• Title/Summary/Keyword: Data evidence analysis

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The Effects of Service Quality on Long-Term Orientation with Customers in Fashion Retail Stores

  • Ju, Seong-Rae;Chung, Myung-Sun
    • The International Journal of Costume Culture
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    • v.9 no.1
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    • pp.15-26
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    • 2006
  • The purposes of this study were 1) to identify the dimension of perceived service quality of fashion retail stores in the basis of expanded marketing mix, 2) to investigate the effect of each dimension on long-term orientation/customer satisfaction, trust, commitment and WOM/repurchase intention) on perceived service quality. The questionnaires were administered to 333 women shopped in a fashion retail store in Gwang-ju city. Data were analyzed by using exploratory and confirmatory factor analysis, Cronbach' ${\alpha}$, and multi-regression analysis. The results were as follows: 1) The dimension of perceived service quality based on expanded marketing mix were classified as follow: product, price, place, promotion, people, physical evidence, process services. Long-term orientation was categorized into four factors: customer satisfaction, trust, commitment, WOM/repurchase intention. 2) For the effect of the perceived service quality by dimension, product, people, physical evidence, process services have significant effect on long-term orientation, while price, place, promotion services have not significant.

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The Causal Structure between the Critical Thinking and the Scientific Literacy Competency in Pre-service Elementary Teachers (초등예비교사의 비판적 사고와 과학적 소양의 역량에 대한 인과구조)

  • Kim, Dong Uk
    • Journal of Korean Elementary Science Education
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    • v.37 no.1
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    • pp.1-11
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    • 2018
  • Factors and causal structures of pre-service elementary teachers about the critical thinking and the scientific literacy competency were investigated in this study. The third grade university students and the first grade university students in the metropolitan city participated in this study. The factor analysis method and the structural equation modeling method were used for the data analysis, and the following results were obtained. First, the third grade university students and the first grade university students recognized 'inquisitive thinking' factor and 'reflective thinking' factor as factors of the critical thinking, and 'scientific explanation' factor and 'evidence-based conclusion' factor as factors of the scientific literacy competency respectively. Second, the third grade university students showed more the influence from 'reflective thinking' factor to 'scientific explanation' factor and from 'reflective thinking' factor to 'evidence-based conclusion' factor than the first grade university students.

The Impact of Transforming Unstructured Data into Structured Data on a Churn Prediction Model for Loan Customers

  • Jung, Hoon;Lee, Bong Gyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.12
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    • pp.4706-4724
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    • 2020
  • With various structured data, such as the company size, loan balance, and savings accounts, the voice of customer (VOC), which is text data containing contact history and counseling details was analyzed in this study. To analyze unstructured data, the term frequency-inverse document frequency (TF-IDF) analysis, semantic network analysis, sentiment analysis, and a convolutional neural network (CNN) were implemented. A performance comparison of the models revealed that the predictive model using the CNN provided the best performance with regard to predictive power, followed by the model using the TF-IDF, and then the model using semantic network analysis. In particular, a character-level CNN and a word-level CNN were developed separately, and the character-level CNN exhibited better performance, according to an analysis for the Korean language. Moreover, a systematic selection model for optimal text mining techniques was proposed, suggesting which analytical technique is appropriate for analyzing text data depending on the context. This study also provides evidence that the results of previous studies, indicating that individual customers leave when their loyalty and switching cost are low, are also applicable to corporate customers and suggests that VOC data indicating customers' needs are very effective for predicting their behavior.

Development of Evidence Analysis Tool based on Active Data for Digital Forensics (디지털 포렌식을 위한 활성데이터 기반 증거분석도구 개발)

  • Lee, Jun-Yeon
    • Journal of Digital Convergence
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    • v.10 no.3
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    • pp.99-104
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    • 2012
  • The digital forensics are new kinds of security that investigate and verificate fact relation about activities based on digital data. In this paper, we implemented digital forensic tool that can be used in collecting, analyzing, and reporting evidences. This tool support intuitional GUI that everybody can analyze easily. And a simple operation can collect and analyze active data. Also, we can decrease much time and endeavor by using this forensic tool that support reliable data.

