• Title/Summary/Keyword: Private industrial enterprises

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A Study on Quantitative Evaluation Method for STT Engine Accuracy based on Korean Characteristics (한국어 특성 기반의 STT 엔진 정확도를 위한 정량적 평가방법 연구)

  • Min, So-Yeon;Lee, Kwang-Hyong;Lee, Dong-Seon;Ryu, Dong-Yeop
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.699-707
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    • 2020
  • With the development of deep learning technology, voice processing-related technology is applied to various areas, such as STT (Speech To Text), TTS (Text To Speech), ChatBOT, and intelligent personal assistant. In particular, the STT is a voice-based, relevant service that changes human languages to text, so it can be applied to various IT related services. Recently, many places, such as general private enterprises and public institutions, are attempting to introduce the relevant technology. On the other hand, in contrast to the general IT solution that can be evaluated quantitatively, the standard and methods of evaluating the accuracy of the STT engine are ambiguous, and they do not consider the characteristics of the Korean language. Therefore, it is difficult to apply the quantitative evaluation standard. This study aims to provide a guide to an evaluation of the STT engine conversion performance based on the characteristics of the Korean language, so that engine manufacturers can perform the STT conversion based on the characteristics of the Korean language, while the market could perform a more accurate evaluation. In the experiment, a 35% more accurate evaluation could be performed compared to the existing methods.

A Study on the Establishment Strategy of Specialized Institution for Commercializing Railway Technology (철도기술사업화 전문기관 설립방안에 관한 연구)

  • Kim, Jin-Soo;Kwon, Sok Chang;Choi, Hyo-Sun;Jeon, Joong Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.3
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    • pp.1531-1540
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    • 2014
  • Since railway industry is becoming important globally, Korea government and private enterprises invest huge amount of R&D expenditure to develop railway technologies. However, ratio of successful commercialization of technology is very limited. establishment strategy of specialized institution for commercializing railway technologies is very important research issue. For example, France and Japan support railway commercialization through the specialized organization in leading the global railway industry. This study propose the critical success factors of the establishment of railway commercialization and suggest relative importance of CSF's through the hierarchical analysis. As a result, the financial resource plan(0.505) and the commercialization strategy(0.193) are important factors at the first level, and the government funding plan(0.220) and the legal/institutional support(0.150) are important factors for the commercialization organization at the second level.

An empirical study on the relationship of personal optimistic bias and information security awareness and behavior in the activity of information ethics (정보윤리 활동에서 개인의 낙관적 편견과 정보보안 인식 및 정보보안 행위와의 관련성에 관한 실증 연구)

  • Choi, Jong-Geun;Che, Myung-Shin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.538-547
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    • 2016
  • With respect to the factors affecting information security awareness and behavior, the study of the relevance of the concept of optimistic bias is actively used in psychology. In other words, this study examines whether the optimistic bias of individuals affects information security in the field. In this sense, this study attempted to demonstrate the relevance of optimistic bias in information security behavior and awareness. A questionnaire survey was conducted targeting 111 people engaged in domestic private enterprises. The survey results showed that this personalized optimistic bias exists because of empirical factors related to personal security. Optimistic bias affects the security awareness information. The greater the optimistic bias, the lower the awareness and recognition of information security. In other words, optimistic bias affects information security awareness. Reducing the effects of optimistic bias is expected to reduce information security incidents, such as information leakages. However, the variety of information related ethical activities of a company did not have any effect on the information security awareness. Most previous studies have only examined the effect optimistic bias in the field of health. Therefore, this study fills an important gap in research in IT.

The Moderating Effects of Resilience and Social Support on the Relation between Job-seeking Stress and Depression/Psychological Well-being (취업스트레스가 우울과 심리적 안녕감에 미치는 영향과 자아탄력성 및 사회적 지지의 조절 효과)

  • Eom, Na Yeon;Kim, Eunha
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.619-630
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    • 2016
  • As the level of job-seeking stress increases among college students, increasing attention is being paid to the variables that would decrease its negative effects through brief intervention programs or counseling. As such, in the present study, we examined the effects of job-seeking stress on depression and psychological well-being, and whether resilience (internal variable) and social support (external variable) would moderate such effects. In other words, we tested whether the negative effects of job-seeking stress on depression and psychological well-being would be decreased by resilience and social support. A total of 264 fourth-year college students and unemployed 4-year college graduates, who were looking for jobs in private and public enterprises participated in this study. The results indicated that resilience moderated the relation between job-seeking stress and depression, while social support did not. In contrast, resilience did not moderate the relation between job-seeking stress and psychological well-being, whereas social support did. These results suggest that as resilience increases, the effect of job-seeking stress on depression decreases, whereas as social support increases, the effect of job-seeking stress on psychological well-being decreases.

