• Title/Summary/Keyword: Impact Factor

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Developing New Journal Citation Indicators including Immediate Citation Frequencies in the Published Year (출판년도의 즉시 인용빈도를 포함하는 학술지 인용지수 개발)

  • Lee, Jae Yun
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.4
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    • pp.71-90
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    • 2018
  • The importance of citation measures has been increasing in the evaluation of scholarly journals and it becomes a major issue for Korean Citation Index (KCI) journals. The Journal Impact Factor (JIF), a widely used measure for academic journals, has a problematic issue that it does not include the number of citations for a paper immediately made in the year in which the cited paper was published. On the contrary, the Diachronous Impact Factor (IMP) includes the number of citations made in the published year, but IMP is a measure for papers published a few years ago, not in the last year. It does not represent the recent value of journals effectively. To overcome these problems, Total Impact Factor (TIF) and Mean Impact Factor (MIF) are proposed as new journal citation indicators. This study calculated the performance of proposed indicators experimentally on KCI data. The result shows that TIF is a promising measure for the multidimensional evaluation of humanities and social sciences journals in Korea because it has high stability by year and includes the immediate citations of the published year.

The Impacts of Empowerment on the Teamwork Performance: Evidence from Commercial Banks in Vietnam

  • HA, Van Dung
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.4
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    • pp.267-273
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    • 2020
  • The research examines the impacts of empowering leadership on teamwork performance of the employees in sales departments at commercial banks in Vietnam. Based on the data from the sample survey of 406 employees in sales departments of commercial banks in Vietnam, the paper uses various types of statistical methods and assesses the reliability of scales with Cronbach's Alpha, Confirmatory Factor Analysis as well as Structural Equation Modeling for analysis. The results show that the Empowering Leadership factor has a directly positive impact on Knowledge Sharing and Teamwork Performance, which means when the Empowering Leadership is positive, the Knowledge Sharing and Teamwork Performance will increase. In addition, Empowering Leadership also has an indirect impact on Teamwork Performance through Knowledge Sharing factor, which means when the Empowering Leadership is positive, the Teamwork Performance will increase. Moreover, Knowledge Sharing factor has a directly positive impact on Teamwork Performance, which means when the Knowledge Sharing factor is positive, the Teamwork Performance will increase. The findings suggest that Empowering Leadership has both directly and indirectly positive influence on Teamwork Performance. Moreover, Empowering leadership has a directly positive impact on Knowledge-sharing while Knowledge-sharing has a directly positive impact on Teamwork Performance of sales departments of commercial banks in Vietnam.

Developing Bibliometric Indicators for Analysis & Evaluation of National R&D Programs (국가연구개발사업의 과학적 성과분석을 위한 새로운 계량지표 개발에 관한 연구)

  • Heo, Jung-Eun;Kim, Hae-Do;Cho, Young-Don;Cho, Suk-Min;Cho, Soon-Ro
    • Journal of Korea Technology Innovation Society
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    • v.11 no.3
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    • pp.376-399
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    • 2008
  • Science and technology (S&T) is one of the most important elements in a nation's competitiveness. In an effort to strengthen their national competitiveness, all countries are focusing on upgrading the level of eir S&T. With these factors in mind, Korea has increased its support of national research and development (R&D). In recent years, this added support has resulted in an increased interest in the effectiveness of R&D. We have made continuous efforts to enhance the accountability and effectiveness of R&D by strengthening performance evaluation and considering R&D evaluation results during the budget review (appropriation) process. In order to change to a performance based system, we need to develop objective and scientific indicators to measure and evaluate the quality of the research performance of R&D programs. One of the primary research outcomes is publications. The impact factor of publications is widely used to evaluate overall journal quality and the quality of the papers published therein. However, the use of impact factors has been criticised because they can vary greatly when works from different subject areas are compared. In order to overcome this limitation, we have developed three kinds of qualitative indicators, which are functions of the impact factor. Two of these qualitative indicators, Modified Rank Normalized Impact Factor and Ordinal Rank Normalized Impact Factor, are based on order statistics (rank) for all journals from a specific specialty. The third qualitative indicator, Relative Field Impact Factor, uses the average impact factor of all journals within a subject category. We also suggest a quantitative indicator, Percentage of Contribution. In this study, we suggest 4 indicators and use them to evaluate the performance of outcomes from three R&D programs supported by the Ministry of Education, Science & Technology. We also perform a simulation study to verify the effectiveness of the proposed indicators. It can be shown that the proposed Ordinal Rank Normalized Impact Factor is the most reliable and effective indicator for comparing research performance across subject categories. However, we recommend using previous indicators in combination with the proposed indicators in this study for the research evaluation of R&D programs.

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Comparative Analysis of KoMCI 2004 and KCI 2004 Impact Factors (KoMCI(Korean Medical Citation Index)와 KCI(Korea Citation Index)의 2004년도 영향력지표값 비교분석)

  • Sun, Huh;Lee, Choon-Shil
    • Journal of Information Management
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    • v.36 no.3
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    • pp.183-193
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    • 2005
  • Korean Academy of Medical Sciences began developing Korean Medical Citaton Index(KoMCI) database in 2002, and has announced the impact factors of Korean medical journals published since 2000. In July 2005, Korea Research Foundation also announced the KCI impact factor of journals covering all subject areas for the 2003 and 2004. We compared the impact factor(IF), impact factor excluding self-citation(ZIF), and self-citation impact factor(SIF) of KoMCI 2004 and KCI 2004 in order to disclose why there is such a great difference in the values of impact factors between two databases. Out of 72 medical journals in both database, 59 journals were compared after excluding the missing data in KCI. Mean IF of KoMCI 2004 was 0.2 and that of KCI 2004 was 0.03(p=0.0000). Mean ZIF of KoMCI was 0.06 and that of KCI was 0.01(p=0.000). Mean SIF of KoMCI was 0.139 and that of KCI was 0.02(p=0.0000). We presumed that the major difference in the impact factor values was originated from the fact that KCI does not control the authority of journal names cited in the references. We strongly recommend that it is necessary to control the authority especially if Korea Research Foundation wants to ensure the validity and reliability of KCI data in the evaluation of korean journals.

