Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of
new attractive offers, the considerable issue of customer churn was faced by the …

In the telecom sector, a huge volume of data is being generated on a daily basis due to a
vast client base. Decision makers and business analysts emphasized that attaining new …

While the debate on online service failure and recovery strategies has been given
considerable attention in the marketing and information systems literature, the evolving …

Customization of products or services is a strategy that the business sector has embraced to
build a better relationship with the customers to cater to their individual needs and thus …

This paper explores the application of various machine learning techniques for predicting
customer churn in the telecommunications sector. We utilized a publicly accessible dataset …

In this paper, we base our research by dealing with a real‐world problem in an enterprise. A
RFM (recency, frequency, and monetary) model and K‐means clustering algorithm are …

Abstract Social Customer Relationship Management (social CRM) has become one of the
central points for many companies seeking to improve their customer experience. It …

Without proper analysis and forecasting, industries will find themselves repeatedly churning
customers, which the telecom industry in particular cannot afford. A predictable model for …

This study presents an implementation of a Machine Learning model to predict customer
loyalty for a financial company. We compare the accuracy of two Gradient Boosting Decision …

Abstract This Special Issue is dedicated to current issues in strategic knowledge
management in the Era of digital. Despite all the research around knowledge management …