The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Computer assisted customer churn management: State-of-the-art and future trends
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Citations
Cites
Customer satisfaction, customer retention, and market share
Rust, R. T., & Zahorik, A. J. (1993) · Journal of Retailing · doi:10.1016/0022-4359(93)90003-2 · Cited by 2,150
Understanding customer relationship management (CRM): People, process and technology
Chen, I. J., & Popovich, K. (2003) · Business Process Management Journal · doi:10.1108/14637150310496758 · Cited by 1,227
Kim, M.-K., Park, M.-C., & Jeong, D.-H. (2004) · Telecommunications Policy · doi:10.1016/j.telpol.2003.12.003 · Cited by 969
Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior
Athanassopoulos, A. D. (2000) · Journal of Business Research · doi:10.1016/s0148-2963(98)00060-5 · Cited by 629
Data mining techniques for customer relationship management
Rygielski, C., Wang, J.-C., & Yen, D. C. (2002) · Technology in Society · doi:10.1016/s0160-791x(02)00038-6 · Cited by 508
Turning telecommunications call details to churn prediction: a data mining approach
Wei, C.-P., & Chiu, I.-T. (2002) · Expert Systems with Applications · doi:10.1016/s0957-4174(02)00030-1 · Cited by 460
Customer attrition analysis for financial services using proportional hazard models
Van den Poel, D., & Larivière, B. (2004) · European Journal of Operational Research · doi:10.1016/s0377-2217(03)00069-9 · Cited by 430
Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market
Kim, H.-S., & Yoon, C.-H. (2004) · Telecommunications Policy · doi:10.1016/j.telpol.2004.05.013 · Cited by 417
Hwang, H., Jung, T., & Suh, E. (2004) · Expert Systems with Applications · doi:10.1016/s0957-4174(03)00133-7 · Cited by 411
Lee, T.-S., Chiu, C.-C., Chou, Y.-C., & Lu, C.-J. (2006) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2004.11.006 · Cited by 378
Cited by
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
A machine learning framework for customer purchase prediction in the non-contractual setting
Martínez, A., Schmuck, C., Pereverzyev, S., Pirker, C., & Haltmeier, M. (2020) · European Journal of Operational Research · doi:10.1016/j.ejor.2018.04.034 · Cited by 264
Idris, A., Rizwan, M., & Khan, A. (2012) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2012.09.001 · Cited by 139
The Effects and Interactions of Data Quality and Problem Complexity on Classification
Blake, R., & Mangiameli, P. (2011) · Journal of Data and Information Quality · doi:10.1145/1891879.1891881 · Cited by 132
A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services
Skorin-Kapov, L., Varela, M., Hoßfeld, T., & Chen, K.-T. (2018) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/3176648 · Cited by 116
Metadata
- Authors
- Hadden, J., Tiwari, A., Roy, R., & Ruta, D.
- Venue
- Computers & Operations Research
- Publisher
- Elsevier BV
- Published
- 2007-10
- Volume
- 34
- Issue
- 10
- Pages
- 2902-2917
- ISSN
- 0305-0548 (ISSN-L)
- OpenAlex
- W1990788070
- Cited by
- 338
- References
- 45
- FWCI
- 8.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Computer assisted customer churn management: State-of-the-art and future trends. https://app.cochat.ai/papers/10.1016/j.cor.2005.11.007
- The paper
- Hadden, J., Tiwari, A., Roy, R., & Ruta, D. (2007). Computer assisted customer churn management: State-of-the-art and future trends. Computers & Operations Research. https://doi.org/10.1016/j.cor.2005.11.007
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.
