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Transparency in Decision-Making: The Role of Explainable AI (XAI) in Customer Churn Analysis
9 references·1 citing·44 second hop
Transparency in Decision-Making: The Role of Explainable AI (XAI) in Customer Churn Analysis (2025)Transparency in Decision-Making: The Role…The effect of Arabic language type on banking chatbots adoption (2023)The effect of Arabic language…Determinants of churn in telecommunication services: a systematic literature review (2023)Determinants of churn in tele…What Do We Know About Customer Churn Behaviour in the Telecommunication Industry? A Bibliometric Analysis of Research Trends, 1985–2019 (2021)What Do We Know About Custome…Machine learning techniques applied to prepaid subscribers: Case study on the telecom industry of Morocco (2017)Machine learning techniques a…Improving churn prediction in telecommunications using complementary fusion of multilayer features based on factorization and construction (2014)Improving churn prediction in…Customer engagement: Innovation in non-technical marketing processes (2013)Customer engagement: Innovati…Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies (2012)Churn prediction in telecom u…A new filter feature selection approach for customer churn prediction in telecommunications (2010)A new filter feature selectio…SPC with Applications to Churn Management (2004)SPC with Applications to Chur…AI-Driven Predictive Customer Analytics for Forecasting Behavior, Churn and Future Buying Patterns (2025)AI-Driven Predictive Customer…Turning telecommunications call details to churn prediction: a data mining approach (2002)Applying data mining to telecom churn management (2005)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction methodologies in the telecommunications sector: A survey (2013)Design and Implementation of a System for Comparative Analysis of Learning Architectures for Churn Prediction (2021)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models (1982)The Commitment-Trust Theory of Relationship Marketing (1994)The Customer Engagement Ecosystem (2015)The transpiring journey of customer engagement research in marketing (2016)Customer engagement through omnichannel retailing: The effects of channel integration quality (2018)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Computer assisted customer churn management: State-of-the-art and future trends (2005)Customer churn prediction using improved balanced random forests (2008)Early churn prediction with personalized targeting in mobile social games (2017)A Survey on Churn Analysis in Various Business Domains (2020)Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm (2020)Statistical Process Control (1991)Introduction to Statistical Quality Control (1997)Analysis of ordered categorical data to develop control charts for monitoring customer loyalty (2009)Monitoring a fraction with easy and reliable settings of the false alarm rate (2009)Methods and evaluations for surveillance in industry, business, finance, and public health (2011)Handling class imbalance in customer churn prediction (2008)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)A comparison of machine learning techniques for customer churn prediction (2015)Handbook of Qualitative Research. (1995)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)How to conduct a bibliometric analysis: An overview and guidelines (2021)Using Machine Learning Algorithms to Analyze Customer Churn in the Software as a Service (SaaS) Industry (2022)A novel methodological approach to SaaS churn prediction using whale optimization algorithm (2025)Predictive Analytics for Telecom Customer Churn: Enhancing Retention Strategies in the US Market (2025)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Understanding Customer Experience Throughout the Customer Journey (2016)Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction (2024)A comprehensive survey on customer churn analysis studies (2025)Mitigating class imbalance in churn prediction with ensemble methods and SMOTE (2025)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Unleashing the power of artificial intelligence in Islamic banking: A case study of Bank Syariah Indonesia (BSI) (2024)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)The bibliometric analysis of scholarly production: How great is the impact? (2015)The journal coverage of Web of Science and Scopus: a comparative analysis (2015)
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References

  • 2012Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies138 cited
  • 2023Determinants of churn in telecommunication services: a systematic literature review57 cited
  • 2013Customer engagement: Innovation in non-technical marketing processes50 cited
  • 2021What Do We Know About Customer Churn Behaviour in the Telecommunication Industry? A Bibliometric Analysis of Research Trends, 1985–201930 cited
  • 2004SPC with Applications to Churn Management23 cited
  • 2023The effect of Arabic language type on banking chatbots adoption17 cited
  • 2010A new filter feature selection approach for customer churn prediction in telecommunications15 cited
  • 2017Machine learning techniques applied to prepaid subscribers: Case study on the telecom industry of Morocco11 cited
  • 2014Improving churn prediction in telecommunications using complementary fusion of multilayer features based on factorization and construction10 cited

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  • 2025AI-Driven Predictive Customer Analytics for Forecasting Behavior, Churn and Future Buying Patterns6 cited

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