A Study on the Impact Factor of the Sustainable Giving Behavior on the Non-Profit Organization (비영리조직에 대한 지속적 기부행동에 영향을 미치는 요인에 관한 연구)

  • Park, Chun-Ran
    • Management & Information Systems Review
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    • v.20
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    • pp.33-60
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    • 2007
  • This study is a study on the impact factor of the sustainable giving behavior on the non-profit organization. According the research by non-profit organization, the main factors of most individual donators was given by stimulating sympathy. Also, the donators of the non-profit organization wanted to get a certain convenience and benefit through their donation under the reciprocity. The present study is an attempt to develop a more through understanding of the potential and actual impact factors of the sustainable giving behavior on the non-profit organization. Expecially, it also consists of an effort to assess the impact factors of the sustainable giving behavior on the non-profit organization.

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A Study on Impact of Deep Learning on Korean Economic Growth Factor

  • Dong Hwa Kim;Dae Sung Seo
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.90-99
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    • 2023
  • This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

Optimal EEG Channel Selection using BPSO with Channel Impact Factor (Channel Impact Factor 접목한 BPSO 기반 최적의 EEG 채널 선택 기법)

  • Kim, Jun-Yeup;Park, Seung-Min;Ko, Kwang-Eun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.6
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    • pp.774-779
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    • 2012
  • Brain-computer interface based on motor imagery is a system that transforms a subject's intention into a control signal by classifying EEG signals obtained from the imagination of movement of a subject's limbs. For the new paradigm, we do not know which positions are activated or not. A simple approach is to use as many channels as possible. The problem is that using many channels causes other problems. When applying a common spatial pattern (CSP), which is an EEG extraction method, many channels cause an overfit problem, in addition there is difficulty using this technique for medical analysis. To overcome these problems, we suggest a binary particle swarm optimization with channel impact factor in order to select channels close to the most important channels as channel selection method. This paper examines whether or not channel impact factor can improve accuracy by Support Vector Machine(SVM).

The Impact of the Quality Factor of Smart Factory on the Intention to accept Advance Smart Factor: Mediating Effect of Perceived Value and Smart Factory Performance (스마트 팩토리 품질요인이 스마트 팩토리 고도화 의도에 미치는 영향: 지각된 가치 및 스마트 팩토리 성과의 매개효과)

  • Lee, Sangwon
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.367-382
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    • 2022
  • This study examined the impact of smart factory's quality factors on the intention to accept Advance Smart Factory(ASF) by mediating Perceived Value(PV) and Smart Factor Performance(SFP) of domestic SMEs that had introduced smart factor. As a result, First, Information Quality(IQ) and Service Quality(SQ) had a significant positive impact on Perceived Value(PV). Second, System Quality(SysQ), IQ, and SQ had a significant positive impact on SFP. Third, PV had a significant positive impact on intention to ASF, and PV and SFP had a significant positive impact on the intention to accept ASP. Also, PV had a mediating effect between SysQ, IS and Perfromance, and PV and Performance had a moderation between SQ and ASF. These results could provide one implication to SMEs that are taking into account to improve their smart factor to be advanced.

Investigating of a Floor-Impact Isolation System Using Damping Materials In Apartment Buildings (공동주택에서 완충재를 이용한 바닥충격음 저감 System 연구)

  • 송희수;정영;정정호;전진용
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.05a
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    • pp.499-504
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    • 2004
  • The purpose of this study is to investigate a investigating of a floor-impact isolation system using damping materials in apartment buildings. The stiffness elastic modulus(k) by puls impact forces were calculated loss factor by Hilbert transforms. It is absolved that natural frequency was moved floor shock-absorbing materials and the impact force was reduced by floor panel. The slab was constructed by damping materials. As towards a result, the system showed inverse A 45dB by heavy weight-impact noise and inverse A 52dB by light-impact noise. High frequencies impact-noise can be reduced by upgrading naturial frequency of vibration and noise in the system.

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Development of Impact Factor Response Spectrum based on Frequency Response of Both Ends-Fixed Beam for Application to Continuous Bridges (연속교 적용을 위한 양단고정지지 보의 진동수 기반 충격계수 응답스펙트럼 개발)

  • Roh, Hwasung;Lee, Huseok;Park, Kyung-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.12
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    • pp.301-306
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    • 2016
  • In bridge performance assessments, a new load carrying capacity evaluation model of simple bridges was proposed, which is based on the developed simple support impact factor spectrum. In this paper, a conservative assumption that the inner span with the both ends fixed boundary condition is ideal for applying the impact factor response spectrum for continuous bridges. The impact factor response spectrum has been proposed based on this assumption. The response spectrum by comparing the numerical analysis result and actual measurement data verified the applicability. The analysis was loading the moving load of DB-24 in a six-span continuous bridge, which was the same as the actual measurement data, the dynamic response was measured in the fourth span. The frequency of the bridge was obtained by FFT on the acceleration response and the span-frequency of sample bridge was calculated by the frequency. The impact factor of the sample bridge was determined by applying the span-frequency of the bridge to the proposed response spectrum; it was similar to the result of comparing the actual measured impact factor. Therefore, the method using the impact factor response spectrum based on the frequency response of both ends-fixed beam was found to be applicable to an actual continuous bridge.