• Title/Summary/Keyword: 정보탐색전략

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An Exploratory Study on the Relationship with Previous Project Risk Evaluation and Project Performance (사전 프로젝트 리스크 평가와 프로젝트 성과와의 관계에 관한 탐색적 연구)

  • Hosnag, Kim;Kyungsik Yang
    • Journal of Service Research and Studies
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    • v.12 no.3
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    • pp.70-92
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    • 2022
  • Project risk assessment is the most important activity performed at the beginning of a project because it can judge the performance of the project in advance. In this study, We were evaluated risk with traditional risk factors such as technology and schedule, etc, and Indirect risks factors such as financial, strategic, and special risks. and then, we analyzed what kind of relationship these risk evaluation factors have on business performance and customer satisfaction. As a result of the research, it was found that the risk evaluation items had a relationship with performance and customer satisfaction. However, It is possible that the performance may differ depending on how risks are managed after risk assessment. Therefore, follow-up studies should be conducted, including information on risk management practices. This study is meaningful that presenting practical risk evaluation items and at the same time identifying the relationship with performance. We plan to further the study in future studies including the evaluation of risk management process.

The Mediating Effect of Network Embeddedness on Investment Performance of Multinational Manufacturers in China (중국시장에 진출한 다국적제조기업의 투자성과에 미치는 네트워크 배태성의 매개효과 실증분석)

  • Song Gao;Sung-Hoon Lim
    • Korea Trade Review
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    • v.48 no.2
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    • pp.1-26
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    • 2023
  • The purpose of this study is to demonstrate how internal capability adjustments made by subsidiaries in response to local market adaption and market changes, together with the use of internal and external networks, have an impact on the investment performance of such subsidiaries. From the empirical results, it was proven that the larger the extent of internal capability adjustment made by subsidiaries, and the more quickly and flexibly it is implemented, the more positive the investment performance is. The empirical findings also showed that in this process, the use of internal/external network embeddedness has a positive mediating impact on the investment performance. Additionally, the results of statistical analysis support the research hypothesis that external embeddedness has a greater mediating influence on multinational manufacturing companies entering Chinese market than internal embeddedness. It implies to the top managers of subsidiaries that the subsidiary should actively utilize external embeddedness to create a new locational competitive advantage in the local region, as well as develop a strategy to reduce foreignness costs such as cost of adapting to the local system.

A Study on Decision Making for Blockchain-based IT Platform Selection for Security Token (블록체인 기반의 토큰 증권 IT 플랫폼 선택을 위한 의사결정 연구)

  • Soo-oh Yang;Byung Wan Suh
    • Journal of Platform Technology
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    • v.11 no.5
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    • pp.37-48
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    • 2023
  • Since the announcement of the Financial Services Commission's 'Token Securities Issuance and Distribution System Improvement Plan' in February 2023, financial institutions, securities firms, and blockchain companies have been actively considering implementing IT platforms, but they are facing difficulties in selecting IT platforms for token securities because related legal regulations have not yet been clearly established. As a result, the need for rational and systematic criteria for the selection of blockchain-based token securities IT platforms has emerged, and this study explores and evaluates the key factors of token securities IT platform selection. Four factors were identified as the top-level factors, including 'maturity of the platform', 'operation and management of the platform', 'cost of introducing and maintaining the platform', and 'regulatory compliance for token securities', and 17 factors were identified as sub-level factors, including 'diversity', 'user authentication management', 'Adoption Costs', and 'financial regulations'. Among the 17 sub-factors, 'government financial regulation' and 'personal information protection' are selected as important factors, and the results of this study can help related organizations and financial companies make strategic decisions by providing systematic decision-making criteria for selecting token securities IT platforms.

