Search (6 results, page 1 of 1)

0.04752116 = product of:
  0.09504232 = sum of:
    0.09504232 = sum of:
      0.052698605 = weight(_text_:libraries in 2680) [ClassicSimilarity], result of:
        0.052698605 = score(doc=2680,freq=4.0), product of:
          0.1711139 = queryWeight, product of:
            3.2850544 = idf(docFreq=4499, maxDocs=44218)
            0.052088603 = queryNorm
          0.30797386 = fieldWeight in 2680, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.2850544 = idf(docFreq=4499, maxDocs=44218)
            0.046875 = fieldNorm(doc=2680)
      0.042343717 = weight(_text_:22 in 2680) [ClassicSimilarity], result of:
        0.042343717 = score(doc=2680,freq=2.0), product of:
          0.18240541 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052088603 = queryNorm
          0.23214069 = fieldWeight in 2680, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=2680)
  0.5 = coord(1/2)

Abstract

Purpose - This study provides evidence on the actual information-seeking behaviour of students in a digital scholarly environment, not what they thought they did. It also compares student information-seeking behaviour with that of other academic communities, and, in some cases, for practitioners. Design/methodology/approach - Data were gathered as part of CIBER's ongoing Virtual Scholar programme. In particular log data from two digital journals libraries, Blackwell Synergy and OhioLINK, and one e-book collection (Oxford Scholarship Online) are utilized. Findings - The study showed a distinctive form of information-seeking behaviour associated with students and differences between them and other members of the academic community. For example, students constituted the biggest users in terms of sessions and pages viewed, and they were more likely to undertake longer online sessions. Undergraduates and postgraduates were the most likely users of library links to access scholarly databases, suggesting an important "hot link" role for libraries. Originality/value - Few studies have focused on the actual (rather than perceived) information-seeking behaviour of students. The study fills that gap.

Date

23. 2.2009 17:22:41

0.031680778 = product of:
  0.063361555 = sum of:
    0.063361555 = sum of:
      0.035132404 = weight(_text_:libraries in 4052) [ClassicSimilarity], result of:
        0.035132404 = score(doc=4052,freq=4.0), product of:
          0.1711139 = queryWeight, product of:
            3.2850544 = idf(docFreq=4499, maxDocs=44218)
            0.052088603 = queryNorm
          0.2053159 = fieldWeight in 4052, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.2850544 = idf(docFreq=4499, maxDocs=44218)
            0.03125 = fieldNorm(doc=4052)
      0.028229147 = weight(_text_:22 in 4052) [ClassicSimilarity], result of:
        0.028229147 = score(doc=4052,freq=2.0), product of:
          0.18240541 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052088603 = queryNorm
          0.15476047 = fieldWeight in 4052, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=4052)
  0.5 = coord(1/2)

Abstract

Purpose The purpose of this paper is to investigate the relationship between internet filtering, emotions and information-seeking behaviour. Design/methodology/approach In total, 15 postgraduate students at an Iranian university participated in the study which involved a questionnaire, search tasks with think aloud narratives, and interviews. Findings Internet content filtering results in some changes in the information-seeking behaviour of users. Users who face website blocking use a variety of methods to bypass filtering, mostly by using anti-filter software. Filtering encourages users to use channels such as social networking services to share resources and it increases the use of library material by some of the users. Users who face filtering during their search are more likely to visit more pages of results and click on more hits in the results, unlike users who do not experience filtering who rarely go past the first page. Blocking users' access to content stimulates their curiosity and they become more determined to access the content. In terms of the affective aspect, filtering causes several negative emotions (e.g. anger, disgust, sadness and anxiety) and the main reason for these emotions is not the inability to access information but the feeling of being controlled and not having freedom. Research limitations/implications The study was limited to a small number of postgraduate students in social sciences and not generalisable to all user groups. The implication is that in countries where filtering is used, libraries can play an important role in serving users and reducing users negative emotions, especially if libraries can take advantage of technologies such as social media for their services. Originality/value This is first study to address the effects of internet filtering on information-seeking behaviour and emotions. The study shows that internet filtering causes negative emotions and results in some changes in information-seeking behaviour.

Date

20. 1.2015 18:30:22

0.007763238 = product of:
  0.015526476 = sum of:
    0.015526476 = product of:
      0.031052953 = sum of:
        0.031052953 = weight(_text_:libraries in 5605) [ClassicSimilarity], result of:
          0.031052953 = score(doc=5605,freq=2.0), product of:
            0.1711139 = queryWeight, product of:
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.052088603 = queryNorm
            0.18147534 = fieldWeight in 5605, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5605)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Purpose - This article presents the early findings of an exploratory deep log analysis of journal usage on OhioLINK, conducted as part of the MaxData project funded by the US Institute of Museum and Library Services. OhioLINK, the original "big deal", provides a single digital platform of nearly 6,000 full-text journal for more than 600,000 people in the state of Ohio. The purpose of the paper is not only to present findings from the deep log analysis of journal usage on OhioLINK, but, arguably more importantly, to try test a new method of analysing online information user behaviour - deep log analysis. Design/methodology/approach - The raw server logs were obtained for the period June 2004 to December 2004. For this exploratory study one month (October) of the on-campus usage logs and seven months of the off-campus transaction logs were analysed. Findings - During this period approximately 1,215,000 items were viewed on campus in October 2004 and 1,894,000 items viewed off campus between June and December 2004. The paper presents a number of usage analyses including: number of journals used, titles of journals used, use over time, a returnee analysis and a special analysis of subject, date and method of access. Practical implications - The research findings help libraries evaluate the efficiency of big deal and one-stop shopping for scholarly journals and also investigate their users' information seeking behaviours. Originality/value - The research is a part of efforts to test the applications of a new methodology, deep log analysis, for use and user studies. It also represents the most substantial independent analysis of, possibly, the most important and significant of the journal big deals ever conducted.

