The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Personalized mobile marketing strategies
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Citations
Cites
Evolving to a New Dominant Logic for Marketing
Vargo, S. L., & Lusch, R. F. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.1.24036 · Cited by 14,779
Artificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978
Digital marketing: a framework, review, and research agenda
Kannan, P. K., & Li, H. “. (2017) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.11.006 · Cited by 1,707
Lamberton, C., & Stephen, A. T. (2016) · Journal of Marketing · doi:10.1509/jm.15.0415 · Cited by 1,127 · cited 1×
“…personalized mobile marketing complements prior efforts that synthesize specific topics in mobile marketing (Grewal et al. 2016; Shankar and Balasubramanian 2009; Shankar et al. 2010) or discuss mobile as a topic in a broader digital context (Kannan and Li 2017; Lamberton and Stephen 2016).”
BackgroundAguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2014.09.005 · Cited by 868 · cited 1×
“Thus, firms should use the personal information in a strategic manner to balance such a personalization-privacy paradox (Aguirre et al. 2015; Grewal et al. 2017).”
BackgroundOn the Go: how mobile shopping affects customer purchase behavior.
Wang, R. J.-H., Malthouse, E. C., & Krishnamurthi, L. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.01.002 · Cited by 559
Man Versus Machine: Resisting Automation in Identity-Based Consumer Behavior
Leung, E., Paolacci, G., & Puntoni, S. (2018) · Journal of Marketing Research · doi:10.1177/0022243718818423 · Cited by 285
An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet
Ghose, A., & Han, S. P. (2011) · Management Science · doi:10.1287/mnsc.1110.1350 · Cited by 282
News Media Channels: Complements or Substitutes? Evidence from Mobile Phone Usage
Xu, J., Forman, C., Kim, J. B., & Van Ittersum, K. (2014) · Journal of Marketing · doi:10.1509/jm.13.0198 · Cited by 180 · cited 1×
“Xu et al. (2014) empirically examined customers ’ response to the introduction of the mobile apps of Fox News.”
BackgroundWang, Q., Li, B., & Singh, P. V. (2018) · Information Systems Research · doi:10.1287/isre.2017.0735 · Cited by 162
Cited by
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
“…Marinova 2018), analytics for consumer value in healthcare (Agarwal 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),…”
BackgroundPersonalization in personalized marketing: Trends and ways forward
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022) · Psychology & Marketing · doi:10.1002/mar.21670 · Cited by 595
Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y. (2023) · Sage Open · doi:10.1177/21582440231210759 · Cited by 244
Bawack, R. E., Wamba, S. F., & Carillo, K. D. A. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102309 · Cited by 240
Song, X., Xu, B., & Zhao, Z. (2022) · Information & Management · doi:10.1016/j.im.2022.103595 · Cited by 192
Self-citationBelanche, D., Flavián, M., & Pérez-Rueda, A. (2020) · Sustainability · doi:10.3390/su12104275 · Cited by 187
The personalization–privacy paradox in the attention economy
Cloarec, J. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120299 · Cited by 112
Khan, A., Abdul Hamid, A. B., Saad, N. M., Hussain, Z., & Rehman Arif, A. (2023) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v13-i9/18895 · Cited by 32
Saleh, M. I. (2025) · Journal of Travel Research · doi:10.1177/00472875231214727 · Cited by 15
Metadata
- Authors
- Tong, S., Luo, X., & Xu, B.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2019-10-16
- Volume
- 48
- Issue
- 1
- Pages
- 64-78
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W2980746347
- Cited by
- 322
- References
- 11
- FWCI
- 56.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
