• Title/Summary/Keyword: Tier analysis

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Consensus-Building on Most Important Problems: Analysis of Gallup Data from 1991 to 2006 (중요한 사회적 의제(MP)에 대한 공적 합의: $1991{\sim}2006$년의 갤럽데이터 분석)

  • Ha, Sung-Tae;Cho, Eui-Hyun
    • Korean journal of communication and information
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    • v.41
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    • pp.41-74
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    • 2008
  • Based on the theory of news media's agenda-setting function, this study analyzed Korean public's most important problems (MIP) and the degree of public consensus on the importance of those MIP's. The analysis was done in terms of both time and social strata. According to the findings, economy, social welfare, and political issues were in the for tier of the MIP list. The analysis of issue diversity (H-statistic) also demonstrated a relatively high degree of agenda consensus among Korean public despite some fluctuation in the consensus level, which appears to be higher than that among the American public. A decrease in the degree of agenda consensus with the passage of time appealed to be a general phenomenon across diverse social strata. However, the degrees of consensus-building were different in light of education, socioeconomic status, and the size of residential area. Those who are more educated, have more economic power, and live in a larger city had more chances to experience agenda consensus. These results seem to be basically attributable to the presumed positive relationship between these demographic variables and media exposure. The different degrees of public consensus according to the different levels of those demographic variables suggest that a closer investigation into the various influences on the importance of public issues among the respondents should be done in future studies.

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Study on Vibration Characteristics for Reducing Vibration of the Hopper-type Feeder (호퍼식급이기의 진동 저감을 위한 진동 특성 연구)

  • Lee, S.J.;Chang, D.I.;So, J.K.;Chang, H.H.;Yoon, T.J.
    • Journal of Animal Environmental Science
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    • v.14 no.1
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    • pp.53-60
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    • 2008
  • This study was carried out to measure and analyze the vibration levels and modes produced by a hopper type feeder used at laying hen farms, to prevent the vibration resonance and to reduce the vibration of the hopper type feeder (6-tier). The most vibration in a layer house were produced by hopper type feeder as shown the previous study. According to the measurement results, the ratio of transmissibility was as high as 100-638% for natural frequency of 170 Hz or less. And vibration simulations were taken by the results of vibration mode analysis and the weakest points to vibrations were determined accordingly. Then measurement and analysis were taken for those points. The quantities of vibration were 4.6354-4.9118 g($g=9.81^m/s^2$) by axis. In this study, it was found that hopper type feeder generated vibration as much as to influence the ratio of laying eggs of layer. And by the analysis of vibration on the weakest points, design methods and equipment were suggested for isolating/reducing of vibration by each axis.

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A Study on the Priority Evaluation of the Success Factors for Digital Transformation in Maritime Transport Sector (해상운송분야의 디지털 전환 성공요인에 대한 우선순위 평가에 관한 연구)

  • Chang, Myung-Hee
    • Journal of Korea Port Economic Association
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    • v.37 no.4
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    • pp.103-126
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    • 2021
  • The purpose of this study is described in detail as follows. First, I would like to define what digital transformation is in the maritime transport sector. Second, it is intended to derive success factors for digital transformation in the maritime transportation field by examining various preceding studies related to digital transformation. Finally, in order to derive priorities for the derived success factors, an AHP analysis model is built and an expert survey is conducted for practical experts in the maritime transportation field. Based on the survey results, we would like to provide guidelines on what factors should be considered first among the success factors of digital transformation in the maritime transportation sector. In this study, in order to derive the priority of success factors for digital transformation in the maritime transportation field, the hierarchical structure was divided into four high-level evaluation items(strategic factors, organizational culture and human factors, technology factors, and environmental factors) and 21 sub-evaluation items. A relative evaluation method of weighting items among AHP(Analytic Hierarchy Process) was applied. AHP analysis of 24 questionnaires with a consistency ratio of 0.1 or less in order to increase the accuracy of information among questionnaires collected through maritime transportation related university professors, research groups, shipping companies, container terminals, and experts engaged in shipping related IT companies was carried out. As a result of the analysis, the priority of the first-tier factors for the success factors of digital transformation in the maritime transport sector was shown in the order of strategic factors, organizational culture and human factors, technology factors, and environmental factors. In addition, when looking at the priorities of 21 detailed items, it was found that the development of new business models, the creation of an active future digital strategy, and the leadership of the chief digital officer were high.