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The Causal Relation between Win-Win Growth Strategies of Small and Medium-Sized Businesses and Corporate Performance (중소기업의 동반성장 전략과 기업성과의 인과 관계)

  • Ban, Won Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.552-560
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    • 2018
  • Since 1960's, the large conglomerates of South Korea have grown due to the corporate-centered, fast-paced growth drive, while the small and medium-sized businesses supported the country's economy as the subordinate structure of these conglomerates. Due to the globalization of the business environments, the focus of competition shifted from competitions between individual companies to one between networks of companies. Therefore, more emphasis is now put on the capabilities of the cooperation networks between companies rather than the capabilities of individual companies. Therefore, in this study, the author examined the influence of the win-win growth strategy elements through cooperation with small and medium-sized businesses upon corporate performance. This study was conducted with the workers of small and medium-sized businesses that have previous cooperation experiences with South Korean conglomerates over the period from March 2 to May 17, 2018. For this, a total of 515 questionnaires were retrieves to obtain the data for analysis. The analysis was conducted using SPSS 22.0 and AMOS 18.0. The analytical processes that were taken included exploratory factor analysis, confirmatory factor analysis, confidence analysis, correlation analysis, and structural equation analysis model. The results of the analysis showed that, first of all, the win-win growth strategy factors that affected the strategic performance, which is a part of cooperate performance were, respectively, harmonization with the goals, production technical support, and quality system. Second, the win-win growth strategy factors that affected the financial performance, which is a part of corporate performance, turned out to be harmonization with the goals, quality system, and incentive. With the results of this study, it was shown that the elements such as harmonization with the goals, production technical support, quality systems, and incentives were key infrastructural factors that affected the corporate performance directly. On the other hand, its implication is that informative or knowledge-related factors, such as joint knowledge creation, do not have their own added values, while they are not too much likely to affect corporate performances for the moment.

An Empirical Study on Trading Techniques Using VPIN and High Frequency Data (VPIN과 고빈도 자료를 활용한 거래기법에 관한 실증연구)

  • Jung, Dae-Sung;Park, Jong-Hae
    • Management & Information Systems Review
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    • v.38 no.4
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    • pp.79-93
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    • 2019
  • This study analyzed the information effect of KOSPI200 market and KOSPI200 futures market and volume synchronized probability of informed trading (VPIN). The data period is 760 days from July 8, 2015 to August 9, 2018, and the intraday trading data is used based on the trading period of the KOSPI 200 Index. The findings of the empirical analysis are as follows. First, as a result of regression analysis of the same parallax, when the level of VPIN is high, the return and volatility of KOSPI200 are high. Second, the KOSPI200 returns before and after the VPIN measurement and the return of the KOSPI200 future had a positive relationship with the VPIN. The cumulative returns of KOSPI200 futures were positive for about 15 minutes.Finally, we find that portfolios with high levels of VPIN showed high KOSPI200 and KOSPI200 futures return. These results confirmed the applicability of VPIN as a trading strategy index. The above results suggest that KOSPI200 and KOSPI200 futures markets will be able to explore volatility and price changes, and also be useful indicators of financial market risk.

Exploring the Antecedents to Affect the Intention to Use of Mobile Banking (모바일뱅킹 사용의도에 영향을 미치는 요인에 대한 탐색)

  • Moon, Yun Ji
    • Management & Information Systems Review
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    • v.38 no.1
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    • pp.103-120
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    • 2019
  • Recently, as mobile banking enables to instantly provide the customized service in accordance with customer demand via information technology. With this individual customized service, mobile banking plays a role of transforming the existing offline banking strategies. However, contrary to expectation, the mobile banking service has not been widely used to the extent that it can replace offline banking service. Therefore, the current study aims to explore the antecedents to affect customer's usage of mobile banking. Specifically, the antecedents influencing the intention to use and actual usage of mobile banking include personal-innovation fit, positive psychological capital, and service quality factors, which reflect the innovative technology characteristics of mobile banking. Furthermore, the paper also analyzes the effect of mobile banking service on intention to use and actual usage of mobile banking service. With empirical analysis using Structural Equation Modeling for 195 mobile banking users, the results showed that user's ability fit, value fit, and positive psychological capital positively affected user's future intention to use and actual usage of mobile banking. Furthermore, the current paper also found the significant moderation effect of usage purpose of mobile banking (banking task and online stock exchange) in the relationship between positive psychological capital and intention to use. This study suggests that banks need to develop mobile banking services that reflect customer's IT usability as well as their pursuing purpose and value.

