Estimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov model

dc.contributor.authorPortela, S.
dc.contributor.authorMenezes, R.
dc.date.accessioned2022-02-03T16:09:37Z
dc.date.available2022-02-03T16:09:37Z
dc.date.issued2016
dc.date.updated2022-02-03T16:08:13Z
dc.description.abstractCustomer churn has been stated as one of the main reasons of profitability losses in the telecommunications industry. As such, it seems critical to have an a priori knowledge about the risk of a given customer to churn at any moment, in order to take preventive measures to avoid the defection of potentially profitable customers. This study intends to develop a duration model of the residential customer churn in this industry in Portugal. We found empirical evidence that the variables that influence customer churn are the total number of overdue bills since ever, average monthly spending, average value of additional internet traffic, payment method, equipment renting, and the subscription of a flat plan. We also found that the probability of a customer to churn is neither constant over time nor across customers.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.issn2408-1914
dc.identifier.urihttp://hdl.handle.net/10071/24430
dc.journalInternational Journal of Management, Business, and Economics
dc.language.isoeng
dc.number1
dc.pagination121 - 129
dc.peerreviewedyes
dc.publisherGraduate College of Management, Sripatum University
dc.rightsopen access
dc.subjectDuration modelseng
dc.subjectSemi-Markov modelseng
dc.subjectCustomer churneng
dc.subjectCustomer retentioneng
dc.subjectCustomer managementeng
dc.titleEstimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov modeleng
dc.typearticle
dc.volume3
degois.publication.firstPage121
degois.publication.issue1
degois.publication.lastPage129
degois.publication.titleEstimating a customer churn model in the ADSL industry in Portugal: The use of a Semi-Markov modeleng
dspace.entity.typePublicationen
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-85821

Ficheiros

Pacote original

A mostrar 1 - 1 de 1
A carregar...
Nome:
article_85821.pdf
Tamanho:
844.36 KB
Formato:
Adobe Portable Document Format
Descrição:
Versão Editora