A Study on Indoor Environment Safety Level Certification of Educational Facilities and School Safety Level Evaluation (교육시설 안전 등급 인증과 학교 안전도 심사에 대한 연구)

  • Myoung-Kwan Kim;Young-Guk Kwon
    • Journal of the Korea Safety Management & Science
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    • v.25 no.2
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    • pp.17-28
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    • 2023
  • This study aimed to verify the validity of the evaluation items and weight determination of the indoor environmental safety area, which has the most frequent accidents, among the safety certification evaluations of educational facilities by the Ministry of Education of the Republic of Korea, which has been conducted since May 2021. As a preceding study, the evaluation items of the school safety evaluation checklist being implemented in the US state of Vermont were compared, and the causes of accidents judged by teachers in the accident experiences written by 200 Korean teachers were compared with the safety certification evaluation items belonged to the Ministry of Education. In addition, research literature using the AHP analysis technique on safety risks of elementary and secondary schools in China and safety evaluation index study cases of 539 elementary school children in Indonesia were analyzed. Through these preceding studies, measures to add and adjust evaluation items were derived and the validity and importance rankings of evaluation items were calculated through AHP questionnaires to teachers and safety experts. In addition, a survey was conducted on 104 ordinary people to verify the results of expert analysis. As a result of expert AHP analysis, 'safety education and disaster response training (.396)' was the highest priority for the relative importance of the first layer, followed by 'safety measures (.387)' and 'building materials'. Safety (.216)' was found to be the highest priority. In the overall importance ranking of the 13 second-tier screening items, safety accident prevention education had the highest priority and disaster preparedness training ranked second, proving that the Ministry of Education's review weight was underestimated. In addition, slip and collision accident countermeasures, which were not in the existing Ministry of Education review items, ranked 4th, laboratory practice room safety measures ranked 6th, and sanitation, cleanliness, hazardous substance management, and cafeteria/cooking room safety measures ranked 9th, indicating a significant level of importance. Referring to the importance ranking, which is the result of this study, it is suggested that it is necessary to review the weight of each review item again.

Conditional Quantile Regression Analyses on the Research & Development Expenses for KOSPI-listed Firms in the Post-era of the Global Financial Turmoil (국제 금융위기 이후 국내 유가증권시장 상장기업들의 연구개발비에 대한 분위회귀분석 연구)

  • Kim, Hanjoon
    • The Journal of the Korea Contents Association
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    • v.18 no.4
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    • pp.444-453
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    • 2018
  • The study addresses the analysis on the financial determinants of corporate research and development (R&D) expenditure in finance. Overall level of R&D spending was estimated as one of the top-tier on a global basis and a majority of the expenditure was invested by large domestic firms in private sector. Consequently, financial factors that influence R&D intensity were empirically tested in the first hypothesis by using conditional quantile regression model for firms listed in KOSPI stock market in the post-era of the global financial turmoil. Firms in the groups of high- and low-R&D intensity were statistically compared to detect financial differences in the second hypothesis which was accompanied by the test of multi-logit model that included firms without R&D outlay. Concerning the results of the hypothesis tests, R&D spending of the prior fiscal year, firm size, business risk and advertising expense overall showed statistically significant impacts to determine the level. As an extended study of [1] that had examined financial factors of R&D intensity at the macro-level, the results of the present study are anticipated to contribute to maximizing shareholders' wealth in advance or emerging capital markets, when applied to find an optimal level of R&D expenditure.

Efficiency Analysis of Ocean Shipping Lines Using Non Radial DEA Model (비방사적 DEA 모형을 활용한 외항해운기업의 경영효율성 분석에 관한 연구)

  • Lee, Tae-Hwee;Yeo, Gi-Tae
    • Journal of Korea Port Economic Association
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    • v.31 no.1
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    • pp.37-49
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    • 2015
  • According to outstanding maritime economists from domestic and overseas, shipping lines or ships' enlargement reduce fixed costs, and assist realization of scale of economy of shipping. On the contrary, recent Korean liquidity crisis on the shipping lines (SL) has been focused on the leading companies such as Hanjin Shipping (HJS), Korealines, and STX Pan Ocean. In this respect, this study aims to review Korean SLs' strategies and suggest the optimal solution between the specialization and enlargement. For these purposes, this research adopts slack based measure data envelopment analysis (SBM-DEA) model as a research methodology. As for decision making units (DMUs), SLs which have increased the vessel numbers and belonged to top tier group in year 2013, are selected. The results are comprised with two aspects. Firstly, HJS, KMTC, Korea LNG Trading (KLT), EUKOR, and Sinokor Tanker show the most efficient in regard to constant return to scale (CRS) model. Secondly, HJS, KMTC, KLT, Daerim, Chungang, Sinnokor Tanker, and EUKOR are the most efficient companies in terms of variable return to scale (VRS) model. Lastly, these results could be affected to the management philosophy and can answer the following question. Which is the most optimized SL?s management decision making, enlargement or specialization?

