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The role of data privacy in marketing
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“the collection and utilization of consumer data by AI and analytical algorithms via social media give rise to serious issues regarding invasion of consumers' privacy, fraud, offensive or harmful marketing appeals, lack of transparency, information leakage and identity theft (Martin & Murphy, 2017).”
From Setting the future of digital and social media marketing research: Perspectives and research propositions (2021) · cites this paper as Martin & Murphy, 2017
In the citing paper
“Consumer concerns regarding data privacy, and their ability to trust brands and platforms are not new (for a review on data privacy see Martin and Murphy 2017).”
From The future of social media in marketing (2020) · cites this paper as Martin and Murphy 2017
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“I agree with Martin and Murphy (2017) that B marketing practice using consumer data and analytics has advanced at a more rapid pace than has marketing academic scholarship.”
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Metadata
- Authors
- Martin, K. D., & Murphy, P. E.
- Affiliations
- Colorado State University (US)
- University of Notre Dame (US)
- Corresponding author
- Martin, Kelly D.
- ORCID
- Martin, Kelly D.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2016-09-22
- Volume
- 45
- Issue
- 2
- Pages
- 135-155
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W2521701804
- Semantic Scholar
- 0c0d9a7f8061ce76a83d14a7c78387569847d56b
- Cited by
- 902
- References
- 105
- Citations by year
- 2026: 196 · 2025: 162 · 2024: 116 · 2023: 90 · 2022: 89 · 2021: 83 · 2020: 79 · 2019: 46 · 2018: 25 · 2017: 13 · 2016: 3
- FWCI
- 82.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Academy of Marketing Science (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Keywords
- data privacy, marketing, economics of privacy, consumer privacy, privacy ethics, privacy law, stakeholder impact
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