Collaboration in a Web-Based Learning Environment: Opportunities and Challenges

  • HAN, Seungyeon
    • Educational Technology International
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    • v.9 no.2
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    • pp.123-142
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    • 2008
  • The purpose of this study was to examine how computer conferencing might facilitate collaborative learning for students to engage in meaningful discussion. The participants in this study consisted of the instructor and the students in a graduate level course. Different sources of evidence were used to triangulate the data: in-depth interviews, content analysis of transcripts of discussion, and other archival data including course syllabus, presentation materials, and lecture notes. Participants perceived web-based learning as collaborative process, providing opportunities to share the idea, respect and evaluate different perspectives, and co-construct new insights. Analysis of the data revealed several challenges related collaboration in a web-based learning environment: absence of a sense of community, technical problems, adaptability to different types of learner, and managing the discussion. The data also indicated that a variety of strategies were used to facilitate learning: building a sense of community, technical support, developing instructional methodologies, class size, and design of the content.

Network Graph Analysis of Gene-Gene Interactions in Genome-Wide Association Study Data

  • Lee, Sungyoung;Kwon, Min-Seok;Park, Taesung
    • Genomics & Informatics
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    • v.10 no.4
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    • pp.256-262
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    • 2012
  • Most common complex traits, such as obesity, hypertension, diabetes, and cancers, are known to be associated with multiple genes, environmental factors, and their epistasis. Recently, the development of advanced genotyping technologies has allowed us to perform genome-wide association studies (GWASs). For detecting the effects of multiple genes on complex traits, many approaches have been proposed for GWASs. Multifactor dimensionality reduction (MDR) is one of the powerful and efficient methods for detecting high-order gene-gene ($G{\times}G$) interactions. However, the biological interpretation of $G{\times}G$ interactions identified by MDR analysis is not easy. In order to aid the interpretation of MDR results, we propose a network graph analysis to elucidate the meaning of identified $G{\times}G$ interactions. The proposed network graph analysis consists of three steps. The first step is for performing $G{\times}G$ interaction analysis using MDR analysis. The second step is to draw the network graph using the MDR result. The third step is to provide biological evidence of the identified $G{\times}G$ interaction using external biological databases. The proposed method was applied to Korean Association Resource (KARE) data, containing 8838 individuals with 327,632 single-nucleotide polymorphisms, in order to perform $G{\times}G$ interaction analysis of body mass index (BMI). Our network graph analysis successfully showed that many identified $G{\times}G$ interactions have known biological evidence related to BMI. We expect that our network graph analysis will be helpful to interpret the biological meaning of $G{\times}G$ interactions.

A Panel Analysis of Influence of R&D on Export (연구개발의 수출에 대한 영향 분석)

  • Choi, Bong-Ho;Kim, Sang-Choon
    • International Commerce and Information Review
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    • v.12 no.1
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    • pp.251-270
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    • 2010
  • The purpose of this study is to analyse the general influence of R&D on export, and to induce policy implications. The method of analysis is panel data analysis based on a data set of Korea, United States and Japan. The result of analyses shows that the influence of R&D on export is significant and positive. In addition, the results also confirmed generally positive relationships between R&D and export. It means that R&D is an important factor to raise international competitiveness of export commodities. We can conclude that the empirical results provide evidence to support the neotechnology theory of trade in the context of Korea, United States and Japan.

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Foreign Capital Flows, Banking Stability and the Role of International Trade Cooperation and Distribution an Empirical Analysis from the ASEAN Region

