The dark side of artificial intelligence in marketing: meta-analytics review
Article
| Article Title | The dark side of artificial intelligence in marketing: meta-analytics review |
|---|---|
| ERA Journal ID | 19845 |
| Article Category | Article |
| Authors | Barari, Mojtaba, Ferm, Lars-Erik Casper, Quach, Sara, Thaichon, Park and Ngo, Liem |
| Journal Title | Marketing Intelligence and Planning |
| Journal Citation | 42 (7), pp. 1234-1256 |
| Number of Pages | 23 |
| Year | 2024 |
| Publisher | Emerald |
| Place of Publication | United Kingdom |
| ISSN | 0263-4503 |
| 1355-2538 | |
| 1758-8049 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1108/MIP-09-2023-0494 |
| Web Address (URL) | https://www.emerald.com/insight/content/doi/10.1108/MIP-09-2023-0494/full/html |
| Abstract | Purpose Design/methodology/approach Findings Practical implications Originality/value |
| Keywords | Artificial intelligence; Privacy; Perceived risk; Customer alienation; Uniqueness neglect; Meta-analysis |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 4602. Artificial intelligence |
| Public Notes | The accessible file is the accepted version of the paper. Please refer to the URL for the published version. |
| Byline Affiliations | University of Newcastle |
| University of Queensland | |
| Griffith University | |
| University of Southern Queensland | |
| University of New South Wales |
https://research.usq.edu.au/item/z8466/the-dark-side-of-artificial-intelligence-in-marketing-meta-analytics-review
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