• International Commerce and Information Review
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• v.7 no.2
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• pp.97-113
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• 2005

Korea has actively promoted the Comprehensive Plan for the e-Hub. The policies of Korean government could promote the e-business environment and market conditions in legal and infrastructure terms, but not much of business itself. The reason for this limited success in the e-Trade may result from the broken linkage between government policies and business strategies as well as the business and technical innovation. In this paper, we analyzes the more effective and economic solution for this recovery of broken link in terms of Metamediary. The most successful role of metamediary should compose of three functions - facilitator, collaborator and web service provider. Each of these function is clarified in more detail with the emphasis on the collaboration between the Universities and the government-supported corporations.

• International Journal of Contents
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• v.14 no.4
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• pp.51-56
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• 2018

This study was conducted to explore the relationship between personality characteristics and mood in the selection of media content. Using meta-analysis, this study analyzed past studies regarding media content selection in television program. The results of this research showed that the preference of a given media content would depend on the viewer's mood, personality characteristics and the interaction between personality characteristics and mood states. The secondary data of television programs supported the association.

• Information Systems Review
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• v.5 no.1
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• pp.97-111
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• 2003

With the spread of electronic commerce on the Internet, comparison shopping sites with agent technique are getting popular for the best shopping. However, most consumers are still spending much time to search for the best price through the sites because each of them may show a different price even for the same goods or a site does not show any information about specific goods. Additionally, the search for the best price of the goods like books and CDs may cause the system to be overloaded and the response time to be long due to an on-line real-time search. In this paper, we have designed and implemented a meta-search system for comparison shopping sites with a local database and memory cache to resolve the above problems. The proposed system collects and maintains the price information of popular goods among the comparison shopping sites using several software agents. The experimental results show that our system is an efficient meta-comparison shopping engine and reduces the latency of the response time with little overhead.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7583-7588
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• 2014

Background: Colorectal cancer (CRC) is a major cause of cancer-related death and cancer-related incidence worldwide. The potential of microRNA-21 (miR-21) as a biomarker for CRC detection has been studied in several studies. However, the results were inconsistent. Therefore, we conducted the present meta-analysis to systematically assess the diagnostic value of miR-21 for CRC. Materials and Methods: Using a random-effect model, the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were calculated to evaluate the diagnostic performance of miR-21 for CRC. A summary receiver operating characteristic (SROC) curve and an area under the curve (AUC) were also generated to assess the diagnosis accuracy of miR-21 for CRC. Q test and I2 statistics were used to assess between-study heterogeneity. Publication bias was evaluated by the Deeks' funnel plot asymmetry test. Results: A total of 986 CRC patients and 702 matched healthy controls from 8 studies were involved in the meta-analysis. The pooled results for SEN, SPE, PLR, NLR, DOR, and AUC were 57% (95%CI: 39%-74%), 87% (95%CI: 78%-93%), 4.4 (95%CI: 2.4-8.0), 0.49 (95%CI: 0.32-0.74), 9 (95%CI: 4-22), and 0.83 (95%CI: 0.79-0.86), respectively. Subgroup analyses further suggested that blood-based studies showed a better diagnostic accuracy compared with feces-based studies, indicating that blood may be a better matrix for miR-21 assay and CRC detection. Conclusions: Our findings suggest that miR-21 has a potential diagnostic value for CRC with a moderate level of overall diagnostic accuracy. Hence, it could be used as auxiliary means for the initial screening of CRC and avoid unnecessary colonoscopy, which is an invasive and expensive procedure.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.8B
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• pp.549-561
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• 2005

As Internet and network technologies have been developed, e-commerces are getting more complex and more various. This paper, for meta-data and data exchange between heterogeneous database systems, uses XML schema proposed in W3C, and XML schema can present meta-data and data of relational database system as XML document format which is structural. It supports various primitive data formats, so that it uses the structure which reflects adequately data formats which relational database system offered. However, current e-commerces use heterogeneous platforms, so difficulties that is mutual interchange and management exist. For the solution for these problems, a standard ontology which defines relations of product classifications and the standard of property expression and the location ontology which offers e-commerce's information about products are constructed. Applying these ontology information to search system, by offering information which customers need efficient search is performed. Combining these ontologies and product classification category information, called XMDR, this XMDR is introduced into product search system, so this paper proposes to construct ontology server method for efficient search.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.113-116
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• 2014

기술수용모델은 지난 20년 동안 많은 주제로 다루어지고 있으며 지금도 여전히 계속 연구되어 오고 있다. 메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 기회를 제공하는 통계적 통합 방법이다. 최근 스마트폰 관련 연구가 활발하게 이루어지고 있다. 이러한 시점에 기술수용모델을 기반으로 선행 요인에 관한 문헌적 고찰과 메타분석을 실시하였다. 본 연구는 2013년 이전 국내 학술지에 게재된 연구 중 기술수용모델의 인과관계를 설정한 총 106편의 연구논문을 대상으로 하였다. 메타분석의 결과, 선행 요인과 인지된 유용성의 경로에 가장 큰 효과 크기는 유희성으로 나타났다. 인지된 유용성과 유희성의 경로에 효과 크기는 0.536이었다. 그리고 선행 요인과 인지된 사용 용이성의 경로에 가장 큰 효과 크기는 자기 효능감으로 나타났다. 인지된 사용 용이성과 자기 효능감 경로에 효과 크기는 0.626이었다. 분석결과를 통해 이론적 실무적 시사점을 논의 하고자 한다.