Study on the Informatization Policy Evaluations and Directions for Small and Medium Enterprises(SMEs) (중소기업 정보화 지원정책 평가 및 지원방향 연구)

  • Lee, Hoon-Bae;Lee, Ook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.655-665
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    • 2016
  • Considering the importance of SMEs, which account for 88% of employment and 99% of domestic businesses, the government has implemented informatization policy support. On the other hand, due to budget limitations and the ability of the private market, it is time to transition to the new policy of the informatization support paradigm. This study evaluated the informatization policy support of SMBA by a comparison with the stage model to determine the future direction. The informatization development model is a step model divided into five levels ranging from the informatization initiation level to the strategic innovation level. The informatization policy of SMBA was focused on the development of automation and in-house integration, and business-to-business integration and strategic innovation step was found to be lacking. Based on these results, there are three implications for the informatization policy of the next SMEs. First, there is a need for a movement of the center of the support in the informatization step to the strategic innovative step. Second, by establishing an informatization road map, it is necessary to develop their own informatization capabilities according to the road map. Finally, it is important to improve the effectiveness of informatization support based on performance rather than policy providers.

A Study on Determining the Priority of Introducing Smart Ports in Korea (국내 스마트 항만 도입 우선순위 도출 연구)

  • Ryu, Won-Hyeong;Nam, Hyung-Sik
    • Journal of Korea Port Economic Association
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    • v.40 no.1
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    • pp.31-59
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    • 2024
  • In June 2016, the term "Fourth Industrial Revolution" was first used at the World Economic Forum in Davos, Switzerland, and it gained worldwide attention. Consequently, the importance of smart ports has increased as the shipping industry has been incorporating various Fourth Industrial Revolution technologies. Currently, major countries around the world are working to achieve digital transformation in the maritime and port industry by establishing comprehensive smart ports. However, the smartification of domestic ports in South Korea is currently limited to a few areas such as Busan, Incheon, and Gwangyang, focusing on port automation. In this context, this study performed keyword analysis to identify key components of smart ports and conducted Analytic Hierarchy Process (AHP) analysis among relevant stakeholders to determine the priorities for the Introduction of smart ports in South Korea. The analysis revealed that universities prioritized automation, intelligenceization, informatization and environmentalization in that order. Research institutes prioritized informatization, intelligenceization, automation and environmentalization. Government agencies prioritized informatization, automation, intelligenceization and environmentalization, while private sector enterprises prioritized automation, intelligenceization, informatization, and environmentalization.

Proposal of Localization Policy Based on the Status of Chinese's Research Facilities and Equipment Construction in Korean Basic and Analytical Science Field (국내 기초·분석과학 분야 내 중국산 연구시설·장비 구축 현황에 따른 국산화 정책 제언)

  • Kim, Chang-Yong;Chung, Taewon;Kong, Jaehyun;Park, Chan-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.6
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    • pp.460-471
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    • 2019
  • The aim of this study was to examine the scale and market share of Chinese's research facility & equipment in the domestic research equipment market of basic and analytical science field for analyzing the difference of the number and amount of construction by year of acquisition, national research facility equipment standard classification code, and type of institution based on the information of the research equipment invested by the Korean government for the past 14 years. In addition, we analyzed the correlation among the year of acquisition, equipment standard classification code, and type of institution variables. As of January 1 2019, from 2005 to 2018, 50 Chinese's research facilities & equipments (main equipment with a construction cost of 30 million won or more) built in the basic and analytical science fields were selected for this study and their number of construction, amount of construction, year of acquisition, type of institution, and standard classification code were analyzed. Differences of the number and amount of construction with-in and by year of acquisition, standard classification code, and type of institution were tested using a single sample Chi-square test, Mann-Whitney U test, and Kruskal-wallis test. The correlation among the three variables was analyzed by using the Chi-square test of cross-tabulation analysis. And there was a statistically significant correlation among the year of acquisition, standard classification code, and type of institution (p<.05). Compared to the 2000s, in the 2010s, high-priced Optical Electronics/Video Equipment was installed at private universities, private enterprises, and government-affiliated research institute. Therefore, the domestic construction status of Chinese's research facility & equipment in the basic science and analytical science field is less than that of the domestic ones, but the number and the amount of construction are increasing statistically. So it is necessary for the government to be able to recognize the possibility that the Chinese's research facility and equipment can encroach on the domestic research industry market and to prepare related provision.

