Knowledge management and data mining for marketing
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In modern services including Internet and retail, frequent customer churns occur due to low customers' investment costs.
“In the past, customer churn had occurred explicitly through contractual cancellations, however, in the modern services including Internet and retail services, frequent customer churns occur due to the low customers' investment costs [19] [20] [21] [96].”
From A Survey on Churn Analysis in Various Business Domains (2020) · cites this paper as [19]
The Pareto/NBD method has been actively used as a probability model for deriving the CLV until recently.
“The Pareto/NBD method has been actively used as a probability model for deriving the CLV until recently [19] [147] [148].”
From A Survey on Churn Analysis in Various Business Domains (2020) · cites this paper as [19]
Cited by
Sorted by citations
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 · see citing works
Artificial Intelligence in Supply Chain Management: A Systematic Literature Review
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.009 · Cited by 1,020 · see citing works
“Gligor et al. (2018) propose an ANN-based solution for forecasting the electricity production of a photovoltaic power plant, and Sheremetov et al. (2013) focus on different models, such as a feedforward neural network model and a Gamma classifier for forecasting in the time series context of…”
MethodMariani, M. M., Perez‐Vega, R., & Wirtz, J. (2022) · Psychology & Marketing · doi:10.1002/mar.21619 · Cited by 631 · see citing works
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 · see citing works
Forecasting and operational research: a review
Fildes, R., Nikolopoulos, K., Crone, S. F., & Syntetos, A. A. (2008) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2602597 · Cited by 287 · see citing works
Verhoef, P. C., Spring, P. N., Hoekstra, J. C., & Leeflang, P. S. H. (2003) · Decision Support Systems · doi:10.1016/s0167-9236(02)00069-6 · Cited by 125 · see citing works
Coussement, K., Benoit, D. F., & Van den Poel, D. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.07.029 · Cited by 117 · see citing works
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 · see citing works
Application of customer satisfaction study to derive customer knowledge
Hsu, S.-H., Chen, W.-H., & Hsueh, J.-T. (2006) · Total Quality Management & Business Excellence · doi:10.1080/14783360500528197 · Cited by 61 · see citing works
Understanding Why Marketing Does Not Use the Corporate Data Warehouse for CRM Applications
Payton, F. C., & Zahay, D. (2003) · Journal of Database Marketing & Customer Strategy Management · doi:10.1057/palgrave.jdm.3240121 · Cited by 30 · see citing works
- Authors
- Shaw, M. J., Subramaniam, C., Tan, G. W., & Welge, M. E.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Shaw, Michael J
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2001-05
- Volume
- 31
- Issue
- 1
- Pages
- 127-137
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2168877816
- Cited by
- 575
- References
- 0
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 13 · 2023: 14 · 2022: 20 · 2021: 18 · 2020: 26 · 2019: 18 · 2018: 34 · 2017: 32 · 2016: 24 · 2015: 44 · 2014: 33 · 2013: 35 · 2012: 34
- FWCI
- 72.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Decision Support Systems (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- knowledge management, data mining, marketing, customer relationship management, marketing decision support, customer data, purchase patterns, client characteristics, marketing knowledge management
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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