The relationship between architecture, social, law and market in determine challenges of big data analysis for Malaysia SMEs
Year of publication: |
2022
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Authors: | Min Hooi Chuah ; Ramayah Thurusamry |
Published in: |
Cogent business & management. - London : Taylor & Francis, ISSN 2331-1975, ZDB-ID 2837523-3. - Vol. 9.2022, 1, Art.-No. 2021835, p. 1-11
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Subject: | big data | business analysis | Malaysia | partial least square | SMEs | KMU | SME | Big Data | Big data | Data Mining | Data mining |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1080/23311975.2021.2021835 [DOI] hdl:10419/288276 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
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