The DOI matches its Crossref record.
Understanding the Role of Artificial Intelligence in Personalized Engagement Marketing
Abstract
This article explores the role of artificial intelligence (AI) in aiding personalized engagement marketing—an approach to create, communicate, and deliver personalized offerings to customers. It proposes that consumers are ready for a new journey in which AI is a tool for endless options and information that are narrowed and curated in a personalized way. It also provides predictions for managers regarding the AI-driven environment on branding and customer management practices in both developed and developing countries.
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A strategic framework for artificial intelligence in marketing
Huang, M.-H., & Rust, R. T. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00749-9 · Cited by 2,059
“…et al. 2020), machine learning prediction for mobile marketing personalization (Tong et al. 2020), in-store technology (e.g., robots, smart displays, or augmented reality) for convenience or social presence (Grewal et al. 2020), and AI for personalized customer engagement (Kumar et al. 2019).”
BackgroundMikalef, P., & Gupta, M. (2021) · Information & Management · doi:10.1016/j.im.2021.103434 · Cited by 1,700
Consumers and artificial intelligence: An experiential perspective
Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021) · Journal of Marketing · doi:10.1177/0022242920953847 · Cited by 1,547
“Firms leverage the predicting capability of AI to create ultra-customized offerings and maximize engagement, relevance, and satisfaction (Kumar et al. 2019).”
Artificial intelligence (AI) applications for marketing: A literature-based study
Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022) · International Journal of Intelligent Networks · doi:10.1016/j.ijin.2022.08.005 · Cited by 1,364
Artificial intelligence in marketing: Systematic review and future research direction
Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2020.100002 · Cited by 905
Metadata
- Authors
- Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J.
- Affiliations
- Georgia State University (US)
- University of Virginia (US)
- Northwestern University (US)
- Venue
- California Management Review
- Publisher
- SAGE Publications
- Published
- 2019-07-04
- Volume
- 61
- Issue
- 4
- Pages
- 135-155
- ISSN
- 0008-1256 (ISSN-L)
- 2162-8564
- OpenAlex
- W2953773016
- Cited by
- 797
- References
- 0
- Citations by year
- 2026: 136 · 2025: 154 · 2024: 208 · 2023: 111 · 2022: 76 · 2021: 73 · 2020: 33 · 2019: 4
- FWCI
- 21.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- California Management Review (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- artificial intelligence, personalized marketing, customer engagement, personalization, customer management, branding, consumer behavior, information curation, AI-driven marketing
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