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Title: | Artificial Intelligence (AI), Machine Learning (ML) and Big Data Analytics' Impact on Frugal Digital Marketing Firms | Authors: | Brighton Nyagadza Abu Bashar Neo Ligaraba Theo Tsokota Colletor Tendeukai Chipfumbu Lovemore Chikazhe Hamilton Tamburayi Katsvairo Tawanda Taurai Maradze Charlene Muswaka York St John University, UK University of Bahrain, Bahrain University of the Witwatersrand, South Africa Midlands State University (MSU), Zimbabwe Midlands State University (MSU), Zimbabwe Chinhoyi University of Technology (CUT), Zimbabwe Marondera University of Agricultural Sciences and Technology (MUAST), Zimbabwe Marondera University of Agricultural Sciences and Technology (MUAST), Zimbabwe Marondera University of Agricultural Sciences and Technology (MUAST), Zimbabwe |
Keywords: | Disruptive technologies Digital technologies |
Issue Date: | 2025 | Publisher: | Emerald Publishing Limited | Abstract: | Disruptive 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. | URI: | https://cris.library.msu.ac.zw//handle/11408/6658 |
Appears in Collections: | Book Chapters |
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