0.007763238 = product of:
  0.015526476 = sum of:
    0.015526476 = product of:
      0.031052953 = sum of:
        0.031052953 = weight(_text_:libraries in 214) [ClassicSimilarity], result of:
          0.031052953 = score(doc=214,freq=2.0), product of:
            0.1711139 = queryWeight, product of:
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.052088603 = queryNorm
            0.18147534 = fieldWeight in 214, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.0390625 = fieldNorm(doc=214)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The article presents the early findings of an exploratory deep log analysis of journal usage on OhioLINK, conducted as part of the MaxData project, funded by the U.S. Institute of Museum and Library Services. OhioLINK, the original Big Deal, provides a single digital platform of nearly 6,000 full-text journals for more than 600,000 people; for the purposes of the analysis, the raw logs were obtained from OhioLINK for the period June 2004 to December 2004. During this period approximately 1,215,000 items were viewed on campus in October 2004 and 1,894,000 items viewed off campus between June and December 2004. This article provides an analysis of the age of material that users consulted. From a methodological point of view OhioLINK offered an attractive platform to conduct age of publication usage studies because it is one of the oldest e-journal libraries and thus offered a relatively long archive and stable platform to conduct the studies. The project sought to determine whether the subject, the search approach adopted, and the type of journal item viewed (contents page, abstract, full-text article, etc.) was a factor in regard to the age of articles used.

0.007763238 = product of:
  0.015526476 = sum of:
    0.015526476 = product of:
      0.031052953 = sum of:
        0.031052953 = weight(_text_:libraries in 990) [ClassicSimilarity], result of:
          0.031052953 = score(doc=990,freq=2.0), product of:
            0.1711139 = queryWeight, product of:
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.052088603 = queryNorm
            0.18147534 = fieldWeight in 990, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.0390625 = fieldNorm(doc=990)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The article employs deep log analysis (DLA) techniques, a more sophisticated form of transaction log analysis, to demonstrate what usage data can disclose about information seeking behaviour of virtual scholars - academics, and researchers. DLA works with the raw server log data, not the processed, pre-defined and selective data provided by journal publishers. It can generate types of analysis that are not generally available via proprietary web logging software because the software filters out relevant data and makes unhelpful assumptions about the meaning of the data. DLA also enables usage data to be associated with search/navigational and/or user demographic data, hence the name 'deep'. In this connection the usage of two digital journal libraries, those of EmeraldInsight, and Blackwell Synergy are investigated. The information seeking behaviour of nearly three million users is analyzed in respect to the extent to which they penetrate the site, the number of visits made, as well as the type of items and content they view. The users are broken down by occupation, place of work, type of subscriber ("Big Deal", non-subscriber, etc.), geographical location, type of university (old and new), referrer link used, and number of items viewed in a session.

0.007763238 = product of:
  0.015526476 = sum of:
    0.015526476 = product of:
      0.031052953 = sum of:
        0.031052953 = weight(_text_:libraries in 1911) [ClassicSimilarity], result of:
          0.031052953 = score(doc=1911,freq=2.0), product of:
            0.1711139 = queryWeight, product of:
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.052088603 = queryNorm
            0.18147534 = fieldWeight in 1911, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1911)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Purpose - This article aims to focus on usage data in respect to full-text downloads of journal articles, which is considered an important usage (satisfaction) metric by librarians and publishers. The purpose is to evaluate the evidence regarding full-text viewing by pooling together data on the full-text viewing of tens of thousands of users studied as part of a number of investigations of e-journal databases conducted during the Virtual Scholar research programme. Design/methodology/approach - The paper reviews the web logs of a number of electronic journal libraries including OhioLINK and ScienceDirect using Deep Log Analysis, which is a more sophisticated form of transactional log analysis. The frequency, characteristics and diversity of full-text viewing are examined. The article also features an investigation into the time spent online viewing full-text articles in order to get a clearer understanding of the significance of full-text viewing, especially in regard to reading. Findings - The main findings are that there is a great deal of variety amongst scholars in their full-text viewing habits and that a large proportion of views are very cursory in nature, although there is survey evidence to suggest that reading goes on offline. Originality/value - This is the first time that full-text viewing evidence is studied on such a large scale.