Results 61 to 70 of about 17,717 (205)
Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG
Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann +2 more
wiley +1 more source
A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction
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
Abstract Trust and fairness are critical to the sustainable development of the sharing economy, particularly in platform–supplier relationships, where numerous individual suppliers offer access to their durable assets without transferring ownership. Motivated by the real‐world phenomenon of personalized wages and informed through direct interactions ...
Ying Yin, Xishu Li
wiley +1 more source
Do re‐employment bonuses increase employment? Evidence from the Idaho Return to Work Bonus programme
Abstract In June 2020, Idaho announced the Return to Work Bonus (RWB) programme, which provided residents who returned to work with bonuses of up to $1500. We present difference‐in‐differences, triple differences, event studies and synthetic control estimates suggesting that the programme may have supported employment and workforce participation ...
Duncan R. Hobbs, Michael R. Strain
wiley +1 more source
Predicting the influencers on wireless subscriber churn [PDF]
Wireless carriers have various churn models that are mainly based on profiling the customers and assigning churn probabilities to them. Profiling is usually limited to their individual data, such as their subscription history, demographics, usage, etc.
Sara Motahari +5 more
openaire +1 more source
ABSTRACT Multi‐sided platform (MSP) models have become more relevant for incumbent companies, requiring them to develop MSP engagement strategies. This study sheds light on the complex process incumbents undergo in developing platform strategies. Adopting an inductive research design, we conducted interviews with 37 decision‐makers across 35 incumbent ...
Lukas Zechel, Vivek K. Velamuri
wiley +1 more source
Application of machine learning techniques for churn prediction in the telecom business
The telecom business generates a significant amount of data on a daily basis due to its massive client base. Acquiring a fresh client base is more expensive than retaining existing customers, whereas churn refers to customers transitioning from one ...
Raji Krishna +5 more
doaj +1 more source
Affiliated Mutual Funds: Beyond the Reach of the Invisible Hand?
ABSTRACT In many countries, banks are the primary distribution channel for mutual funds and predominantly sell products issued by their own asset management divisions (“affiliated funds”). We examine how this lack of competition affects managerial activeness, fund performance, and investor outcomes.
Dominik Scheld +3 more
wiley +1 more source
Long‐Term Institutional Investors and Executive Compensation
ABSTRACT Standard agency theory views would suggest that long‐term investors will use long‐term CEO compensation to align incentives and promote long‐term value maximization. An alternative view is that long‐term investors—who are more able to bear the fixed costs associated with monitoring—will monitor more heavily than short‐term investors, reducing ...
T. Colin Campbell +2 more
wiley +1 more source
Research on Customer Churn Prediction Using Machine Learning Models [PDF]
The percentage of consumers or subscribers that discontinue using a product or service within a given time frame is known as the “churn rate.” Hence, using machine learning models to estimate the number of possible churn consumers is crucial for ...
Jia Xiaolei
doaj +1 more source