• Journal of Society of Preventive Korean Medicine
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• v.13 no.3
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• pp.87-99
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• 2009

Objectives : The study was to examine the empirical evidence concerning the effects of massage intervention for the laboring women and to investigate the effect sizes related to the characteristics of intervention. Methods : Meta analysis was performed. A total of 11 trials related to massage intervention between 2000 and 2007 were reviewed. Results : Massage intervention showed a beneficial effect on length of labor(1st stage : U=46.75, p=0.00, 2nd stage : U=6.13, p=0.01), perception of childbirth experience(U=12.57, p=0.00), intensity of uterine contraction at the active(U=6.34, p=0.01) and the transition phases(U=24.83, p=0.00), and interval of uterine contraction at the active phase(U=4.83, p=0.03). Massage decreased systolic(U=10.81, p=0.00) and diastolic blood pressure at the transition phase(U=10.60, p=0.00). However, massage had no effect on subjective and objective labor pain and anxiety. No differences were found in effectiveness of massage according to characteristics of intervention(massage material, massager, and massage site) except for anxiety(QB=4.82, p=0.03) and diastolic blood pressure at the active phase by massage site(QB=4.52, p=0.03). Conclusions :We found that massage intervention for the laboring women had an empirical evidence on improving perception of childbirth experience and shortening length of labor. These results should be interpreted with caution due to the lack of studies. More full-scale randomized clinical trials with reliable designs are recommended to further warrant the effectiveness of massage.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.67-79
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• 2013

A meta-analysis is a statistical literature synthesis method that provides the opportunity to view the research context by combining and analyzing the quantitative results of many empirical studies. The technology acceptance model (TAM) has been the subjects of a great deal of MIS research in the last two decades and now also has been continuously studied. Recently, the convergence of knowledge information society and information telecommunication technologies has a rapid impact on politics, economics and various fields. The biggest issue in the information communication and information systems fields is smart. Therefore, we conducted a meta-analysis research on the behavioral intention of smart phone users based on technology acceptance model. Also, this study was targeted a total of 50 research papers that are setting up the causal relationship in TAM among the research papers published in domestic academic journals since 2005. The result of the meta analysis, showed that the effect size was 0.48 in the path from perceived usefulness to behavioral intention, it showed that the effect size was 0.46 in the path from perceived ease of use to behavioral intention. And, it showed that the effect size was 0.46 in the path from perceived ease of use to perceived usefulness. Also, it showed that the effect size was 0.61 in the path from attitude to behavioral intention. Based on the results, it was discussed the difference through comparative analysis with previous research.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.2
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• pp.408-414
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• 2016

This study will find meaningful independent variables for criterion variables that affect influencing on purchase intention in social network service, on the basis of the results of a meta-analysis. We reviewed a total of 29 studies related purchase intention in social network service published in Korea journals between 2005 and 2015, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study. The result of the meta-analysis might be summarized that the highest effect size (r = .455) is the path from the satisfaction to the purchase intention. The second biggest effect size (r = .398) was found in the path between the word of mouth to the purchase intention. Next, the effect size (r = .386) in the path from the trust to the purchase intention showed very lower. Finally, the result of the meta analysis can be concluded that lower effect size (r = .342) Further, the predictive variables of this study have power of explanation about 22%-12% or more. Based on these findings, several theoretical and practical implications were suggested and discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.147-148
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• 2017

빅데이터 분석은 데이터베이스에 잘 정리된 정형 데이터뿐 아니라 인터넷, 소셜 네트워크 서비스, 모바일 환경에서 생성되는 웹 문서, 이메일, 소셜 데이터 등 비정형 데이터를 효과적으로 분석하는 기술을 말한다. 메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 수 있는 기회를 제공하는 통계적 통합 방법이다. 전자상거래 연구에서 혁신확산에 영향을 미치는 요인으로 상대적 이점, 적합성, 복잡성, 시험 가능성, 관찰 가능성, 편리성 그리고 커뮤니케이션 채널을 외부 요인으로 설정된 연구를 대상으로 하고자 한다. 다음으로 국내 주요 학회지에 게재된 혁신확산이론 관련연구에서 어떠한 요인들을 사용하고 있고 또한 이러한 외부요인들이 종속변수에 어느 정도의 설명력을 가지는지를 메타분석을 통해 알아보고자 한다. 이러한 연구모델을 바탕으로 학문적 실무적 의의를 논의하고자 한다.