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Prediction of Borrowing Flow of Electronic Resources Users in University Libraries Based on DEA Method.

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Title: Prediction of Borrowing Flow of Electronic Resources Users in University Libraries Based on DEA Method.
Authors: Huang, QingLan1 (AUTHOR) huangqinglan121@126.com, Zheng, Chengyong1 (AUTHOR), Li, Fan1 (AUTHOR), Huang, LvYin1 (AUTHOR)
Source: International Journal of High Speed Electronics & Systems. Oct2026, Vol. 35 Issue 5, p1-14. 14p.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 193950395
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Prediction of Borrowing Flow of Electronic Resources Users in University Libraries Based on DEA Method.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+High+Speed+Electronics+%26+Systems%22">International Journal of High Speed Electronics & Systems</searchLink>. Oct2026, Vol. 35 Issue 5, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193950395
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1142/S0129156425407119
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 1
    Titles:
      – TitleFull: Prediction of Borrowing Flow of Electronic Resources Users in University Libraries Based on DEA Method.
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          Name:
            NameFull: Huang, QingLan
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            NameFull: Zheng, Chengyong
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            NameFull: Li, Fan
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            NameFull: Huang, LvYin
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            – D: 01
              M: 10
              Text: Oct2026
              Type: published
              Y: 2026
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              Value: 01291564
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              Value: 35
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: International Journal of High Speed Electronics & Systems
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