5An Empirical Study on effect between Mobile Device Property and Customer Satisfaction (이동전화단말기 속성이 고객만족에 미치는 영향에 관한 실증적 연구)

  • Choi, Seung-Il;Kim, Dong-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.5
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    • pp.1856-1862
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    • 2010
  • Last rapidly changing mobile handset market in many industries, as well as market conditions affect the prevalence of various content types of consumer spending in general is affecting. Changes in mobile handset market by separating the various consumer-tier analysis, or differentiated in consumers' purchasing behavior are being reflected in the property analysis and overview of customer satisfaction can be assessed by measuring. These mobile devices and the purchase of the devices to investigate the tendency to analyze and weigh the various content industries, you can see how important one can be considered. The development of mobile communication systems and wireless internet and multimedia applications can lead the industry accelerated. In this study, tried to investigate that the mobile communication systems in consideration of the special form of mobile handsets, and customer satisfaction of mobile phone handsets, and the relationship between customer loyalty. Outcome of this study, the mobile properties and the mobile handset brand, price, design and related details to be statistically significant variables were analyzed. In this study, the characteristics of future mobile handset market with a wide range of content-based guidelines for the development of the industry is expected to be able to provide.

Prognostic Factor Analysis of Overall Survival in Gastric Cancer from Two Phase III Studies of Second-line Ramucirumab (REGARD and RAINBOW) Using Pooled Patient Data

  • Fuchs, Charles S.;Muro, Kei;Tomasek, Jiri;Van Cutsem, Eric;Cho, Jae Yong;Oh, Sang-Cheul;Safran, Howard;Bodoky, Gyorgy;Chau, Ian;Shimada, Yasuhiro;Al-Batran, Salah-Eddin;Passalacqua, Rodolfo;Ohtsu, Atsushi;Emig, Michael;Ferry, David;Chandrawansa, Kumari;Hsu, Yanzhi;Sashegyi, Andreas;Liepa, Astra M.;Wilke, Hansjochen
    • Journal of Gastric Cancer
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    • v.17 no.2
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    • pp.132-144
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    • 2017
  • Purpose: To identify baseline prognostic factors for survival in patients with disease progression, during or after chemotherapy for the treatment of advanced gastric or gastroesophageal junction (GEJ) cancer. Materials and Methods: We pooled data from patients randomized between 2009 and 2012 in 2 phase III, global double-blind studies of ramucirumab for the treatment of advanced gastric or GEJ adenocarcinoma following disease progression on first-line platinum- and/or fluoropyrimidine-containing therapy (REGARD and RAINBOW). Forty-one key baseline clinical and laboratory factors common in both studies were examined. Model building started with covariate screening using univariate Cox models (significance level=0.05). A stepwise multivariable Cox model identified the final prognostic factors (entry+exit significance level=0.01). Cox models were stratified by treatment and geographic region. The process was repeated to identify baseline prognostic quality of life (QoL) parameters. Results: Of 1,020 randomized patients, 953 (93%) patients without any missing covariates were included in the analysis. We identified 12 independent prognostic factors of poor survival: 1) peritoneal metastases; 2) Eastern Cooperative Oncology Group (ECOG) performance score 1; 3) the presence of a primary tumor; 4) time to progression since prior therapy <6 months; 5) poor/unknown tumor differentiation; abnormally low blood levels of 6) albumin, 7) sodium, and/or 8) lymphocytes; and abnormally high blood levels of 9) neutrophils, 10) aspartate aminotransferase (AST), 11) alkaline phosphatase (ALP), and/or 12) lactate dehydrogenase (LDH). Factors were used to devise a 4-tier prognostic index (median overall survival [OS] by risk [months]: high=3.4, moderate=6.4, medium=9.9, and low=14.5; Harrell's C-index=0.66; 95% confidence interval [CI], 0.64-0.68). Addition of QoL to the model identified patient-reported appetite loss as an independent prognostic factor. Conclusions: The identified prognostic factors and the reported prognostic index may help clinical decision-making, patient stratification, and planning of future clinical studies.

