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
Download files
14
total views25
total downloads1
views this month6
downloads this month