Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/6658
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dc.contributor.authorBrighton Nyagadzaen_US
dc.contributor.authorAbu Basharen_US
dc.contributor.authorNeo Ligarabaen_US
dc.contributor.authorTheo Tsokotaen_US
dc.contributor.authorColletor Tendeukai Chipfumbuen_US
dc.contributor.authorLovemore Chikazheen_US
dc.contributor.authorHamilton Tamburayi Katsvairoen_US
dc.contributor.authorTawanda Taurai Maradzeen_US
dc.contributor.authorCharlene Muswakaen_US
dc.date.accessioned2025-07-28T14:45:18Z-
dc.date.available2025-07-28T14:45:18Z-
dc.date.issued2025-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/6658-
dc.description.abstractDisruptive technologies have changed the way that firms model their business approach. The aim of this study is to analyse the influence of novel digital technologies (artificial intelligence [AI] and machine learning [ML]) and big data analytics on the digital transformation of digital marketing firms. This research study is based on a review of the extant literature, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Gaps in the extant research literature were identified and emerged that are directly linked with the impact of AI, ML and big data analytics on digital transformation for digital marketing firms. Potential opportunities for digital transformation in digital firms were also unlocked, as well as related challenges. The research informs practice and policy for the current trends and provides future research directions. The study was limited to the application of the PRISMA methodology, which is incapable of fully providing testable results for a given study. Complementary cross-sectional research studies using the same methodology in different areas of study with the same topic can be applied to check for relevancy and applicability. This study contributes to digital marketing, information communication technologies, information systems practice and theory building. In addition, it provides researchers with an agenda for future digital transformation research directions.en_US
dc.language.isoenen_US
dc.publisherEmerald Publishing Limiteden_US
dc.subjectDisruptive technologiesen_US
dc.subjectDigital technologiesen_US
dc.titleArtificial Intelligence (AI), Machine Learning (ML) and Big Data Analytics' Impact on Frugal Digital Marketing Firmsen_US
dc.typebook parten_US
dc.relation.publicationDisruptive Frugal Digital Innovation in Africa by Brighton Nyagadza; Abu Basharen_US
dc.identifier.doihttps://doi.org/10.1108/978-1-83549-568-120251012-
dc.contributor.affiliationYork St John University, UKen_US
dc.contributor.affiliationUniversity of Bahrain, Bahrainen_US
dc.contributor.affiliationUniversity of the Witwatersrand, South Africaen_US
dc.contributor.affiliationMidlands State University (MSU), Zimbabween_US
dc.contributor.affiliationMidlands State University (MSU), Zimbabween_US
dc.contributor.affiliationChinhoyi University of Technology (CUT), Zimbabween_US
dc.contributor.affiliationMarondera University of Agricultural Sciences and Technology (MUAST), Zimbabween_US
dc.contributor.affiliationMarondera University of Agricultural Sciences and Technology (MUAST), Zimbabween_US
dc.contributor.affiliationMarondera University of Agricultural Sciences and Technology (MUAST), Zimbabween_US
dc.relation.isbn978-1-83549-568-1en_US
item.openairetypebook part-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.fulltextWith Fulltext-
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