Results 51 to 60 of about 2,167,087 (189)
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
Separating the Costs and Benefits of Employee Turnover: A Theory‐Driven Method and Applications
ABSTRACT Employee turnover is costly, but it may also benefit performance through improving job‐worker match quality. Existing studies estimate only the net turnover‐performance relationship, ignoring benefits and biasing cost estimates. We develop a theory‐driven method that separately identifies operational costs and match‐quality benefits of ...
Elena Rapoport, Nick Zubanov
wiley +1 more source
The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju +2 more
doaj
ABSTRACT During the 2010 crisis, the Portuguese government enacted several reforms to its prescription drug reimbursement system. As a result, value added per pharmacist in pharmacies fell by a third. We use longitudinal records from Quadros de Pessoal (QP), merged with collective bargaining data and firm financial records, to study the impacts of the ...
David Card +2 more
wiley +1 more source
ABSTRACT This survey interprets the evolution of quantitative equity investing as a history of changing constraints rather than a succession of increasingly complicated forecasting models. Portfolio theory made diversification calculable; characteristic‐based investing converted value, momentum, profitability, and low‐risk effects into scalable ...
Xuan Feng, Julio P. Cardozo, Dehua Xia
wiley +1 more source
Customer churn prediction is a key application of predictive analytics in customer relationship management, enabling organisations to identify customers at risk of leaving and implement retention strategies.
Olasomi Labo-Popoola
doaj +1 more source
A joint model of cost and churn for the insurance industry
Abstract In insurance markets, claim costs are highly variable, heavy‐tailed, and difficult to predict. At the same time, policyholder retention and lapse behavior (customer churn) are critical determinants of long‐term profitability and solvency. Most existing models in the literature treat claim costs and lapses as independent, overlooking potential ...
Yumo Dong +4 more
wiley +1 more source
The Practice and Origins of Performance Measurement: Assessing the Sunnyvale Model, 1984–2023
ABSTRACT Few regulatory reforms are as celebrated or emulated as the performance measurement system of Sunnyvale, California, which inspired the Government Performance and Results Act of 1993 and countless other national and local efforts. This study presents the first longitudinal, cross‐programmatic analysis of a performance measurement system ...
Joyce Kasing Tagal +2 more
wiley +1 more source
The telecommunications sector has experienced exponential growth since the year 2000, reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for telecommunications companies.
David Freire +3 more
doaj +1 more source
Customer Churn Prediction System: A Guided Web Work-flow for Local Training, Prediction, and Explainable Out-puts [PDF]
Customer churn—the event of a customer discontinuing a service—directly affects revenue and retention planning. This paper presents a Customer Churn Prediction System implemented as a guided web workflow that turns churn modeling into an interactive ...
Menaka G. +2 more
doaj +1 more source

