our model. Based on the prediction model, we proposed a second-stage recommendation strategy for potential export countries. In the first phase, BCG matrix was used to find Star and Question Mark markets that are expected to grow rapidly. In the second phase, we calculated scores for each country and recommendations were made according to ranking. Using this recommendation framework, potential export countries were selected and information about those countries for each item was presented. There are several implications of this study. First of all, most of the preceding studies have conducted research on the specific situation or country. However, this study use various variables and develops a machine learning model for a wide range of countries and items. Second, as to our knowledge, it is the first attempt to adopt a separated learning method for exports prediction. By separating the dataset into 5 homogeneous subgroups, we could enhance the predictive performance of the model. Also, more detailed explanation of models by group is provided using SHAP values. Lastly, this study has several practical implications. There are some platforms which serve trade information including KOTRA, but most of them are based on past data. Therefore, it is not easy for companies to predict future trends. By utilizing the model and recommendation strategy in this research, trade related services in each platform can be improved so that companies including SMEs can fully utilize the service when making strategies and decisions for exports.

Beyond Platforms to Ecosystems: Research on the Metaverse Industry Ecosystem Utilizing Information Ecology Theory (플랫폼을 넘어 생태계로: Information Ecology Theory를 활용한 메타버스 산업 생태계연구 )

  • Seokyoung Shin;Jaiyeol Son
    • Information Systems Review
    • /
    • v.25 no.4
    • /
    • pp.131-159
    • /
    • 2023
  • Recently, amidst the backdrop of the COVID-19 pandemic shifting towards an endemic phase, there has been a rise in discussions and debates about the future of the metaverse. Simultaneously, major metaverse platforms like Roblox have been launching services integrated with generative AI, and Apple's mixed reality hardware, Vision Pro, has been announced, creating new expectations for the metaverse. In this situation where the outlook for the metaverse is divided, it is crucial to diagnose the metaverse from an ecosystem perspective, examine its key ecological features, driving forces for development, and future possibilities for advancement. This study utilized Wang's (2021) Information Ecology Theory (IET) framework, which is representative of ecosystem research in the field of Information Systems (IS), to derive the Metaverse Industrial Ecosystem (MIE). The analysis revealed that the MIE consists of four main domains: Tech Landscape, Category Ecosystem, Metaverse Platform, and Product/Service Ecosystem. It was found that the MIE exhibits characteristics such as digital connectivity, the integration of real and virtual worlds, value creation capabilities, and value sharing (Web 3.0). Furthermore, the interactions among the domains within the MIE and the four characteristics of the ecosystem were identified as driving forces for the development of the MIE at an ecosystem level. Additionally, the development of the MIE at an ecosystem level was categorized into three distinct stages: Narrow Ecosystem, Expanded Ecosystem, and Everywhere Ecosystem. It is anticipated that future advancements in related technologies and industries, such as robotics, AI, and 6G, will promote the transition from the current Expanded Ecosystem level of the MIE to an Everywhere Ecosystem level, where the connection between the real and virtual worlds is pervasive. This study provides several implications. Firstly, it offers a foundational theory and analytical framework for ecosystem research, addressing a gap in previous metaverse studies. It also presents various research topics within the metaverse domain. Additionally, it establishes an academic foundation that integrates concept definition research and impact studies, which are key areas in metaverse research. Lastly, referring to the developmental stages and conditions proposed in this study, businesses and governments can explore future metaverse markets and related technologies. They can also consider diverse metaverse business strategies. These implications are expected to guide the exploration of the emerging metaverse market and facilitate the evaluation of various metaverse business strategies.

The Origin of Records and Archives in the United States and the Formation of Archival System: Focusing on the Period from the Early 17th Century to the Mid 20th (미국의 기록(records) 및 아카이브즈(archives)의 역사적 기원과 관리·보존의 역사 17세기 초부터 20세기 중반까지를 중심으로)

