Customer Churn in Mobile Markets: A Comparison of Techniques

Unknown author

63 citations0/0 files storedInternational Business Research

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Customer churn and segmentation Customer Service Quality and Loyalty Data Mining and Machine Learning Applications

Abstract

The high increase in the number of companies competing in mature markets makes customer retention an important factor for any company to survive. Thus, many methodologies (e.g., data mining and statistics) have been proposed to analyse and study customer retention. The validity of such methods is not yet proved though. This paper tries to fill this gap by empirically comparing two techniques: Customer churn - decision tree and logistic regression models. The paper proves the superiority of decision tree technique and stresses the needs for more advanced methods to churn modelling.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 63 citations exist upstream.

References

2001The impact of switching costs on the customer satisfaction‐loyalty link: mobile phone service in France 2005The analysis of antecedents of customer loyalty in the Turkish mobile telecommunication market 2001Knowledge management and data mining for marketing 2005Applying data mining to telecom churn management 2002Turning telecommunications call details to churn prediction: a data mining approach 2011Customer churn prediction in telecommunications 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry 2014The effects of individual differences on e-learning users’ behaviour in developing countries: A structural equation model

Cited by

2016The Effect of Knowledge Management Uses on Total Quality Management Practices: A Theoretical Perspective 2017Data-driven agent-based exploration of customer behavior 2023Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion 2016Developing the Main Knowledge Management Process via Social Media in the IT Organisations: A Conceptual Perspective

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.