The Transition from Small Data to Big Data Underpinned by Structuration Theory.
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| Title: | The Transition from Small Data to Big Data Underpinned by Structuration Theory. |
|---|---|
| Authors: | Tungela, Nomawethu1, Nyikana, Wandisa1, Iyamu, Tiko1 IYAMUT@cput.ac.za |
| Source: | Journal of Logistics, Informatics & Service Science. 2026, Vol. 13 Issue 5, p49-66. 18p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 193600756 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193600756 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.33168/JLISS.2026.0504 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 49 Titles: – TitleFull: The Transition from Small Data to Big Data Underpinned by Structuration Theory. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tungela, Nomawethu – PersonEntity: Name: NameFull: Nyikana, Wandisa – PersonEntity: Name: NameFull: Iyamu, Tiko IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 24092665 Numbering: – Type: volume Value: 13 – Type: issue Value: 5 Titles: – TitleFull: Journal of Logistics, Informatics & Service Science Type: main |
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