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Comparing world regional sustainable supply chain finance using big data analytics: a bibliometric analysis.

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Title: Comparing world regional sustainable supply chain finance using big data analytics: a bibliometric analysis.
Authors: Tseng, Ming-Lang1, tsengminglang@gmail.com, Bui, Tat-Dat1, btdat1991@gmail.com, Lim, Ming K.2,3, ming.lim@cqu.edu.cn, Tsai, Feng Ming4, chucktsai@email.ntou.edu.tw, Tan, Raymond R.5, raymond.tan@dlsu.edu.ph
Source: Industrial Management & Data Systems; 2021, Vol. 121 Issue 3, p657-700, 44p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 149011094
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Comparing world regional sustainable supply chain finance using big data analytics: a bibliometric analysis.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=149011094
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      – Type: doi
        Value: 10.1108/IMDS-09-2020-0521
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      – Code: eng
        Text: English
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        PageCount: 44
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              Text: 2021
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              Value: 121
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