The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Application of data mining techniques in customer relationship management: A literature review and classification
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Citations
Cites
Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
Zhang, G., Y. Hu, M., Eddy Patuwo, B., & C. Indro, D. (1999) · European Journal of Operational Research · doi:10.1016/s0377-2217(98)00051-4 · Cited by 677
Teo, T. S. H., Devadoss, P., & Pan, S. L. (2006) · Decision Support Systems · doi:10.1016/j.dss.2006.01.007 · Cited by 167
An analysis of customer retention and insurance claim patterns using data mining: a case study
Smith, K. A., Willis, R. J., & Brooks, M. (2000) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2600941 · Cited by 137
Mining class outliers: concepts, algorithms and applications in CRM
He, Z., Xu, X., Huang, J. Z., & Deng, S. (2004) · Expert Systems with Applications · doi:10.1016/j.eswa.2004.07.002 · Cited by 79
Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models
Prinzie, A., & Van den Poel, D. (2006) · European Journal of Operational Research · doi:10.1016/j.ejor.2004.05.004 · Cited by 75 · cited 1×
“Up/Cross selling refers to promotion activities which aim at augmenting the number of associated or closely related services that a customer uses within a firm (Prinzie & Poel, 2006).”
Background
Cited by
How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study
Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.12.031 · Cited by 1,905
Ngai, E. W. T., Hu, Y., Wong, Y. H., Chen, Y., & Sun, X. (2011) · Decision Support Systems · doi:10.1016/j.dss.2010.08.006 · Cited by 1,361
Self-citationBig data analytics in E-commerce: a systematic review and agenda for future research
Akter, S., & Wamba, S. F. (2016) · Electronic Markets · doi:10.1007/s12525-016-0219-0 · Cited by 684
A survey towards an integration of big data analytics to big insights for value-creation
Saggi, M. K., & Jain, S. (2018) · Information Processing & Management · doi:10.1016/j.ipm.2018.01.010 · Cited by 494
An up-to-date comparison of state-of-the-art classification algorithms
Zhang, C., Liu, C., Zhang, X., & Almpanidis, G. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.04.003 · Cited by 440
Brave New World? On AI and the Management of Customer Relationships
Libai, B., Bart, Y., Gensler, S., Hofacker, C. F., Kaplan, A., Kötterheinrich, K., & Kroll, E. B. (2020) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2020.04.002 · Cited by 358
Demystifying big data analytics for business intelligence through the Lens of marketing mix
Fan, S., Lau, R. Y. K., & Zhao, J. L. (2015) · Big Data Research · doi:10.1016/j.bdr.2015.02.006 · Cited by 321
Exploring the role of customer relationship management (CRM) systems in customer knowledge creation
Khodakarami, F., & Chan, Y. E. (2014) · Information & Management · doi:10.1016/j.im.2013.09.001 · Cited by 321
Retention Futility: Targeting High-Risk Customers Might be Ineffective
Ascarza, E. (2018) · Journal of Marketing Research · doi:10.1509/jmr.16.0163 · Cited by 295
Review of life cycle assessment towards sustainable product development
Chang, D., Lee, C. K. M., & Chen, C.-H. (2014) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2014.07.050 · Cited by 211
Caputo, F., Cillo, V., Candelo, E., & Liu, Y. (2019) · Management Decision · doi:10.1108/md-07-2018-0833 · Cited by 199
A Survey on Churn Analysis in Various Business Domains
Ahn, J., Hwang, J., Kim, D., Choi, H., & Kang, S. (2020) · IEEE Access · doi:10.1109/access.2020.3042657 · Cited by 108
“The analytical CRM is focused on developing databases and resources containing customer characteristics and attitudes [24], [25], [30].”
BackgroundAn effective hybrid learning system for telecommunication churn prediction
Huang, Y., & Kechadi, T. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.04.020 · Cited by 90
Seven Paradoxes of Business Process Management in a Hyper-Connected World
Beverungen, D., Buijs, J. C. A. M., Becker, J., Di Ciccio, C., van der Aalst, W. M. P., Bartelheimer, C., vom Brocke, J., Comuzzi, M., Kraume, K., Leopold, H., et al. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00646-z · Cited by 89
Allil, K. (2024) · Journal of Marketing Analytics · doi:10.1057/s41270-023-00281-z · Cited by 57
Artificial Intelligence Tool Penetration in Business: Adoption, Challenges and Fears
Schlögl, S., Postulka, C., Bernsteiner, R., & Ploder, C. (2019) · Communications in Computer and Information Science · doi:10.1007/978-3-030-21451-7_22 · Cited by 52
Ledro, C., Nosella, A., Vinelli, A., Dalla Pozza, I., & Souverain, T. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115531 · Cited by 33
Hua, N., Hight, S., Wei, W., Ozturk, A. B., Zhao, X. (., Nusair, K., & DeFranco, A. (2019) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-02-2018-0168 · Cited by 28
Metadata
- Authors
- Ngai, E. W. T., Xiu, L., & Chau, D. C. K.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 36
- Issue
- 2
- Pages
- 2592-2602
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2147953360
- Cited by
- 1,266
- References
- 5
- FWCI
- 107.58
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
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.