  • Lee, Seon Ok
    • The Korean Journal of Archival Studies
    • /
    • no.80
    • /
    • pp.43-88
    • /
    • 2024
  • The National Archives and Records Administration (NARA) is a relatively quiet latecomer to the traditional archives of the Western world. Although the United States lacks a long history of organized public records·archives management, it has developed a modern system optimized for the American historical context. This system focuses on the systematic management and preservation of the vast amount of modern records produced and collected during the tumultuous 20th century. As a result, NARA has established a modern archival system that is optimized for the American historical context. The U.S. public records·archives management system is based on the principle that records·archives are the property of the American people and belong to the public. This concept originated during the British colonial era when records were used to safeguard the rights of the colonies as self-governing citizens. For Americans, records and archives have long been a symbol of the nation's identity, serving as a means of protecting individual freedoms, rights, and democracy throughout the country's history. It is natural, therefore, that American life and history should be documented, and that the recorded past should be managed and preserved for the nation's present and future. The public records·archives management system in the United States is the result of a convergence of theories, practices, lessons learned, and ideas that have been shaped by the country's history, philosophies, and values about records, and its unique experience with records management. This paper traces the origins of records and archives in the United States in a historical context to understand the organic relationship between American life and records. It examines the process of forming a modern public records management system that is both uniquely American and universal to the American context without falling into the two forms of traditions that reflect the uniqueness of American history.

Vitamin D analysis in the Korean total diet study and UV/sun light irradiated mushrooms (한국형 총식이조사 및 UV/태양광 조사 버섯에서의 비타민 D 분석)

  • Min-Jeong Seo;In-Hwa Roh;Jee-Yeon Lee;Sung-Ok Kwon;Cho-Il Kim;Gae-Ho Lee
    • Food Science and Preservation
    • /
    • v.30 no.1
    • /
    • pp.109-121
    • /
    • 2023
  • This study was conducted to evaluate vitamin D intake of Koreans in a total diet study (TDS) and to determine the effect of irradiation on vitamin D synthesis in mushrooms. For analysis, sample were saponified and extracted with hexane, and vitamin D was quantified by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Based on the validation results, the recovery of the National Institute of Standards and Technology (NIST) standard reference sample (SRM) 1849a was 96.7% and the z-score of -1.6 was obtained by the Food Analysis Performance Assessment Scheme (FAPAS) proficiency test (PT) 21115. Vitamin D2 was not detected in any samples, and the highest level of vitamin D3 was detected in mackerel and anchovies ranging from 24.2 to 120.2 ㎍/kg. The mean daily intake of vitamin D was 0.99 ㎍/day, as estimated from the vitamin D contents of the analyzed foods and their corresponding intake. The adequate intake (AI) of vitamin D based on the Dietary reference intakes for Koreans provided by the Ministry of Health and Welfare is 5-15 ㎍/day for Koreans aged 6 to 75 years. Compared with this AI, vitamin D intake of Koreans estimated in this study was inadequate. For that, the increased vitamin D content in ultraviolet (UV)/sun light irradiated mushrooms warrants further research to increase vitamin D intake of Koreans through diet.

Archival Science and Constitutional Point of View (헌법적 관점의 기록학)

  • Lee, Youngnam
    • The Korean Journal of Archival Studies
    • /
    • no.79
    • /
    • pp.121-168
    • /
    • 2024
  • Record & archives management is at the heart of archival science. We must be faithful to record & archives management. However, isn't there a paradox that arises the more faithful we are to record & archives management? The paradox is that 'being a responsible manager and efficiently managing records' is rather reduces the interest in the social existence of humans who create and use such records. Why do humans produce and use records? It may be because human beings have been living with the concept of records. The concept is 'the same as the design of thoughts'. There is no need to doubt this direction because as record & archives management develops, more valuable records are preserved more systematically, and they are been served with wider scope and appropriateness. However, if we observe this situation from a human point of view rather than record & archives management, we find that humans appearing in record & archives management are limited to the object of using records. If humans are perceived differently based on the hypothesis of reviewing from the ground up, we can encounter a unique context about the relationship between humans and records or between records and humans. If it reaches the norm that human beings have dignity that cannot be transferred to anyone, have the right to pursue happiness, and must live by enjoying freedom, equality, and social basic rights, in short, if human beings are recognized from a constitutional point of view, we can newly recognize the social role and direction of records. The constitution and international human rights norms document basic human rights as the final norm and clarify that it is the duty of the state to guarantee and practice them. The social role of records from a constitutional point of view is the practice of records that proliferate basic human rights. The practice of archiving, which multiplies basic human rights, may also be a civic consciousness required of experts, but on the other hand, it can be a professional way for archival studies. If record management is a two-lane round trip, it can be said that the interaction between record management and record practice, which multiplies basic human rights, is a pioneering four-lane round trip. This article examines the practice of archiving, which has been developed in and out of record & archives management, by clearly grasping the constitutional perspective from the perspective of archival studies, and examines the social role of archival studies in this context. The social role of archival studies is to provide new linguistic rules for archiving.