Optimum Allocation Modelling of Rural Facilities by Decision-Making Technique - With Special Reference to Agricultural-cum-Industrial Complex- (의사결정기법을 이용한 농촌지역시설 적정입지선정 모델 - 농공단지를 중심으로 -)

  • Choe, Su-Myeong;Kim, Yeong-Ju;Hwang, Han-Cheol
    • Journal of Korean Society of Rural Planning
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    • v.4 no.1
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    • pp.98-107
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    • 1998
  • For efficient development of rural facilities, choice of their optimum locations would be an important issue, however, existing research works concentrated much more an allocation policy of urban industrial complex and public facilities than rural ones. In this study, because agricultural-cum-industrial complex has been the most widely developed representative one of rural facilities, it was selected as a case study facility. As a pre-study to system development, existing governmental location-decision system was checked and interviewing survey carried out to find out on-spot problems. And, being based on literature review and survey analysis results, 4-step optimum locational decision model was developed , formulation of locational goal system, ranking tabulation on components, determination of significance values of components, calculation of component scores. Finally, through the case study works on 3 sites, system applicability was checked, Considering together the simplicity problem of existing guidelines and the interviewing survey results favoring the diversified viewpoints, it would be necessary to develop multifaceted support system for locational decision making. 3-tier classification steps from the higher, middle to lower one were used and their underpinning viewpoints were sorted as on regional development, entrepreneurship, spatial rationality, from which a tentative locational goal system was formulated. Through the expert group checking, final locational goal system was determined having 3 of the higher classification items, 7 of the middle ones, 23 of the lower ogles. For ranking tabulation, 3 types of ranking criteria were arranged which were based on statistical analysis using mean and standard deviation(Type I ), its existence or not 1 good or not(Type E ), and the others(Type E ). From the significance evaluation results, regional development and entrepreneurship aspects were valued much higher than spatial rationality aspect. And, in the middle step, items as spread effects of regional economy, accessibility and social potentialities were highly valued while infrastructural development level and natural condition being low. The application results of the system to 3 case study total. However, the detailed ones differed among study the influencing effects on regional economy, and contrast greater the infrastructural development level. Conclusively, final evaluation values well represented the characteristics of each area. If this system be complemented and applied comprehensively by the successive studies, it would be developed to a general model of locational decision supporting system for rural facilities.

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A Study on the Selection Factors of Contents Service for the Popularization of AI Speaker based on AHP (AI Speaker 대중화를 위한 콘텐츠 서비스 선택 요인에 관한 연구 - AHP(계층화 분석)를 중심으로)

  • Lee, Hweejae;Kim, Sunmoo;Byun, Hyung Gyoun
    • The Journal of the Korea Contents Association
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    • v.20 no.11
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    • pp.38-48
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    • 2020
  • The domestic AI speaker market is growing into a full-fledged early audience market beyond the innovative consumer market with 3 million domestic supply units at the end of 2018, but the reality is that for various reasons, we are not satisfied with the use. There are many previous papers on AI Speaker, but the majority of research so far tends to be biased towards the acceptance of the device's own performance. Many changes are being made, such as OTT providers trying to secure the market through collaboration with AI speaker providers. This study tried to identify the priorities for content services, which can be another major selection factor for AI speakers, excluding the factors of unsatisfactory technology. First, this study identified the priorities among AI speaker selection factors using AHP (Analytic Hierarchy Process), based on the AI speaker selection factors derived through literature research. The most important hierarchical factor are Concierge Service, Education Service, and Entertainment Service order in AI speaker selection, and the primary content among the individual factors was the one that ranked weather/temperature/fine dust (11.6%) and child caring content was in the second place (10.8%), and then music service was in the third place (9.8%). The three top priorities were derived from the items in the top tier 1, 2 and 3 priorities. Of the total 15 individual services, 6 sub-layers of Concierge Service (weather/temperature/fine dust, news, voice schedule notification) and Education Service (foreign language, toddler, reading books) were in the top 8, and two of the Entertainment Service Music service and movie service ranked third and sixth.