Results 61 to 70 of about 9,240 (196)

Churn prediction for SaaS company with machine learning [PDF]

open access: yesInnovation & Management Review
Purpose – In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company’s ...
Hugo Eduardo Sanches   +2 more
doaj   +1 more source

Employee turnover prediction and retention policies design: a case study [PDF]

open access: yes, 2017
This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed.
Perthame, Benoît   +2 more
core   +2 more sources

Conditional Gains: When AI Investment Enhances Firm Efficiency

open access: yesScottish Journal of Political Economy, EarlyView.
ABSTRACT The rapid adoption of artificial intelligence (AI) has raised questions about its effect on firm performance. Using a labor‐based measure of AI investment, the baseline results show no direct association between AI investment and firm efficiency.
Pantelis Kazakis
wiley   +1 more source

Banking customer churn prediction using random forest based on Smote and Adasyn approach

open access: yesTạp chí Phát triển và Hội nhập
Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced.
Cong Thanh Tran
doaj   +1 more source

Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement

open access: yesPsychology &Marketing, Volume 43, Issue 5, Page 1145-1159, May 2026.
ABSTRACT As Generative Artificial Intelligence (GenAI) platforms, such as ChatGPT, have transformed digital search querying behavior, mounting operational costs challenge firms to explore alternative monetization strategies beyond traditional subscription models.
Veronica Rosendo‐Rios, Paurav Shukla
wiley   +1 more source

From a ‘patchwork of platforms’ to the platformized school? The changing nature of data infrastructures in education

open access: yesBritish Journal of Educational Technology, Volume 57, Issue 3, Page 674-689, May 2026.
Abstract This article examines recent trends in the data infrastructures of Australian schools. Data interoperability has become integral to school operations as it enables data to flow between the array of applications that are used by the school and the broader school system by using a standardized format.
Luci Pangrazio
wiley   +1 more source

A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction

open access: yesInformation
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz   +4 more
doaj   +1 more source

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach

open access: yesFuture Internet, 2021
With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing ...
Latifah Almuqren   +2 more
doaj   +1 more source

The Role of Peer Influence in Churn in Wireless Networks

open access: yes, 2014
Subscriber churn remains a top challenge for wireless carriers. These carriers need to understand the determinants of churn to confidently apply effective retention strategies to ensure their profitability and growth. In this paper, we look at the effect
Ferreira, Pedro, Han, Qiwei
core   +1 more source

Access Control in Healthcare IoT: A Comprehensive Survey

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
This survey analyses access control mechanisms in Healthcare IoT, reviewing traditional and emerging models, identifying security and privacy challenges, and highlighting open research issues. It provides a comparative perspective to support the design of secure, scalable, and patient‐centric healthcare IoT systems.
Aleena Nazir   +3 more
wiley   +1 more source

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