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A textual data-driven method to measure the capabilities and core paths of different digital technologies to improve supply chain resilience.

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Title: A textual data-driven method to measure the capabilities and core paths of different digital technologies to improve supply chain resilience.
Authors: Lei, Zhimei1 (AUTHOR), Liu, Bingbing1 (AUTHOR), Lim, Ming Kim2,3 (AUTHOR), Lau, Yui-yip4 (AUTHOR) yuiyip.lau@cpce-polyu.edu.hk
Source: International Journal of Logistics: Research & Applications. Dec2025, Vol. 28 Issue 12, p2034-2067. 34p.
Database: Business Source Ultimate
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An: 189730973
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PubType: Academic Journal
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  Data: A textual data-driven method to measure the capabilities and core paths of different digital technologies to improve supply chain resilience.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Logistics%3A+Research+%26+Applications%22">International Journal of Logistics: Research & Applications</searchLink>. Dec2025, Vol. 28 Issue 12, p2034-2067. 34p.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/13675567.2024.2446247
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      – Code: eng
        Text: English
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        PageCount: 34
        StartPage: 2034
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      – TitleFull: A textual data-driven method to measure the capabilities and core paths of different digital technologies to improve supply chain resilience.
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            NameFull: Lei, Zhimei
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            NameFull: Liu, Bingbing
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            NameFull: Lim, Ming Kim
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              Text: Dec2025
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              Y: 2025
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              Value: 28
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              Value: 12
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