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Cited by 76Customer churn and segmentationCustomer Service Quality and LoyaltyDigital Marketing and Social Media

Estimating the effect of word of mouth on churn and cross-buying in the mobile phone market with Markov logic networks

Dierkes, Torsten, Bichler, Martin, Krishnan, Ramayya·2011·Decision Support Systems
DOI 10.1016/j.dss.2011.01.002
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Crossref · 10.1016/j.dss.2011.01.002

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  • 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 [148]

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Authors
Dierkes, T., Bichler, M., & Krishnan, R.
Affiliations
  • Technical University of Munich (DE)
  • Carnegie Mellon University (US)
Corresponding author
Bichler, Martin
ORCID
Venue
Decision Support Systems
Publisher
Elsevier BV
Published
2011-06
Volume
51
Issue
3
Pages
361-371
ISSN
0167-9236 (ISSN-L)
DOI
10.1016/j.dss.2011.01.002
OpenAlex
W2032599855
Cited by
76
References
4
Citations by year
2026: 3 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 4 · 2020: 3 · 2019: 5 · 2018: 3 · 2017: 10 · 2016: 3 · 2015: 12 · 2014: 11 · 2013: 8 · 2012: 6
FWCI
22.64
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Decision Support Systems (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
Keywords
word of mouth, customer churn, cross-buying, mobile phone market, call detail records, Markov logic networks, social networks, network effects, telecommunications customers, propositionalization, logit model

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