Big data and predictive analytics and Malaysian micro‑, small and medium businesses

Journal article

Vachkova, M., Ghouri, A., Ashour, A., Isa, N.B.M. and Barnes, G. (2023). Big data and predictive analytics and Malaysian micro‑, small and medium businesses. SN Business & Economics. 3, p. 152. https://doi.org/10.1007/s43546-023-00528-y
AuthorsVachkova, M., Ghouri, A., Ashour, A., Isa, N.B.M. and Barnes, G.
Abstract

Innovative technologies such as big data and predictive analytics are facilitating a global revolution in operational management. The present study aims to investigate the extent of their adoption among micro-, small and medium enterprises. The context of choice is Malaysia—a growing economy hosting some of the relatively more technologically advanced enterprises in ASEAN union. The research plan of the present paper pursued three objectives. First, we aimed to identify the general rate of adoption of BDPA. Second, we explored the most common uses of this set of innovations in Malaysian micro-, small, and medium enterprises. Third, we strove
to abstract the antecedents and consequences of BDPA in micro-, small, and large frms in the manufacturing and service sectors. We discovered that BDPA are almost
never used to outsource suppliers or to optimise spending and purchasing. Conversely, the most frequent applications of BDPA are in customer relationship management and in warehouse and operations improvement. Moreover, we smaller frms
are more resilient to the challenges of adopting BDPA than their smaller and larger counterparts. Thus, this paper presents a snapshot of the BDPA dissemination in the
micro-, small and medium ecosystem in Malaysia in 2021, while exploring opportunities for the future development and dissemination of this set of innovations.

KeywordsMSMEs · Malaysia · Big data · Predictive analytics
Year2023
JournalSN Business & Economics
Journal citation3, p. 152
PublisherSpringer
ISSN2662-9399
Digital Object Identifier (DOI)https://doi.org/10.1007/s43546-023-00528-y
Web address (URL)https://link.springer.com/article/10.1007/s43546-023-00528-y
Publication dates
Print25 Jul 2023
Publication process dates
Accepted12 Jul 2023
Deposited27 Jul 2023
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