Results 41 to 50 of about 17,450 (209)
ABSTRACT This study explores the immediate responses of portfolio entrepreneurs (PEs) in the Netherlands to the onset of the COVID‐19 pandemic. Employing a longitudinal design, real‐time data were collected from 21 PEs through verbal interviews and open‐ended questionnaires, capturing their initial entrepreneurial reactions.
Tobias Kutzewski, Ingrid A. M. Wakkee
wiley +1 more source
Explaining customer churn prediction in telecom industry using tabular machine learning models
The study addresses customer churn, a major issue in service-oriented sectors like telecommunications, where it refers to the discontinuation of subscriptions.
Sumana Sharma Poudel +2 more
doaj +1 more source
Churn Prediction in Banking Sector
The membership of a banking system depends on the interest provided for the account , charges on the transactions and the services provided on the account. Now-a- days, many banks provide competitive services which give customers options to choose from.
Pratik Vinayak Kamble +3 more
openaire +1 more source
Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement
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
Customer churn prediction in telecom sector using machine learning techniques
In the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base. Here, getting a new customer base is costlier than holding the current customers where churn is the process of customers switching from one ...
Sharmila K. Wagh +5 more
doaj +1 more source
Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction
The telecommunications industry is greatly concerned about customer churn due to dissatisfaction with service. This industry has started investing in the development of machine learning (ML) models for churn prediction to extract, examine and visualize ...
Ibrahim Al-Shourbaji +4 more
doaj +1 more source
Churn prediction in online gambling
14 pages, 3 figures Submitted to Expert Systems with ...
Merchie, Florian, Ernst, Damien
openaire +3 more sources
Abstract In this article, the key dilemmas that will confront the new Labour administration in Britain during its initial period in power are examined. The Starmer government is seeking to use the state pragmatically to improve British economic performance, stem the crisis in public services and strengthen the strategic capacity of Whitehall.
Patrick Diamond +2 more
wiley +1 more source
Policy Points Ultraprocessed foods (UPFs) are engineered to heighten reward and accelerate delivery of reinforcing ingredients, driving compulsive consumption and disrupting appetite regulation. This is a growing challenge for health policy. UPFs share key engineering strategies adopted from the tobacco industry, such as dose optimization and hedonic ...
ASHLEY N. GEARHARDT +2 more
wiley +1 more source
FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making
Customer churn prediction has become crucial for businesses, yet it poses significant challenges regarding privacy preservation and prediction accuracy.
Rashmi Nagpal +3 more
doaj +1 more source

