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Customer churn prediction for telecommunication industry: A Malaysian Case Study
15 references·7 citing·57 second hop
Customer churn prediction for telecommunication industry: A Malaysian Case Study (2021)Customer churn prediction for telecommuni…The use of Net Promoter Score (NPS) to predict sales growth: insights from an empirical investigation (2021)The use of Net Promoter Score…Profit Driven Decision Trees for Churn Prediction (2020)Profit Driven Decision Trees …Employee turnover intentions and job performance from a planned change: the effects of an organizational learning culture and job satisfaction (2020)Employee turnover intentions …Service quality and customer satisfaction: The moderating effects of hotel star rating (2019)Service quality and customer …Customer satisfaction, loyalty, knowledge and competitiveness in the food industry (2019)Customer satisfaction, loyalt…Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …Correlation Coefficients: Appropriate Use and Interpretation (2018)Correlation Coefficients: App…Churn prediction on huge telecom data using hybrid firefly based classification (2017)Churn prediction on huge tele…A Survey on Customer Churn Prediction using Machine Learning Techniques (2016)A Survey on Customer Churn Pr…Managing B2B customer churn, retention and profitability (2014)Managing B2B customer churn, …Measuring Customer Satisfaction with Service Quality Using American Customer Satisfaction Model (ACSI Model) (2011)Measuring Customer Satisfacti…Customer switching behaviour in the Chinese retail banking industry (2010)Customer switching behaviour …A holistic examination of Net Promoter (2008)A holistic examination of Net…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…Relationships between employee attitudes, customer satisfaction and departmental performance (1996)Relationships between employe…RetenNet: A Deployable Machine Learning Pipeline with Explainable AI and Prescriptive Optimization for Customer Churn Management (2025)RetenNet: A Deployable Machin…An Integrated Framework for Optimizing Customer Retention Budget using Clustering, Classification, and Mathematical Optimization (2025)An Integrated Framework for O…A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey (2024)A Decade of Churn Prediction …Classification of customer churn prediction model for telecommunication industry using analysis of variance (2023)Classification of customer ch…A Review on Machine Learning-Based Customer Churn Prediction in the Telecom Industry (2023)A Review on Machine Learning-…Customer Churn Prediction using Machine Learning (2022)Customer Churn Prediction usi…Application of Machine Learning in Predicting Customer Satisfaction of Telecom Service Providers (2022)Application of Machine Learni…Service management and marketing: managing the moments of truth in service competition (1990)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-Business Service Context (2004)A review and analysis of churn prediction methods for customer retention in telecom industries (2017)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Linking big data analytical intelligence to customer relationship management performance (2020)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Firm resources and sustained competitive advantage (2004)An empirical study of transformational leadership, team performance and service quality in retail banks (2011)Customer reactions to service failure and recovery in the banking industry: the influence of switching costs (2013)An Indian customer surrounding 7P׳s of service marketing (2014)Zero defections: quality comes to services. 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References

  • 2018Correlation Coefficients: Appropriate Use and Interpretation10,949 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2011Measuring Customer Satisfaction with Service Quality Using American Customer Satisfaction Model (ACSI Model)382 cited
  • 2019Service quality and customer satisfaction: The moderating effects of hotel star rating381 cited
  • 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry325 cited
  • 2020Employee turnover intentions and job performance from a planned change: the effects of an organizational learning culture and job satisfaction209 cited
  • 2010Customer switching behaviour in the Chinese retail banking industry155 cited
  • 2021The use of Net Promoter Score (NPS) to predict sales growth: insights from an empirical investigation144 cited
  • 2020Profit Driven Decision Trees for Churn Prediction130 cited
  • 2014Managing B2B customer churn, retention and profitability122 cited
  • 2019Customer satisfaction, loyalty, knowledge and competitiveness in the food industry96 cited
  • 2017Churn prediction on huge telecom data using hybrid firefly based classification87 cited
  • 2008A holistic examination of Net Promoter85 cited
  • 2016A Survey on Customer Churn Prediction using Machine Learning Techniques

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71 cited
  • 1996Relationships between employee attitudes, customer satisfaction and departmental performance60 cited
  • Cited by

    • 2023Classification of customer churn prediction model for telecommunication industry using analysis of variance13 cited
    • 2022Customer Churn Prediction using Machine Learning13 cited
    • 2024A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey12 cited
    • 2025RetenNet: A Deployable Machine Learning Pipeline with Explainable AI and Prescriptive Optimization for Customer Churn Management9 cited
    • 2023A Review on Machine Learning-Based Customer Churn Prediction in the Telecom Industry7 cited
    • 2025An Integrated Framework for Optimizing Customer Retention Budget using Clustering, Classification, and Mathematical Optimization6 cited
    • 2022Application of Machine Learning in Predicting Customer Satisfaction of Telecom Service Providers6 cited