Analysis of Success Cases of InsurTech and Digital Insurance Platform Based on Artificial Intelligence Technologies: Focused on Ping An Insurance Group Ltd. in China (인공지능 기술 기반 인슈어테크와 디지털보험플랫폼 성공사례 분석: 중국 평안보험그룹을 중심으로)

  • Lee, JaeWon;Oh, SangJin
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.71-90
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    • 2020
  • Recently, the global insurance industry is rapidly developing digital transformation through the use of artificial intelligence technologies such as machine learning, natural language processing, and deep learning. As a result, more and more foreign insurers have achieved the success of artificial intelligence technology-based InsurTech and platform business, and Ping An Insurance Group Ltd., China's largest private company, is leading China's global fourth industrial revolution with remarkable achievements in InsurTech and Digital Platform as a result of its constant innovation, using 'finance and technology' and 'finance and ecosystem' as keywords for companies. In response, this study analyzed the InsurTech and platform business activities of Ping An Insurance Group Ltd. through the ser-M analysis model to provide strategic implications for revitalizing AI technology-based businesses of domestic insurers. The ser-M analysis model has been studied so that the vision and leadership of the CEO, the historical environment of the enterprise, the utilization of various resources, and the unique mechanism relationships can be interpreted in an integrated manner as a frame that can be interpreted in terms of the subject, environment, resource and mechanism. As a result of the case analysis, Ping An Insurance Group Ltd. has achieved cost reduction and customer service development by digitally innovating its entire business area such as sales, underwriting, claims, and loan service by utilizing core artificial intelligence technologies such as facial, voice, and facial expression recognition. In addition, "online data in China" and "the vast offline data and insights accumulated by the company" were combined with new technologies such as artificial intelligence and big data analysis to build a digital platform that integrates financial services and digital service businesses. Ping An Insurance Group Ltd. challenged constant innovation, and as of 2019, sales reached $155 billion, ranking seventh among all companies in the Global 2000 rankings selected by Forbes Magazine. Analyzing the background of the success of Ping An Insurance Group Ltd. from the perspective of ser-M, founder Mammingz quickly captured the development of digital technology, market competition and changes in population structure in the era of the fourth industrial revolution, and established a new vision and displayed an agile leadership of digital technology-focused. Based on the strong leadership led by the founder in response to environmental changes, the company has successfully led InsurTech and Platform Business through innovation of internal resources such as investment in artificial intelligence technology, securing excellent professionals, and strengthening big data capabilities, combining external absorption capabilities, and strategic alliances among various industries. Through this success story analysis of Ping An Insurance Group Ltd., the following implications can be given to domestic insurance companies that are preparing for digital transformation. First, CEOs of domestic companies also need to recognize the paradigm shift in industry due to the change in digital technology and quickly arm themselves with digital technology-oriented leadership to spearhead the digital transformation of enterprises. Second, the Korean government should urgently overhaul related laws and systems to further promote the use of data between different industries and provide drastic support such as deregulation, tax benefits and platform provision to help the domestic insurance industry secure global competitiveness. Third, Korean companies also need to make bolder investments in the development of artificial intelligence technology so that systematic securing of internal and external data, training of technical personnel, and patent applications can be expanded, and digital platforms should be quickly established so that diverse customer experiences can be integrated through learned artificial intelligence technology. Finally, since there may be limitations to generalization through a single case of an overseas insurance company, I hope that in the future, more extensive research will be conducted on various management strategies related to artificial intelligence technology by analyzing cases of multiple industries or multiple companies or conducting empirical research.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.