• Title/Summary/Keyword: 구독료

Search Result 14, Processing Time 0.019 seconds

A Study on the Quality Evaluation of Scholarly Web Databases Focused on NDSL, PubMed, Scopus, and Web of Science (학술 웹 데이터베이스의 품질 비교 평가 : NDSL, P ubMed, Scopus와 Web of Science를 중심으로)

  • Kim, Sang-Jun
    • Journal of Information Management
    • /
    • v.36 no.3
    • /
    • pp.127-165
    • /
    • 2005
  • This study is focused on the quality of the Web databases which has been produced in science. For the quality evaluation of NDSL, PubMed, Scopus, and WoS, 10 evaluating criteria are developed on the basis of literature review. The evaluation results show that NDSL and PubMed are superior in the currentness and cost. Scopus and WoS are superior in the information of citing and the analysis tool. It is needed for purchasing, user training, and library service based on the above evaluation results.

A Study on the Influencing Factors from Use Intention &Flow of Netflix Users (넷플릭스 이용자의 이용 의도와 몰입에 이르는 영향요인 연구)

  • Li, Ting-Ting;Bae, Seung-Ju;Lee, Sang-Ho
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.27 no.4
    • /
    • pp.47-64
    • /
    • 2022
  • This study attempted to identify the effect of personal innovation, perceived ease of use and perceived usefulness on the intention to use for users of OTT service platform Netflix, and finally affects flow and addiction. According to the research results, personal innovation has a positive impact on compatibility, simplicity and perceived usefulness, simplicity and perceived usefulness have a positive effect on use intention, compatibility and use intention have a positive effect on flow, and flow has a positive effect on addiction. This study is meaningful in that it can improve the understanding of user intention based on Netflix's new subscription standard and provide basic data that can be used for basic research on OTT service users' flow and addiction and development strategies of OTT content providers.

A Study on A Model Sample for Guidance System for Copyright of Domestic Journals and Open Access Policy (국내 학술지 저작권 및 오픈액세스 정책 안내시스템 모형 연구)

  • Kim, Gyuhwan
    • Journal of Korean Library and Information Science Society
    • /
    • v.47 no.4
    • /
    • pp.265-288
    • /
    • 2016
  • The study aimed to suggest a model sample for guidance system for copyright of domestic journals and open access policy. Toward this end, analyses were conducted to examine copyright of domestic journals and open access environment. As a result of analyses, it turned out that 33.8% of domestic journals had 'regulations on ownership of rights to papers published in journals,' and that the subject to ownership of rights to papers published in domestic journals accounted for 28.8%, which was the highest rate. Of domestic journals, 34% charged a subscription fee, and they were toll access journals, and 56% were free access journals. As for system examples of guide system for copyright of foreign journals and open access policy, analyses were conducted to examine and investigate SHERPA/RoMEO in the U.K. and SCPJ in Japan and generate considerations at a time of domestic application. What needs to be taken into account is that overseas examples are focused on collecting and introducing self-archiving policy by authors for academic journals, so there are limitations in offering information including open access publication policy for domestic journals. Based on the analytical result, the study designated the purpose, direction and four steps that need to be considered at a time of development of guide system models for copyright and open access policy for domestic journals before suggestion of the basic direction and operational methods by stage.

An Analysis of the Comparative Importance of Systematic Attributes for Developing an Intelligent Online News Recommendation System: Focusing on the PWYW Payment Model (지능형 온라인 뉴스 추천시스템 개발을 위한 체계적 속성간 상대적 중요성 분석: PWYW 지불모델을 중심으로)

  • Lee, Hyoung-Joo;Chung, Nuree;Yang, Sung-Byung
    • Journal of Intelligence and Information Systems
    • /
    • v.24 no.1
    • /
    • pp.75-100
    • /
    • 2018
  • Mobile devices have become an important channel for news content usage in our daily life. However, online news content readers' resistance to online news monetization is more serious than other digital content businesses, such as webtoons, music sources, videos, and games. Since major portal sites distribute online news content free of charge to increase their traffics, customers have been accustomed to free news content; hence this makes online news providers more difficult to switch their policies on business models (i.e., monetization policy). As a result, most online news providers are highly dependent on the advertising business model, which can lead to increasing number of false, exaggerated, or sensational advertisements inside the news website to maximize their advertising revenue. To reduce this advertising dependencies, many online news providers had attempted to switch their 'free' readers to 'paid' users, but most of them failed. However, recently, some online news media have been successfully applying the Pay-What-You-Want (PWYW) payment model, which allows readers to voluntarily pay fees for their favorite news content. These successful cases shed some lights to the managers of online news content provider regarding that the PWYW model can serve as an alternative business model. In this study, therefore, we collected 379 online news articles from Ohmynews.com that has been successfully employing the PWYW model, and analyzed the comparative importance of systematic attributes of online news content on readers' voluntary payment. More specifically, we derived the six systematic attributes (i.e., Type of Article Title, Image Stimulation, Article Readability, Article Type, Dominant Emotion, and Article-Image Similarity) and three or four levels within each attribute based on previous studies. Then, we conducted content analysis to measure five attributes except Article Readability attribute, measured by Flesch readability score. Before conducting main content analysis, the face reliabilities of chosen attributes were measured by three doctoral level researchers with 37 sample articles, and inter-coder reliabilities of the three coders were verified. Then, the main content analysis was conducted for two months from March 2017 with 379 online news articles. All 379 articles were reviewed by the same three coders, and 65 articles that showed inconsistency among coders were excluded before employing conjoint analysis. Finally, we examined the comparative importance of those six systematic attributes (Study 1), and levels within each of the six attributes (Study 2) through conjoint analysis with 314 online news articles. From the results of conjoint analysis, we found that Article Readability, Article-Image Similarity, and Type of Article Title are the most significant factors affecting online news readers' voluntary payment. First, it can be interpreted that if the level of readability of an online news article is in line with the readers' level of readership, the readers will voluntarily pay more. Second, the similarity between the content of the article and the image within it enables the readers to increase the information acceptance and to transmit the message of the article more effectively. Third, readers expect that the article title would reveal the content of the article, and the expectation influences the understanding and satisfaction of the article. Therefore, it is necessary to write an article with an appropriate readability level, and use images and title well matched with the content to make readers voluntarily pay more. We also examined the comparative importance of levels within each attribute in more details. Based on findings of two studies, two major and nine minor propositions are suggested for future empirical research. This study has academic implications in that it is one of the first studies applying both content analysis and conjoint analysis together to examine readers' voluntary payment behavior, rather than their intention to pay. In addition, online news content creators, providers, and managers could find some practical insights from this research in terms of how they should produce news content to make readers voluntarily pay more for their online news content.