Factors affecting the ability of older adults to identify symptoms of depression (노인의 우울증상 식별력에 영향을 미치는 요인)

  • Lee, Sun Hae;Ko, Jung Eun
    • 한국노년학
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    • v.29 no.2
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    • pp.529-546
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    • 2009
  • Depression in old age not only is prevalent but also causes a considerable amount of burden in physical, psychosocial, and economic terms. Intervention, however, is often delayed due to the understanding that considers depressive symptoms as a normal process of aging or signs of physical illnesses. Since the recognition of symptoms often initiate one's help seeking process, a correct identification of symptoms can contribute to early detection and intervention to depression in oneself as well as in others. This study interviewed 104 older adults living in an urban area, and explored their ability to correctly identify depressive symptoms and factors related to identification. The study results show that respondents who were able to correctly identify symptoms of depression were only 14%, and the rest defined the symptoms as social, economic, and other psychological issues. Of the factors in the logistic regression model, age being 75 and over and mass media as source of mental health information affected negatively their ability to correctly identify symptoms; mental health education programs affected positively their ability. Based on these results, it is suggested that such strategies as employing a face-to-face provision of concrete information and counseling can be more effective than delivering information via large-scale lectures. Additionally, a future research deems necessary to conduct an in-depth examination of mental health/illness-related contents on mass media.

Analysis of Science and E-book Application for Universal Design for Learning for Students with Disabilities (장애학생을 위한 초등학교 과학과 e-book의 보편적 학습설계 적용 분석)

  • Lee, Okin
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.9-14
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    • 2020
  • This study examined whether the integrated education science and resource e-book developed for students with disabilities were properly implemented in terms of universal design for learning. For analysis, "Teaching and learning materials for inclusive education of students with disabilities: grade 3~6 sciences", which were instructional adaptation, were selected for students with disabilities who are unable to learn the contents of general textbooks for the 3rd to 6th grade of the elementary school science course in the 2015 revised curriculum. The science grades are composed of 40 units, including basic science inquiry, matter, life, kinetic and energy, earth and universe. The content analysis standard was based on detailed items of 9 definitions according to the 3 principles of UDL presented in CAST (2018). As a result of the study, the strategy network was the largest among the UDL principles. As for the domain of the science curriculum, the kinetic and energy was the most common. As UDL detailed items, informations presentation suitable for learners was most frequent in cognitive network. Various ways of searching for data, was most frequent in strategies network. Diverse materials optimized difficulty of contents was most frequent in affective network.

A study on communication process with team members perceived by team leader in corporation (기업 팀장이 인식하는 팀원과의 의사소통 과정 연구)

  • Baek, Eun Jung;Shin, Hyo Jung
    • The Korean Journal of Coaching Psychology
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    • v.5 no.2
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    • pp.25-51
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    • 2021
  • The purpose of this study is to deeply explore the communication process with team members perceived by team leader. To this end, in-depth interviews were conducted with 10 team leaders, and analyzed according to the grounded theory research method procedure suggested by Strauss and Corbin. As a results, a total of 51 concepts, 17 subcategories, and 8 categories were derived. As a causal condition, the concept of 'contemplating and reinterpreting communication necessary for the organization' was derived, and the central phenomenon was 'intentional effort made in parallel with work and private conversations'. The contextual condition was 'recognizing the need to cope with environmental changes', and the mediating condition was 'self-reflection and self-coaching time' was derived. The action/interaction strategy was conceptualized as a communication process with task-oriented coping, conflict resolution coping, and relationship promotion coping, and was confirmed as 'recognizing virtuous cycle communication within the organization' as a result of interaction with the central phenomenon. As a result of analysis of the team leader's communication process, the effort stage, approach stage, coping stage, and cycle stage were shown. As a result of the type analysis, task-oriented coping was a facilitator, conflict resolution coping was a supporter, and relationship promotion coping was a considerate. This study is an empirical study on how the corporate team leader perceives and expresses communication in the relationship with the team members.

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Analysis of achievement predictive factors and predictive AI model development - Focused on blended math classes (학업성취도 예측 요인 분석 및 인공지능 예측 모델 개발 - 블렌디드 수학 수업을 중심으로)

  • Ahn, Doyeon;Lee, Kwang-Ho
    • The Mathematical Education
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    • v.61 no.2
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    • pp.257-271
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    • 2022
  • As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.