  • LU, Chi Huu;LUONG, Thuy Thi Thu
    • Journal of Distribution Science
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    • v.20 no.7
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    • pp.23-33
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    • 2022
  • Purpose: Although foreign capital flows have played a vital role in fostering the economic growth in recipient countries, there are some concerns about the adverse impact of international capital flows on the banking stability. Hence, the study revisits this issue to explore the relationship between the different types of foreign investments and banking stability in ASEAN region. Research design, data and methodology: Based on the bank-level data of 96 commercial banks and country-level in six ASEAN countries from 2008 to 2019, we perform the multivariate regression analysis and provide a variety of robustness tests. Results: Our empirical evidence shows the volatility of foreign portfolio investments has significantly negative effect on the banking stability, besides that of foreign other investments has the similar influence but the result is relatively less pronounced in some robustness tests. Additionally, increasing trade cooperation and international distribution may lead countries to face higher risk of banking instability driven from these international investments. Meanwhile, the impact of foreign direct investments is positive, but the evidence is the least obvious. Conclusions: Our findings suggest policy-makers in ASEAN and emerging nations as a whole should carefully consider when building policies-related to mitigate the adverse impact of foreign capital flows.

Survival Outcomes after Whole Brain Radiation Therapy and/or Stereotactic Radiosurgery for Cancer Patients with Metastatic Brain Tumors in Korea: A Systematic Review

  • Hyun, Min Kyung;Hwang, Jin Seub;Kim, Jin Hee;Choi, Ji Eun;Jung, Sung Young;Bae, Jong-Myon
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7401-7407
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    • 2013
  • Aim: To compare survival outcomes after whole brain radiation therapy (WBRT), stereotactic radiosurgery (SRS), and WBRT plus SRS combination therapy in Korea, by performing a quantitative systematic review. Materials and Methods: We searched 10 electronic databases for reports on Korean patients treated with WBRT or SRS for brain metastases published prior to July 2010. Independent reviewers screened all articles and extracted the data. When a Kaplan-Meier survival curve was available, median survival time and standard errors were calculated. Summary estimates for the outcomes in each study were calculated using the inverse variance random-effects method. Results: Among a total of 2,761 studies, 20 studies with Korean patients (n=1,053) were identified. A combination of 12 studies (n=566) with WBRT outcomes showed a median survival time of 6.0 months (95%CI: 5.9-6.2), an overall survival rate of 5.6% (95%CI: 1-24), and a 6-month survival rate of 46.5% (95%CI: 37.2-56.1). For nine studies (n=412) on SRS, the median survival was 7.9 months (95%CI: 5.1-10.8), and the 6-month survival rate was 63.1% (95%CI: 49.8-74.8). In six studies (n=75) using WBRT plus SRS, the median survival was 10.7 months (95%CI: 4.7-16.6), and the overall and 6-month survival rates were 16.8% (95%CI: 6.2-38.2) and 85.7% (95%CI: 28.3-96.9), respectively. Conclusions: WBRT plus SRS showed better 1-year survival outcome than of WBRT alone for Korean patients with metastatic brain tumors. However, the results of this analysis have to be interpreted cautiously, because the risk factors of patients were not adjusted in the included studies.

Genetic Association between ERCC5 rs17655 Polymorphism and Colorectal Cancer Risk: Evidence Based on a Meta-analysis

  • Zeng, Yong;Wei, Li;Wang, Ya-Jie;Liu, Chuan
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.13
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    • pp.5565-5571
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    • 2015
  • Background: Previous studies evaluating the association between the excision repair cross complementing group 5 (ERCC5) gene rs17655 polymorphism and colorectal cancer susceptibility generated controversial results. To generate large-scale evidence on whether the ERCC5 rs17655 polymorphism might indeed be associated with colorectal cancer susceptibility, the present meta-analysis was performed. Materials and Methods: Data were collected from PubMed, Embase and Web of Science, with the last report up to Apr 03, 2015. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of any association. Results: A total of nine studies including 5,102 cases and 6,326 controls based on the search criteria were included and significant associations were found between ERCC5 rs17655 polymorphism CG vs GG overall (OR = 1.29, 95% CI =1.18~1.40) and in the dominant model (OR=1.23, 95% CI =1.13~1.33). On subgroup analysis by ethnicity and source of controls, the ERCC5 rs17655 polymorphism was found to correlate with the pathogenesis of colorectal cancer among Asians and Caucasians and with hospital-based populations. Conclusions: This meta-analysis suggests that the ERCC5 rs17655 polymorphism might contribute to genetic susceptibility to colorectal cancer.